The Environmental Kuznets Curve and Effect Factors of CO2 Emissions in China: Dynamic Econometric Test Based on ARDL Model

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Abstract:

For discussing the shape, turning point and influencing factors of Environmental Kuznets Curve (EKC) for Chinese CO2 emissions, by using data for 1960-2009, the dynamic relationship between income, other affecting factors and CO2 emissions was studied utilizing the Auto Regressive Distributed Lag - Error Correction Model (ARDL-ECM) and boundary test methodology. The results suggest the existence of cointegration relationship among variables and presence of an inverted-U shape relationship in both short and long-run, thus supporting the EKC hypothesis. At present China has not surpassed the curve’s turning point. Energy intensity is key influencing factor for CO2 emissions. Industry structure is positively correlated with CO2 emissions. However, trade openness has little influence on it. The short-run environmental negative effect of urbanization and long-run positive effect of population density are both significant, the regression coefficient of energy consumption structure is positive in long-run but negative in short-run.

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Advanced Materials Research (Volumes 962-965)

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1670-1675

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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