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Empirical analysis of the influential factors of haze pollution in china—Based on spatial econometric model

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  • Xiaohong Liu
  • Houxue Xia

Abstract

Based on spatial econometrics, this paper examines the impact of urbanization, coal consumption proportion, and traffic pressure on haze pollution and attempts to verify the environmental Kuznets curve hypothesis by using 30 provinces’ panel data in China from 2003 to 2015. The global Moran’s I index indicates the positive spatial correlation of haze pollution, and the local Moran’s I index indicates the clustering phenomenon of haze pollution in local regions. This model shows that haze pollution has spatial spillover effects in China. The relationship between urbanization and haze pollution is an inverse U-type curve, and the increase in coal consumption proportion and traffic pressure may enhance the degree of haze pollution. To govern China’s haze pollution, China should promote regional collaborative governance, expand urban afforestation areas, adopt green buildings, increase green elements, enhance ecological factors, optimize energy structure and implement energy substitution, and develop public traffic.

Suggested Citation

  • Xiaohong Liu & Houxue Xia, 2019. "Empirical analysis of the influential factors of haze pollution in china—Based on spatial econometric model," Energy & Environment, , vol. 30(5), pages 854-866, August.
    • Handle: RePEc:sae:engenv:v:30:y:2019:i:5:p:854-866
    DOI: 10.1177/0958305X18813648
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    References listed on IDEAS

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    1. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    2. Hubert Jayet & Julie Le Gallo & Luc Anselin, 2008. "Spatial Econometrics and Panel Data Models," Post-Print hal-02389412, HAL.
    3. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
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    Cited by:

    1. Liming Suo & Xue Li & Shuai Cao, 2023. "How governance boundaries affect regional collaboration on atmospheric governance—Evidence from China's Yangtze River Delta," Review of Policy Research, Policy Studies Organization, vol. 40(4), pages 509-533, July.
    2. Lingjun Guo & Yanran Liu, 2022. "Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach," SAGE Open, , vol. 12(2), pages 21582440221, June.

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