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Spatial Panel Analysis of Ambient Air Pollution in Korea

Author

Listed:
  • Hyungsun Yim

    (University of Illinois at Urbana-Champaign)

  • Byeongseon Seo

    (Korea University)

Abstract

This study investigates the underlying drivers behind air quality pollution in Korea by using spatial panel analysis. Specifically, we consider the local and transboundary effects of economic, climatic, and geographical factors leading to the heightened presence of fine particulate matter (PM2.5). Furthermore, our study expands its scope beyond national boundaries to include an evaluation of external sources that contribute to elevated pollution levels within Korea. Consequently, this research adopts a multilevel approach to assess the within and outer factors of air pollution in Korea. Our analysis is based on a spatial panel dataset spanning all districts of Korea by incorporating satellite-based air pollution, meteorological, and geographic information for 2010–2016. Empirical results indicate that air pollution degrades the air quality in other cities and the overall national ambient pollution as well. Moreover, empirical results from the general nesting spatial (GNS) specification of spatial interaction suggest that the impacts of economic and climatic factors on air pollution are substantial. In addition, our analysis incorporates cross-country spatial effects of air pollution, which reveals a significant transboundary spillover effect. Furthermore, a deeper analysis of spatial heterogeneity underscores intriguing disparities in the impact estimates. Changes in domestic and foreign factors in the northwest region are linked to a more pronounced diffusion of pollution to multiple cities in contrast to the impacts originating from the southeast.

Suggested Citation

  • Hyungsun Yim & Byeongseon Seo, 2024. "Spatial Panel Analysis of Ambient Air Pollution in Korea," Korean Economic Review, Korean Economic Association, vol. 40, pages 255-287.
    • Handle: RePEc:kea:keappr:ker-20240701-40-2-02
    as

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    References listed on IDEAS

    as
    1. Hanna, Rema & Oliva, Paulina, 2015. "The effect of pollution on labor supply: Evidence from a natural experiment in Mexico City," Journal of Public Economics, Elsevier, vol. 122(C), pages 68-79.
    2. David Maddison, 2007. "Modelling sulphur emissions in Europe: a spatial econometric approach," Oxford Economic Papers, Oxford University Press, vol. 59(4), pages 726-743, October.
    3. Henderson, J. V., 1977. "Externalities in a spatial context : The case of air pollution," Journal of Public Economics, Elsevier, vol. 7(1), pages 89-110, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Air Pollution; GNS Model; PM2.5; Spatial Heterogeneity; Spillover Effects;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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