ORIGINAL RESEARCH
The Pollution Abatement Effect of Environmental Information Disclosure: Based on Quasi-Natural Experiments
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College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
 
2
Zhejiang Province Key Think Tank: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
 
 
Submission date: 2024-02-22
 
 
Final revision date: 2024-03-12
 
 
Acceptance date: 2024-04-13
 
 
Online publication date: 2024-05-27
 
 
Publication date: 2025-01-09
 
 
Corresponding author
Xingwang Zhu   

Zhejiang Province Key Think Tank: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
 
 
Pol. J. Environ. Stud. 2025;34(2):1269-1284
 
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ABSTRACT
Environmental information disclosure is an important exploration to promote corporate pollution abatement and the development of China’s green economy. Based on China’s environmental information disclosure policy implemented in 2007 as a quasi-natural experiment, this paper empirically tests whether it has a pollution abatement effect using Chinese industrial pollution emission data and industrial enterprise data from 2004-2014. It is found that environmental information disclosure has a significant pollution emission reduction effect, and the conclusion still holds after a series of robustness tests, including parallel trend tests, placebo tests, and instrumental variables tests. Meanwhile, environmental information disclosure reduces firms’ pollution emissions by promoting industrial structure upgrading, emission reduction technology progress, reducing FDI, and improving firms’ total factor productivity. Further analysis shows that the pollution emission reduction effect is more pronounced in non-resourcebased cities, coastal areas, areas with stronger environmental regulations, non-state enterprises, and exporting enterprises.
REFERENCES (42)
1.
XIE Q., XU X., LIU X. Is there an EKC between economic growth and smog pollution in China? New evidence from semiparametric spatial autoregressive models. *Journal of Cleaner Production*, 220, 873, 2019. <https://doi.org/10.1016/j.jcle...>.
 
2.
HAN X., SUN T., FENG Q. Study on environmental pollution loss measurement model of energy consumption emits and its application in industrial parks. *Science of the Total Environment*, 668, 1259, 2019. <https://doi.org/10.1016/j.scit...> PMid:31018465.
 
3.
SHAO S., ZHANG K., DOU J. Effects of Economic Agglomeration on Energy Saving and Emission Reduction: Theory and Empirical Evidence from China. *Management World*, 35 (01), 36, 2019.
 
4.
LIU Q., WANG S., ZHANG W., ZHAN D., LI J. Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective. *Science of the Total Environment*, 613, 521, 2018. <https://doi.org/10.1016/j.scit...> PMid:28923755.
 
5.
DONG W., ZHANG Z., LIU D. Effect of two‑way FDI synergy and regional technology innovation in environmental pollution. *China Population, Resources and Environment*, 31 (12), 71, 2021.
 
6.
ZHU D., LI H. Environmental effect of industrial agglomeration in China and its mechanism. *China Population, Resources and Environment*, 31 (12), 62, 2021.
 
7.
ZHENG W., ZHAO H., ZHAO M. Is the development of digital finance conducive to environmental pollution control? Concurrently discussing the regulatory impact of local resource competition. *Industrial Economics Research*, 1 (01), 1, 2022.
 
8.
SHEN J., WEI Y., YANG Z. The impact of environmental regulations on the location of pollution‑intensive industries in China. *Journal of Cleaner Production*, 148, 785, 2017. <https://doi.org/10.1016/j.jcle...>.
 
9.
YANG J., GUO H., LIU B., SHI R., ZHANG B., YE W. Environmental regulation and the pollution haven hypothesis: do environmental regulation measures matter? *Journal of Cleaner Production*, 202, 993, 2018. <https://doi.org/10.1016/j.jcle...>.
 
10.
SHEN Z., QU X. Research on pollution reduction effect of environmental regulation in China. *Statistics & Decision*, 38 (20), 59, 2022.
 
11.
AN J., YANG B., LIU X., ZHANG Y. Environmental regulation, green technology and environmental governance performance. *Statistics & Decision*, 38 (13), 184, 2022.
 
12.
YU B., JIN G., CHENG Z. Economic effects of environmental regulations: "emission reduction" or "efficiency enhancement". *Statistical Research*, 36 (02), 88, 2019.
 
13.
CAI X., LU Y., WU M., YU L. Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi‑natural experiment in China. *Journal of Development Economics*, 123, 73, 2016. <https://doi.org/10.1016/j.jdev...>.
 
14.
KONAR S., COHEN M.A. Information as regulation: The effect of community right‑to‑know laws on toxic emissions. *Journal of Environmental Economics and Management*, 32 (1), 109, 1997. <https://doi.org/10.1006/jeem.1...>.
 
15.
BENNEAR L.S., OLMSTEAD S.M. The impacts of the "right to know": Information disclosure and the violation of drinking water standards. *Journal of Environmental Economics and Management*, 56 (2), 117, 2008. <https://doi.org/10.1016/j.jeem...>.
 
16.
DELMAS M., MONTES‑SANCHO M.J., SHIMSHACK J.P. Information disclosure policies: Evidence from the electricity industry. *Economic Inquiry*, 48 (2), 483, 2010. <https://doi.org/10.1111/j.1465...>.
 
17.
GARCIA J.H., AFSAH S., STERNER T. Which firms are more sensitive to public disclosure schemes for pollution control? Evidence from Indonesia's PROPER program. *Environmental and Resource Economics*, 42 (2), 151, 2009. <https://doi.org/10.1007/s10640...>.
 
