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Evaluating the energy-environment efficiency and its determinants in Guangdong using a slack-based measure with environmental undesirable outputs and panel data model

机译：使用基于松弛的测度，环境不良输出和面板数据模型评估广东省的能源环境效率及其决定因素

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摘要

Environmental sustainability has become a significant goal for policymakers and practitioners since increasing environmental degradation owing to anthropogenic activities. Energy-environment efficiency, linked to a progressive reduction in the environmental impacts that may occur throughout their life cycle to levels that should be below or equal the Earth's estimated carrying capacity, is a crucial point for constructing an environment friendly society while maintaining rapid economic growth. Thus, this study combined a slack-based measure (SBM) with environmental impacts as undesirable outputs with spatial analysis techniques to measure energy-environment efficiency of 21 cities in Guangdong and its changing patterns during the period 2006-2016. What and how socioeconomic factors affecting energy-environment efficiency over time and space was further examined using heterogeneous panel data model. Here are the main findings: during the study period, energy-environment efficiency showed apparent spatiotemporal diversity with high values predominantly concentrated in coastal areas, especially in the center area of the Pearl River Delta. Energy-environment efficiency increased continuously in the western Guangdong and the Pearl River Delta, while it of eastern Guangdong showed a decreasing trend and of northern Guangdong remained stable at a low level. The results of the heterogeneous panel data model revealed that technological progress exerted the greatest positive effects on energy-environment efficiency, followed by population density, economic growth. Conversely, Openness was evaluated as an inhibiting factor. Interestingly, this study found that industrial structure demonstrated significant negative correlations with respect to energy-environment efficiency in the Pearl River Delta while it exerted significant positive influence in the peripheral areas of Guangdong. And foreign trade and energy-environment efficiency had a significant positive correlation in the Pearl River Delta, unlike the negative correlation in the peripheral areas of Guangdong. This study's findings hold a helpful reference for both policymakers and practitioners to coordinate the economy, energy and environment and established environment-friendly society in the fast-developed areas like Guangdong. (C) 2019 Published by Elsevier B.V.
机译：环境可持续性已成为政策制定者和实践者的重要目标，因为人为活动导致环境恶化加剧。能源环境效率与整个生命周期中可能发生的环境影响逐渐减少到应低于或等于地球估计的承载能力的水平有关，是构建环境友好型社会并保持经济快速增长的关键点。因此，本研究结合了基于松弛的量度（SBM）和环境影响作为不良产出，并结合空间分析技术来测量广东省21个城市的能源环境效率及其2006-2016年期间的变化模式。使用异类面板数据模型进一步研究了什么因素以及如何在时间和空间上影响能源环境效率的社会经济因素。主要研究结果如下：在研究期间，能源-环境效率表现出明显的时空多样性，高时值主要集中在沿海地区，尤其是珠江三角洲的中部地区。粤西和珠江三角洲的能源环境效率持续提高，粤东呈下降趋势，粤北保持较低水平。异构面板数据模型的结果表明，技术进步对能源-环境效率产生了最大的积极影响，其次是人口密度，经济增长。相反，将开放度评价为抑制因素。有趣的是，这项研究发现，珠江三角洲的产业结构与能源环境效率之间存在显着的负相关关系，而对广东周边地区则产生了显着的正影响。珠江三角洲的对外贸易与能源环境效率呈显着的正相关，而广东周边地区则与负相关。该研究结果为决策者和从业者提供了有益的参考，帮助他们在广东等快速发展的地区协调经济，能源和环境以及建立环境友好型社会。 （C）2019由Elsevier B.V.发布

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  • 来源
    《The Science of the Total Environment》 |2019年第1期|878-888|共11页
  • 作者

    Wang Jieyu; Wang Shaojian; Li Shijie; Cai Qiaoxian; Gao Shuang;

  • 作者单位

    Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China|MIT, Dept Urban Studies & Planning, Cambridge, MA 02139 USA;

    Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China;

    Shenzhen New Land Tool Planning & Architectural D, Shenzhen 518172, Peoples R China;

    Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy-environment efficiency; SBM model; Panel data model; Guangdong;

    机译：能源环境效率;SBM模型;面板数据模型;广东;

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