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Dang L, Gu H, Wang W, Cheng X, Kim S. Study of Sustainability and Health-Related Living Environment Factors Under the Background of Rural Revitalization in the Towns of Guzhen County. SCIENTIFICA 2024; 2024:2154665. [PMID: 39735692 PMCID: PMC11671631 DOI: 10.1155/sci5/2154665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 07/19/2024] [Accepted: 10/29/2024] [Indexed: 12/31/2024]
Abstract
It is crucial to prioritize research and development as part of rural revitalization efforts to promote balanced economic growth, preserve cultural heritage, and reduce urban migration. This ensures sustainability and encourages equal access to opportunities, resources, and a healthy environment for people in both rural and urban areas. For the first time, this study explores the interplay between sustainability (Factor A) and health-related environment (Factor B) under the background of rural revitalization in the eight towns (Chengguan, Haocheng, Liacheng, Renqiao, Hugou, Xinmaqiao, Liuji, and Wangzhuang) located in Guzhen County, Bengbu City, China. The towns of Guzhen County were not studied under these two factors before. This study evaluates the sustainability and health-related environmental needs by gathering data from 100 residents in eight towns, totaling 800 residents from the targeted study area. Sustainability highlights town-specific priorities; however, health-related needs (Factor B) emphasize the mutual needs of all residents. Similar results in different towns highlight the critical significance of health-related environment. Statistical analysis reveals a significant correlation between sustainability and health-related environmental factors. This stimulates further exploration of nuanced dynamics in rural revitalization. A higher agreement percentage (80%-100%) on health-related aspects underscores the importance of prioritizing policies to overcome these issues in the study area.
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Affiliation(s)
- Lei Dang
- Department of Architecture, Graduate School, Keimyung University, Daegu 42601, Republic of Korea
| | - Haoyu Gu
- Department of Architecture, Graduate School, Keimyung University, Daegu 42601, Republic of Korea
| | - Weishen Wang
- Department of Landscape Architecture, Henan Agricultural University, Zhengzhou 450002, China
| | - Xiaoling Cheng
- Department of Art Artist Design, Art School, Anhui Jianzhu University, Hefei 230009, China
| | - Soobong Kim
- Department of Architecture, Graduate School, Keimyung University, Daegu 42601, Republic of Korea
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Zhang S, Luo Y, Zhang P. A comparative study of factors influencing residents' waste sorting behavior in urban and rural areas of China. Heliyon 2024; 10:e30591. [PMID: 38756576 PMCID: PMC11096745 DOI: 10.1016/j.heliyon.2024.e30591] [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: 04/04/2024] [Accepted: 04/30/2024] [Indexed: 05/18/2024] Open
Abstract
Extensive research has been conducted on the waste sorting behavior (WSB) of residents, while it is the first time that the classification behavior of urban and rural residents is compared under the same theoretical framework in China. Based on questionnaire data from 478 urban and rural residents, structural equation modeling (SEM) was used to investigate the internal factors influencing the WSB by integrating the Theory of Planned Behavior (TPB) and the Norm Activation Model (NAM). Hierarchical regression analysis was utilized to investigate the moderating effect of external factors on the residents' intentions and behavior. The results show that the degree of deviation between rural residents' intentions and behavior is much larger than that of urban residents. Personal norms are the key factors affecting urban residents' waste sorting. In contrast, for rural residents, attitude is the most critical factor, but the influence of subjective norms is insignificant. In addition, we found that policy restraints and economic incentives significantly moderate the association between urban residents' sorting intention and behavior, with economic incentives having a better effect than policy restraints. In contrast, the impact of policy restraints on rural residents is better than that of urban areas. However, the moderating effect of economic incentives is insignificant for rural residents. The findings furnish the government with meaningful strategies to narrow the urban-rural waste management gap.
