基于STIRPAT模型的中国城镇生活能源消费影响因素研究

发布时间：2018-06-13 09:57

本文选题：城镇生活能源消费 + 影响因素　；参考：《长江流域资源与环境》2017年08期

【摘要】：为探究人口规模、收入水平、消费倾向、节能政策和技术等因素对中国城镇生活能源消费的影响,基于拓展的STIRPAT模型并运用2000~2013年中国省际面板数据对各影响因素的效应进行评估。结果显示:城镇生活能源强度、城镇居民消费倾向、人均可支配收入、城镇化率、总人口、政策综合力度6个因素的增长率每变化1%,将会引起城镇生活能源消费量增长率0.9322%、0.8537%、(0.559 2+0.169 2 ln DI)%、0.599 8%、0.408 0%、-0.012 0%的变化,表明除节能政策外,其余5因素均正向促进城镇生活能耗增长。其中生活能源强度对城镇生活能耗影响最大,节能政策虽会抑制城镇生活能耗增长,但作用较为微弱。政府需继续加强节能政策综合实施力度,从而实现生活能源消费领域的节能减排。
[Abstract]:In order to explore the impact of population size, income level, consumption tendency, energy conservation policy and technology on the energy consumption of urban life in China, Based on the extended STIRPAT model and using the Chinese provincial panel data from 2000 to 2013, the effects of various factors are evaluated. The results show that: energy intensity of urban life, consumption tendency of urban residents, per capita disposable income, urbanization rate, total population, Each change of the growth rate of 6 factors of policy synthesis strength will cause the increase rate of energy consumption in cities and towns to be 0.932 22 and 0.853737, which will cause the change of 0.559 2 0.169 2 ln DIN and 0.599 8% 0.408 0% -0.0120%, which indicates that all the other five factors, except the energy saving policy, are promoting the increase of energy consumption in cities and towns. The energy intensity of living energy has the biggest influence on the energy consumption of urban life. Although the energy saving policy will restrain the growth of energy consumption of urban life, the effect is weak. The government should continue to strengthen the comprehensive implementation of energy conservation policies, so as to achieve energy saving and emission reduction in the area of domestic energy consumption.
【作者单位】：中国矿业大学管理学院;
【基金】：国家自然科学基金(71573255) 中国博士后科学基金面上资助项目(2014M551708) 江苏省博士后科研资助计划(1302079B) 江苏省社会科学基金(15JD037) 江苏省高校哲学社会科学基金项目(2015SJD435) 江苏高校国际能源政策研究中心资助项目(6J147125)~~
【分类号】：F126.1;F299.2;F426.2

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