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Simulating the Effect of Mixed Subsidy Policies on Urban Low-Value Recyclable Waste in China: A System Dynamics Approach

Author

Listed:
  • Dongshi Sun

    (School of Information and Business Management, Dalian Neusoft University of Information, Dalian 116023, China)

  • Danlan Xie

    (Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou 311599, China)

  • Peng Jiang

    (School of Business, Shandong University, Weihai 264209, China)

  • Jingci Xie

    (School of Management, Shandong University, Jinan 250100, China)

  • Yang Xu

    (School of Information and Business Management, Dalian Neusoft University of Information, Dalian 116023, China)

  • Yining Ren

    (School of Business, Shandong University, Weihai 264209, China)

Abstract

Low-value recyclable waste accounts for a large portion of urban waste output in many modern cities. The improper management and disposal of LVRW result in environmental pollution and a waste of resources. Given the characteristics of a high recovery cost and low recovery income of low-value recyclables, it is difficult to obtain a satisfactory waste disposal effect by completely relying on the market mechanism. It is thus necessary for the government to implement effective subsidies for multiple subjects in the urban waste recycling system (UWRS). This study examines the independent roles of four subsidy policies—subsidy to the third-party waste disposal institutions, subsidy to a state-owned waste disposal institution, R&D subsidy for green technology, and subsidy for government publicity—and develops a system dynamics model to verify the performance of the UWRS under different combinations of subsidy-based policies under multiple scenarios. Data on urban waste disposal for Guangzhou from 2019 and 2020 were used to validate and simulate the model. A sensitivity analysis of the main exogenous variables was carried out, and the conclusions are as follows: (1) On the premise of a fixed subsidy capital pool, a mixed subsidy policy produced the best impact on the UWRS. (2) The total subsidy needed to reach a certain threshold; otherwise, the mixed subsidy policy did not improve the UWRS. The total subsidy produced diminishing returns once it had exceeded the threshold. (3) Appropriately reducing subsidies for the third-party waste disposal institutions within a reasonable range does not affect the performance of the UWRS. (4) The effect of government publicity has short-term advantages, while the long-term potential of green technology is greater. Multi-agent coordination and the guidance of the market mechanism are important priorities in the design of subsidy-based policies. In addition, the trade-off between subjects needs attention, and a plan for mixed subsidy policies needs to be designed and implemented according to the response periods of different policies. The research here provides theoretical support for the government for designing subsidy-based policies.

Suggested Citation

  • Dongshi Sun & Danlan Xie & Peng Jiang & Jingci Xie & Yang Xu & Yining Ren, 2021. "Simulating the Effect of Mixed Subsidy Policies on Urban Low-Value Recyclable Waste in China: A System Dynamics Approach," IJERPH, MDPI, vol. 18(20), pages 1-24, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10636-:d:653499
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    References listed on IDEAS

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    1. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    2. Struk, Michal, 2017. "Distance and incentives matter: The separation of recyclable municipal waste," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 155-162.
    3. Spengler, Th. & Puchert, H. & Penkuhn, T. & Rentz, O., 1997. "Environmental integrated production and recycling management," European Journal of Operational Research, Elsevier, vol. 97(2), pages 308-326, March.
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    1. Chen Liang & Dongshi Sun & Danlan Xie, 2023. "Identifying Waste Supply Chain Coordination Barriers with Fuzzy MCDM," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Xinyang Xu & Yang Yang, 2022. "Analysis of the Dilemma of Promoting Circular Logistics Packaging in China: A Stochastic Evolutionary Game-Based Approach," IJERPH, MDPI, vol. 19(12), pages 1-22, June.

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