%0 Journal Article
%T TOE视域下政府环境信息公开的影响路径——基于中国城市的模糊集定性比较分析<br>The Influence Path of Government Environmental Information Disclosure under the TOE Perspective—Based on fsQCA in Chinese Cities
%A 周可嘉
%J Advances in Social Sciences
%P 6537-6545
%@ 2169-2564
%D 2023
%I Hans Publishing
%R 10.12677/ASS.2023.1211894
%X 随着数字经济的到来及生态文明建设理念的推广，环境信息披露成为环境管理领域的重大制度创新。不仅要求企业自主披露环境信息，政府作为国家领导部门，更应积极公开环境数据，提高民生服务水平。基于技术–组织–环境(TOE)框架，本文利用模糊集定性比较分析(fsQCA)对118个中国环保重点城市环境信息公开的生成逻辑与模式进行研究。结果表明：1) 技术、组织及环境因素均不是导致政府高水平环境信息公开的必要条件，单因素的解释力度有限；2) fsQCA结果产生4种可解释环境信息公开的组态：组织主导型、组织–环境驱动型、内外耦合型及技术–环境驱动型。研究结果能够为政府优化相关政策、提高服务水平提供启示。<br />
With the arrival of the digital economy and the promotion of the concept of ecological civilization construction, environmental information disclosure has become a major institutional innovation in the field of environmental management. Not only firms are required to disclose environmental information independently, but also the government, as the leading department of the country, should actively disclose environmental data to improve the service level of people’s livelihood. Based on the Technology-Organization-Environment (TOE) framework, this paper utilizes fuzzy-set qualitative comparative analysis (fsQCA) to study the influence path of environmental information disclosure in 118 key Chinese environmental protection cities. The results show that: 1) Technological, organizational, and environmental factors are not necessary to cause a high level of environmental information disclosure, and the explanatory power of a single factor is limited; 2) The results of fsQCA produce four interpretable configurations: organization-dominated driven, organization-environment combined driven, internal-external coupled driven, and technology-environment combined driven. The results of the study can provide insights for the government to optimize relevant policies and improve service levels.
%K 环境信息公开，TOE理论，PITI指数，组态模式，模糊集定性比较分析<br>Environmental Information Disclosure
%K TOE Theory
%K PITI Index
%K Configuration Mode
%K Fuzzy-Set Qualitative Comparative Analysis (fsQCA)
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=76019