Journal of Northeastern University(Social Science) ›› 2021, Vol. 23 ›› Issue (3): 62-70.DOI: 10.15936/j.cnki.1008-3758.2021.03.009

• Politics and Public Management • Previous Articles     Next Articles

Research on Government Public Opinion Governance Evaluation Based on WSR Methodology

YANG Yangyang, XIE Xuemei   

  1. (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)
  • Published:2021-05-21
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Abstract: Public opinion governance is a complex system, which involves many factors such as external economic conditions, internal organizational efficiency, software and hardware resources, personnel quality and so on. Based on WSR methodology and PSR model, this study constructs an analysis framework of government public opinion governance evaluation status from the physical, event and human (Wuli-Shili-Renli) perspectives. This paper uses the combination of gray correlation method and entropy method to determine the weight coefficient of the index, and obtains the comprehensive score of the government public opinion governance evaluation of 31 provinces in China. It is found that the physical(Wuli) dimension and the human(Renli) dimension are the key indicators that affect the governance level of government public opinion. At present, the overall level of government public opinion governance is not high, the governance level of every region is uneven, and there are obvious differences between regions. The government should build the mechanism of sharing resources, information, and talents, and optimize the allocation of regional resources. It should build a linkage mechanism for government public opinion governance and improve the efficiency of government organizations. It also needs to build a regional demonstration driving mechanism to improve the overall level of government public opinion governance.

Key words: government public opinion governance; public opinion governance evaluation; Wuli-Shili-Renli(WSR) methodology; pressure-state-response(PSR) model

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