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首页> 外文期刊>Environmental Science and Pollution Research >Determining the factors driving energy demand in the Sichuan-Chongqing region: an examination based on DEA-Malmquist approach and spatial characteristics
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Determining the factors driving energy demand in the Sichuan-Chongqing region: an examination based on DEA-Malmquist approach and spatial characteristics

机译:确定四川 - 重庆地区推动能源需求的因素:基于DEA- Malmquist方法的考试和空间特征

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摘要

Since the "China Western Development" plan was initiated in 2000, the Sichuan-Chongqing region has experienced rapid economic growth, especially in the energy segment. However, energy shortage and environmental degradation currently pose a significant hurdle for sustainable development in this region. In the existing literature on factors driving the energy demand, the effect of technological progress on energy demand is discussed as a whole, but few papers have investigated the effect of technological progress from the perspective of its components. Additionally, existing studies have neglected the temporal and spatial aspect of energy demand, thereby generating biased and unreasonable results. Correspondingly, in the current study, the factors driving the per capita energy demand in the Sichuan-Chongqing region over the 2005-2016 period were, to the best of our knowledge, explored for the first time by employing the data envelopment analysis-Malmquist method and spatial dynamic panel model concurrently. The empirical results suggest that an improvement in total factor productivity (TFP) plays a positive but insignificant role in decreasing energy demand. Additionally, there is clear evidence that the effect of TFP on energy demand primarily emerges through spatial spillover effects and their components.
机译:自2000年“中国西部发展”计划开始以来,四川重庆地区经历了迅速的经济增长,特别是在能源领域。然而,能源短缺和环境退化目前对该地区的可持续发展构成了重大障碍。在现有的文献中,关于推动能源需求的因素,整体讨论了技术进步对能源需求的影响,但很少有论文从其组成部分的角度调查了技术进步的影响。此外,现有研究忽略了能量需求的时间和空间方面,从而产生偏见和不合理的结果。相应地,在目前的研究中,在2005 - 2016年期间在四川重庆地区推动人均能源需求的因素是我们的知识,首次采用数据包络分析 - Malmquist方法探索和空间动态面板模型同时。经验结果表明,在降低能源需求方面,总要素生产率(TFP)的改善起着阳性但微不足道的作用。此外,还有明确的证据表明TFP对能源需求的影响主要通过空间溢出效应及其组件出现。

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