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Affiliation(s)
- Shibin Zhang
- School of Management Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Yuzi Luo
- School of Management Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Pu Zhang
- School of Management Engineering, Shandong Jianzhu University, Jinan, 250101, China
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Sun N, Liu D, Zhang J. Exploring the factors influencing the intention to clothing and textiles recycling among Chinese college students': a study based on TPB and VBN. Front Psychol 2024; 14:1328037. [PMID: 38274694 PMCID: PMC10808640 DOI: 10.3389/fpsyg.2023.1328037] [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: 10/27/2023] [Accepted: 12/30/2023] [Indexed: 01/27/2024] Open
Abstract
Recycling apparel and fabrics is essential for preserving resources and protecting the environment, providing considerable global advantages for ecology and society. This study sought to explore the participation of Chinese college students in the recycling of clothing and fabrics by combining the Theory of Planned Behavior (TPB), the Value-Belief-Norm theory (VBN), self-identity, school education, and perceived policy effectiveness to create a comprehensive model. A total of 1,027 valid samples were obtained through stratified sampling and random sampling, primarily sourced from Eastern China, and analyzed through Structural Equation Modeling (SEM) utilizing AMOS. The results of the research suggested the following: (1) College students' biospheric values emerged as the most influential factor in predicting their inclination to participate in recycling behavior. (2) VBN (encompassing biospheric and altruistic values) and self-identity significantly contributed to shaping attitude and perceived behavioral control, which in turn impacted individuals' intention to participate in recycling. (3) School education exerted a stronger moderating influence than perceived policy effectiveness on the relationship between attitude, perceived behavioral control, and intention. The comprehensive model proposed in this study demonstrated superior predictive capability in explaining college students' willingness to participate in clothing and textiles recycling. It has been proven to be practical and effective. Lastly, schools should promote the practice of clothing and textiles recycling, cultivate good values, and utilize the power of social influence to encourage college students to participate in clothing and textiles recycling. The government should improve relevant laws and regulations, collaborate with academia, and adopt measures like incentives to create a pro-environment atmosphere.
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Affiliation(s)
| | - Dong Liu
- Department of Industrial Design, School of Art, Jiangsu University, Zhenjiang, Jiangsu, China
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Liu T, Liu H, Wei G, Zhao H, Gong Y, Guo X, Zhang Y. Comprehensive assessment of food waste treatment emission reduction in China: a life cycle perspective. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:87669-87684. [PMID: 37430080 DOI: 10.1007/s11356-023-28622-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 07/01/2023] [Indexed: 07/12/2023]
Abstract
Food waste (FW) treatment has attracted increasing attention since waste classification occurred in China. Analyzing the environmental and economic impacts of different FW treatment technologies is required. In this study, four FW treatments, i.e., anaerobic digestion, black soldier fly (BSF) bioconversion, composting, and landfill, were evaluated using life cycle assessment (LCA) and life cycle cost (LCC). LCA results show that anaerobic digestion outperforms the other technologies, while LCC results indicate anaerobic digestion has the lowest economic benefits ($5.16) and landfill has the highest ($14.22). Bioconversion has the highest product revenue ($37.98). FW anaerobic digestion followed by treating digestate and waste crude oil was employed to investigate the environmental differences between waste classification and mixed incineration. Digestate gasification and conversion of waste crude oil to biodiesel are found to be environmentally friendly, and waste classification outperforms mixed incineration. Furthermore, we explored national-level environmental emission reduction with anaerobic digestion as the dominant technology via increasing resource utilization rate and applying household FW disposers. Results display that a 60% resource utilization rate decreases the overall environmental impact by 36.68% compared with current situation, and treating household FW separately at the source can further lead to emission reduction. This study provides a reference for selecting FW technologies for countries worldwide from environmental and economic perspectives, as well as a direction of resource utilization for how to reduce environmental emissions from treating the total FW produced by all humanity.
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Affiliation(s)
- Tong Liu
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin, 300384, China
- Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Hanqiao Liu
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin, 300384, China.
| | - Guoxia Wei
- College of Science, Tianjin Chengjian University, Tianjin, 300384, China
| | - Hailong Zhao
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, 100084, China
| | - Yongyue Gong
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin, 300384, China
| | - Xin Guo
- UNEP-TONGJI Institute of Environment for Sustainable Development, College of Environmental Sciences and Engineering, Tongji University, Shanghai, 200000, China
| | - Youcheng Zhang
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin, 300384, China
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Li Y, Bhutto MY, Sun C, Mehdi SM. Do information publicity and moral norms trigger waste-sorting intention among households? A sequential mediation analysis. Front Psychol 2023; 14:1193411. [PMID: 37397287 PMCID: PMC10311444 DOI: 10.3389/fpsyg.2023.1193411] [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: 03/24/2023] [Accepted: 05/26/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction The quick pace of technological advancement and urbanization has led to a significant increase in waste production, severely damaging environmental quality and human health. The sorting of waste is a viable option to reduce environmental hazards and attain high recovery rates in the cities. This research extended the theory of planned behavior (TPB) by integrating information publicity (IP) and moral norms (MNs). Methods A conceptual model has been developed to explore the predictors of waste-sorting intention of households. The data from 361 Pakistani households have been collected using the purposive sampling method and analyzed via PLS-SEM. Results and discussion The study's results revealed that IP is important in creating awareness and establishing moral norms regarding waste sorting among households. The findings further confirm that MN, attitude (ATD), subjective norms (SNs), and perceived behavioral control (PBC) sequentially mediate between IP and WSI. The findings of the current study provides useful practical implications to the practitioners and academicians to combat environmental pollution.
