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Shao J, Zhang L, Cai C. Dynamic evolution and spatial spillover effect of agricultural green development on eight economic regions in China. Heliyon 2024; 10:e33188. [PMID: 39005913 PMCID: PMC11239686 DOI: 10.1016/j.heliyon.2024.e33188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 05/08/2024] [Accepted: 06/16/2024] [Indexed: 07/16/2024] Open
Abstract
Promoting the green development of agriculture is of great significance to realize agricultural and rural modernization in China. Based on the existing research, this paper innovatively explores the dynamic and spatial effects of agricultural green development in the eight newly zoned regions of China's economy. Based on the panel data of 30 provinces in China from 2013 to 2022, this paper selects 20 indicators to measure the level of agricultural green development from five dimensions such as ecological protection, resource conservation, environment-friendly, green supply and economic growth by entropy weight method and uses non-parametric estimation method to analyze the dynamic evolution trend of agricultural green development in the whole country and its eight economic regions. Then, a spatial econometric model is constructed to further explore the influence mechanism and spatial spillover effect of each influencing factor on agricultural green development. The findings demonstrate that the level of agricultural green development in 30 provinces of China continuously improved during the study period, but the dynamic evolution trend characteristics in the whole country and its eight economic regions are not the same. Specifically, the development differences between the whole country, the northeast region, the eastern coast, the southern coast and the northwest region increased, while that between the northern coast, the Yellow River basin and the middle reaches of the Yangtze River first increased and then decreased, and that in the southwestern region gradually narrowed. There is a significant spatial spillover effect on agricultural green development and its influencing factors. Moreover, there is heterogeneity in the influence characteristics and spatial spillover effects of various influencing factors on agricultural green development among the eight economic regions. Therefore, it is proposed that eight economic regions in China should formulate differentiated development strategies, focus on educational and technological innovation etc., and further promote agricultural green development.
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Affiliation(s)
- Jingbo Shao
- Economic Institute, Guizhou University of Finance and Economics, Guiyang, 550025, China
- International Tourism Culture College, Guizhou Normal University, Guiyang, 550025, China
| | - Lin Zhang
- Economic Institute, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Chengzhi Cai
- Economic Institute, Guizhou University of Finance and Economics, Guiyang, 550025, China
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2
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Yu X, Sheng G, Sun D, He R. Effect of digital multimedia on the adoption of agricultural green production technology among farmers in Liaoning Province, China. Sci Rep 2024; 14:13092. [PMID: 38849455 PMCID: PMC11161625 DOI: 10.1038/s41598-024-64049-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 06/04/2024] [Indexed: 06/09/2024] Open
Abstract
Agricultural green production technology (AGPT) is essential for the sustainable development of agriculture, yet adoption rates among farmers are often low due to limited access to education and information. Based on the extended technology acceptance model, this study takes Liaoning, a major agricultural province in China, as a representative region to explore how digital multimedia influences the adoption of AGPT by farmers. The findings show that the perceived ease of use of these technologies significantly enhances farmers' intentions to adopt, while perceived risks detract from these intentions. Although digital multimedia effectively promotes AGPT by improving its perceived ease of use and usefulness, its role in mitigating perceived risks is minimal. Based on these results, we recommend that the government improve the quality of information on digital platforms by involving experts in the field and offer specific digital marketing training to potential users to increase the adoption of sustainable agricultural technologies.
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Affiliation(s)
- Xueying Yu
- Dalian Neusoft University of Information, Dalian, China
| | - Guojun Sheng
- Dalian Neusoft University of Information, Dalian, China
| | - Dongshi Sun
- Dalian Neusoft University of Information, Dalian, China
| | - Rui He
- Wenzhou Business College, Wenzhou, China.
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Dhayal KS, Agrawal S, Agrawal R, Kumar A, Giri AK. Green energy innovation initiatives for environmental sustainability: current state and future research directions. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:31752-31770. [PMID: 38656717 DOI: 10.1007/s11356-024-33286-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 04/07/2024] [Indexed: 04/26/2024]
Abstract
Worldwide, all countries have been facing the crisis of climate change problem. They have been addressing this issue by focusing on implementing green energy innovation initiatives and promoting a sustainable future through environmental sustainability. In this research study, we focus on examining the role of green finance through green energy innovations, which are taking place in several sectors across different regions to promote environmental sustainability. The study has analysed 152 articles on this research domain through a systematic literature review to understand the present state of existing knowledge. The current study examines the Scopus-indexed research articles from the time period 2002 to 2023. Six emerging themes have been examined to understand their development and the potential impact of green initiatives for environmental sustainability. Various institutional theories have been explored to understand their association with the investigated research area. The paper has discussed multiple challenges that need to be addressed for the speedy implementation of green innovations. Finally, future research questions have been proposed based on the findings from the extant literature and the existing research gaps.
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Affiliation(s)
- Karambir Singh Dhayal
- Department of Economics and Finance, Birla Institute of Technology and Science (BITS), Pilani, India.
| | - Shruti Agrawal
- Department of Humanities and Social Sciences, Malaviya National Institute of Technology, Jaipur, Rajasthan, India
| | - Rohit Agrawal
- Operations Management and Quantitative Techniques, Indian Institute of Management, Bodhgaya, Bihar, India
| | - Anil Kumar
- Guildhall School of Business and Law, London Metropolitan University, London, UK
- Department of Management Studies, Graphic Era (Deemed to be University), Dehradu, Uttarakhand, India
| | - Arun Kumar Giri
- Department of Economics and Finance, Birla Institute of Technology and Science (BITS), Pilani, India
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4
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Cui M, Guo Y, Ji Y. Farmland transfer contract performance and green production technology adoption among farmers: evidence from a survey of four provinces in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:34184-34199. [PMID: 38698094 DOI: 10.1007/s11356-024-33456-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/20/2024] [Indexed: 05/05/2024]
Abstract
The popularization and use of green production technology is the key to promoting the sustainable development of agriculture. Exploring the path of promoting farmers' adoption of green production technology has important theoretical and practical significance for promoting the green transformation of agriculture and realizing the high-quality development of agriculture. This study examined the impact of contract performance on the adoption of green production technology in the farmland transfer market based on the characteristics of green production technology. An empirical test was conducted using survey data from Heilongjiang, Henan, Zhejiang, and Sichuan Provinces, which differ in agricultural resource endowment and economic development. The results demonstrated that farmland area was positively associated with the number of green production technologies adopted by farmers and use of straw returning, subsoiling, and soil testing for formula fertilization technology. Moreover, improving the performance rates of farmland transfer contracts strengthened the promotional effect of operation scale on green production technology adoption. Using either contract execution or dispute resolution rates to measure contract performance promoted the adoption of green production technology, particularly for large-scale farmers. Therefore, in the publicity and promotion of agricultural green production technology, the government should not only formulate differentiated promotion strategies and support policies based on resource endowment, but also focus on the construction of rural legal systems, which are helpful for building and maintaining a good farmland market order and performance environment, and create conditions for the durability and stability of technology adoption.
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Affiliation(s)
- Meiling Cui
- School of Finance and Economics, Jiangsu University, Zhenjiang, 212013, China
| | - Yang Guo
- School of Management, Jiangsu University, Zhenjiang, 212013, China.
| | - Yueqing Ji
- School of Economics and Management, Nanjing Agriculture University, Nanjing, 210095, China
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Yu C, Xu G, Cai M, Li Y, Wang L, Zhang Y, Lin H. Predicting environmental impacts of smallholder wheat production by coupling life cycle assessment and machine learning. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 921:171097. [PMID: 38387559 DOI: 10.1016/j.scitotenv.2024.171097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/05/2024] [Accepted: 02/17/2024] [Indexed: 02/24/2024]
Abstract
Wheat grain production is a vital component of the food supply produced by smallholder farms but faces significant threats from climate change. This study evaluated eight environmental impacts of wheat production using life cycle assessment based on survey data from 274 households, then built random forest models with 21 input features to contrast the environmental responses of different farming practices across three shared socioeconomic pathways (SSPs), spanning from 2024 to 2100. The results indicate significant environmental repercussions. Compared to the baseline period of 2018-2020, a similar upward trend in environmental impacts is observed, showing an average annual growth rate of 5.88 % (ranging from 0.45 to 18.56 %) under the sustainable pathway (SSP119) scenario; 5.90 % (ranging from 1.00 to 18.15 %) for the intermediate development pathway (SSP245); and 6.22 % (ranging from 1.16 to 17.74 %) under the rapid economic development pathway (SSP585). Variation in rainfall is identified as the primary driving factor of the increased environmental impacts, whereas its relationship with rising temperatures is not significant. The results suggest adopting farming practices as a vital strategy for smallholder farms to mitigate climate change impacts. Emphasizing appropriate fertilizer application and straw recycling can significantly reduce the environmental footprint of wheat production. Standardized fertilization could reduce the environmental impact index by 11.10 to 47.83 %, while straw recycling might decrease respiratory inorganics and photochemical oxidant formation potential by over 40 %. Combined, these approaches could lower the impact index by 12.31 to 63.38 %. The findings highlight the importance of adopting enhanced farming practices within smallholder farming systems in the context of climate change. SPOTLIGHTS.
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Affiliation(s)
- Chunxiao Yu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Gang Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
| | - Ming Cai
- Yunnan Academy of Grassland and Animal Science, Kunming 650212, China
| | - Yuan Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Lijia Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Yan Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Huilong Lin
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
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6
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Zhang Z, Zhang L, Cui J. A study of the impact of risk perception on the pro-environmental behaviour of herders in the Sanjiangyuan region. Sci Rep 2024; 14:6788. [PMID: 38514745 PMCID: PMC10957992 DOI: 10.1038/s41598-024-57336-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 03/18/2024] [Indexed: 03/23/2024] Open
Abstract
This study aims to study the pro-environmental behaviour of herders in the Sanjiangyuan region, a significant ecological security barrier. This paper selected 212 herding households in the Sanjiangyuan area as research subjects by random sampling method. By establishing a multivariate ordered logistics model to study the impact of risk perception on herding households' pro-environmental behaviour and introducing capital endowment as a moderating variable to analyse the moderating effect of capital endowment on the relationship of herding households' risk perception-pro-environmental behaviour. The study results show that herders's risk perception significantly affects their pro-environmental behaviour, in which environmental risk perception, economic risk perception and disease risk perception positively affect their pro-environmental behaviour. Capital endowment has a moderating role in the relationship between risk perception and the pro-environmental behaviour of herding households. Accordingly, this paper proposes to strengthen publicity and education, encourage herders to join cooperatives, and improve the ability of risk perception and other countermeasures.
