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Analysis of Carbon Emissions and Their Influence Factors Based on Data from Anhui of China

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  • Ma-Lin Song
  • Yuan-Xiang Zhou

Abstract

This study undertakes a systematic analysis of calculated time-series carbon emissions data from Anhui province, China, between 1999 and 2012; it also presents relevant measurement models by which to predict the carbon emissions of Anhui province from 2013 to 2015. We found that given current rates of growth, total emissions would increase by up to 37.47 %. Furthermore, this study quantitatively analyzes the influence factors pertaining to Anhui province’s carbon emissions. The results show that population effects on increases in carbon emissions have declined gradually, and that increased energy consumption has promoted a reduction of carbon emissions; it was also found that carbon emission intensity has stimulated an increase in carbon emissions to a degree larger than population effects have. Economic development, additionally, has stimulated an increase in carbon emissions. This study also puts forward some measures by which to reduce carbon emissions in Anhui province, and they involve improvements to the energy structure, an increase in energy efficiency, and a strong focus on high-energy-consumption and high-emission industries. Copyright Springer Science+Business Media New York 2015

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  • Ma-Lin Song & Yuan-Xiang Zhou, 2015. "Analysis of Carbon Emissions and Their Influence Factors Based on Data from Anhui of China," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 359-374, October.
    • Handle: RePEc:kap:compec:v:46:y:2015:i:3:p:359-374
    DOI: 10.1007/s10614-014-9456-5
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