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Affiliation(s)
- Yan Li
- Business School, Zhengzhou University, Zhengzhou, China
- Postdoctoral Mobile Research Station of School of Politics and Public Management, Zhengzhou University, Zhengzhou, China
| | | | - Chaojing Sun
- Shandong Labor Vocational and Technical College, Jinan, China
| | - Syed Muntazir Mehdi
- Institute of Health and Business Management, Jinnah Sindh Medical University, Karachi, Pakistan
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Liu H, Liu T, Wei G, Zhao H, Li T, Weng F, Guo X, Wang Y, Lin Y. Environmental and economic assessment of rural domestic waste gasification models in China. WASTE MANAGEMENT (NEW YORK, N.Y.) 2022; 154:160-174. [PMID: 36244205 DOI: 10.1016/j.wasman.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/18/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
The dispersed sources and inconvenient transportation of rural domestic waste (RDW) lead to difficult centralized treatment. Gasification is suitable for decentralized waste treatment, which can effectively avoid RDW long-distance transportation and reduce dioxin emissions compared with small-scale incineration. Hence, economically-affordable and environmentally-friendly RDW treatment models with different gasification scales are required, and village, town and county models were compared via life cycle assessment (LCA) and life cycle cost (LCC) methods in this study. Furthermore, scenario analysis investigated waste sorting based on two food waste (FW) treatment technologies, different FW separate collection efficiency, and electricity recovery to explore the environmental and economic improvement potentials of three models. LCA results show that electricity consumption and direct emissions are significant contributors to environmental impacts, and the county model outperforms village and town models. Moreover, transportation accounts for 6% of the overall environmental impact in the county model. Scenario analysis reveals that waste sorting and electricity recovery can reduce the overall environmental impact by 29% to 146% for three models. LCC results demonstrate that the town model delivers the lowest economic cost, while the village model is the highest. In scenario analysis, resource utilization of FW and electricity recovery of other waste exhibit promising economic benefits. The findings provide comprehensive references for sustainable RDW treatment.
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Affiliation(s)
- Hanqiao Liu
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
| | - Tong Liu
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China
| | - Guoxia Wei
- College of Science, Tianjin Chengjian University, Tianjin 300384, China
| | - Hailong Zhao
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China.
| | - Tong Li
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China
| | - Fangkai Weng
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China
| | - Xin Guo
- UNEP-TONGJI Institute of Environment for Sustainable Development, College of Environmental Sciences and Engineering, Tongji University, Shanghai 200000, China
| | - Yanzhang Wang
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China
| | - Yanfei Lin
- College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China
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Wang X, Tan J. The Perception and Attitude of Farmers toward Domestic Waste Classifications: A Case Study on Wusheng County, Sichuan Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13499. [PMID: 36294079 PMCID: PMC9603105 DOI: 10.3390/ijerph192013499] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
The effective treatment of rural domestic waste is the key to solving rural environmental pollution and realizing rural ecological revitalization. Giving full play to the main role of farmers' domestic waste classification can improve the efficiency and effect of domestic waste treatment. To explore the key factors affecting the farmers' perception, attitude, and behavior of domestic waste classification, this study with 318 farmers in Sichuan Province as the research object, the research framework of domestic waste classification behavior was constructed based on the theory of planned behavior, and then, the logistic regression model was used for the empirical test. The results show that the farmers' education levels, subjective norms, relatives' and neighbors' views on waste classification, farmers' awareness regarding the negative environmental impacts caused by waste, farmers' private benefits, and farmers' views on the waste management ability of local governments are significantly positively correlated with the classification behavior of farmers' domestic waste. The distance between farmers' houses and waste collection points is significantly negatively correlated with the classification behavior of farmers' domestic waste. This paper provides a certain theoretical reference for realizing the reduction, resourcization, and positive development of rural domestic waste management in China.
