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2019 Vol.28, Issue 3

Research Paper

An Analysis of the Causes of Fine Dust in Korea Considering Spatial Correlation

한국의 미세먼지 발생요인 분석: 공간계량모형의 적용

강희찬*

Heechan Kang*

*인천대학교 경제학과, 부교수, 교신저자(e-mail: henrykang@inu.ac.kr)
*Associate professor, Department of Economics of Incheon National Univerisity, Corresponding author(e-mail: henrykang@inu.ac.kr)
30 September 2019. pp. 327~354
PDF Citation
Abstract
In this paper, we conducted panel data analysis considering spatial correlation between regions, which were not considered in previous papers in analyzing the causes of fine dust concentration in Korea. Many existing researchers implicitly assume the independence of the effects of incomes and other explanatory variables of adjoining countries(or regions). Using panel data on fine dust concentration, this paper has established that existing EKC can be established even when considering the spatial correlation of the region, and when these effects are not taken into account, it can be underestimated or overestimated on the effects and causes of fine dust concentration.
Keywords
Spatial correlation
PM10 concentration
Environmental Kuznets Curve
Spatial Durbin Model
본 논문에서는 한국의 미세먼지 발생원인을 분석하는 과정에서 기존 논문에서는 고려하지 않았던 지역 간 공간상관성(Spatial correlation)을 고려한 패널계량분석을 진행하였다. 기존 환경쿠즈네츠곡선(EKC, Environmental Kuznets Curve)에 대한 연구들에서, 인접한 국가 및 지역 간에 오염물질의 상호영향이 존재할 가능성이 있음에도 각 유닛이 독립이라고 가정한다. 본 논문에서는 한국의 미세먼지농도에 대한 지역 패널데이터를 이용하여 기존 EKC가 지역의 상호상관성을 고려하는 때도 성립할 수 있으며, 이러한 영향을 고려하지 않았을 때 미세먼지농도의 원인에 대해 과소 혹은 과대 추정될 수 있음을 규명하였다.
키워드
미세먼지
공간계량모형
공간상관성
환경쿠즈네츠곡선가설
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Information
  • Publisher :Environmental and Resource Economics Review
  • Publisher(Ko) :자원 · 환경경제연구
  • Journal Title :자원·환경경제연구
  • Journal Title(Ko) :Environmental and Resource Economics Review
  • Volume : 28
  • No :3
  • Pages :327~354
  • DOI :https://doi.org/10.15266/KEREA.2019.28.3.327
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