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The effect of corruption on environmental performance: Does spatial dependence play a role?

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  • Lv, Zhike
  • Gao, Zhenya

Abstract

Different from previous studies that mainly focused on conventional estimation techniques, this paper explores the role of spatial dependence in the effect of corruption on environmental performance by using a spatial panel data model. Our results show that the direct effects, indirect effects and total effects of corruption on environmental performance are negative and highly significant, implying that corruption is detrimental to environmental performance. More importantly, we find that there is a significant spatial spillover effect between corruption and environmental performance, namely being surrounded by highly corrupt countries has a negative impact on the local country’s environmental performance. Our results also suggest that a larger population density will worsen the environment, while urbanization has a significant positive impact. These results provide some important implications for policymakers seeking to improve their environmental performance.

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  • Lv, Zhike & Gao, Zhenya, 2021. "The effect of corruption on environmental performance: Does spatial dependence play a role?," Economic Systems, Elsevier, vol. 45(2).
    • Handle: RePEc:eee:ecosys:v:45:y:2021:i:2:s0939362520300807
    DOI: 10.1016/j.ecosys.2020.100773
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    5. Jun Gao & Ning Xu & Ju Zhou, 2023. "Innovative City Construction and Urban Environmental Performance: Empirical Evidence from China," Sustainability, MDPI, vol. 15(12), pages 1-22, June.

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