1672-8505

CN 51-1675/C

余利娥. 中国居民生活能源消费影响因素分析——基于城乡“二元”结构[J]. 西华大学学报(哲学社会科学版), 2018, 37(1): 56-63. DOI: 10.19642/j.issn.1672-8505.2018.01.009
引用本文: 余利娥. 中国居民生活能源消费影响因素分析——基于城乡“二元”结构[J]. 西华大学学报(哲学社会科学版), 2018, 37(1): 56-63. DOI: 10.19642/j.issn.1672-8505.2018.01.009
YU Li-e. Impact Factors Analysis of Energy Consumption in Residents' Life in China: Based on Urban-rural Dualistic Structure[J]. Journal of Xihua University (Philosophy & Social Sciences) , 2018, 37(1): 56-63. DOI: 10.19642/j.issn.1672-8505.2018.01.009
Citation: YU Li-e. Impact Factors Analysis of Energy Consumption in Residents' Life in China: Based on Urban-rural Dualistic Structure[J]. Journal of Xihua University (Philosophy & Social Sciences) , 2018, 37(1): 56-63. DOI: 10.19642/j.issn.1672-8505.2018.01.009

中国居民生活能源消费影响因素分析——基于城乡“二元”结构

Impact Factors Analysis of Energy Consumption in Residents' Life in China: Based on Urban-rural Dualistic Structure

  • 摘要: 通过引入城镇化和城乡“二元”变量,拓展了能源消费分解的对数平均迪氏指数分解方法(LMDI),将中国居民生活能源消费分解为城镇人口规模、乡村人口规模、城镇居民收入水平、乡村居民收入水平、能源强度、能源供给率、城镇居民能源消费结构、乡村居民能源消费结构和城镇化9大效应,发现城镇居民收入水平效应对中国居民生活能源消费量的增加贡献最大,而乡村人口规模效应对中国居民生活能源消费量的减少贡献最大。通过对中国城镇化与居民生活能源消费耦合关系进行分析,发现中国居民生活能源消费与城镇化之间呈现显著的“U”型关系。最后,从提高燃气管网覆盖率、加大对节能家电购买的补贴力度、制定和完善居民区建筑节能标准等方面给出减缓居民生活能源消费增加的对策建议。

     

    Abstract: The paper expands Logarithmic Mean Decomposition Index (LMDI) method through introducing variables of urbanization and urban-rural dualistic structure, and decomposes residential energy consumption into nine effects as urban population scale, rural population scale, urban residents' income level, rural residents' income level, energy intensity, energy supply rate, urban residents' energy consumption structure, rural residents' energy consumption structure and urbanization. The results show that: effect of urban residents' income level contributes most to the increase of energy consumption in residents' life in China, but effect of rural population scale contributes most to the reduction; and there is a significant "U" relationship between Chinese residents' living energy consumption and urbanization through analyzing the coupling relationship between them. Finally, some policy suggestions are given to slow down the increase of residents' living energy consumption such as improving the coverage rate of gas pipeline network, increasing the subsidy for the purchase of energy saving household appliances, formulating and perfecting the energy saving standards of residential buildings, and so on.

     

/

返回文章
返回