基于STIRPAT模型的中国能源足迹的区域差异分析

在前人研究的基础上，从生态足迹理论出发，利用2007年中国能源消费截面数据，通过能源足迹测算方法测算出我国30个省区的能源消费足迹省区差异；通过能源足迹强度测算方法测算出能源足迹强度的区域分布，分析其规律；并通过STIRPAT影响因素模型的构建，揭示能源足迹与人口、经济影响因素的关系。结果表明，能源足迹高的省份主要集中于工业较发达的中东部地区，如山东、河北、辽宁等省；而能源足迹低的省份主要分布在经济相对落后的西部地区，如广西、宁夏、青海等省，这与我国经济发展水平的区域分布较为吻合。能源足迹强度由西向东逐渐减少；随着区域经济发展水平的提高，能源足迹强度存在下降趋势。人口数量对能源足迹大小的影响显著；人均GDP并没有显示出与能源足迹有反向关系，不能证明能源足迹的环境库兹涅茨曲线存在。

Analysis of Regional Differences of Energy Footprint in China Based on STIRPAT Model

On the basis of the previous studies, proceeding from the ecological footprint theory, using the cross - sectional data of Chinese energy consumption, estimate the regional difference of energy consumption footprint about 30 provinces of our country of 2007 by using the method of the EEF calculation method ; estimate the regional distribution of EFI by using the method of the EFI calculation method, analyze it＇ s regulation ; and through the construction of STIRPAT model, reveal the relationship between EEF and population, economic factors. The results show that provinces with higher EEF are mainly concentrated on the middle provinces, which have a developed industry, such as Shandong, Hebei, Liaoning province and so on; however, provinces with lower EEF are mainly concentrated on the western provinces, which have a relatively lag economy, such as Guangxi, Ningxia, Qinghai province and so on. These results are in good agreement with the area distribution of our country＇ s economic development level.