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Ghazaryan L, Faure C, Schleich J, Birau MM. Transition from a fixed fee to a pay-as-you-throw waste tariff scheme: Effectiveness of environmental and accountability appeals. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2025; 385:125603. [PMID: 40334412 DOI: 10.1016/j.jenvman.2025.125603] [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: 02/27/2025] [Revised: 04/15/2025] [Accepted: 04/27/2025] [Indexed: 05/09/2025]
Abstract
Pay-As-You-Throw (PAYT) tariff schemes, in which households pay based on their waste generation, are proposed as solutions to the growing worldwide challenge of municipal solid waste management. However, public acceptance of such schemes remains low. Using a one-factor between-subject experimental survey design with 620 participants, we test the effects of environmental and accountability appeals and of individual characteristics in shaping preferences for a proposed PAYT scheme in Grenoble, France. We find a positive effect of the accountability appeal and no effect of the environmental appeal on preference for the PAYT scheme compared to a fixed-fee scheme. Additional analyses suggest that accountability appeals are particularly effective for individuals with below-median age, above-median income, and at least a master's degree, indicating that policymakers should target younger and educated citizens with these appeals in PAYT campaigns. Future research could test the applicability of these findings in other settings and for other waste-related interventions.
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Affiliation(s)
- Lesman Ghazaryan
- Grenoble Ecole de Management, 38000, Grenoble, France; Université Savoie Mont Blanc, 74940, Annecy, France.
| | - Corinne Faure
- Grenoble Ecole de Management, 38000, Grenoble, France.
| | - Joachim Schleich
- Grenoble Ecole de Management, 38000, Grenoble, France; Fraunhofer Institute for Systems and Innovation Research, Breslauer Straße 48, 76139, Karlsruhe, Germany.
| | - Mia M Birau
- Emlyon Business School, 144 Av. Jean Jaurès, 69007, Lyon, France.
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Zhao Y, Li F, Yang Y, Zhang Y, Dai R, Li J, Wang M, Li Z. Driving forces and relationship between air pollution and economic growth based on EKC hypothesis and STIRPAT model: evidence from Henan Province, China. AIR QUALITY, ATMOSPHERE, & HEALTH 2023; 16:1-16. [PMID: 37359389 PMCID: PMC10227404 DOI: 10.1007/s11869-023-01379-0] [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: 10/26/2022] [Accepted: 05/15/2023] [Indexed: 06/28/2023]
Abstract
The aim of this research is to analyze the main influencing factors and relationship between atmospheric environment and economic society. Using the panel data of 18 cities in Henan Province from 2006 to 2020, this paper employed some advanced econometric estimation included entropy method, extended environmental Kuznets curve (EKC) and STIRPAT model to conduct empirical estimations. The results show that most regions in Henan Province have verified the existence of the EKC hypothesis; and the peak of air pollution level in all cities of Henan Province generally occurred in around 2014. Multiple linear Ridge regression indicated that the positive driving forces of air pollution in most cities in Henan Province are industrial structure and population size; the negative driving forces are urbanization level, technical level and greening degree. Finally, we used the grey GM (1, 1) model to predict the atmospheric environment of Henan Province in 2025, 2030, 2035 and 2040. What should pay close attention to is that air pollution levels in northeastern and central Henan Province will continue to remain high.
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Affiliation(s)
- Yanqi Zhao
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
- Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo, 454100 China
- Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo, 454100 China
| | - Fan Li
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
| | - Ying Yang
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
| | - Yue Zhang
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
| | - Rongkun Dai
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
| | - Jianlin Li
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
- Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo, 454100 China
- Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo, 454100 China
| | - Mingshi Wang
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
- Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo, 454100 China
- Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo, 454100 China
| | - Zhenhua Li
- Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003 China
- Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo, 454100 China
- Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo, 454100 China
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Song J, Liu Z, Chen R, Leng X. Calculation and Allocation of Atmospheric Environment Governance Cost in the Yangtze River Economic Belt of China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4281. [PMID: 36901290 PMCID: PMC10001657 DOI: 10.3390/ijerph20054281] [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: 12/31/2022] [Revised: 02/21/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Atmospheric environment governance requires necessary cost input. Only by accurately calculating regional atmospheric environment governance cost and scientifically allocating it within a region can the operability and realization of the coordinated governance of the regional environment be ensured. Firstly, based on the consideration of avoiding the technological regression of decision-making units, this paper constructs a sequential SBM-DEA efficiency measurement model and solves the shadow prices of various atmospheric environmental factors, that is, their unit governance costs. Secondly, combined with the emission reduction potential, the total regional atmospheric environment governance cost can be calculated. Thirdly, the Shapley value method is modified to calculate the contribution rate of each province to the whole region, and the equitable allocation scheme of the atmospheric environment governance cost is obtained. Finally, with the goal that the allocation scheme based on the fixed cost allocation DEA (FCA-DEA) model converges with the fair allocation scheme based on the modified Shapley value, a modified FCA-DEA model is constructed to achieve the efficiency and fairness of the allocation of atmospheric environment governance cost. The calculation and allocation of the atmospheric environmental governance cost in the Yangtze River Economic Belt in 2025 verify the feasibility and advantages of the models proposed in this paper.
