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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Environmental Scienc...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Environmental Science and Pollution Research
Article . 2021 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Does government information transparency contribute to pollution abatement? Evidence from 264 Chinese cities

Authors: Liying Song; Jun Jing; Zheming Yan; Chuanwang Sun;

Does government information transparency contribute to pollution abatement? Evidence from 264 Chinese cities

Abstract

Government information transparency is taken as a prominent instrument of environmental regulation in Chinese cities, especially in the current digital age. However, polluters' strategic emission and production behaviors across cities, confronted with changing information disclosure level, might make the policy's effect unexpected in practice. While many existing studies have explored the impact of institutions on pollution, government information disclosure only attracted little attention from empirical studies. Using the method framework of the spatial Durbin model, this study empirically investigates the impact of government information transparency on sulfur dioxide emissions with samples of 264 Chinese cities from 2005 to 2012. We find that a city's government information transparency negatively relates to its local emission level of sulfur dioxide. Moreover, a city's sulfur dioxide emissions positively relate to its neighboring cities' government information transparency levels. The further calculations of marginal effects show that the average of such a direct and local impact of government information transparency outweighs the average indirect effect a city receives from its neighboring cities, making government information transparency benefits to pollution abatement in total.

Related Organizations
Keywords

Air Pollutants, China, Air Pollution, Government, Sulfur Dioxide, Cities, Environmental Pollution

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
bronze