The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary game theory perspective

Zhen Wang , Jiazhen Huo , Yongrui Duan

Front. Environ. Sci. Eng. ›› 2020, Vol. 14 ›› Issue (2) : 29

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Front. Environ. Sci. Eng. ›› 2020, Vol. 14 ›› Issue (2) : 29 DOI: 10.1007/s11783-019-1208-2
RESEARCH ARTICLE
RESEARCH ARTICLE

The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary game theory perspective

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Abstract

• Punishments increase the participation probability of collectors and recyclers.

• Policy-sponsored incentives make collectors and recyclers to participate earlier.

• Recyclers are more sensitive to government punishments than collectors.

Because governments have introduced policies involving incentives and penalties to promote the recycling of plastic waste, it is important to understand the impact of such incentives and penalties on the willingness of stakeholders to participate. In this study, government is included as a player, alongside waste collectors and recyclers, in a tripartite evolutionary game model of plastic waste recycling. The study explores the evolutionary equilibrium and performs a simulation analysis to elucidate the effect of government incentives and penalties on the willingness of other players to participate in recycling. Three conclusions are drawn from this research. First, an increase in incentives or in penalties increases the probability that collectors and recyclers will participate in the recycling process. Second, policy support incentives encourage collectors and recyclers to participate in plastic waste recycling earlier than subsidy incentives do. Finally, recyclers are more sensitive than collectors to government-imposed penalties.

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Keywords

Plastic waste / Recycle / Reuse / Government incentives / Government penalties / Evolutionary game

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Zhen Wang, Jiazhen Huo, Yongrui Duan. The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary game theory perspective. Front. Environ. Sci. Eng., 2020, 14(2): 29 DOI:10.1007/s11783-019-1208-2

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