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Total-factor energy efficiency and influence factors analysis in regions of China

机译:中国地区的总因素能效及影响因素分析

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This paper builds an input-output framework based on a data envelopment analysis (DEA) window aimed at exploring total-factor energy efficiency (TFEE) in 30 administrative regions and 6 areas across China from 2006 to 2012. In this framework, labor force, capital stock, energy consumption, CO_2 emission are regarded as inputs, while gross domestic product (GDP) as the single output. The result indicates regions in East China and Mid South perform relatively higher TFEE especially Jiangsu, Guangdong which both obtain optimal efficiencies, while regions in Northwest have lower TFEE like Ningxia and Qinghai which TFEE lower than 0.55. But on the whole, 6 areas of China show increasing trends of TFEE during this period. Additionally, we conduct a regression analysis aimed at revealing influence factors of energy efficiency. We find properly adjusting industrial construction contributes the best for lifting TFEE, meanwhile, technology and economy size also have marked influences in raising TFEE.
机译:本文基于数据包络分析(DEA)窗口建立了一个输入输出框架,旨在探索30个行政区域的总因素能效(TFEE),2006年至2012年中国6个地区。在本框架中,劳动力,资本库存,能源消耗,CO_2排放被视为投入,而国内生产总值(GDP)为单一产量。结果表明东部和中南部的地区表现出相对较高的TFEE,特别是江苏,广东都获得了最佳效率,而西北部的地区则与宁夏和青海等地下TFEE,TFEE低于0.55。但整个,中国6个地区在此期间显示出TFEE的趋势。此外,我们进行了回归分析,旨在揭示能源效率的影响因素。我们发现适当调整的工业建筑贡献最好的举起TFEE,同时,技术和经济性规模也显着影响了提升TFEE。

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