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The impact of anti‐corruption on environmental governance efficiency in China: A study based on spatial effect

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  • Hui Hou
  • Siwei Yang
  • Minghao Zhang

Abstract

Anti‐corruption is an important initiative in China's national governance system. The existing literature usually studies the direct impact of corruption or anti‐corruption on China's environment, while few studies show the spatial correlation impact of anti‐corruption on China's environmental governance. This paper redefines anti‐corruption, uses panel data of 30 Chinese provinces and cities from 2005 to 2019, and empirically analyzes the impact of anti‐corruption on environmental governance efficiency in China using spatial Durbin model. The findings indicate that the direct effect of anti‐corruption on environmental governance efficiency is positive, indicating that increasing anti‐corruption efforts will help improve local environmental governance efficiency; indirect effect of anti‐corruption on environmental governance efficiency is negative, suggesting that due to the existence of “pollution heaven” effect, the strengthening of anti‐corruption in the local region will cause polluting industries to move from local region to neighboring regions, leading to serious environmental pollution in the neighboring regions, and then reducing environmental governance efficiency. The indirect effect of economic development, industrial structure, and economic openness are negative, while the indirect effect of urbanization rate and clean energy are positive. The findings of the study provide a theoretical basis and insight for governments at all levels to improve environmental governance efficiency through anti‐corruption.

Suggested Citation

  • Hui Hou & Siwei Yang & Minghao Zhang, 2023. "The impact of anti‐corruption on environmental governance efficiency in China: A study based on spatial effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4452-4465, December.
  • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:8:p:4452-4465
    DOI: 10.1002/mde.3963
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    as
    1. Torras, Mariano & Boyce, James K., 1998. "Income, inequality, and pollution: a reassessment of the environmental Kuznets Curve," Ecological Economics, Elsevier, vol. 25(2), pages 147-160, May.
    2. Candau, Fabien & Dienesch, Elisa, 2017. "Pollution Haven and Corruption Paradise," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 171-192.
    3. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    4. Lv, Zhike & Gao, Zhenya, 2021. "The effect of corruption on environmental performance: Does spatial dependence play a role?," Economic Systems, Elsevier, vol. 45(2).
    5. Al-Mulali, Usama & Ozturk, Ilhan, 2015. "The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region," Energy, Elsevier, vol. 84(C), pages 382-389.
    6. Wu, Haitao & Xia, Yufeng & Yang, Xiaodong & Hao, Yu & Ren, Siyu, 2021. "Does environmental pollution promote China's crime rate? A new perspective through government official corruption," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 292-307.
    7. Xu, Gang & Yano, Go, 2017. "How does anti-corruption affect corporate innovation? Evidence from recent anti-corruption efforts in China," Journal of Comparative Economics, Elsevier, vol. 45(3), pages 498-519.
    8. Yu, Yongze & Li, Ke & Duan, Shenglan & Song, Chenchen, 2023. "Economic growth and environmental pollution in China: New evidence from government work reports," Energy Economics, Elsevier, vol. 124(C).
    9. James LeSage & Matthew Dominguez, 2012. "The importance of modeling spatial spillovers in public choice analysis," Public Choice, Springer, vol. 150(3), pages 525-545, March.
    10. Zhou, Mengling & Wang, Bing & Chen, Zhongfei, 2020. "Has the anti-corruption campaign decreased air pollution in China?," Energy Economics, Elsevier, vol. 91(C).
    11. Damania, Richard & Fredriksson, Per G. & List, John A., 2003. "Trade liberalization, corruption, and environmental policy formation: theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 490-512, November.
    12. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    13. Dinda, Soumyananda & Coondoo, Dipankor & Pal, Manoranjan, 2000. "Air quality and economic growth: an empirical study," Ecological Economics, Elsevier, vol. 34(3), pages 409-423, September.
    14. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    15. Rahman, Mohammad Mafizur & Alam, Khosrul, 2021. "Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh," Renewable Energy, Elsevier, vol. 172(C), pages 1063-1072.
    16. Eric Avis & Claudio Ferraz & Frederico Finan, 2018. "Do Government Audits Reduce Corruption? Estimating the Impacts of Exposing Corrupt Politicians," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1912-1964.
    17. Ren, Yi-Shuai & Ma, Chao-Qun & Apergis, Nicholas & Sharp, Basil, 2021. "Responses of carbon emissions to corruption across Chinese provinces," Energy Economics, Elsevier, vol. 98(C).
    18. Lopez, Ramon & Mitra, Siddhartha, 2000. "Corruption, Pollution, and the Kuznets Environment Curve," Journal of Environmental Economics and Management, Elsevier, vol. 40(2), pages 137-150, September.
    19. Hosseini, Hossein Mirshojaeian & Kaneko, Shinji, 2013. "Can environmental quality spread through institutions?," Energy Policy, Elsevier, vol. 56(C), pages 312-321.
    20. Cole, Matthew A., 2007. "Corruption, income and the environment: An empirical analysis," Ecological Economics, Elsevier, vol. 62(3-4), pages 637-647, May.
    21. Dong, Bin & Torgler, Benno, 2013. "Causes of corruption: Evidence from China," China Economic Review, Elsevier, vol. 26(C), pages 152-169.
    22. Farzin, Y. Hossein & Bond, Craig A., 2006. "Democracy and environmental quality," Journal of Development Economics, Elsevier, vol. 81(1), pages 213-235, October.
    23. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    24. Qu, Guangjun & Sylwester, Kevin & Wang, Feng, 2018. "Anticorruption and growth: Evidence from China," European Journal of Political Economy, Elsevier, vol. 55(C), pages 373-390.
    25. Panayotou, Theodore, 1997. "Demystifying the environmental Kuznets curve: turning a black box into a policy tool," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 465-484, November.
    26. Biswas, Amit K. & Farzanegan, Mohammad Reza & Thum, Marcel, 2012. "Pollution, shadow economy and corruption: Theory and evidence," Ecological Economics, Elsevier, vol. 75(C), pages 114-125.
    27. Goel, Rajeev K & Nelson, Michael A, 1998. "Corruption and Government Size: A Disaggregated Analysis," Public Choice, Springer, vol. 97(1-2), pages 107-120, October.
    28. Maurizio Lisciandra & Carlo Migliardo, 2017. "An Empirical Study of the Impact of Corruption on Environmental Performance: Evidence from Panel Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 297-318, October.
    29. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    30. Friedl, Birgit & Getzner, Michael, 2003. "Determinants of CO2 emissions in a small open economy," Ecological Economics, Elsevier, vol. 45(1), pages 133-148, April.
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