摘要
基于2000-2014年中国省际能源消费数据测算了分省的能源强度,并将DAGUM基尼系数及其分解方法与非参数估计方法相结合对中国能源强度的地区差异及分布动态演进进行实证研究。结果显示:ARCGIS绘制的能源强度的空间分布格局表明中国能源强度存在显著的空间非均衡特征;基尼系数的测算及结果表明,考察期内中国能源强度的总体差异呈现出逐渐扩大的趋势,其中,西部地区差异最大,远远高于东部和中部地区,地区间差异是总体差异的主要来源;KERNEL密度的估计结果表明,中国能源强度的地区差异在样本考察期内呈现出逐年升高的趋势。
China provincial energy intensity is measured based on their energy consumption during 2000 to 2014, and an empirical study is conducted, through a combined DAGUM gini coefficient decomposition and non- parametric estimation method, of the regional difference and dynamic distribution evolution in terms of China energy intensity. The results show that the energy intensity spatial distribution pattern drawn by ARGIS visualization method presents a significant spatial non-balance in China energy intensity; Gini coefficient measurement and its results present a trend of increasing expansion in the overall difference in China energy intensity with the greastest difference in the western region, much greater than those in the eastern and central regions, regional differences being the main source of the overall difference; and that the KERNEL density estimation shows that the regional difference in China energy intensity presents a tendency of annual increase during the sample period.
出处
《山东财经大学学报》
2016年第5期54-62,共9页
Journal of Shandong University of Finance and Economics
基金
国家社会科学基金青年项目"碳排放约束下我国能源效率的区域差异及节能指标分解研究"(12CJL066)
山东财经大学研究生创新项目的资助