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Affiliation(s)
- Zongli Zhang
- College of Finance and Economics, Qinghai University, Xining, China
| | - Lingshu Zhang
- College of Finance and Economics, Qinghai University, Xining, China
| | - Jina Cui
- College of Finance and Economics, Qinghai University, Xining, China.
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Xiong C, Zhao X. Impacts of chemical fertilizer reduction on grain yield: A case study of China. PLoS One 2024; 19:e0298600. [PMID: 38452115 PMCID: PMC10919646 DOI: 10.1371/journal.pone.0298600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 01/27/2024] [Indexed: 03/09/2024] Open
Abstract
Reducing fertilizer usage is a crucial measure for achieving high-quality development in Chinese agriculture. Utilizing panel data from 31 Chinese provinces spanning from 2004 to 2019, this study empirically analyzes the dynamic relationship between fertilizer application and grain production, exploring the underlying mechanisms. The study findings reveal that the application of fertilizers maintains a positive impact on grain production. The two variables will demonstrate a dynamic alternation between "strong decoupling" and "retreat decoupling," suggesting that grain production may either increase or gradually decline, while fertilizer application exhibits a decreasing trend. Mechanism analysis reveals a distinct substitution relationship between fertilizer use efficiency and application quantity. Increasing fertilizer use efficiency while reducing application quantity still facilitates the stable and increased production of grains. Heterogeneity analysis indicates that the efficiency of fertilizer use has a more pronounced impact on grain yield in the eastern and western regions. Increasing fertilizer quantity is detrimental to wheat yield but has a promoting effect on corn yield. However, in the main grain-producing areas, increasing fertilizer quantity can enhance wheat yield but is unfavorable for the overall grain yield. Additionally, nitrogen fertilizer input has exceeded the optimal level compared to potassium fertilizer. Continuously increasing nitrogen fertilizer input will hinder the increase in grain yield. Therefore, there is a need to shift from the notion of "more fertilizer is better" and focus on improving fertilizer use efficiency to transition from the emphasis on "quantity" to "quality" of fertilizer application.
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Affiliation(s)
- Changjiang Xiong
- Institute of Finance and Economics, Shanghai University of Finance and Economics, Yangpu District, Shanghai, P. R. China
| | - Xianghao Zhao
- College of Economics, Xinjiang University of Finance and Economics, Urumqi, P. R. China
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8
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Shen Y, Shi R, Yao L, Zhao M. Perceived Value, Government Regulations, and Farmers' Agricultural Green Production Technology Adoption: Evidence from China's Yellow River Basin. ENVIRONMENTAL MANAGEMENT 2024; 73:509-531. [PMID: 37864017 DOI: 10.1007/s00267-023-01893-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/30/2023] [Indexed: 10/22/2023]
Abstract
Farmers' agricultural green production technology (AGPT) adoption behavior has attracted extensive attention, while few studies explored the interactive effect of perceived value and government regulations in this process. Therefore, we analyze the interaction effect between perceived value and different government regulations on farmers' AGPT adoption by the Poisson regression model, using micro-survey data from 1491 households in China's Yellow River basin. Furthermore, we examine the heterogeneous effect of perceived value and government regulations on farmers' AGPT adoption behavior considering the change in production scale and farmers' age. The results suggest that perceived value can substitute for incentive government regulation and guiding government regulation, respectively. While binding government regulation can inhibit the promotion effect of perceived value on farmers' AGPT adoption. In addition, the larger the production scale, the more influential the effects of perceived value and government regulations on farmers' AGPT adoption are. In contrast, with the increase in farmer's age, the promotion effect of perceived value becomes weak while the effect of government regulations experiences a U-shaped trend. Finally, the conclusions and policy implications are set forth.
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Affiliation(s)
- Yujie Shen
- College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Rui Shi
- College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Liuyang Yao
- College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Minjuan Zhao
- College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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9
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Iversen SV, Dalgaard T, Graversgaard M. Discordance between farmers and scientists - Perspectives on nitrogen reduction measures in Denmark. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 352:119877. [PMID: 38194874 DOI: 10.1016/j.jenvman.2023.119877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/15/2023] [Accepted: 12/16/2023] [Indexed: 01/11/2024]
Abstract
Mitigating nitrogen leaching from agricultural land is imperative for enhancing the ecological status of aquatic ecosystems. Incorporating the knowledge and perceptions of farmers regarding the feasibility and effectiveness of implementing nitrogen reduction measures is vital for increasing the adoption rate of such measures and related policies. Concurrently, the insights and perspectives of scientists advising policymakers on the implementation of these measures can facilitate a more comprehensive understanding of the barriers and potential for implementation. In this study, we employ Q methodology to elucidate the opinions of 11 farmers and 14 key scientists involved in providing contractual science policy advice to Danish ministries on nitrogen reduction measures. Results show that across the perspectives of farmers and scientists, four main factors (viewpoints) can be identified: 'Evidence-driven viewpoints', 'On-farm efficiency-driven viewpoints', 'Hydrological and landscape-scale viewpoints', 'Innovation-based viewpoints. From this, we suggest that within the field of nitrogen mitigation and implementation, there is a general broad division and opposing perspectives between scientists and farmers. The evidence presented here shows that scientists' viewpoints do not correspond to the viewpoints of farmers in most cases. Scientists broadly believe that landscape and long-term measures, especially wetlands, are most effective nitrogen measures, according to scientific evidence. This clashes severely with some farmer participants, who strongly believe that there should be more personal freedom and flexibility to make individual farm level management choices. This is a significant barrier to the uptake of the best possible measures.
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Affiliation(s)
- Sara V Iversen
- Department of Agroecology, Aarhus University, Blichers Allé, 8830, Tjele, Denmark.
| | - Tommy Dalgaard
- Department of Agroecology, Aarhus University, Blichers Allé, 8830, Tjele, Denmark.
| | - Morten Graversgaard
- Department of Agroecology, Aarhus University, Blichers Allé, 8830, Tjele, Denmark.
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Xie Y, Chen Z, Khan A, Ke S. Organizational support, market access, and farmers' adoption of agricultural green production technology: evidence from the main kiwifruit production areas in Shaanxi Province. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:12144-12160. [PMID: 38225490 DOI: 10.1007/s11356-024-31981-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 01/08/2024] [Indexed: 01/17/2024]
Abstract
Industrial organizations play a crucial role in transforming the production and management practices of smallholder farmers, encouraging the adoption of environmentally friendly production methods. However, limited studies have conducted comprehensive research examining how these industrial organizations effectively encourage farmers to adopt green production technologies. To address this research gap, this study examines the influence of organizational support on the adoption of agricultural green production technologies among 645 kiwifruit farmers in Shaanxi Province, northwestern China, using cross-sectional survey data from 2022. In addition, this research explores the mechanisms and heterogeneity in this impact. In our analysis, we estimated Probit models and mediation effect models, which show a positive influence of organizational support on farmers' adoption of these technologies. Notably, both institutional support and tool support have a more pronounced positive effect on this adoption. The mechanism analysis shows that organizational support facilitates farmers' adoption of these agricultural green production technologies by expanding their access to high-value markets. Furthermore, when considering heterogeneity among farmers, the study finds that organizational support has the most significant impact on the adoption of these technologies among farmers operating at a moderate scale. Moreover, our research highlights a technology linkage effect in the adoption process. Specifically, organizational support has a positive and significant effect on the adoption of technologies like bagging, physical control, and soil testing formulas, while also having a positive but statistically insignificant impact on technologies such as pollution-free pesticides and organic fertilizer substitution. In conclusion, the study proposes to increase assistance to industrial organizations, to play an influential role in guiding and driving farmers.
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Affiliation(s)
- Yanqi Xie
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, 100872, China
| | - Zhe Chen
- College of Economics Management, China Agricultural University, Beijing, 100083, China
| | - Aftab Khan
- Institute of Blue and Green Development, Shandong University, Weihai, 264209, China
- Institute for Interdisciplinary Research, Shandong University, Weihai, 264209, China
| | - Shuifa Ke
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, 100872, China.
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Liu M, Liu H. Farmers' adoption of agriculture green production technologies: perceived value or policy-driven? Heliyon 2024; 10:e23925. [PMID: 38226239 PMCID: PMC10788497 DOI: 10.1016/j.heliyon.2023.e23925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 01/17/2024] Open
Abstract
Understanding the underlying reasons for farmers' AGPT adoption in the context of resource environment tightening and agricultural carbon reduction has become crucial to promote agriculture sustainable development. This paper uses multiple ordered regression model and probit model to test the impact of farmers' perceived value on their adoption of agricultural green production technologies (AGPT) by using the first-hand data from 613 rice farmers in Hunan, and explores the effect and mechanism of policy subsidies and market incentives on the adoption of AGPT, and investigates the differences in the impact of perceived value on the adoption of green technologies in different production stages. The results showed that, (1)farmers' AGPT adoption is significantly affected by their perceived value, in which perceived benefits significantly promotes farmers' AGPT adoption, while the perceived risks is the opposite. But farmers' AGPT adoption in different production stages is influenced by different perceived value. The adoption of soil testing and fertilization technology (STFT) in the pre-production stage is significantly influenced by the perceived benefits; adoption of green pest control technology (GPCT) in the mid-production stage is significantly influenced by both the perceived benefits and the perceived risks; and adoption of straw return technology (SRT) in the post-production stage is significantly influenced by the perceived risks. (2) Farmers' adoption of green technologies can be encouraged by policy subsidies, which also have the moderating effect of decreasing the negative influence of perceived risks on farmers' adoption behaviour. (3) Further analysis reveals that market incentives can compensate for the limitations of policy subsidies, greatly promote farmers' adoption of AGPT, and regulate farmers' perceived risks and perceived benefits to encourage them to use green technologies. Consequently, the Government should actively publicize and organize training on agriculture green technologies, and provide diversified subsidy programmes for different green technologies. And governments should also improve the quality certification system and the market price mechanism for agricultural products, so as to help farmers adopting green technologies to achieve an increase in their income.
