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Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province

Author

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  • Liang Zhao

    (Tourism School, Hubei University, Wuhan 430062, China)

  • Liangyu Chen

    (School of Tourism and Hospitality Management, Wuhan City Polytechnic, Wuhan 430064, China)

Abstract

Government environmental information disclosure is an important means to promote environmental supervision and law enforcement, and improve the level of environmental management. In order to explore the impact of government environmental information disclosure on the sustainability of urban economic growth, this paper uses the Pollution Information Transparency Index (PITI) to measure the degree of government environmental information disclosure, studies its effect on green total factor productivity through two-way fixed effect model and systematic GMM estimation method, and further adopts threshold model to study whether there is heterogeneity in this effect. The results show that: (1) Each unit of government environmental information disclosure will increase green total factor productivity by 0.2 units. (2) Considering the endogeneity, the promotion of government environmental information disclosure to green total factor productivity has increased. (3) The degree of government environmental information disclosure plays a non-linear role in the path of green total factor productivity. The greater the degree of economic development, the more obvious the effect of government environmental information disclosure on green total factor productivity. Therefore, this paper believes that the government should strengthen the disclosure of environmental information based on the urban economic development to ensure the sustainability of urban economic development.

Suggested Citation

  • Liang Zhao & Liangyu Chen, 2022. "Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province," IJERPH, MDPI, vol. 19(2), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:729-:d:721305
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    as
    1. Fei Fan & Shangze Dai & Keke Zhang & Haiqian Ke, 2021. "Innovation agglomeration and urban hierarchy: evidence from Chinese cities," Applied Economics, Taylor & Francis Journals, vol. 53(54), pages 6300-6318, November.
    2. Fei Fan & Huan Lian & Song Wang, 2020. "Can regional collaborative innovation improve innovation efficiency? An empirical study of Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(1), pages 440-463, March.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Baogui Xin & Yongmei Qu, 2019. "Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China," IJERPH, MDPI, vol. 16(13), pages 1-15, July.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Bennear, Lori S. & Olmstead, Sheila M., 2008. "The impacts of the "right to know": Information disclosure and the violation of drinking water standards," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 117-130, September.
    7. Shuai Liu & Fei Fan & Jianqing Zhang, 2019. "Are Small Cities More Environmentally Friendly? An Empirical Study from China," IJERPH, MDPI, vol. 16(5), pages 1-16, February.
    8. Mingliang Zhao & Fangyi Liu & Wei Sun & Xin Tao, 2020. "The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    9. Xingming Li & Pengfei Shi & Yazhi Han & Aimin Deng & Duan Liu, 2020. "Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    10. Song Wang & Jiexin Wang & Chenqi Wei & Xueli Wang & Fei Fan, 2021. "Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1330-1360, September.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Jian-qing Zhang & Tingting Chen & Fei Fan & Song Wang, 2018. "Empirical research on time-varying characteristics and efficiency of the Chinese economy and monetary policy: evidence from the MI-TVP-VAR model," Applied Economics, Taylor & Francis Journals, vol. 50(33), pages 3596-3613, July.
    13. Evans, Mary F. & Gilpatric, Scott M. & Liu, Lirong, 2009. "Regulation with direct benefits of information disclosure and imperfect monitoring," Journal of Environmental Economics and Management, Elsevier, vol. 57(3), pages 284-292, May.
    14. Mark Cohen & V. Santhakumar, 2007. "Information Disclosure as Environmental Regulation: A Theoretical Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(3), pages 599-620, July.
    15. Jean‐Philippe Boussemart & Walter Briec & Kristiaan Kerstens & Jean‐Christophe Poutineau, 2003. "Luenberger and Malmquist Productivity Indices: Theoretical Comparisons and Empirical Illustration," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 391-405, October.
    16. Chambers, Robert G. & Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity Growth in APEC Countries," Working Papers 197843, University of Maryland, Department of Agricultural and Resource Economics.
    17. David F. Bradford & Wallace E. Oates, 1971. "The Analysis of Revenue Sharing in a New Approach to Collective Fiscal Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 85(3), pages 416-439.
    18. H Fukuyama & W L Weber, 2009. "Estimating indirect allocative inefficiency and productivity change," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1594-1608, November.
    19. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
    20. Zhengwen Wang & Yunxiao Zong & Yuwan Dan & Shi-Jie Jiang, 2021. "Country risk and international trade: evidence from the China-B&R countries," Applied Economics Letters, Taylor & Francis Journals, vol. 28(20), pages 1784-1788, November.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    6. Xiaowei Ding & Lyu Ye & Yueying Yang & Olga Efimova & Alina Steblyanskaya & Junfeng Zhang, 2022. "The Impact Mechanism of Environmental Information Disclosure on Corporate Sustainability Performance—Micro-Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, September.

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