Factor analysis and policy simulation of domestic waste classification behavior based on a multiagent study—Taking Shanghai's garbage classification as an example |
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| Institution: | 1. School of Economics and Management, Tongji University, Shanghai, 200092, China;2. School of Public Administration and Policy, Shandong University of Finance and Economic, Jinan, 250014, China;3. School of Management Engineering, Shandong Jianzhu University, Jinan, 250101, China;1. School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;2. Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery, Shanghai Jiao Tong University, Shanghai, 200240, China;3. School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, 200030, China;4. Institute for Sustainable Resources, Bartlett School of Environment, Energy and Resources, University College London, Central House, 14 Upper Woburn Place, London, WC1H 0NN, United Kingdom;5. School of Business, Qingdao University, Qingdao, Shandong, 266071, China;6. Faculty of Science and Engineering, Saga University, Saga, 8408502, Japan;1. College of Management, Xi''an University of Finance and Economics, Xi''an, 710100, China;2. College of Economics and Management, Northwest A&F University, Yangling, 712100, China;1. State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China;2. Key Laboratory for Solid Waste Management and Environment Safety (Tsinghua University), Ministry of Education of China, Tsinghua University, Beijing 100084, China;1. School of Management, Jiangsu University, Zhenjiang, 212013, China;2. School of Business, Nanjing University of Information Science and Technology, Nanjing, 210044, China;3. Institute for Environment and Health, Nanjing University of Information Science and Technology, Nanjing, 210044, China |
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| Abstract: | Sorting garbage and recycling renewable resources is a new and effective means to address the “garbage siege.” To examine residents' classification behaviors and scientifically assess effects of policies, this study comprehensively analyzes factors influencing residents' classification behavior at the government, resident and societal dimensions and construct multiagent decision-making functions and an interaction model by Anylogic platform. The empirical results show publicity and education have the most significant impacts on classification behavior followed by classification infrastructure and subjective norms. The simulation results show publicity and education, charging policies and government subsidies significantly transform unclassified residents into classified residents and all three approaches double rates of classification behavior. From perspectives of multisubject interaction and multicenter governance, this study analyzes motivations behind classification behavior from a micro level and quantifies effects of policies from a macro level, providing a common research method and paradigm that can be used in behavior research and policy formulation. |
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