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Affiliation(s)
- Muziyun Liu
- School of Economics, Hunan Agricultural University, Changsha, China
| | - Hui Liu
- School of Economics, Hunan Agricultural University, Changsha, China
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12
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Wang F, Cang Y, Chen S, Ke Y. Aging, land fragmentation, and banana farmers' adoption of biopesticides in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:84742-84757. [PMID: 37369906 DOI: 10.1007/s11356-023-28358-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023]
Abstract
Encouraging farmers to adopt biopesticides is a crucial strategy for protecting the ecological environment and achieving sustainable agricultural development. This study utilizes data from a micro-survey of 454 banana farmers from Hainan Province of China and employs a logit model to analyze the effects of aging, land fragmentation, and their interactions on farmers' adoption of biopesticides, as well as the heterogeneity of farmers in different household life cycles. The findings reveal that aging and land fragmentation both hinder biopesticide adoption, with farmers experiencing higher levels of aging and more fragmented land holdings being less likely to utilize biopesticides in banana production. Mechanism analysis uncovers an interaction effect between aging and land fragmentation that hampers biopesticide adoption. Furthermore, the effects of aging, land fragmentation, and their interaction on biopesticide adoption behavior vary across farmers in different family life cycles. Specifically, aging negatively affects biopesticide adoption behavior for farmers in support households, while land fragmentation negatively influences farmers in dependency and burden households. The interaction between aging and land fragmentation adversely affects farmers in burden households. Our findings highlight the importance of aging agricultural labor and land fragmentation to promote green agriculture in China and call for more relevant policies to encourage farmers with different household life cycles to adopt biopesticides in farming practices.
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Affiliation(s)
- Fang Wang
- School of Management, Hainan University, Haikou, 570228, Hainan Province, China
| | - Yue Cang
- School of Management, Hainan University, Haikou, 570228, Hainan Province, China.
| | - Shanshan Chen
- School of Management, Hainan University, Haikou, 570228, Hainan Province, China
| | - Youpeng Ke
- School of Management, Hainan University, Haikou, 570228, Hainan Province, China
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13
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Gao R, Liu G, Fan Y, Wang X, Ren Z. The effect of perceived value on farmers' livestock manure resource utilization behavior: Evidence from Shandong, China. Front Psychol 2023; 14:1098587. [PMID: 36844289 PMCID: PMC9947653 DOI: 10.3389/fpsyg.2023.1098587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/06/2023] [Indexed: 02/11/2023] Open
Abstract
Introduction The rapid development of animal husbandry has brought many problems such as ecological environmental pollution and public health damage. The resource utilization of livestock manure is the key way to deal with the above crisis and turn waste into treasure. Methods Based on the theory of perceived value, this paper uses multi-group structural equation model to explore the driving mechanism of perceived value on the resource utilization behavior of livestock manure. Results and discussion The results showed that: (1) The resource utilization behavior of livestock manure followed the logic of "cognitive level → cognitive trade-off → perceived value → behavioral intention → behavioral performance." Perceived benefit and perceived risk have positive and reverse driving effects on perceived value, respectively. Perceived value has a positive driving effect on behavioral intention. The behavioral intention has a positive driving effect on utilization behavior. (2) Among the observed variables of perceived benefits, ecological benefits have the greatest impact; Among the observed variables of perceived risk, economic risk has the greatest impact. Among the observed variables of perceived value, Significance cognition has the greatest influence. Among the observed variables of behavioral intention, utilization intention has the greatest influence. (3) The perceived value has a differential effect on the utilization behavior of livestock manure resources of different part-time farmers, and the driving effect is more obvious for full-time farmers. Conclusions Therefore, it is necessary to improve the resource utilization system of livestock manure, increase the channel for realizing the output of manure resources, strengthen technical assistance and policy subsidies, and implement policies according to local conditions to improve the overall perceived value of farmers.
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Affiliation(s)
- Runze Gao
- Business School, Shandong Normal University, Jinan, China
| | - Guoliang Liu
- Business School, Shandong Normal University, Jinan, China
| | - Yuze Fan
- Business School, Shandong Normal University, Jinan, China
| | - Xueyang Wang
- Business School, Shandong Normal University, Jinan, China
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Li J, Lin Q. Threshold effects of green technology application on sustainable grain production: Evidence from China. FRONTIERS IN PLANT SCIENCE 2023; 14:1107970. [PMID: 36798700 PMCID: PMC9927014 DOI: 10.3389/fpls.2023.1107970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 01/03/2023] [Indexed: 06/18/2023]
Abstract
Sustainable production is considered as an important approach to solve the dilemma of food insecurity. Green technologies have made contributions to improving food production and reducing environmental pollution. Studying the effects of green technologies on sustainable food production has great significance. The paper started with the influence mechanism of green technology application on the green total factor productivity of grain (GTFPG). With the GTFPG, green technology efficiency change of grain (GECG) and green technical progress change of grain (GTCG) measured, threshold models were constructed to explore the nonlinear impacts of various green technologies on GTFPG and the influence paths. Results indicated that the differences of GTFPG among provinces in China were decreased mainly due to the changes of GTCG, while the regional differences of GECG remained small. The impacts of green technologies had threshold effects that depended on the ecological effects of green technologies in different application stages, and were significantly different in the major and non-major grain producing areas. Meanwhile, significant differences existed in the influence paths of green technologies. In the major grain producing areas, green technologies were more likely to improve GTFPG through the GTCG path; while in the non-major grain producing areas, the GECG path and the GTCG path were both important to improve GTFPG. The differences of green technologies' threshold effects and influence paths in the major and non-major grain producing areas were caused by regional technology preference, resource endowment and technology compatibility. This study emphasizes that the development of green technologies should fully consider the resource endowment and economic development of different regions, as well as the applicability and adoption rate of green technologies.
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Affiliation(s)
- Jingdong Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, China
| | - Qingning Lin
- Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China
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Chen X, Liu T. Can Agricultural Socialized Services Promote the Reduction in Chemical Fertilizer? Analysis Based on the Moderating Effect of Farm Size. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2323. [PMID: 36767688 PMCID: PMC9916101 DOI: 10.3390/ijerph20032323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/14/2023] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
On the basis of the data of 855 farmer households in the 2020 China Land Economic Survey, this paper uses an extended regression model to empirically study the impact of agricultural socialized services on the reduction in chemical fertilizer and the moderating effect of farm size in the above impact path. The results show that adoption of agricultural socialized services by farmers can significantly promote reduction in chemical fertilizer. The moderating effect test shows that the farm size is instrumental in strengthening the effect of promoting agricultural socialized services on the reduction in chemical fertilizer. The effect of technology-intensive services on fertilizer reduction was more pronounced than that of labor-intensive services. Agricultural socialized services have a greater effect on the reduction in chemical fertilizer for farmers with a higher degree of part-time employment, but farm size can significantly enhance the fertilizer reduction effect generated by the adoption of agricultural socialized services by farmers with a lower degree of part-time employment. Therefore, we recommend further developing agricultural socialized services, strengthening the supply of agricultural green production services, and playing the role of agricultural socialized services in chemical fertilizer reduction. We also posit that encouraging large-scale farmers to adopt agricultural socialized services would further promote fertilizer reduction.
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Ren Z. Effects of risk perception and agricultural socialized services on farmers' organic fertilizer application behavior: Evidence from Shandong Province, China. Front Public Health 2023; 11:1056678. [PMID: 36755904 PMCID: PMC9899864 DOI: 10.3389/fpubh.2023.1056678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/06/2023] [Indexed: 01/24/2023] Open
Abstract
Introduction The application of organic fertilizer is an important measure to control agricultural non-point source pollution, improve the quality of cultivated land and enhance the degree of agricultural green development. Methods Based on the survey data of sample farmers in Shandong Province, China, the binary Probit model is used to analyze the influence of risk perception and agricultural socialized services and their interaction on farmers' organic fertilizer application behavior, and further analyze the difference of influence between groups of risk perception and agricultural socialized services on farmers' organic fertilizer application behavior with different characteristics. Results and discussion We found that risk perception has a significant negative impact on farmers' organic fertilizer application behavior. Farmers with stronger technical risk perception and market risk perception are less likely to apply organic fertilizer. Agricultural socialized services have a significant positive impact on farmers' organic fertilizer application behavior, and can effectively alleviate the inhibitory effect of risk perception on farmers' organic fertilizer application behavior. The roles of risk perception and agricultural socialized services vary greatly among different farmer groups. For older generation, large-scale and pure agricultural farmers, agricultural socialized services can more effectively alleviate the inhibitory effect of risk perception on organic fertilizer application behavior.
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Does an Information System Security Notice Format Influence Users’ Compliance Willingness from the Perspective of the Framing Effect? INFORMATION 2023. [DOI: 10.3390/info14010039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Information security issues have triggered both academic and practical circles to think about operation management and the sustainable development of information systems. Based on the theory of framing effect, this study constructs a theoretical model of the presentation framework of security notice information on users’ compliance willingness and empirically tests the proposed research hypotheses using a combination of behavioral experiments and questionnaires to analyze the mechanism of the information presentation framework on compliance willingness. The results show that (1) the information presentation framework has a significant effect on users’ decision to comply, but it varies according to specific frameworks. While the attribute and risk frameworks have a significant effect on users’ decision to comply, the goal framework does not have a significant effect on users’ decision to comply. (2) The security notice situation moderates the relationship between the security notice information presentation frame and users’ compliance willingness, but this varies according to the specific situation of the specific framework. The security notice situation moderates the relationship between the attribute framework, the risk framework, and users’ compliance willingness but not the relationship between the goal framework and users’ compliance willingness. (3) Information security cognition has a moderating effect on the relationship between the security notice presentation framework and users’ compliance willingness, but it varies by the specific frameworks. Information security cognition moderates the relationship between attribute frames, risk frames, and users’ compliance willingness but not the relationship between goal frames and users’ compliance willingness.
