Polycentric governance in waste management: A mechanism analysis of actors’ behavior evolution at the community level

Xinyu Hao, Liang Dong, Guangfu Liu, Xiaoling Zhang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Citations (Scopus)

Abstract

Polycentric waste governance (PWG) is novel approach to handling the increasing waste by embracing broader stakeholders, compared to isolated public service. This paper sought to unpack the strategic coevolution mechanism of PWG's main stakeholders at community level by evolutionary game theory. Our findings highlighted that “Recycler” ultimately chooses active participation while “Community” and “Householder” are on the fence. In addition, the transmission effect existed in the interplays among three agents. Our modeling analysis also echoed the “tragedy of the commons” and market failure in the theoretical landscape of PWG. Thus, the countermeasures, including community engagement, public perception, innovative “Government-Market” cooperation mode, etc., deserved attention. Uncovering the ‘black box’ of the PWG model, an enhanced understanding of governance actors’ strategic evolution mechanism for improving the PWG theory is obtained thus far. The research findings would expect to enlighten the practice of PWG in reality, thereby mitigating the dilemma of “waste siege.” © 2023 Elsevier B.V.

Original languageEnglish
Article number106879
JournalResources, Conservation and Recycling
Volume191
Online published24 Jan 2023
DOIs
Publication statusPublished - Apr 2023

Funding

The second author (L.D.) thanks the support by National Natural Science Foundation, China (NSFC) , and the Dutch Research Council (NWO) : ‘Towards Inclusive Circular Economy: Transnational Network for Wise-waste Cities (IWWCs)’ NSFC-NOW [NSFC grant number 72061137071 ; NWO grant number 482.19.608 ], and the National Natural Science Foundation of China [grant number 41701636 ]. The corresponding author also thanks the support by the Research Grant Council of Hong Kong [grant numbers CityU 11271716].

Research Keywords

  • Community level
  • Polycentric governance
  • Strategy evolution, evolutionary game analysis
  • Waste management

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