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A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?

Bin Xu and Boqiang Lin ()

Energy Policy, 2016, vol. 98, issue C, 328-342

Abstract: China is already the largest carbon dioxide emitter in the world. This paper adopts provincial panel data from 1990 to 2014 and employs quantile regression model to investigate the influencing factors of China's CO2 emissions. The results show that economic growth plays a dominant role in the growth of CO2 emissions due to massive fixed–asset investment and export trade. The influences of energy intensity on the lower 10th and upper 90th quantile provinces are stronger than those in the 25th–50th quantile provinces because of big differences in R&D expenditure and human resources distribution. The impact of urbanization increases continuously from the lower 10th quantile provinces to the 10th–25th, 25th–50th, 50th–75th, 75th–90th and upper 90th quantile provinces, owing to the differences in R&D personnel, real estate development and motor–vehicle ownership. The effect of industrialization on the upper 90th quantile provinces is greater than those on other quantile provinces on account of the differences in the industrial scale and the development of the building industry. Thus, the heterogeneity effects of influencing factors on different quantile provinces should be taken into consideration when discussing the mitigation of CO2 emissions in China.

Keywords: Carbon dioxide emissions; Quantile regression model; Panel data (search for similar items in EconPapers)
Date: 2016
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