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He Z, Jia Y, Ji Y. Analysis of Influencing Factors and Mechanism of Farmers' Green Production Behaviors in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:961. [PMID: 36673714 PMCID: PMC9859079 DOI: 10.3390/ijerph20020961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/21/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
The green production behavior of pig farmers is the basis for high-quality development in animal husbandry. In order to solve the problem of poor green production behaviors in small- and medium-sized pig farmers, it is necessary to analyze the influencing factors and how they interact with each other. The Rational Peasant Theory and Prospect Theory were used in this paper to analyze the occurrence motivation of the green production behaviors of small- and medium-sized pig farmers. The Logit model and the ISM analysis method were used to test the influencing factors and their mechanisms. This was conducted using data from a study of 747 small- and medium-sized pig farmers in Henan Province. The results show that the green production behaviors of small- and medium-sized pig farmers are motivated by internal expected return, affected by the monitoring pressure from external stakeholders and limited by their own resource capacity; the influencing factors of different green production behaviors are different, and there are more influencing factors of scientific disease control, standardized management and waste recycling than of rational feeding. The following shows how the influencing factors on pig farmers' green production behavior interact with one another: level of education → external pressure, farming conditions and operating characteristics → cognition of return → green production behavior (i.e., cognition of return is the direct factor; external pressure, farming conditions and operating characteristics are indirect factors; and level of education is the underlying factor). Some measures should be implemented to promote green production behaviors, such as the continuation of the support for green production, the strengthening of supervision and publicity, the increasing of investment in technology and equipment, and the improving of the green production literacy of farmers. In conclusion, this paper deepens the understanding of the mechanism of green production behaviors of small- and medium-sized pig farmers, and provides the theoretical basis and concrete measures for the government and for pig farmers.
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Affiliation(s)
- Zejun He
- College of Economic and Management, Henan Agricultural University, Zhengzhou 450002, China
| | - Yunfei Jia
- College of Economic and Management, Henan Agricultural University, Zhengzhou 450002, China
| | - Yifan Ji
- Management School, Hainan University, Haikou 570228, China
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Luo L, Qiao D, Wang L, Qiu L, Liu Y, Fu X. Farmers' cognition of the COVID-19 outbreak, risk perception and willingness of green production. JOURNAL OF CLEANER PRODUCTION 2022; 380:135068. [PMID: 36377229 PMCID: PMC9637231 DOI: 10.1016/j.jclepro.2022.135068] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/29/2022] [Accepted: 11/02/2022] [Indexed: 05/21/2023]
Abstract
Existing literature reports that COVID-19 outbreak may affect people's risk perceptions, with disturbances ranging from mild negative emotional reactions to overall mental health. At the same time, the pneumonia pandemic reveals all the vulnerabilities and weaknesses of our ecosystem and makes people reflect on traditional ecologically harmful production practices. Therefore, the aim of this paper is to review the existing scientific literature on these variables, through a survey and empirical analysis, in order to present and comment on the effects and mechanisms of influence between them. The results showed that: (1) Increasing farmers'cognition of COVID-19 outbreak could significantly enhance the green production willingness. Specifically, the probability of "Very willing"to participate in green production increased by 29.9% for each unit of increase in cognition. (2) Farmers'cognition of COVID-19 outbreak can significantly enhance the level of risk perception and thus enhance their green production willingness, that is, risk perception is an important transmission medium of this effect. (3)The analysis of inter-generational difference showed that the impact of cognition of COVID-19 outbreak on green production willingness was significant for both the new generation and the old generation. On the basis of this, some policy suggestions are put forward, such as strengthening the propaganda and education of natural ecological environment protection, establishing the propaganda mechanism of green agricultural products market in the later period of epidemic situation, raising farmers'risk perception level through multi-channels and so on.
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Affiliation(s)
- Lei Luo
- School of Management, Sichuan Agricultural University, China
| | - Dakuan Qiao
- School of Management, Sichuan Agricultural University, China
| | - Lishuang Wang
- School of Management, Sichuan Agricultural University, China
| | - Ling Qiu
- School of Management, Sichuan Agricultural University, China
| | - Yuying Liu
- School of Management, Sichuan Agricultural University, China
- Sichuan Rural Development Research Center, Chengdu, China
| | - Xinhong Fu
- School of Management, Sichuan Agricultural University, China
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Huang Y, Liu H, Guo X, Jiao W. The Perception of the National Traceability Platform among Small-Scale Tea Farmers in Typical Agricultural Areas in Central China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16280. [PMID: 36498350 PMCID: PMC9738394 DOI: 10.3390/ijerph192316280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
As one of the key technologies to ensure the safety of agricultural products, the national traceability platform is being widely promoted in China. However, it has not yet been widely adopted among farmers, especially small-scale farmers. Farmers are both producers and direct participants in the traceability of agricultural products. Their perception directly affects the effectiveness of the promotion of the national traceability platform. This study explores the perception of the national traceability platform among small-scale tea farmers in typical agricultural areas in central China. This research employed Q methodology, an approach that integrates both qualitative and quantitative data allowing individuals' subjective understandings of a specific topic to be studied. The Q-sort procedure was performed in the field with 16 small-scale tea farmers. Next, Q-factor analyses were conducted using the Ken-Q analysis. The results show that small-scale tea farmers have different perceptions of the national traceability platform. Their main characteristics are active participation, resistant participation, risk aversion, and being driven by pressure. These four categories covered 52% of the perceived variance. Meanwhile, there is also a degree of internal consistency in the perception of small-scale tea farmers. Specifically, they are all concerned that participating in the national traceability platform may increase the cost and risk of cultivation and that it is difficult to obtain support from agricultural technicians. Therefore, understanding the perceptions of tea farmers of the national traceability platform is the premise for formulating effective promotion policies. Our research sheds light on the decision-making mechanisms for small-scale tea farmers to participate in national traceability platforms, further expanding the scope of current research on farmer behavior. This research has reference significance for promoting national traceability platforms in China and other countries around the world.
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Affiliation(s)
- Yatao Huang
- College of Economics and Management, South China Agricultural University, Guangzhou 510642, China
| | - Hua Liu
- College of Economics and Management, South China Agricultural University, Guangzhou 510642, China
| | - Xuanxuan Guo
- College of Geography and Environmental Science, Henan University, Kaifeng 475001, China
| | - Wenxian Jiao
- College of Geography and Environmental Science, Henan University, Kaifeng 475001, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng 475001, China
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Si R, Yao Y, Liu X, Lu Q, Liu M. Role of risk perception and government regulation in reducing over-utilization of veterinary antibiotics: Evidence from hog farmers of China. One Health 2022; 15:100448. [DOI: 10.1016/j.onehlt.2022.100448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022] Open
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Chen Q, Liu H, Mao P, Qian J, Tan Y, Xiahou X, Cui P. How Does NIMBYism Influence Residents' Behavioral Willingness to Dispose of Waste in Centralized Collection Points?-An Empirical Study of Nanjing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15806. [PMID: 36497887 PMCID: PMC9738389 DOI: 10.3390/ijerph192315806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/14/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Residents' low behavioral willingness to dispose of waste in Centralized Collection Points (CCPs) seriously hinders the operational efficiency in waste collection of CCPs regarded as NIMBY ('not in my backyard') facilities. However, fewer researchers notice NIMBY facilities with low hazards. It has been ignored that the NIMBYism may influence behavioral willingness during the operation period persistently. Meanwhile, there is no consistent conclusions on internal factors of waste behavioral willingness, which deserves further study. Therefore, this study took CCPs as a research object and aimed to investigate how NIMBYism influences residents' behavioral willingness to dispose of waste in CCPs. The extended theory of planned behavior and structural equation modeling approach involving 550 respondents were adopted to conduct the analysis. The results revealed that attitude (β = 0.295, p < 0.001), government trust (β = 0.479, p < 0.001), and perceived behavioral control (β = 0.222, p < 0.001) have statistical positive impacts on behavioral willingness to dispose of waste in CCPs. Perceived risk (β = ‒0.047, p = 0.022 < 0.05) can influence behavioral willingness negatively. Additionally, government trust (β = 0.726, p < 0.001) exerts a positive impact on attitude. Furthermore, relevant strategies were proposed to enhance residents' behavioral willingness to dispose of waste in CCPs. This study is expected to inspire the government to formulate policies from the aspects of standards and regulations, resident participation, construction, and publicity. It will provide the government instructive suggestions for the smooth operation of CCPs, and ultimately building a healthy and environment friendly society.
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Affiliation(s)
- Qiwen Chen
- Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Hui Liu
- Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Peng Mao
- Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Junjie Qian
- Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Yongtao Tan
- School of Engineering, RMIT University, Melbourne, VIC 3001, Australia
| | - Xiaer Xiahou
- School of Civil Engineering, Southeast University, Nanjing 211189, China
| | - Peng Cui
- Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
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Ren Z, Jiang H. Risk cognition, agricultural cooperatives training, and farmers' pesticide overuse: Evidence from Shandong Province, China. Front Public Health 2022; 10:1032862. [PMID: 36478731 PMCID: PMC9720126 DOI: 10.3389/fpubh.2022.1032862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/07/2022] [Indexed: 11/22/2022] Open
Abstract
Introduction Pesticides are widely and excessively used in the world. Reducing pesticide overuse is an important measure to protect the environment and human health. Methods Based on the survey data of 518 farmers in Shandong Province, China, using the Logit model to empirically test the effect of risk cognition on farmers' pesticide overuse behavior and the moderating effect of cooperatives training on the effect of risk cognition on farmers' pesticide overuse behavior. Results and discussion We found that 21.24% of farmers overused pesticides. The three dimensions of risk cognition have significant negative effects on farmers' behavior of excessive pesticide use, among which the human health risk cognition has the largest impact (0.74), followed by food safety risk cognition (0.68) and ecological environment risk cognition (0.63). Cooperatives training has a positive moderating effect on the relationship between risk cognition and pesticide overuse behavior, that is, when risk cognition matches farmers participating in cooperatives training, the effect on reducing pesticide overuse is more significant. Years of education, planting scale and detection frequency of pesticide residues have significant effects on farmers' pesticide overuse. Conclusions The government should help farmers reduce pesticide overuse by improving risk cognition, developing agricultural cooperatives and perfecting guarantee conditions.
