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Industrial energy efficiency and driving forces behind efficiency improvement: Evidence from the Pearl River Delta urban agglomeration in China

机译:工业能源效率和推动力效率改善:来自中国珠江三角洲城市集聚的证据

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Improving energy efficiency of industrial sectors is essential to achieve energy conservation in the Pearl River Delta urban agglomeration (PRDUA) in China. This study adopted stochastic frontier analysis (SFA) to evaluate the industrial total factor energy efficiency (TFEE) of nine cities in PRDUA during 2004-2016, and then to decompose the growth of TFEE into technical change (IC), technical efficiency change (TEC), and economies of scale (SC) effects. Results show that the TFEE of industrial sectors of PRDUA had an overall downward trend during the study period, and that technical change was the major driving force behind the growth of TFEE. The Tobit model was then adopted to further investigate the determinants of energy efficiency improvement and test the robustness of empirical results. The main contributions of this study to the existing literature lie in showing that (1) the degree of openness, local government spending, foreign direct investment, factor input structure, environmental regulation strength, and GDP per capita have positive impacts on the industrial TFEE; (2) enterprise scale and energy consumption structure have a negative impact on industrial energy efficiency. Finally, we address policy implications for energy management regarding their economic and environmental aspects in industrial sectors of the PRDUA. (C) 2019 Elsevier Ltd. All rights reserved.
机译:提高产业部门的能源效率对于实现中国珠江三角洲城市集群(PRDUA)的节能至关重要。本研究采用了随机前沿分析(SFA),以评估2004 - 2016年PRDUA九个城市的工业总因素能效(TFEE),然后将TFEE的增长分解为技术变化(IC),技术效率变化(TEC )和规模经济(SC)效应。结果表明,中国普鲁亚工业部门的TFEE在学习期间的总体下降趋势,技术变化是TFEE成长背后的主要推动力。然后采用TOBBIT模型进一步研究能源效率改善的决定因素,并测试经验结果的稳健性。本研究对现有文学的主要贡献潜在展示(1)开放程度,地方政府支出,外国直接投资,因素投入结构,环境监管强度和人均GDP对工业TFEE具有积极影响; (2)企业规模和能耗结构对工业能源效率产生负面影响。最后,我们解决了对经济产业部门的经济环境方面的能源管理的政策影响。 (c)2019 Elsevier Ltd.保留所有权利。

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