北京邮电大学学报(社会科学版) ›› 2011, Vol. 13 ›› Issue (4): 68-75.

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浙江省能源消费碳排放的因素分解

  

  1. (杭州电子科技大学 管理学院,浙江 杭州310037)
  • 收稿日期:2011-06-21 出版日期:2011-08-30 发布日期:2023-03-27

Decomposition Analysis of Carbon Emissions from Energy Consumption #br# in Zhejiang Province Based on LMDI Method

  1. (School of Management, Hangzhou Dianzi University, Hangzhou 310037, China)
  • Received:2011-06-21 Online:2011-08-30 Published:2023-03-27

摘要:

本文分析了1997—2008年间浙江省能源消费碳排放数据,采用对数均值迪氏分解(Logarithmic Mean Divisia Index, 简称LMDI)法,对能源消费导致的二氧化碳排放量和碳排放强度进行结构分解。结果表明,浙江省能源消费碳排放量不断增加是由人口和人均国内生产总值(GDP)因素引起的,其中人均GDP增长是碳排放量增加的主要因素;能源强度下降是降低二氧化碳排放量的主要因素,能源结构的作用呈现波动性,且程度较小。本文得出如下结论,要减缓二氧化碳的排放量,构建“低碳浙江”、“生态浙江”,应从重新认识人均GDP、控制人口数量、调整能源结构、降低能源强度、提高能源效率等方面考虑。

关键词: 碳排放, 能源强度, 能源消费, LMDI

Abstract:

In this paper, the amount of carbon emissions due to energy consumption in Zhejiang Province from 1997 to 2008 is calculated, and a structural decomposition analysis of carbon dioxide emissions and emission intensity is set up by adopting logarithmic mean Divisia index (LMDI) method The results show that the increasing carbon emissions from energy consumption in Zhejiang Province is consistent with the growth of population and Gross Domestic Product (GDP) per capita, especially for GDP per capita factor; decreasing the energy intensity plays a major role in decreasing carbon dioxide emissions, and the energy structure shows the trend of volatility with a lesser degree In order to build “Low-carbon Zhejiang”, “Ecological Zhejiang”, comprehensive measures should be undertaken to reduce the aggregated emissions, including re-understanding GDP per capita, controlling population, adjusting energy structure, reducing energy intensity and improving energy efficiency, and so on

Key words: carbon emissions, energy intensity, energy consumption;logarithmic mean Divisia index

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