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Affiliation(s)
- Zhong Ren
- Business School, Shandong Normal University, Jinan, China
| | - Haonan Jiang
- Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom,*Correspondence: Haonan Jiang
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Li L, Sarkar A, Zhou X, Ding X, Li H. Influence and Action Mechanisms of Governmental Relations Embeddedness for Fostering Green Production Demonstration Household: Evidence from Shaanxi, Sichuan, and Anhui Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11923. [PMID: 36231224 PMCID: PMC9564771 DOI: 10.3390/ijerph191911923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
As an innovative tactic, the core aspects of green products should be comprehensively demonstrated and firmly promoted to enhance their adoption. For doing so, continuous governmental support and interventions through distinct sets of networking and relationships could be crucial for synthesizing and diffusing the extent of green production demonstration households. Interestingly, the structural relationship between these two has not yet been evaluated comprehensively by the existing literature. Therefore, the study empirically analyzes the impact and mechanism of government relationships embedded in fostering green production demonstration households. The study compiles the empirical data from 963 farmers which were collected from the major tea-producing areas of Shaanxi, Sichuan, and Anhui provinces, China. In order to craft the findings, first we constructed the ordered Probit for benchmark regression analysis. Meanwhile, the Ordinary Standard Error Ordered Probit model, Ordered Logit model, and multivariate linear model were constructed for the robustness test. Third, the Extended Ordered Probit model and Bootstrap mediation effect model were used to test the path diagram. Finally, robustness testing and endogeneity processing test were used to explore the reliability of the findings. The results showed that: (i) Government relationship embedding has a positive effect on fostering green production demonstration households. In particular, factors such as relationships with general government staff, professional and technical personnel, and village cadre are most significant. (ii) Seemingly, the heterogeneity analysis shows that the farmers with large operating scales and low family economic status have a relatively stronger impact. (iii) Further mechanism research results show that government relations are embedded through government identification (policy identification, government trust), improving farmers' behavioral ability (production knowledge reserve, self-efficacy), and strengthening farmers' perceived value of green production (self-interest perception, altruistic values). Therefore, the government should strengthen the interactive mechanism embedded with farm households and extend support for green production demonstration zones. The farmers' information-sharing facilities and platforms should be modernized and highlighted according to the local conditions and long-term targeted strategies.
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Affiliation(s)
- Lipeng Li
- School of Economics and Management, Ningxia University, Yinchuan 750021, China
| | - Apurbo Sarkar
- School of Economics and Management, Northwest A&F University, Yangling, Xianyang 712100, China
| | - Xi Zhou
- School of Food Science and Agriculture, The University of Queensland, St. Lucia, QLD 4072, Australia
| | - Xiuling Ding
- School of Economics and Management, Northwest A&F University, Yangling, Xianyang 712100, China
| | - Hua Li
- School of Economics and Management, Northwest A&F University, Yangling, Xianyang 712100, China
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Nong Y, Zhao M, Chien H. Path relationship of consumers' perceived susceptibility and severity of health problems with their purchase of buckwheat functional foods in China. Heliyon 2022; 8:e10671. [PMID: 36185141 PMCID: PMC9520211 DOI: 10.1016/j.heliyon.2022.e10671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/04/2022] [Accepted: 09/12/2022] [Indexed: 10/27/2022] Open
Abstract
Although the nutritional and health benefits of buckwheat foods have been widely discussed and evaluated, studies on consumer perceptions of the health benefits of buckwheat functional foods and how these perceived benefits influence their consumption are scarce. On the basis of the theory of planned behavior, this study aimed to explore consumers' purchase intention and behavior toward buckwheat functional foods while assessing the impact of their perceived susceptibility and severity of health concerns on the purchase decisions for such foods. Using data from 1077 participants collected in person from Southwest China, we compared the influencing factors between consumer groups based on whether they were aware of the nutritive and health benefits of buckwheat. The results indicated that, apart from consumers' perceived behavioral control, their perceived susceptibility and perceived severity of three selected common health problems, perceived value and efficacy of buckwheat, and subjective norms were strong predictors of consumers' purchase decisions. Moreover, perceived susceptibility and severity were effective antecedents of the perceived value and efficacy of buckwheat, respectively. Consumers aware of buckwheat's nutritive and health benefits of buckwheat were less affected by perceived efficacy. This study highlights that the higher the susceptibility to the three selected common health problems, the greater the internal and behavioral changes toward the purchase of buckwheat functional foods. These findings reveal factors affecting consumers' healthy eating beliefs, which can be beneficial for both policymakers and marketers in formulating healthy diet policies and strategies in developing countries.
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Affiliation(s)
- Yixin Nong
- Fudan Postdoctoral Fellowships in Applied Economic Studies, Fudan University, Shanghai, 200433, China.,Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, 113-8657, Japan.,Guangxi Beibu Gulf Bank Postdoctoral Innovation and Practice Base, Nanning, Guangxi, 530028, China
| | - Minjuan Zhao
- Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China
| | - Hsiaoping Chien
- Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, 113-8657, Japan.,Japan International Research Center for Agricultural Sciences, Tsukuba, 305-8686, Japan
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Ren Z, Zhong K. Driving mechanism of subjective cognition on farmers’ adoption behavior of straw returning technology: Evidence from rice and wheat producing provinces in China. Front Psychol 2022; 13:922889. [PMID: 35983208 PMCID: PMC9379131 DOI: 10.3389/fpsyg.2022.922889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/12/2022] [Indexed: 11/26/2022] Open
Abstract
Straw burning is one of the important causes of environmental pollution in rural China. As an important green production technology, straw returning is beneficial to the improvement of rural environment and the sustainable development of agriculture. Based on the improved planned behavior theory, taking the survey data of 788 farmers in Shandong, Henan, Hubei, and Hunan provinces as samples, this paper uses a multi-group structural equation model to explore the driving mechanism of subjective cognition on the adoption behavior of farmers’ straw returning technology. The results show that behavioral attitude, subjective norm, and perceived behavioral control, which represent subjective cognition, all have significant driving effects on farmers’ intention to adopt straw returning technology. Behavioral intention plays a mediating role in the process of subjective cognition driving farmers’ adoption behavior of straw returning technology. Government support has a moderating role in the path from farmers’ behavioral intention to behavioral response. The subjective cognition of different types of farmers has a significant driving effect on the adoption intention of straw returning technology, but the driving strength weakens with the increase of the degree of farmers’ concurrent occupation. This study provides guidance for improving the government’s straw returning policy and regulating straw returning behavior.
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Affiliation(s)
- Zhong Ren
- Business School, Shandong Normal University, Jinan, China
| | - Kaiyang Zhong
- School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu, China
- *Correspondence: Kaiyang Zhong,
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How Live Streaming Interactions and Their Visual Stimuli Affect Users’ Sustained Engagement Behaviour—A Comparative Experiment Using Live and Virtual Live Streaming. SUSTAINABILITY 2022. [DOI: 10.3390/su14148907] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
With the massive expansion in live streaming, enhancing the sustained engagement of users has become a key issue in ensuring its success. This study examines the relationship between real-time interaction, user perceptions, user intention to keep using live streaming, and whether this relationship differs between a live and a virtual live streaming environment. Using partial least squares (PLS) structural equation modelling (SEM), this paper analyses 240 valid questionnaire responses and finds that there is a link between real-time interactions, visual stimuli, and users’ sustained engagement. This shows that users’ active interactions while watching live streaming videos significantly affect their perceptions of social presence and trust, which in turn, affect their sustained engagement behaviour. These effects were found to vary with differences in the live streaming environment. The findings of this paper will play a positive role in understanding the differences between various live streaming environments, in optimizing the design of live streaming content and in improving the perceptions of emotional warmth by live streaming users.
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The Impact of Farmers’ Perception on Their Cultivated Land Quality Protection Behavior: A Case Study of Ningbo, China. SUSTAINABILITY 2022. [DOI: 10.3390/su14106357] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Farmers’ protection behavior largely depends on their perceived value of cultivated land quality protection. However, existing research shows that the impact path of these perceived factors on farmers’ cultivated land protection behavior is not clear. Based on the survey data of 288 farmers in Ningbo City, this study empirically analyzed the impact of farmers’ perception on their cultivated land quality protection behavior through structural equation modeling (SEM). The results showed that farmers’ cultivated land quality protection behavior largely depended on perceived value, and they followed the logic paradigm of “perceived tradeoff→perceived value→behavioral intention→behavioral response”. Among them, farmers’ perceived value comes from farmers’ comprehensive tradeoff of benefits and risks in the process of cultivated land quality protection. In other words, improving farmers’ perceived benefits and reducing perceived risks is conducive to improving farmers’ perceived value of cultivated land quality protection. The above findings are helpful to improve farmers’ behavior of farmland land quality protection and provide new ideas and empirical basis for the design and improvement of cultivated land quality protection policies.
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Labor Endowment, Cultivated Land Fragmentation, and Ecological Farming Adoption Strategies among Farmers in Jiangxi Province, China. LAND 2022. [DOI: 10.3390/land11050679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A deeper understanding of the factors that influence the ecological farming adoption strategies of farmers can help in developing effective adaptation measures to mitigate the degradation of cultivated land quality and ecological degradation. This study used a stratified random sampling technique to select 1488 households in Jiangxi Province, while the double-hurdle model was used to analyze the influence of labor endowments (LEs) and cultivated land fragmentation (CLF) on ecological farming decision-making. The results indicate that LEs and CLF play important roles in farmers’ decision-making with regard to ecological farming. To be more specific, the total household population and CLF have negative effects on adoption willingness, while the number of laborers has a positive effect. For the degree of adoption, the total household population has a negative effect, while the number of laborers and part-time employment have positive effects. In addition, farmers’ ecological farming behavior is also influenced by factors such as education, agricultural income, cooperatives, and agricultural subsidies. Overall, farmers have a high willingness to adopt ecological farming, but the degree of actual adoption is low. This is not conducive to the promotion of ecological farming techniques and the sustainable development of agriculture in China. The study proposes that the government should further improve financial investment and provide relevant technical services. In addition, a temporary work platform should be set up for farmers to encourage them to find other work during the agricultural low season.
