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Space-Time Dynamics of Regional Income and Air Pollution in China

Author

Listed:
  • Dominguez, Alvaro
  • Li, Jiaqi
  • Mendez, Carlos

Abstract

Relying on a novel satellite dataset, we examine the spatial distribution of air pollution, specifically PM2.5, and income across 285 Chinese prefectural and above-level cities. A static spatial dependence analysis reveals the locations of high-value clusters (hot spots) and low-value clusters (cold spots), highlighting a strong negative assosiation between income and air pollution. Then, through dynamic spatial clustering techniques, we study the intertemporal relationship between air pollution and income and find a polarization effect between different regions. Our integrated approach demonstrates how these analyses complement each other in identifying regions where policies to enhance air standards can improve the population's quality of life.

Suggested Citation

  • Dominguez, Alvaro & Li, Jiaqi & Mendez, Carlos, "undated". "Space-Time Dynamics of Regional Income and Air Pollution in China," AGI Working Paper Series 2024-03, Asian Growth Research Institute.
  • Handle: RePEc:agi:wpaper:02000084
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    References listed on IDEAS

    as
    1. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    2. Jalil, Abdul & Mahmud, Syed F., 2009. "Environment Kuznets curve for CO2 emissions: A cointegration analysis for China," Energy Policy, Elsevier, vol. 37(12), pages 5167-5172, December.
    3. Erwin Bulte & John A. List & Mark C. Strazicich, 2007. "Regulatory Federalism And The Distribution Of Air Pollutant Emissions," Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 155-178, February.
    4. Churchill, Sefa Awaworyi & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2018. "The Environmental Kuznets Curve in the OECD: 1870–2014," Energy Economics, Elsevier, vol. 75(C), pages 389-399.
    5. Gene M. Grossman & Alan B. Krueger, 1991. "Environmental Impacts of a North American Free Trade Agreement," NBER Working Papers 3914, National Bureau of Economic Research, Inc.
    6. Wu, Jian-Xin & He, Ling-Yun & Zhang, ZhongXiang, 2022. "On the co-evolution of PM2.5 concentrations and income in China: A joint distribution dynamics approach," Energy Economics, Elsevier, vol. 105(C).
    7. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    8. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    9. Herrerias, M.J., 2013. "The environmental convergence hypothesis: Carbon dioxide emissions according to the source of energy," Energy Policy, Elsevier, vol. 61(C), pages 1140-1150.
    10. Harry Aginta, 2022. "Spatiotemporal analysis of regional inflation in an emerging country: The case of Indonesia," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 667-688, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Air Pollution; China; Local Indicators of Spatial Association;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • P11 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Planning, Coordination, and Reform
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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