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Zeng W, Chen X, Dong H, Liu Y. Doing more with less: How to design a good subgroup governance model for the air pollution transport network in "2+26" cities of China? JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 327:116909. [PMID: 36463842 DOI: 10.1016/j.jenvman.2022.116909] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/08/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
Air pollution shares the attributes of significant spatial spillover effects and environmental public goods, leading to the territorial governance model that easily falls into a state of failure. Despite a growing number of studies on the local spatial spillover effect of air pollution, scant evidence currently exists on its global spatial association effect and a good subgroup governance model. Based on a panel data set of the daily prefecture-level city data on air quality measured by the air quality index (AQI) in "2 + 26" cities of China in 2015 and 2018, this study first builds an air pollution transport network (APTN), i.e., the cities as the nodes and the association relationships between the nodes as the edges. Furthermore, this paper reveals the spatial association effect and the temporal lagged attribute of the APTN using the Social network analysis (SNA) and the Generalized impulse response function (GIRF). The results are summarized as follows. (1) Every city has significant spatial association effects of air pollution with at least another city in the APTN, and northern APTN affects most to the air pollution of other cities, while southern APTN is obviously always affected by air pollution in other cities. (2) Transport strength peaks on the second day of an air pollution transport process, and the transport process lasts for 7-12 days. (3) The APTN is divided into four subgroups: Sycophants, Primary, Bidirectional, and Brokers, with Baoding, Zhengzhou, Heze, and Hengshui as the central cities of each group, respectively. Overall, our study provides a networked, modular, and early-warning governance model for policymakers.
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Affiliation(s)
- Wenxia Zeng
- School of Economics & Management, Xidian University, Xi'an, 710071, China
| | - Xi Chen
- School of Economics & Management, Xidian University, Xi'an, 710071, China.
| | - Huizhong Dong
- School of Management, Shandong University of Technology, Zibo, 255012, China
| | - Yanping Liu
- School of Business Administration, Guangdong University of Finance and Economics, Guangzhou, 510320, China
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Qu Y, Cang Y. Cost-benefit allocation of collaborative carbon emissions reduction considering fairness concerns-A case study of the Yangtze River Delta, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 321:115853. [PMID: 35994963 DOI: 10.1016/j.jenvman.2022.115853] [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: 04/28/2022] [Revised: 07/16/2022] [Accepted: 07/21/2022] [Indexed: 06/15/2023]
Abstract
As the country with the highest carbon emissions, the main focus of China has become carbon reduction. At present, the governance of carbon reduction is mainly based on the division of administrative regions, which leads to the governance inefficiency and high costs because of spatial spillover and regional mobility of carbon emissions. The need for collaborative governance to promote carbon reduction performance has been recognized. However, because of differences in both costs and benefits between developed and less developed regions, a clear cost and benefit allocation mechanism must be established first. Fairness is very important when all members are to actively participate in collaborative carbon emission reduction efforts. In this paper, one of the regions renowned for collaborative governance-the Yangtze River Delta region-is used as example, and a cost-benefit allocation mechanism is constructed that incorporates members' fairness concerns. The carbon emission efficiency, carbon reduction efforts, and total carbon emission amount are compared under two scenarios: a cost-sharing scenario and a centralized decision-making scenario. The results indicate that, compared with the centralized decision-making scenario, the cost-sharing scenario achieved greater regional carbon reduction efforts, a higher carbon emission efficiency, and more total emissions. Furthermore, under the cost-sharing scenario, in less developed regions, fairness concerns increase carbon emission efficiency and total carbon emissions. The fairness concern in developed regions reduces the profit proportion, while the fairness concern in less developed region increases the profit proportion. The impact of fairness concern on carbon reduction is stronger in developed regions.
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Affiliation(s)
- Ying Qu
- Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, China.
| | - Yaodong Cang
- Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, China.
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