Research on the Reverse-Supply-Chain Optimization of Agricultural Waste Based on an Evolutionary Game

Wei Shi, Sanger Ni () and Kejun Lin ()
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Wei Shi: School of Economics and Management, Zhejiang Ocean University, No. 1 Lincheng Road, Zhoushan 316022, China
Sanger Ni: School of Economics and Management, Zhejiang Ocean University, No. 1 Lincheng Road, Zhoushan 316022, China
Kejun Lin: School of Economics and Management, Zhejiang Ocean University, No. 1 Lincheng Road, Zhoushan 316022, China

Sustainability, 2025, vol. 17, issue 7, 1-21

Abstract: The irrational disposal of agricultural waste harms the interests of the main bodies of the related supply chain while seriously jeopardizing the environment. To a certain extent, the reverse supply chain (RSC) of agricultural waste can provide more high-quality resources for agricultural production and promote the green development of agricultural production. Therefore, RSC optimization is of great significance to the sustainable development of agriculture. We constructed an evolutionary game model of agricultural waste recyclers and reprocessing enterprises for agricultural waste. The stability of mixed strategies was analyzed using a Jacobi matrix, and evolutionary paths under varying parameter ranges were simulated using MATLAB. The simulation results show that in the early stage of RSC optimization, government subsidies to reprocessing enterprises and increased subsidies for agricultural waste recyclers are conducive to a more stable agricultural waste reverse-recycling market. When the agricultural waste reverse-recycling market reaches a certain scale, the government should gradually reduce subsidies, effectively preventing enterprises from being overly reliant on them. This study not only offers a decision-making foundation for agricultural waste recyclers and agricultural waste reprocessing enterprises to make optimal strategic choices but also serves as a reference for the government in formulating appropriate policies.

Keywords: agricultural waste; reverse supply chain; evolutionary game; supply chain optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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