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Gao Q, Cheng C, Sun G, Li J. The Impact of Digital Inclusive Finance on Agricultural Green Total Factor Productivity: Evidence From China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.905644] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
This manuscript applies the GML model with unexpected output to measure agricultural green total factor productivity (GTFP) in 30 provinces in China from 2011 to 2019. We explore the effect and mechanism of digital inclusive finance (DIF) on agricultural green total factor productivity. Our empirical results show that during the sample period, China’s agricultural green total factor productivity has shown an increasing trend. Digital inclusive finance mainly promotes agricultural GTFP by improving green technology level. The coverage rate, the application rate and the digitalization rate of digital inclusive finance all generate positive effects on agricultural green total factor productivity, among which the coverage rate contributes the most. Besides, the positive effect of digital inclusive finance in the eastern coastal areas is more significant than in other areas. The analysis of the mechanism shows that digital inclusive finance can indirectly help improve agricultural green total factor productivity through motivating agricultural technology innovation and industrial structure optimization. The research results of this manuscript are extremely meaningful for better implement DIF-related policies, and promote the green development of agriculture.
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Jansuwan P, Zander KK. Multifunctional farming as successful pathway for the next generation of Thai farmers. PLoS One 2022; 17:e0267351. [PMID: 35468156 PMCID: PMC9037938 DOI: 10.1371/journal.pone.0267351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/06/2022] [Indexed: 12/02/2022] Open
Abstract
Young farmers play a significant role in sustaining food security and the communities’ and rural areas’ viability. However, as with many countries, Thailand is facing a decline in the number of young farmers who, if not productive and satisfied with their farm business, are likely to exit farming to take advantage of their increased educational level and off-farm job opportunities. Data were collected by interviewing young farmers in the Prachin Buri province, Thailand, with the aim of assessing their reason for farming in the long-term and the type of farming. Farming decisions can be categorised into three types: full-time profit-oriented farming with a focus on rice production (~53%), full-time multifunctional farming in innovative mixed or organic production systems (~23%), and part-time farming where young farmers work off-farm and farm outside regular working hours (~24%). Using path analysis, we investigated which physical and psychological factors affect young farmers’ decisions to pursue these three farming types. The results show that non-monetary farming’s benefits are as important as monetary benefits. Education, farming and regular off-farm work experience, farm production, market and pest problems, and government support directly affect the farming types. These effects were also mediated by attitudes towards farming and net farming income. Young farmers choosing to pursue multifunctional farming have higher incomes, more often apply sophisticated technologies, and farm more sustainably than those choosing the other types of farming. This indicates that a shift from conventional rice production to more diversified production systems using innovative technologies is needed to sustain farming success and retain young people in the farming sector.
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Affiliation(s)
- Para Jansuwan
- Northern Institute, Charles Darwin University, Darwin, NT, Australia
- Centre for Project and Programme Evaluation, Office of Agricultural Economics, Bangkok, Thailand
- * E-mail:
| | - Kerstin K. Zander
- Northern Institute, Charles Darwin University, Darwin, NT, Australia
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Understanding Consumers' Food Waste Reduction Behavior-A Study Based on Extended Norm Activation Theory. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074187. [PMID: 35409870 PMCID: PMC8998826 DOI: 10.3390/ijerph19074187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 11/17/2022]
Abstract
Based on norm activation theory, a research framework was built to explore the food waste reduction behavior when consumers eat out. The framework included behavior intentions and four psychological factors: awareness of consequence (persons understanding that actions have consequences), ascription of responsibility (duty to respond), self-efficacy (belief in own skills and capacity), personal norm (individuals’ values to act by socially accepted rules and reduce food waste as a code of conduct and moral obligation). A total of 514 samples from different regions of China were collected through an online survey platform, and the research framework was tested by applying structural equation modeling (SEM). This study found that ascription of responsibility and self-efficacy can effectively activate personal norm to reduce food waste. Personal norm and self-efficacy had a significant positive effect on behavior intentions to reduce food waste. Specifically, self-efficacy had the greatest effect on personal norm, followed by ascription of responsibility, and on behavior intentions to reduce food waste, followed by personal norm. Interestingly, while ascription of responsibility and self-efficacy had an impact on personal norm, awareness of consequence did not significantly influence personal norm to reduce food waste, suggesting that emotional factors are more likely to trigger personal norms that motivate consumers to take action to reduce food waste than cognitive factors. Based on the findings, several suggestions are provided for more effective interventions by restaurants to promote food waste reduction behavior, such as information intervention strategies, displaying information related to food consumption, and reducing the size of plates for some meals.
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Environmental Regulation, Rural Residents' Health Investment, and Agricultural Eco-Efficiency: An Empirical Analysis Based on 31 Chinese Provinces. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19053125. [PMID: 35270816 PMCID: PMC8910385 DOI: 10.3390/ijerph19053125] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 11/17/2022]
Abstract
This paper explores the effects of environmental regulation (ER) and rural residents’ health investment (RRHI) on agricultural eco-efficiency (AEE) to provide a reference for the Chinese Government and other developing countries for implementing environmental regulation policies and to provide new paths to further improve green development in agriculture. Using the panel data of 31 Chinese provinces from 2009–2018, the Super-SBM model was used to measure AEE. The role of ER on AEE was analyzed based on panel two-way fixed effects with endogeneity treatment and a robustness test, and this mediating effect analysis was conducted to analyze the role of RRHI in ER and AEE, examining the extent of the effect of ER on AEE in three regions of China—eastern, central and western—using a heterogeneity analysis. The results of the study show that: (1) from a national perspective, ER has a significant positive impact on AEE, showing that ER is effective at this stage; (2) when RRHI is used as a mediating variable, the rising ER’s intensity can promote AEE by increasing RRHI; and (3) the results of the heterogeneity analysis show that ER has the greatest impact on AEE in the economically developed eastern region; the western region with a weaker level of economic development is in second place. However, ER has a negative impact on AEE in the central region with a medium level of economic development. Thus, the impact of ER on AEE will show great differences depending on the stage of economic development.
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34
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Spatiotemporal Heterogeneity of Agricultural Land Eco-Efficiency: A Case Study of 128 Cities in the Yangtze River Basin. WATER 2022. [DOI: 10.3390/w14030422] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Analysis of spatiotemporal heterogeneity and evolutionary characteristics of agricultural land eco-efficiency is of great significance for achieving a rational use of natural resources and coordinated development of the agricultural economy as well as the ecological environment. In this study, we construct the “ecological space–agricultural production–carbon emission” framework, incorporate carbon emission intensity as an undesired output into the evaluation index system of agricultural land eco-efficiency, calculate the eco-efficiency of agricultural land in 128 cities in the Yangtze River basin from 2009 to 2018 by adopting the super-efficiency SBM model, and discuss the spatial and temporal changes using methodology such as hotspot analysis and kernel density estimation by ArcGIS. The results show the following. The overall trend of agricultural land eco-efficiency in the Yangtze River basin is increasing year by year and still has potential for improvement. However, there are significant discrepancies among cities, with the eco-efficiency of the downstream being much higher than that of the midstream and upstream regions, and demonstrating the pattern of “big dispersion–small agglomeration”. Some cities are still facing pressure to improve the eco-efficiency of agricultural land. Correspondingly, this paper puts forward optimization recommendations: Firstly, the downstream cities should give full play to their geographical advantages, actively introduce advanced production technologies, and reasonably allocate agricultural resources. Secondly, the upstream and midstream regions should formulate reasonable regional strategies in accordance with their natural resource endowments to improve the ecological benefits of agricultural land and narrow the regional disparities. This paper gives targeted policy recommendations at the levels of paying attention to education of farmers, providing incentives for ecological planting, strengthening agricultural infrastructure construction, reasonably controlling the use of agricultural materials, and increasing investment in agricultural pollutant emission management.
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35
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Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12031202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across various regions, as well as over the entirety of the country from 2008 to 2018, is presented. It is based on the GIS exploratory spatial data analysis method (ESDA). Simultaneously, a spatial panel model is established to conduct an empirical analysis of the main factors affecting the CPC. The results from the period in question show that the CPC in China and the three major production regions present a fluctuating growth trend, mainly associated with the increase in labor prices. Moreover, the CPC exhibits significant spatial differences, and demonstrates an overall trend of gradual increase from the east to the west. Over time, the number of relatively high-cost provinces has increased. All are located in southern mountainous and hilly corn areas. In addition, the CPCs of various regions are spatially correlated. Factors such as the scale of land management, the degree of mechanization, and socioeconomic conditions have a significantly negative impact on the CPC in China. Furthermore, the labor structure has a notably positive impact on the CPC.
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36
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Mao H, Fu Y, Cao G, Chen S. Contract farming, social trust, and cleaner production behavior: field evidence from broiler farmers in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:4690-4709. [PMID: 34410596 DOI: 10.1007/s11356-021-15934-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/08/2021] [Indexed: 05/21/2023]
Abstract
Pollution from livestock and poultry is the main source of rural pollution, which directly affects the rural ecological environment as well as the quality and safety of agricultural products. Based on field experiment data on broiler farmers in China, this paper analyzes farmers' cleaner production behavior from the perspective of incomplete contracts and social trust. We find that social trust can promote farmers' cleaner production behavior. Moreover, our evidence suggests that contract farming (CF) has a significant positive effect on farmers' social trust and cleaner production behaviors. Further analysis indicates that CF not only directly promotes farmers' cleaner production, but can also indirectly promote farmers' cleaner production by improving their interpersonal trust and institutional trust. Overall, this paper offers a new point of view for improving the rural environment and sheds light upon how the government can formulate relevant policies to promote farmers' cleaner production behavior.
