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• W3136558645 endingPage "112386" @default.
• W3136558645 startingPage "112386" @default.
• W3136558645 abstract "Environmental Information Disclosure (EID) is a new tool for environmental governance in the era of big data and information. Based on the Pollution Information Disclosure Index (PITI) of 120 cities in China from 2003 to 2019, spatial data exploratory analysis and dynamic spatial panel model were adopted to analyze the spatial-temporal evolution characteristics and influencing factors of EID in China. The results show that (1) great progress of China's EID has been made in legislation and practice and its ways and channels are gradually becoming diversified, while it is accompanied by the problem of inadequate and unbalanced development; (2) EID shows the “superposition effect” promoted by previous accumulation has the “peer effect” of mutual imitation and learning and presents “demonstration effect”, which shows significant agglomeration distribution pattern of spatial “club”, while the spillover effect within the region is significant while the radiation effect between regions is weak. (3) In a dynamic process, cities with better economic development, firm performance, environmental performance and regulation, disclosure more environmental information, while the role of government competition and public participation needs further discussion. (4) Negative factors have a great influence during the economic crisis, while positive factors play a significant role in promoting the disclosure of environmental information during the economic expansion after crises. Cities in the developed regions (coastal, east and large cities) disclosure more than developing regions (inland, west, and small cities), and the positive factors are more likely to take effect." @default.
• W3136558645 created "2021-03-29" @default.
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• W3136558645 date "2021-06-01" @default.
• W3136558645 modified "2023-10-18" @default.
• W3136558645 title "The developing trends and driving factors of environmental information disclosure in China" @default.
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• W3136558645 doi "https://doi.org/10.1016/j.jenvman.2021.112386" @default.
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