摘要
基于2009-2015年省际面板数据,充分考虑变量间的空间相关关系,利用探索性空间数据分析、空间杜宾模型等方法,对我国能源消费影响因素进行分析,结果显示:我国省域能源消费存在显著的空间相关关系,经济增长、第二产业占比、城镇化对能源消费具有正向驱动作用,而技术进步在一定程度上抑制了能源消费,能源价格因素的市场不确定性使得其对能源消费的影响不显著。
Based on the panel data of Chinese 30 provinces from 2009 to 2015 as samples,taking full account of the spatial correlation among variables,exploratory spatial data analysis and spatial Durbin model were used to analyze the influencing factors of energy consumption.The results show that:there is a significant spatial correlation among Chinese provincial energy consumption.Economic growth,the proportion of secondary industry,urbanization have positive role in driving energy consumption,but technological progress restrains the energy consumption to some extent.Energy market price uncertainty factors make the impact on energy consumption less significant.
作者
王瑞
刘云
WANG Rui;LIU Yun;WANG Rui;LIU Yun(School of Statistics,LanZhou University of Finance and Economics,Lanzhou,Gansu 730101,China)
出处
《宜宾学院学报》
2017年第11期18-28,115,共12页
Journal of Yibin University
关键词
能源消费
空间相关性
空间杜宾模型
Energy consumption
spatial correlation
spatial Durbin model