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Affiliation(s)
- Hui Mao
- Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi, 710119, People's Republic of China
| | - Yong Fu
- Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi, 710119, People's Republic of China
| | - Guangqiao Cao
- Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, Jiangsu, China.
| | - Shaojian Chen
- Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi, 710119, People's Republic of China
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37
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Jiang Z, Yang S, Chen X, Pang Q, Xu Y, Qi S, Yu W, Dai H. Controlled release urea improves rice production and reduces environmental pollution: a research based on meta-analysis and machine learning. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:3587-3599. [PMID: 34392484 DOI: 10.1007/s11356-021-15956-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/09/2021] [Indexed: 06/13/2023]
Abstract
To reveal the comprehensive impacts of controlled release urea (CRU) on rice production, nitrogen (N) loss, and greenhouse gas (GHG) emissions, a research based on global meta-analysis and machine learning (ML) was conducted. The results revealed that the CRU application instead of conventional fertilizer can increase rice yield, N use efficiency (NUE), and net benefits by 5.24%, 20.18%, and 9.30%, respectively, under the same amount of N. Furthermore, the emission of N2O and CH4, global warming potential (GWP), the loss of N leaching, and NH3 volatilization were respectively reduced by 25.64%, 18.33%, 21.10%, 14.90%, and 35.88%. The enhancing effects of CRU on rice yield and NUE were greater when the nitrogen application rate was 150 kg N ha-1. Nevertheless, the reducing effects of CRU on GHG emission reduction, nitrogen leaching, and NH3 volatilization was greater at high nitrogen application rate (≥150 kg ha-1). Mitigating effects of CRU on N2O and CH4 emission were significant when soil pH ≥ 6, while CRU posed a measurable effect on reducing nitrogen leaching and NH3 volatilization in paddy fields with soil organic carbon lower than 15 g kg-1 and pH lower than 6. Based on the data collected from meta-analysis, the results of ML demonstrated that it was feasible to use soil data and N application rate to predict N losses in rice fields under CRU. The performance of random forest is better than multilayer perceptron regression in predicting N losses from paddy fields. Thus, it is necessary to promote the application of CRU in paddy fields, especially in coarse soil, in which scenario the environmental pollution would be decreased and the rice yields, NUE, and net benefits would be increased. Meanwhile, machine learning models can be used to predict N losses in CRU paddy fields.
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Affiliation(s)
- Zewei Jiang
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China
| | - Shihong Yang
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, 1 Xikang Road, Nanjing, 210098, People's Republic of China.
- Cooperative Innovation Center for Water Safety & Hydro Science, Hohai University, Nanjing, 210098, People's Republic of China.
| | - Xi Chen
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China
| | - Qingqing Pang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, People's Republic of China
| | - Yi Xu
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China
| | - Suting Qi
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China
| | - Wanqing Yu
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China
| | - Huidong Dai
- Urban Water Scheduling and Information Management Department of Kunshan City, Kunshan, 215300, People's Republic of China
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38
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Zhu H, Ao Y, Xu H, Zhou Z, Wang Y, Yang L. Determinants of Farmers' Intention of Straw Recycling: A Comparison Analysis Based on Different Pro-Environmental Publicity Modes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111304. [PMID: 34769821 PMCID: PMC8583562 DOI: 10.3390/ijerph182111304] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 10/24/2021] [Accepted: 10/24/2021] [Indexed: 11/16/2022]
Abstract
Promoting the intention of farmers to participate in straw recycling is an effective way to alleviate the contradiction between environmental pollution, scarcity of environmental resources, and sustainable development. In this study, social trust and value perception were integrated into the theory of planned behavior to build a theoretical framework of farmers' intention to participate in straw recycling, considering the influences of three different pro-environmental publicity modes. A field investigation was used to collect research data in six sample villages. Finally, 761 valid questionnaires were collected, and partial least squares structural equation modeling was applied to test the research hypotheses. The results showed that the influence of attitudes, subjective norms, perceived behavior control, value perception, and social trust on farmers' straw recycling intentions was different among different pro-environmental publicity modes. Among the three pro-environmental publicity modes, the concentrated pro-environmental publicity mode has the best effect of promoting straw recycling intentions among farmers. This study introduces some targeted suggestions on the aspects of pro-environmental publicity theory and management practice based on the above research results.
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Affiliation(s)
- Hao Zhu
- College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China; (H.Z.); (H.X.)
| | - Yibin Ao
- College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China; (H.Z.); (H.X.)
- College of Management Science, Chengdu University of Technology, Chengdu 610059, China;
- Correspondence:
| | - Hong Xu
- College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China; (H.Z.); (H.X.)
| | - Zhongli Zhou
- College of Management Science, Chengdu University of Technology, Chengdu 610059, China;
| | - Yan Wang
- Department of Engineering Management, Sichuan College of Architectural Technology, Deyang 618000, China;
| | - Linchuan Yang
- Department of Urban and Rural Planning, School of Architecture and Design, Southwest Jiaotong University, Chengdu 611756, China;
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39
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Exploring Impacts of Perceived Value and Government Regulation on Farmers’ Willingness to Adopt Wheat Straw Incorporation in China. LAND 2021. [DOI: 10.3390/land10101051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In China, wheat straw incorporation (WSI) is the most popular way of utilizing wheat straw. WSI can manage agricultural residues to improve soil quality and avoid open burning in fields. However, farmers have been reluctant to implement WSI, which hinders sustainability. This study collected first-hand data about 1027 wheat growers, and used a Logit model to explore the influence of perceived value, government regulation, and their interaction on farmer willingness to adopt WSI. The results also reveal the differences between farmers with different farm sizes, as well as differences in other characteristics impacting WSI willingness. The study found that implementing government regulations and increasing the positive perceived value by farmers can effectively improve farmer willingness to adopt WSI. For example, government subsidies and farmers’ perceptions about cost-related risks impact farmer willingness. There is an interaction effect between government regulation and perceived value with respect to farmer willingness. Policy outreach could effectively strengthen the positive impacts of farmers’ perception of social benefits on farmer willingness. Government subsidies could effectively weaken the negative impacts of farmers’ perception of cost-related and time-related risks on farmer willingness. Farmers with different sized farms are influenced differently by government regulation and perceived value. The willingness of large-scale farmers to adopt WSI is generally influenced by government regulation and perceived value; in contrast, the willingness of traditional farmers is mainly influenced by policy outreach and perceived economic benefits.
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40
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Wang H, Zhong S, Guo J, Fu Y. Factors Affecting Green Agricultural Production Financing Behavior in Heilongjiang Family Farms: A Structural Equation Modeling Approach. Front Psychol 2021; 12:692140. [PMID: 34566770 PMCID: PMC8458563 DOI: 10.3389/fpsyg.2021.692140] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/29/2021] [Indexed: 11/20/2022] Open
Abstract
Adhering to large-scale agricultural operations is one of the basic ways to develop green agriculture, and it is also an inevitable choice for the development of modern agriculture in the country. Among them, as a major agricultural production province in China, the development of family farms in Heilongjiang Province has a significant impact on green agriculture. Based on the theory of planned behavior (TPB), this study takes the 222-demonstration bases of family farms evaluated in Heilongjiang Province in 2019 as samples and constructs a structural equation model (SEM) to discuss the influence of participation in the family farms in green agricultural production financing behavior in-depth based on directional design, distribution, recycling, and sorting out questionnaires. The research found that the financing willingness of the farmers is determined by the attitude, subjective norms, and perceived behavior system of the family farm manager, and the financing willingness of the farmers and perceived behavioral control are determined by the financing behavior of the farmers. Among them, attitudes, subjective norms, and perceived behavioral control have a significant positive impact on financing intention and have a further effect on financing behavior. Financing willingness and perceived behavioral control have a direct effect on financial behavior and have a significant positive effect on it. This article aims to improve and enhance the financing environment for family farms to participate in green agriculture, to increase the enthusiasm of the new agricultural operators to participate in green agriculture.
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Affiliation(s)
- Hongli Wang
- School of Public Administration, Dongbei University of Financel of Public Mana and Economics, Dalian, China
| | - Shen Zhong
- Institute of Finance, Harbin University of Commerce, Harbin, China
| | - Jinguang Guo
- School of Public Administration, Dongbei University of Finance and Economics, Dalian, China
| | - Yu Fu
- School of Public Administration, Dongbei University of Finance and Economics, Dalian, China
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41
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He P, Zhang J, Li W. The role of agricultural green production technologies in improving low-carbon efficiency in China: Necessary but not effective. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 293:112837. [PMID: 34102495 DOI: 10.1016/j.jenvman.2021.112837] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/15/2021] [Accepted: 05/16/2021] [Indexed: 06/12/2023]
Abstract
The effects of agricultural green production technologies (AGPTs) on agricultural productivity and the environment have received increasing attention. With the panel data of agricultural production of mainland China from 2000 to 2017, this study investigates the role of AGPTs adoption rates in improving low-carbon efficiency by adopting a random-effects panel Tobit model. Results indicate that average adoption rates of AGPTs are less than 20% and unbalanced adoptions vary between the main and non-main grain-producing areas, as well as the northern and southern main grain-producing areas. Furthermore, AGPTs adoption reduces low-carbon efficiency at nationwide and main grain-producing areas. In the northern main grain-producing areas, water-saving irrigation and no-tillage seeding reduce low-carbon efficiency, while mechanized returning straw crushing promotes it. In the southern main grain-producing areas, deep tillage with fertilizer application and no-tillage seeding decrease low-carbon efficiency, while mechanized deep ploughing and scarification increases it. We also find that AGPTs can promote low-carbon efficiency through comprehensive mechanization level and mechanical input density. To improve low-carbon efficiency, we suggest that the improvement and diffusion of applicable AGPTs should be adapted to the local production conditions, and the agricultural machinery service, research and development system should be improved as well.
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Affiliation(s)
- Peipei He
- College of Economics & Management, Huazhong Agricultural University, Wuhan, Hubei, 430070, PR China; International Joint Laboratory of Climate Change Response and Sustainable Agriculture, Wuhan, Hubei, 430070, PR China.
| | - Junbiao Zhang
- College of Economics & Management, Huazhong Agricultural University, Wuhan, Hubei, 430070, PR China; International Joint Laboratory of Climate Change Response and Sustainable Agriculture, Wuhan, Hubei, 430070, PR China.
| | - Wenjing Li
- College of Economics & Management, Huazhong Agricultural University, Wuhan, Hubei, 430070, PR China; International Joint Laboratory of Climate Change Response and Sustainable Agriculture, Wuhan, Hubei, 430070, PR China.
