School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
School of Electronics and Information, Zhenjiang College, Zhenjiang 212028, China.
Int J Environ Res Public Health. 2023 Jan 9;20(2):1149. doi: 10.3390/ijerph20021149.
The distributivity and complexity of separation facilities in waste separation cooperation are incorporated into the factors influencing the payoff of waste separation cooperation. The game payment matrix of waste separation cooperation is constructed based on the distributivity and complexity of separation facilities. The equilibrium solution of waste separation cooperation is obtained through the evolutionary game. The influence of different changes in distributivity and complexity of separation facilities on the willingness to cooperate in waste separation is explored through numerical analysis of cases. The study shows that when the distributivity of separation facilities is certain, the lower the complexity of separation facilities, the higher the willingness of residents and enterprises to cooperate; when the complexity of separation facilities is certain, the willingness of residents and enterprises to cooperate rises and then falls with the increase of distributivity of separation facilities; finally, when the distributivity and complexity of separation facilities change at the same time, the willingness of residents and enterprises to cooperate shows different changes with the different changes of two separation facilities convenience factors.
将分离设施的分布性和复杂性纳入到影响垃圾分离合作收益的因素中。基于分离设施的分布性和复杂性,构建垃圾分离合作的博弈支付矩阵。通过进化博弈得到垃圾分离合作的均衡解。通过案例数值分析,探讨不同变化的分离设施分布性和复杂性对垃圾分离合作意愿的影响。研究表明,当分离设施的分布性一定时,分离设施的复杂性越低,居民和企业的合作意愿越高;当分离设施的复杂性一定时,居民和企业的合作意愿随分离设施分布性的增加先升后降;最后,当分离设施的分布性和复杂性同时变化时,居民和企业的合作意愿随两个分离设施便利性因素的不同变化而呈现出不同的变化。