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Li T, Zhang Y, Bi X, Wu J, Chen M, Luo B, Feng Y. Comprehensive performance evaluation of coordinated development of industrial economy and its air pollution control. Heliyon 2023; 9:e17442. [PMID: 37449132 PMCID: PMC10336436 DOI: 10.1016/j.heliyon.2023.e17442] [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: 05/07/2023] [Revised: 06/16/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
Exploring coordinated pathways that can promote not only the sustainable development of the industrial economy but also air quality is of great significance for the prevention and control of air pollution in China. Currently, the joint development pathways of the industrial economy-environment nexus remain unclear and poorly evaluated. In this study, we proposed a comprehensive performance evaluation combining objective and subjective weighting to identify industrial enterprises' economic-environment nexus benefits. It would be one of the most important steps to explore the coordinated pathways. Based on data envelopment analysis (DEA), the proposed method integrated with the index integration was used to evaluate the comprehensive performances of 41 industrial sectors in China's 13th five-year plan (2016-2020). Evaluation results showed that the comprehensive performances of the economy-environment nexus of the industrial sectors varied significantly, with the five-year average comprehensive technical efficiency (TE) of 0.11-1. Overall, the best two performances were realized by the industries of equipment manufacturing and living consumption, whereas the worst one belonged to the industry of bulk raw materials, with average comprehensive TE values of 0.50, 0.43, and 0.19, respectively. The results of the quantitative evaluation were consistent with those of the qualitative analysis in terms of the developmental status of the industrial sectors. According to the analyses of pure technical efficiency and scale effect, the proposed method identified the industrial sectors with the highest developmental value and with the highest need to control air pollution. Compared with those of the original DEA model, the results of the proposed method showed pronounced differences in terms of the performances of industrial sectors with high energy consumption and high particulate matter (PM) emissions and with low energy consumption and low PM emissions. The proposed evaluation method combining the weighting was suitable for identifying the comprehensive performance of the industrial economy-environment nexus and provides the basis for the prevention and control of air pollution.
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Affiliation(s)
- Tingkun Li
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China
- Research Center for Energy and Climate, Sichuan Academy of Environmental Policy and Planning, Chengdu, China
- Assessment and Research Center for Pollution and Carbon Reduction, Tianfu Yongxing Laboratory, Chengdu, China
| | - Yufen Zhang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China
| | - Xiaohui Bi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China
| | - Jianhui Wu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China
| | - Mingyang Chen
- Research Center for Energy and Climate, Sichuan Academy of Environmental Policy and Planning, Chengdu, China
- Assessment and Research Center for Pollution and Carbon Reduction, Tianfu Yongxing Laboratory, Chengdu, China
| | - Bin Luo
- Research Center for Energy and Climate, Sichuan Academy of Environmental Policy and Planning, Chengdu, China
- Assessment and Research Center for Pollution and Carbon Reduction, Tianfu Yongxing Laboratory, Chengdu, China
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China
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Shen Y, Kong W, Shi R, Du R, Zhao M. Farmers' adoption behavior of conservation tillage technology: a multidimensional heterogeneity perspective. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:37744-37761. [PMID: 36574130 DOI: 10.1007/s11356-022-24716-9] [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: 07/02/2022] [Accepted: 12/07/2022] [Indexed: 06/18/2023]
Abstract
Adopting conservation tillage technology can promote sustainable agriculture development. There have been many studies on all farmers' conservation tillage behaviors, but few studies are based on a farmer's multidimensional heterogeneity perspective. Given the background, we conduct an empirical evaluation using micro survey data from 819 households in the middle and upper reaches of the Yellow River Basin. This paper uses the entropy method to classify farm households into three types: economically dominant, resource dominant, and socially dominant. Furthermore, we use the Heckman sample selection model to discuss the factors that affect the adoption of conservation tillage technology by different types of farmers. The results show that land fragmentation degree can inhibit economically dominant farmers conservation tillage technology adoption behavior. Social relations can positively influence resource dominant farmers. The share of non-farm income will positively impact socially dominant farmers. This paper further proposes policy implications, based on the findings that different types of farmers have various factors influencing conservation tillage technology adoption behavior.
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Affiliation(s)
- Yujie Shen
- College of Economics and Management, Northwest A&F University, 712100, Yangling Shaanxi, China
| | - Wenting Kong
- School of Finance, Capital University of Economics and Business, Beijing, 100070, China
| | - Rui Shi
- College of Economics and Management, Northwest A&F University, 712100, Yangling Shaanxi, China
| | - Ruirui Du
- College of Economics and Management, Northwest A&F University, 712100, Yangling Shaanxi, China
| | - Minjuan Zhao
- College of Economics and Management, Northwest A&F University, 712100, Yangling Shaanxi, China.