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42
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Li C, Shi Y, Khan SU, Zhao M. Research on the impact of agricultural green production on farmers' technical efficiency: evidence from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:38535-38551. [PMID: 33735411 DOI: 10.1007/s11356-021-13417-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/09/2021] [Indexed: 05/16/2023]
Abstract
Agricultural green production (AGP) and efficiency improvement of smallholders' management are the objective requirements for the development of China's modernized agriculture and the understanding of the rural vitalization strategy. Based on field survey data of 582 rice farmers in Shaanxi Province, this study used the Logit model to analyze the determinants of smallholders' adoption of agricultural green production technology (AGPT) and used the propensity score matching (PSM) method to measure the effect of AGPT on the technical efficiency (TE) of rice production and the heterogeneity of this influence among smallholders. Results showed that the AGPT adoption rate and the mean of rice production TE were 15.1% and 0.312, both had a lot of room for improvement. Furthermore, it was found that household's characteristics, family characteristics, agricultural management characteristics, social characteristics, and cognitive characteristics significantly affect smallholders' AGPT adoption, and the AGPT adoption significantly increased the TE of rice production by 18.8 to 24.5%. Besides, farmers with older age, less education, more specialized planting, more fragmented land, and more off-farm employment adopting AGPT could significantly improve the TE; the increase proportion was 29.8%, 29.5%, 21.3%, 27.2%, and 16.8%. The study also showed that the AGPT could not significantly increase the rice output value of smallholders. In addition, considering the endogeneity problem caused by sample selection bias, the study re-estimated using the endogenous transformation regression (ESR) model which showed that the promotion of AGPT to TE was still robust. The study puts forward policy recommendations on how to further promote the adoption of AGPT and improve the TE by farmers.
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Affiliation(s)
- Chaoqiong Li
- College of Economics and Management, Northwest A&F University, Yangling, 712100, China
| | - Yuxing Shi
- College of Economics and Management, Northwest A&F University, Yangling, 712100, China
| | - Sufyan Ullah Khan
- College of Economics and Management, Northwest A&F University, Yangling, 712100, China
| | - Minjuan Zhao
- College of Economics and Management, Northwest A&F University, Yangling, 712100, China.
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43
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A Win–Win Scenario for Agricultural Green Development and Farmers’ Agricultural Income: An Empirical Analysis Based on the EKC Hypothesis. SUSTAINABILITY 2021. [DOI: 10.3390/su13158278] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Due to severe resource and environmental constraints, agricultural green development is a vital step for the low-carbon development of China. How to achieve the goal of a win–win scenario that simultaneously improves agricultural green total factor productivity (GTFP) and farmers’ agricultural income was the main focus of this study. Based on the panel dataset for 31 provinces in China from 2000 to 2018, this study calculated the agricultural GTFP using the global Malmquist–Luenberger (GML) index to measure the green development of agriculture. Furthermore, this study investigated the relationship between the agricultural GTFP and agricultural income in an environmental Kuznets curve (EKC) framework, together with the key factors affecting agricultural GTFP. The main results show that, first, driven by technical progress, the agricultural GTFP gradually increased across the country, while there existed a certain degree of heterogeneity in the growth of different regions. Second, the relationships between the agricultural GTFP and agricultural income exhibited a significant U-shape for the whole country and the four regions, indicating that a win–win scenario can be achieved between green development and income level. Third, industrialization and urbanization negatively affected agricultural GTFP, capital deepening played a positive role, and due to the mediated effect of capital deepening, the outflow of the agricultural labor force did not cause substantial harm to agricultural GTFP. The findings of our study provide useful policy implications for the promotion and development of agriculture in China.
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Sun Y, Lu Y, Wang Z, Li M. Production efficiency and change characteristics of China's apple industry in terms of planting scale. PLoS One 2021; 16:e0254820. [PMID: 34293036 PMCID: PMC8297839 DOI: 10.1371/journal.pone.0254820] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/04/2021] [Indexed: 12/03/2022] Open
Abstract
The global population is rapidly increasing, the arable land area is losing in a large scale, and the water supply capacity is limited. Meanwhile, China is in a critical period of the transformation of apple industrial structure, and the improvement of apple production efficiency is an important way to increase farmers' output and income, moderate-scale operation is the inevitable trend in agricultural modernization. However, few studies have explored the production efficiency of the apple industry from the perspective of planting scale. In China, there are seven major apple-producing provinces: Shaanxi, Shandong, Gansu, Henan, Shanxi, Hebei, and Liaoning. Therefore, based on provincial panel data of the seven main apple-producing areas in China, this study used the Malmquist productivity index and data envelopment analysis to measure the efficiency level of the apple industry. At the same time, the threshold regression model was used to analyze the characteristics of the change in apple planting scale and production efficiency. The results showed that apple production efficiency in different regions of China exhibited regional differences and time series fluctuations. Apple planting scale had a "double" threshold effect, and the impact on apple production efficiency showed a "negative effect-positive effect" trend. Therefore, the suggestion is to appropriately adjust the scale of operation, take measures according to local conditions, promote the upgrading of apple production technology, and realize the integration of apple production and sales by using "Internet +."
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Affiliation(s)
- Yu Sun
- Department of Management, Qingdao Agricultural University, Qingdao, China
| | - Yonghua Lu
- Department of Management, Qingdao Agricultural University, Qingdao, China
| | - Zichun Wang
- Department of Management, Qingdao Agricultural University, Qingdao, China
| | - Mingyue Li
- School of Economics and Management, Beijing Forestry University, Beijing, China
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Li M, Zhao P, Wu L, Chen K. Effects of Value Perception, Environmental Regulation and Their Interaction on the Improvement of Herdsmen's Grassland Ecological Policy Satisfaction. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18063078. [PMID: 33802705 PMCID: PMC8002478 DOI: 10.3390/ijerph18063078] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/05/2021] [Accepted: 03/13/2021] [Indexed: 11/16/2022]
Abstract
Sustainable utilization of grassland resources was an important topic concerned by worldwide countries and regions, and ecological compensation had gradually become the main policy tool for grassland environmental management and ecological protection. This study adopted face-to-face interviews and questionnaires, and multiordered Logit model was then used to explore herdsmen’s satisfaction with Grassland Ecological Conservation Subsidy and Reward Policy (GECSRP) focusing on identifying the key factors behind it. Results showed that herdsmen were not satisfied with GECSRP on the whole, while value perception, environmental regulation and their interaction played a positive role on improving the satisfaction. Specifically, economic benefits had the strongest promotion impacts, followed by social identity in the two-dimensional variables of value perception. The guiding regulation had stronger promoting impacts, followed by the incentive regulation in the two-dimensional variables of environmental regulation. Interestingly, incentive regulation played an enhanced interaction on the influence of economic benefits and environmental value on herdsmen’s satisfaction, yet the interaction between guiding regulation and environmental value was not significant. These indicated that herdsmen paid more attention to substantial subsidies and rewards in the process of ecological livestock husbandry, and environmental regulation formulated by government had a phenomenon of “relative system failure”. Thus, the grassland ecological environment policy should be further adjusted and improved to promote the economic development of pastoral areas.
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Affiliation(s)
| | | | | | - Kai Chen
- Correspondence: ; Tel.: +86-139-1038-5159
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Ren L, Li J, Li C, Dang P. Can ecotourism contribute to ecosystem? Evidence from local residents' ecological behaviors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143814. [PMID: 33248787 DOI: 10.1016/j.scitotenv.2020.143814] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 06/12/2023]
Abstract
Ecotourism has long been considered as a means of ecological conservation. However, local residents' disturbances to ecosystem were often ignored and inadequately studied. This paper examined whether and how local residents' participation in ecotourism affected their ecological behaviors by using the survey data of ecotourism demonstration villages in western China and PLS-SEM method to correct measurement misspecification. The results showed that different forms of ecotourism participation affected ecological behaviors in different ways. Decision participation brought the strongest and positive effects on ecological perception, but failed to transform into actual ecological behaviors. Capital participation's influence on ecological behaviors was positive, direct, and multidimensional. Business participation directly reduced intensity of resource use, but this effect was counteracted by the increase of economic perception and the reverse effects it induced. It indicated the opportunities and challenges for ecotourism to realize its eco-goal, as well as the strategies to relax the constraints.
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Affiliation(s)
- Linjing Ren
- School of Humanities, Economics and Laws, Northwestern Polytechnical University, 710072, China.
| | - Jie Li
- School of Public Policy and Administration, Xi'an Jiaotong University, 710049, China
| | - Cong Li
- School of Economics and Finance, Xi'an Jiaotong University, 710049, China
| | - Peiying Dang
- School of Public Policy and Administration, Xi'an Jiaotong University, 710049, China
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Modeling and Simulation of Dissemination of Cultivated Land Protection Policies in China. LAND 2021. [DOI: 10.3390/land10020160] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cultivated land protection is the top priority of the national economy in China and the livelihood of people. Cultivated land protection policies (CLPP) play an important role in the protection of cultivated land. However, the process of dissemination of CLPP on social networks of farmers has problems, such as distortion of policy content, single dissemination channels, low level of farmers’ knowledge, and low dissemination efficiency. For revealing the characteristics of the dissemination of CLPP in the farmers’ social networks (FSN), this study combines the Suspected–Exposed–Infected–Recovered–Suspected (SEIRS) epidemic model to construct a model of CLPP dissemination suitable for FSN. In addition, a numerical simulation of the dissemination process of CLPP is conducted on the FSN, and the influence of the structural characteristics of the FSN and different model parameters on the dissemination of CLPP is analyzed. Results show that (1) the dissemination rate between farmers in FSN has a significant impact on the scale and speed of CLPP. A greater initial dissemination rate corresponds to faster speed and larger scale of CLPP dissemination. (2) A greater node degree in FSN means stronger dissemination ability for CLPP. Therefore, identifying structural holes (opinion leaders) in FSN can effectively promote the dissemination of CLPP. (3) The SEIRS model can dynamically describe the evolution law of CLPP dissemination process over time through the four states of farmer nodes of suspected, exposed, infected, and recovered. Numerical simulation results show that the immune degradation rate is proportional to CLPP. However, the direct immunization rate is inversely proportional. The increase in immune degradation rate can reduce the number of recovered farmers and improve the efficiency of CLPP dissemination. On the basis of the abovementioned conclusions, this study draws policy recommendations to increase the scale and speed of CLPP dissemination in China.
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Yu Z, Rehman Khan SA. Evolutionary game analysis of green agricultural product supply chain financing system: COVID-19 pandemic. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2021. [DOI: 10.1080/13675567.2021.1879752] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Zhang Yu
- School of Economics and Management, Chang’an University, Xi’an, People’s Republic of China
| | - Syed Abdul Rehman Khan
- School of Management and Engineering, Xuzhou University of Technology, Xuzhou, People’s Republic of China
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