On what could chinese mining enterprises achieve high-level environmental performance?—based on the fsqca method

Zhengjie Gao;大一 何;Shuaifang Niu

School of Economics and Management;Ministry of Land and Resources P.R.C.

发表时间:2021-7-2

期 刊:International Journal of Environmental Research and Public Health

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=85109071151&partnerID=8YFLogxK

摘要

Enterprise environmental performance has causal complexity. The purpose of this paper is to discover the possible combination of conditions for enterprises to achieve high environmental performance. Based on the resource dependence theory, stakeholder theory, and externality theory, this paper constructs the theoretical framework of enterprise environmental performance evaluation and applies the fsQCA method to study the major influencing factors and mechanism of the environmental performance of listed enterprises in the Chinese mining industry. Based on the data from 2016 to 2019, the results show that there are four configurations of multiple factors leading to high environmental performance. Based on these configurations, three possible paths, internally driven, internally–externally driven, and externally driven, are established to improve environmental performance. Further, we also find that, between profitability and government regulation and between enterprise size and board independence are interchangeable condition variables; public attention outweighs other factors for Chinese mining enterprises. Countermeasures and suggestions from perspectives of government supervision, public concern, and enterprise internal governance are proposed at the end the study.

关键词

Chinese mining industry
Configurational analysis
Enterprise environmental performance
FsQCA method

相关科学

环境科学
健康、毒理学和突变
污染
医学
公共卫生、环境和职业健康

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005 0.108
2006 0.164 0.145
2007 0.309 0.326
2008 0.328 0.46
2009 0.298 0.56
2010 0.393 0.782
2011 2 0.581 0.862
2012 3.2 0.732 1.192
2013 3.4 0.849 1.347
2014 2.9 0.918 1.39
2015 2.7 0.909 1.118
2016 3.1 0.853 1.078
2017 3.2 0.735 1.031
2018 3.1 0.818 1.19
2019 3 0.739 1.223
2020 3.4 0.747 1.356
2021 3.5

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