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中国能源消费强度地区差异分解及影响因素分析 被引量:5

Analysis of regional difference decomposition and the influence factors of the energy consumption intensity
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摘要 本文旨在探讨我国能源消费强度地区差异的变动趋势以及影响能源消费强度差异的因素。首先,采用泰尔指数法测算了2000~2014年中国30个省区(台湾省、西藏除外)能源消费强度的地区差异,并按照三大区域进行结构分解。在此基础上利用空间面板数据模型对影响能源消费强度的5个主控因素进行实证分析。研究结果表明:1我国能源消费强度地区差异明显,呈现西高东低的基本特征,区域内差异大于区域间差异(即能源消费的总体差异是由区域内差异引起的);2加大技术创新投入和第三产业增加值比重以及提高能源的价格可以显著降低各区域能源消费强度,加大外商投资水平可显著的降低西部地区能源消费强度,降低煤炭消费比重可显著降低东部与西部地区能源消费强度。 Aimed to further explore the trends for regional differences in energy consumption and analysis the factors of the differences in intensity of energy consumption. This article calculates the regional difference of the energy consumption intensity based on the panel data of 30 provincial regions (except Tibet. Taiwan) from 2000 to 2014 using the Theil index, and do structural decomposition to the three regional areas. Then research the six factors of the energy consumption intensity using the spatial panel data model. The results show that regional difference of the energy consumption intensity is significantly, The regional differences showing the characteristics of west to east, the difference from the region is greater than the interregional, that the difference in overall energy consumption is caused by the difference from the region. R^D, tertiary industry and improve the price of the energy can significantly reduce energy consumption intensity to all areas. FDI can significantly reduce consumption intensity in western region. A lower proportion of coal consumption can significantly reduce energy consumption intensity in eastern and western regions.
出处 《中国矿业》 北大核心 2016年第8期31-37,共7页 China Mining Magazine
基金 新疆维吾尔自治区高校科研计划项目资助(编号:XJEDU2014S011) 新疆维吾尔自治区自然科学基金项目资助(编号:2014211B005)
关键词 能源消费强度 泰尔指数法 影响因素 空间面板数据模型 energy consumption intensity Theil index influence factor spatial panel data model
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