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Driving Mechanism for Multi-Level Governance of Domestic Waste Sorting Based on Social Network Analysis and Interpretative Structural Modeling

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  • Tiening Cui
  • Zhang Si

Abstract

Domestic waste sorting is an important link of grassroots social governance. Drawing on the theory of multi-level governance, this paper identifies 14 factors affecting the multi-level governance of domestic waste sorting, and combines social network analysis (SNA) with interpretative structural modeling (ISM) to quantify the key influencing factors, and their correlation mechanism. The results show that: (1) To form the management system for multi-level governance, it is necessary to nurture and construct a framework with government governance as the basis, the social capital as the driver, and the system self-organization as the operating mechanism. (2) The factors affecting multi-level governance can be divided into four layers: three factors, including regulatory support, belong to the bottom layer, and play a key role in the formation of the driving mechanism for multi-level governance; nine factors, including incentive measure, belong to the middle layer, and play a transitional role in the operation of the driving mechanism; three factors, namely, publicity and education, mutual trust, and practice of social norms, belong to the surface layer, and directly affect the driving mechanism for the multi-level governance of domestic waste sorting. Although the three surface layer factors clearly depend on the factors on the other layers, they exert the most direct impact on the construction and operation of the driving mechanism. The analysis results shed new light on how to study the driving mechanism for the multi-level governance of domestic waste sorting. Â JEL classification numbers: Q56.

Suggested Citation

  • Tiening Cui & Zhang Si, 2022. "Driving Mechanism for Multi-Level Governance of Domestic Waste Sorting Based on Social Network Analysis and Interpretative Structural Modeling," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(6), pages 1-7.
    • Handle: RePEc:spt:admaec:v:12:y:2022:i:6:f:12_6_7
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    References listed on IDEAS

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    1. Aijun Liu & Maurice Osewe & Huixin Wang & Hang Xiong, 2020. "Rural Residents’ Awareness of Environmental Protection and Waste Classification Behavior in Jiangsu, China: An Empirical Analysis," IJERPH, MDPI, vol. 17(23), pages 1-12, December.
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    4. Huajie Wang & Herong Gui & Chong Ren & Guijian Liu, 2021. "Factors Influencing Urban Residents’ Intention of Garbage Sorting in China: An Extended TPB by Integrating Expectancy Theory and Norm Activation Model," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
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    More about this item

    Keywords

    Waste sorting; Multi-level governance; Social network analysis (SNA); Interpretative structural modeling (ISM).;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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