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确定川渝地区能源需求驱动因素:基于 DEA-Malmquist 方法和空间特征的检验。

Determining the factors driving energy demand in the Sichuan-Chongqing region: an examination based on DEA-Malmquist approach and spatial characteristics.

机构信息

School of Economics, Southwestern University of Finance and Economics, Chengdu, 611130, China.

Western China Center for Economic Research, Southwestern University of Finance and Economics, Chengdu, 611130, China.

出版信息

Environ Sci Pollut Res Int. 2019 Nov;26(31):31654-31666. doi: 10.1007/s11356-019-06258-9. Epub 2019 Sep 4.

Abstract

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.

摘要

自 2000 年“西部大开发”计划启动以来,川渝地区经济增长迅速,特别是能源领域。然而,能源短缺和环境恶化目前对该地区的可持续发展构成了重大障碍。在关于驱动能源需求因素的现有文献中,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研究技术进步的影响。此外,现有研究忽视了能源需求的时间和空间方面,从而产生了有偏差和不合理的结果。相应地,在当前的研究中,我们首次同时运用数据包络分析-马尔基斯指数法和空间动态面板模型,探讨了 2005-2016 年期间川渝地区人均能源需求的驱动因素。实证结果表明,全要素生产率(TFP)的提高对降低能源需求起到了积极但不显著的作用。此外,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成部分来体现。

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