摘要
以省级行政区为基本研究单元,采用空间分析法和面板数据模型分析了我国家庭能源消费的空间分布与影响因素。结果表明:(1)家庭能耗总量呈以京津冀为中心向四周递减态势,电力消费比重和煤炭比重分别具有南高北低和西高东低的分布特点。(2)家庭能耗和电耗的"热点"位于京津冀地区和江浙闽地区,"冷点"位于华中地区、广东省和西部地区。(3)收入和人口是家庭用能的主要驱动因子,城市化与家庭能耗之间呈非线性关系,价格上涨、温度上升抑制了家庭能耗的增加。
On the provincial scale,spatial analysis method and panel data model were selected to study the spatial distribution of household energy consumption(HEC)and its influencing factors.The results showed that:(1)The total HEC presented a decreasing trend from BeijingTianjin-Hebei Region to the surrounding regions.There was a higher distribution of electricity consumption proportion in the south than the north,and a higher distribution of coal consumption proportion in the west than the east.(2)The Beijing-Tianjin-Hebei Region was the"hot spot"of per capita energy consumption,and the central China and Guangdong Province were the"cold spot".Jiangsu,Zhejiang and Fujian Province were the"hot spot"of per capita electricity consumption,and the western region was the"cold spot".(3)Income and population were the main driving factors of HEC.There was a non-linear relationship between urbanization and energy consumption.In addition,it showed a descending trend of the HEC with increasing of the energy costs and local temperature.
作者
丁永霞
彭守璋
DING Yong-xia;PENG Shou-zhang(School of Geography and Tourism,Shaanxi Normal University Xi'an 710119,China;State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau,Northwest A&F University Yangling 712100,China)
出处
《资源开发与市场》
CAS
2020年第4期366-370,共5页
Resource Development & Market
基金
中国博士后科学基金面上项目(编号:2017M623111)
中央高校基本科研业务资助项目(编号:GK201803048).
关键词
家庭能源消费
空间分布
影响因素
面板数据模型
household energy consumption
spatial distribution
influencing factor
panel data model