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Affiliation(s)
- Xuxi Wang
- Policy Research Office, Sichuan Institute of Urban and Rural Construction, Chengdu 610041, China
| | - Jing Tan
- School of Public Policy and Administration, Chongqing University, Chongqing 400044, China
- Center for Public Economics & Public Policy, Chongqing University, Chongqing 400044, China
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Yin Z, Ma J. Rational Choice or Altruism Factor: Determinants of Residents' Behavior toward Household Waste Separation in Xi'an, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11887. [PMID: 36231186 PMCID: PMC9565340 DOI: 10.3390/ijerph191911887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
Understanding why people do or do not perform household waste separation is a vital premise for designing relevant policies to promote waste management. As such, in this paper, an empirical study was carried out to explore the impacts of both rational choice and altruism factors on residents' household waste separation behavior. Through the analysis of the survey sample (n = 1102) from Xi'an, China, using structural equation modeling, the main findings suggested that (i) the rational choice model can better explain such behavior, (ii) the altruism factor cannot directly affect household waste separation behavior, (iii) the altruism factor is highly correlated with the attitude determinant of household waste separation behavior, and (iv) rational choice models incorporating the altruism factor may have better explanatory efficacy. After that, some factors influencing residents' altruism to household waste separation were identified. The main aim of this study was to compare two different tendencies in explaining sustainable behavior and help to find a better framework for behavior analysis.
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The Impacts of Value-Added Tax Audit on Tax Revenue Performance: The Mediating Role of Electronics Tax System, Evidence from the Amhara Region, Ethiopia. SUSTAINABILITY 2022. [DOI: 10.3390/su14106105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Governments worldwide cannot collect the required tax revenue for their planned activities. This study aims to assess how inefficient VAT audit function and related factors affect tax revenue performance in Amhara Region, Ethiopia. The study used primary data sources from 377 VAT registered taxpayers in Amhara Region. It also used the Ability to Pay theory of taxation, structural equation model, path diagram, and multiple regression with SPSS/AMOS software for data analysis to identify the relationship between VAT audit and tax revenue performance. Even though the Amhara Region has revenue potential to cover its expenditures, because of inefficient VAT audit functions, poor system of tax education, lack of tax resources, and long time served tax rate, the tax revenue performance is inefficient. The study assured that VAT audit and tax education significantly affect tax revenue performance. The scarcity of resources for the VAT audit function is a critical problem. Even if the existed technology networked up to woreda levels, tax auditors did not use this system appropriately. Long-time-served tax rates also greatly influence tax revenue performance. The study recommended that there should be a chain mentor relationship between experienced auditors to new and ineffective auditors. The government should supply appropriate technology that is simple to use and quickly detect tax evasion. The existed tax rate and the system of tax education should be revised. The above findings are essential for taxpayers, policymakers, and tax authorities to understand, analyze, and use the main causes of VAT audit problems on tax revenue performance.
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The Mechanism of Household Waste Sorting Behaviour-A Study of Jiaxing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042447. [PMID: 35206637 PMCID: PMC8878707 DOI: 10.3390/ijerph19042447] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 02/13/2022] [Accepted: 02/17/2022] [Indexed: 02/04/2023]
Abstract
Economic growth and rapid urbanization have resulted in various urban issues related to sustainable development in emerging economies such as China. Nowadays, two-thirds of China's cities are besieged by waste and one-fourth of the cities have no space to build landfills. China is embarking on a top-down waste sorting revolution, in which residents' awareness and behaviour of participation are fundamental to the success of garbage classification. The purpose of this paper is to understand residents' waste sorting behaviour and identify the influencing factors in China. The subjects of this study are urban and rural residents in Jiaxing, where local government has begun to encourage waste classification but has not yet legalized it. With the integration of the theory of planned behaviour (TPB) and value-belief-norm theory (NAM), this study represents a "motivation-intention-behaviour" theoretical model for the systemic illustration of the antecedents of household waste sorting behaviour. A total of 541 questionnaires were administered in person in households in Jiaxing, China. Structural equation modelling with partial least squares was applied to analyse empirically. The results show that attitudes (ATT), subjective norm (SN), and perceived behavioural control (PBC) have a significant positive effect on the intention of household waste sorting (WSI), and the perceived policy effectiveness (PPE) has a positive and significant effect on the attitudes and waste sorting intention. The waste sorting intention has a positive and significant effect on waste sorting behaviour (WSB). In addition, individual characteristics have a significant impact on waste sorting behaviour, where respondents of women, higher income, and middle and old age are more willing to implement waste sorting behaviours. This study theoretically contributes to the literature by improving the understanding of the determinants of household solid waste sorting behaviour. It also provides several recommendations to improve existing policies at the practitioner level. These recommendations can be valuable references for waste management in China and other emerging economies.
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