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How does environmental information disclosure affect carbon emissions? Evidence from China

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Abstract

In the context of global carbon peak and carbon neutrality, the issue of how to effectively encourage enterprises to reduce their carbon emissions has drawn the attention of governments and scholars. This paper uses the difference-in-differences method and joint data (2003–2012) from Chinese industrial firm pollution database and Chinese industrial firm database to evaluate the impacts of environmental information disclosure on enterprises’ carbon emissions. We find that environmental information disclosure has a significant effect on enterprises’ carbon emission reduction. Moderating effect analysis finds that environmental regulations and punishment strengthen the role of environmental information disclosure in reducing carbon emissions, however, the moderating role of environmental punishment is limited. In addition, mechanism analysis show that environmental information disclosure can reduce carbon emissions by improving their energy structures and encouraging polluting enterprises to withdraw from the market.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Notes

  1. https://www.mee.gov.cn/gkml/zj/wj/200910/t20091022_172224.htm.

  2. The 113 pilot cities in the PITI report are detailed in Appendix Table 14.

  3. This paper calculates standard coal using coal, fuel oil, and gas. The formula of standard coal is as follows: \(\mathrm{energy}=\mathrm{mtx}*0.7143+\mathrm{rlyx}*1.4286+\mathrm{rqx}*1.2143\). “Mtx,” “rlyx,” and “rqx” refer to “coal,” “fuel oil,” and “gas,” respectively, and the coefficients in the formula refer to the standard coal coefficients of the relevant energy. The carbon emission formula is as follows:\(\mathrm{CO}2=\mathrm{smt}*1.9003+\mathrm{sry}*3.1705+\mathrm{srq}*2.1622\). The correlation coefficients in the formula refer to the coefficients of carbon emission of coal, fuel oil, and gas, respectively.

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Acknowledgements

This research is supported by the Collaborative Innovation Centter for Emissions Trading system Co-constructed by the Province and Ministry(Grant No. 23CICETS-ZD002), the Humanity and Social Science Youth Foundation of Ministry of Education of China (Grant No. 21YJC790043), the Major Project of Philosophical and Social Science Research in Hubei Universities (Grant No. 22ZD016), the Fundamental Research Funds for the Central Universities (Zhongnan University of Economics and Law: 2722023DK064) and the Fundamental Research Funds for Major project of Hunan Social Science Foundation (21ZDAJ006) .

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Contributions

Shi He: Supervision, Writing-Reviewing and Editing

Lulu Xu: Writing original draft preparation

Daqian Shi: Methodology, Software

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Correspondence to Daqian Shi.

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Appendix

Appendix

The source of data: the joint data (2003–2012) from Chinese industrial firm pollution database and Chinese industrial firm database.

Table 14

Table A1 113 pilot cities announced by PITI in 2008

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He, S., Xu, L. & Shi, D. How does environmental information disclosure affect carbon emissions? Evidence from China. Environ Sci Pollut Res 30, 93998–94014 (2023). https://doi.org/10.1007/s11356-023-28883-1

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