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Li X, Xiao P, Zhou Y, Xu J, Wu Q. The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15040. [PMID: 36429759 PMCID: PMC9690344 DOI: 10.3390/ijerph192215040] [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: 08/28/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
The material foundation of sustainable agricultural development is cultivated land resources, and their sustainable use is critical to fostering agricultural sustainability and guaranteeing national food security. In this paper, the multifunctional evaluation framework of the cultivated land system based on the "GESEL" model at the grid scale (5 km × 5 km) is constructed to explore the spatiotemporal evolution characteristics of a multifunctional cultivated land system in two lake plains and the trade-off and synergy between the functions. The five functions are all unstable in time scales, and their spatial distribution characteristics are also different. The trade-off and synergy between the multiple functions of the cultivated land system in the two lake plains from 2000 to 2019 showed significant spatial heterogeneity. Most of the functions were mainly collaborative, and a few were trade-offs. The two lake plains can be divided into four multi-functional cultivated land zones: a grain production leading zone, a distinctive agricultural planting zone, a high-efficiency agricultural development zone, and an ecological agricultural construction zone. This research puts forward some countermeasures and suggestions to promote the sustainable utilization of cultivated land resources.
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Affiliation(s)
- Xigui Li
- College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China
| | - Pengnan Xiao
- The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Yong Zhou
- The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
| | - Jie Xu
- Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
| | - Qing Wu
- Tourism and Historical Culture College, Zhaoqing University, Zhaoqing 526061, China
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Rural Effectiveness Evaluation: A New Way of Assessing Village Development Status. SUSTAINABILITY 2022. [DOI: 10.3390/su14159059] [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
China is currently at a crucial stage of rural revival and transformation growth. Accurate measurement of rural development status is able to provide decision-making services for rural revitalization plan implementation. To address this issue, combining with effectiveness concepts and on the basis of the widely recognized “production–living–ecology” perspective of rural development in the world, this study proposes an innovative technical evaluating system for rural effectiveness. We constructed a rural effectiveness evaluation index system and measurement model, as well as a four-quadrant approach to identify the effectiveness of villages, selecting Xintai county, a typical resource-depleted city, for empirical analysis to verify the evaluation technical system. The results show that (1) 220 villages had comprehensive effectiveness, accounting for 27.8% of the total; the amount of effectiveness for villages in terms of the production, living, and ecological dimensions were 204, 229 and 195, respectively, and they clearly displayed heterogeneity in terms of spatial distribution. (2) The following are village effectiveness dominant types: the function dominates the comprehensive effectiveness. For each dimension, there is a functionally dominant type. (3) Bivariate Moran’s I analysis revealed the relationships’ internal effectiveness. In the same dimension, there was a conflict between efficiency and function. In each dimension, trade-offs were found between the production function, ecological function, living efficiency, as well as production efficiency, ecological function, and efficiency. Synergies were found among the production function and ecological efficiency. Living efficiency had synergies with production efficiency and ecological efficiency. This research enriched the theoretical approach of assessing rural development status and can help guide the rational conversion of village elements to achieve village transformation and sustainability development, as well as providing technical assistance for the implementation of the rural revitalization strategy.
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Wang H, Chen H, Tran TT, Qin S. An Analysis of the Spatiotemporal Characteristics and Diversity of Grain Production Resource Utilization Efficiency under the Constraint of Carbon Emissions: Evidence from Major Grain-Producing Areas in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137746. [PMID: 35805404 PMCID: PMC9265660 DOI: 10.3390/ijerph19137746] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 01/27/2023]
Abstract
As the most important driving force for ensuring the effective supply of grain in the country, the production stability of the major grain-producing areas directly concerns the national security of China. In this paper, considering the “water–soil–energy–carbon” correlation, water, soil and energy resource factors, and carbon emission constraints were included in an index system, and the global common frontier boundary three-stage super-efficient EBM–GML model was used to measure the grain production resource utilization efficiency of the major grain-producing areas in China from 2000 to 2019. This paper also analyzed the static and dynamic spatiotemporal characteristics and the restrictions of utilization efficiency. The results showed that, under the measurement of the traditional data envelopment analysis model, the grain production resource utilization efficiency in the major producing areas is relatively high, but there is still room to improve by more than 20%, and grain production still has enormous growth potential. After excluding external environmental and random factors, it was found that the utilization efficiency of grain production resources in the major producing areas decreased, and the efficiency and ranking of provinces changed significantly. External factors inhibit pure technical efficiency and expand the scale efficiency. The utilization efficiency of Northeast China was much higher than that of the Huang-Huai-Hai region and the middle and upper reaches of the Yangtze River region, and its grain production resource allocation management had obvious advantages. The total factor productivity index of food production resources showed an upward trend as a whole, and its change was affected by both technological efficiency and technological progress, of which technological progress had the greater impact. Therefore, reducing the differences in the external environment of different regions while making adjustments in accordance with their own potential is an effective way to further improve the utilization efficiency of food production resources.
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Affiliation(s)
- Haokun Wang
- School of Economics and Management, Northeast Forestry University, Harbin 150040, China; (H.W.); (T.T.T.); (S.Q.)
| | - Hong Chen
- School of Economics and Management, Northeast Forestry University, Harbin 150040, China; (H.W.); (T.T.T.); (S.Q.)
- Ecological Civilization Construction and Green Development Think Tank of Heilongjiang Province, Harbin 150040, China
- Correspondence: ; Tel.: +86-138-3600-0386
| | - Tuyen Thi Tran
- School of Economics and Management, Northeast Forestry University, Harbin 150040, China; (H.W.); (T.T.T.); (S.Q.)
| | - Shuai Qin
- School of Economics and Management, Northeast Forestry University, Harbin 150040, China; (H.W.); (T.T.T.); (S.Q.)
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