Estimating the provincial environmental Kuznets curve in China: a geographically weighted regression approach
- 주제(키워드) China , Economic growth , Environmental Kuznets curve , Environmental performance , Geographically weighted regression
- 주제(기타) Engineering, Environmental; Engineering, Civil; Environmental Sciences; Statistics & Probability; Water Resources
- 설명문(일반) [Kim, Yoomi] Seoul Natl Univ, Asia Ctr, 1 Gwanak Ro, Seoul 08826, South Korea; [Tanaka, Katsuya] Shiga Univ, Res Ctr Sustainabil & Environm, 1-1-1 Bamba, Hikone, Shiga 5228522, Japan; [Ge, Chazhong] Chinese Acad Environm Planning, 8 Dayangfang BeiYuan Rd, Beijing 100012, Peoples R China
- 등재 SCIE, SCOPUS
- 발행기관 SPRINGER
- 발행년도 2018
- URI http://www.dcollection.net/handler/ewha/000000160525
- 본문언어 영어
- Published As http://dx.doi.org/10.1007/s00477-017-1503-z
초록/요약
This study estimates the environmental Kuznets curve (EKC) relationship at the province level in China. We apply empirical methods to test three industrial pollutants-SO2 emission, wastewater discharge, and solid waste production-in 29 Chinese provinces in 1994-2010. We use the geographically weighted regression (GWR) approach, wherein the model can be fitted at each spatial location in the data, weighting all observations by a function of distance from the regression point. Hence, considering spatial heterogeneity, the EKC relationship can be analyzed region-specifically through this approach, rather than describing the average relationship over the entire area examined. We also investigate the spatial stratified heterogeneity to verify and compare risk factors that affect regional pollution with statistical models. This study finds that the GWR model, aimed at considering spatial heterogeneity, outperforms the OLS model; it is more effective at explaining the relationships between environmental performance and economic growth in China. The results indicate a significant variation in the existence of the EKC relationship. Such spatial patterns suggest province-specific policymaking to achieve balanced growth in those provinces.
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