市域能源碳排放影响因素分析及减碳机制研究——以福建省为例

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Abstract

In this paper, 9 cities of Fujian province was selected as the research object, and an extended STIRPAT-PLS model was used to empirically analyze the influencing factors of Fujian Province's carbon emissions from 2010 to 2016. The model was able to determine the main influence factors on the increase of carbon emissions and calculate the influence rate of each factor. The results showed that total population, urbanization rate, per-capita GDP, secondary industry ratio and energy intensity have positive driving effects on the increase of carbon emissions, while tertiary industry ratio has negative driving effects on the increase of carbon emissions. The three factors such as population, per-capita GDP and urbanization rate make the greatest contribution to increase of carbon emissions. On this basis, the paper proposed several policy suggestions to reduce carbon emissions, including enhancing the development of renewable and clean energy, promoting the optimization and upgrading of energy and industrial structures, and improving energy efficiency, which can be considered as a valid solution for win-win targets of regional economic development and carbon emissions reduction.

Key words： carbon emission STIRPAT model PLS regression city-range

Received: 16 July 2018

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X321

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	Articles by authors
	SU Kai
	CHEN Yi-hui
	FAN Shui-sheng
	Zhang Ming-ru

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SU Kai,CHEN Yi-hui,FAN Shui-sheng等. Influencing factors and reduction mechanism of carbon emissions at the city-range: An empirical study on Fujian province[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(2): 859-867.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I2/859

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