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江苏居民生活能源消费及其影响因素分解:城乡比较
引用本文:籍艳丽,李秀明. 江苏居民生活能源消费及其影响因素分解:城乡比较[J]. 常熟理工学院学报, 2020, 0(3): 95-103
作者姓名:籍艳丽  李秀明
作者单位:常熟理工学院数学与统计学院
基金项目:江苏省高校哲学社会科学研究基金项目“新常态下江苏能源消费趋势与结构优化的实证研究”(2018SJA1370)、“供给侧结构性改革视角下江苏省经济增长动力转换研究”(2017SJB1390);全国统计科学研究项目“环境规制下中国工业绿色全要素生产率及其影响因素研究”(2018LY09)、“供给侧结构性改革背景下我国经济增长潜力的测度及实证研究”(2017LY90)。
摘    要:在描述江苏1995-2016年居民生活能源消费趋势及其结构的时间演变轨迹基础上,采用LMDI模型对该时期能源消费量增长因素展开指数分解;且重点考察城乡的不同。研究发现,生活能源消费总量在平稳波动中上升,城乡间差距总体扩大,呈现出城镇“石油、电力与天然气”三足鼎立、农村以电力为主导的消费格局。人均可支配收入是城乡居民生活能源消费增加的第一主因、消费倾向位居第四、能源消费结构作用极小;而人口规模和能源消费强度的影响程度和方向均不同。这五因素的影响效应在正负方向与数值大小上,不同时期存在差异。这些实证结果为控制江苏居民生活能源消费快速增长提供了思路。

关 键 词:居民生活能源消费  因素分解  城乡比较  LMDI模型

Research on Residents'Energy Consumption in Jiangsu and Its Influencing Factors:Urban and Rural Comparison
JI Yanli,LI Xiuming. Research on Residents'Energy Consumption in Jiangsu and Its Influencing Factors:Urban and Rural Comparison[J]. Journal of Changshu Institute of Technology, 2020, 0(3): 95-103
Authors:JI Yanli  LI Xiuming
Affiliation:(School of Mathematics and Statistics,Changshu Institute of Technology,Changshu 215500,China)
Abstract:On the basis of the temporal evolution of the trend and structure of Jiangsu residents'energy consumption from 1995 to 2016,this paper uses the LMDI model to decompose the growth factors of energy consumption and focuses on the differences between urban and rural areas.It is found in the study that energy consumption rose steadily and the gap between urban and rural areas widened as a whole.It is characterized by the tripartite consumption pattern of"oil,electricity and natural gas"in cities and towns,dominated by rural electricity.The per capita disposable income is the first main reason for the increase of household energy consumption,consumption tendency ranks fourth,and energy consumption structure plays a very small role.But population size and energy consumption intensity have different impacts and directions.Moreover,the effects of these five factors vary in positive and negative directions and numerical values in different periods.These empirical results provide ideas for controlling the rapid growth of Jiangsu residents'energy consumption.
Keywords:residents'energy consumption  factor decomposition  urban and rural comparison  LMDI method
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