生态环境学报2018，Vol.27Issue(2)：313-321,9.DOI:10.16258/j.cnki.1674-5906.2018.02.016
基于GWR的中国居民生活能源消费驱动因素时空演变研究
Study on Spatial-temporal Dynamics of Multi-mechanism for Household Energy Consumption in China Based on GWR Method
摘要
Abstract
Geographical Weighted Regression method (GWR) was used to study the impact of per capita disposable income, industrial structure, household energy consumption structure, urbanization rate, aging rate and educational level on the per capita household energy consumption of30 provinces, municipalities and autonomous regions of China to reveal the spatial differences of each driving factor in 2011—2014 respectively. The study of the driving factors spatiotemporal disparity of residential energy consumption provides references for the development of differential regional objectives of energy conservation and multiple energy conservation strategies in the next period to Chinese government. The results showed that the per capita disposable income, urbanization rate and educational level had a positive effect on per capita household energy consumption. The industrial structure, household energy consumption structure and aging rate had an inhibitory effect on per capita household energy consumption. These six influential factors of residential energy consumption in a descending order were: educational level>urbanization rate>per capita disposable income>industrial structure> household energy consumption structure>aging rate. Therefore, the government needs to adopt differentiated energy policies for different regions during policy formulation according to the driving effects of each influencing factor and their spatial differences, while adjusting and optimizing industrial structure and household energy consumption structure, minimizing the negative impact of energy rebound effect under urbanization, guiding and encouraging green residential energy consumption to ease the increasing population, consumption level and the pressure of urbanization on residential energy conservation.关键词
生活能源消费/驱动因素/地理加权回归Key words
residential energy consumption/driving factors/geography weighted regression分类
资源环境引用本文复制引用
王丽琼,陈峰..基于GWR的中国居民生活能源消费驱动因素时空演变研究[J].生态环境学报,2018,27(2):313-321,9.基金项目
福建省中青年教师教育科研项目(JA15410) （JA15410）
福建省科协科技思想库(决策咨询类)研究项目 （决策咨询类）
