환경정책연구 (Journal of Environmental Policy)
- 제10권1호
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- Pages.71-91
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- 2011
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- 1598-7582(pISSN)
중국 29개 성의 환경성과 평가 - 통합오염원 단위를 중심으로 -
Estimation of Environmental Performance in 29 Chinese Provinces - Focused on Integrated Pollution Intensity -
- Kim, Kwang-Uk (Dept. of Economics, Pusan National University) ;
- Piao, Huilan-Lan (Dept. of Economics, Pusan National University) ;
- Kang, Sang-Mok (Dept. of Economics, Pusan National University)
- 투고 : 2010.08.30
- 심사 : 2011.03.17
- 발행 : 2011.03.30
초록
본 논문의 목적은 1998~2007년 중국 29개 성(省)을 대상로 통합오염원단위지수를 계측하고, 급격한 경제성장에 따른 환경성과의 변화를 파악하는 것이다. 각 성별 총생산, 자본 노동, 대기오염배출량(
The purpose of this paper is to estimate the environmental performance of 29 Chinese provinces by adopting the advanced measurements, integrated pollution intensity index, IPI, which can be computed using Data Envelopment Analysis(DEA) techniques. This index has the advantage of accounting for multiple resources used, good outputs produced and pollutants emitted simultaneously. The result obtained using the methodology shows the obvious evidence that provinces located around eastern area of China take relatively low levels and these phenomenons have been clearly observed throughout the sample period 1998~2007. The estimated index can be interpreted that the environmental burden in China has been steadily decreased as economic growth. This paper also tries to figure out the relationship among IPI, income levels, economic structures, the level of environmental regulations and FDI inflow. The estimated relationship between IPI and income per capita predicts improving environmental performance with increasing income levels. This explains the improvement in IPI which is simultaneously observed with income increases. According to the 'pollution haven hypothesis', many researches have been concerned the possibility that a large amount of foreign capital has been invested in China to avoid the strict environmental standards in advanced countries. However, the estimated coefficients in all model specifications take negative sign with IPI and highly statistical significant. This is a indication that there are positive impacts of foreign investments on IPI by adopting clean and high technologies from advanced countries.
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