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R&D and Environmental Kuznets Curve Hypothesis: CO2 Case

R&D 투자와 환경쿠즈네츠 곡선 가설: CO2 사례 분석

  • Kang, Heechan (Department of Economics of the Incheon National University) ;
  • Hwang, Sangyeon (Department of Economics of the Incheon National University)
  • Received : 2016.01.09
  • Accepted : 2016.03.25
  • Published : 2016.03.31

Abstract

In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

본 논문은 환경쿠즈네츠곡선가설에 기반을 두고, 경제개발 수준과 기술혁신수준이 다른 전세계 88개 국가에 대한 패널데이터를 이용하여, 기술혁신이 이산화탄소배출량 변화에 미치는 영향을 분석하였다. 기술혁신이 온실가스배출량에 직접적으로 미치는 효과와 소득수준을 변화시켜 온실가스배출량에 미치는 간접적 효과를 종합해본 결과, 비록 미세하지만 기술혁신은 결과적으로 온실가스배출량을 증가시키는 것으로 나타났다. 그러나 패널데이터 모형은 각 '시점 내'에서 변수 간 효과를 분석하는 정태적 모형이라는 한계를 가지고 있다. 이를 개선하기 위해 본 논문에서 채용한 Panel VAR(Panel Vector Auto Regression)모형에서는 기술혁신수준이 시차를 두고 온실가스 배출량에 미치는 영향을 분석할 수 있다. 분석 결과 기술혁신(R&D 투자)과 같은 외생적 충격(Shock)이 일인당 온실가스 배출량 감축에 3년 정도의 시차를 두고 영향을 미치는 것으로 나타났다.

Keywords

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