18.
WANG H., BI J., WHEELER D., WANG J., CAO D., LU G., WANG Y. Environmental performance rating and disclosure: China's GreenWatch program. *Journal of Environmental Management*, 71 (2), 123, 2004. <https://doi.org/10.1016/j.jenv...> PMid:15135947.
 
19.
POWERS N., BLACKMAN A., LYON T.P., NARAIN U. Does disclosure reduce pollution? Evidence from India's green rating project. *Environmental and Resource Economics*, 50, 131, 2011. <https://doi.org/10.1007/s10640...>.
 
20.
KATHURIA V. Public disclosures: Using information to reduce pollution in developing countries. *Environment, Development and Sustainability*, 11 (5), 955, 2009. <https://doi.org/10.1007/s10668...>.
 
21.
ZHANG Z. Public Participation, regulatory information disclosure and urban environmental governance – Based on panel data analysis of 35 key cities. *The Theory and Practice of Finance and Economics*, 42 (01), 109, 2021. <https://doi.org/10.18402/resci...> PMid:33179540 PMCid:PMC7671658.
 
22.
ZHANG M., SUN R. The Impact of information disclosure on enterprise's emission behavior from the perspective of environmental supervision. *Journal of China University of Geosciences (Social Sciences Edition)*, 20 (04), 60, 2020.
 
23.
TIAN S., XIA M., XU L. Environmental information disclosure, pollution and residents' health. *Journal of Anhui University (Philosophy and Social Sciences Edition)*, 44 (06), 145, 2020.
 
24.
YANG W., ZHAO J. Is Government Environmental Information Disclosure Conducive to Improvement of Ecological Environment Quality? *Business and Management Journal*, 40 (08), 5, 2018.
 
25.
HU Z., LI Y. Assessment of the pollution reduction effect of environmental information disclosure. *Statistical Research*, 37 (04), 59, 2020.
 
26.
LIU M., CHEN L. Effect of pollution emission reduction in the evaluation of environmental information disclosure. *China Population, Resources and Environment*, 30 (10), 53, 2020.
 
27.
ZHANG H., FENG F. Does informal environmental regulation reduce carbon emissions? Evidence from a quasi‑natural experiment of environmental information disclosure. *Research on Economics and Management*, 41 (08), 62, 2020.
 
28.
XIONG L., LONG H., ZHANG X., YU C., WEN Z. Can environmental information disclosure reduce air pollution? Evidence from China. *Frontiers in Environmental Science*, 11, 1126565, 2023. <https://doi.org/10.3389/fenvs....>.
 
29.
HE S., XU L., SHI D. How does environmental information disclosure affect carbon emissions? Evidence from China. *Environmental Science and Pollution Research*, 30 (41), 93998, 2023. <https://doi.org/10.1007/s11356...> PMid:37523081.
 
30.
YU S.M., XU L.L., DU P., QIN Z.H., ZHONG Q.Q., ZHAO T.J. The impact of air pollution on corporate environmental information disclosure – Evidence from heavy pollution industries in China. *Finance Research Letters*, 59, 104793, 2024. <https://doi.org/10.1016/j.frl....>.
 
31.
SHAO H.H., WANG Y.N. Effects of environmental information disclosure on pollution reduction and carbon emission reduction. *Resources Science*, 46 (1), 38, 2024. <https://doi.org/10.18402/resci...>.
 
32.
CHEN X. Environmental information disclosure, FDI and urban air pollution: evidence from the project of ambient air quality information disclosure in real time. *Statistical Research*, 40 (6), 77, 2023.
 
33.
DU Y.F. Environmental information disclosure, pollutant discharge and ecological civilization development. *Statistics & Decision*, 38 (21), 184, 2022.
 
34.
PAN X.W., FU W\.L. Environmental information disclosure and regional air quality: a quasi-natural experiment based on the PM2.5 monitoring. *Journal of Finance and Economics*, 48 (5), 110, 2022.
 
35.
HUANG X., SHU X., LI T. Analysis of the impact and mechanisms of environmental information disclosure on foreign direct investment. *World Economic Papers*, 1 (06), 80, 2023.
 
36.
FAN D., FU J. The impact of environmental information disclosure on enterprises' total factor productivity. *China Environmental Science*, 41 (07), 3463, 2021.
 
37.
ZHANG B., CHEN X., GUO H. Does central supervision enhance local environmental enforcement? Quasi-experimental evidence from China. *Journal of Public Economics*, 164, 70, 2018. <https://doi.org/10.1016/j.jpub...>.
 
38.
BRANDT L., VAN BIESEBROECK J., ZHANG Y. Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing. *Journal of Development Economics*, 97 (2), 339, 2012. <https://doi.org/10.1016/j.jdev...>.
 
39.
CHAKRABORTY P., CHATTERJEE C. Does environmental regulation indirectly induce upstream innovation? New evidence from India. *Research Policy*, 46 (5), 939, 2017. <https://doi.org/10.1016/j.resp...>.
 
40.
LU X., LIAN Y. Estimation of total factor productivity of industrial enterprises in China: 1999–2007. *China Economic Quarterly*, 11 (02), 541, 2012.
 
41.
JIANG T. Mediating effects and moderating effects in causal inference. *China Industrial Economics*, 5, 100, 2022.
 
42.
SHENG D., BU W. The usage of robots and enterprises' pollution emissions in China. *Journal of Quantitative & Technological Economics*, 39 (09), 157, 2022.
 
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ISSN:1230-1485
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