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A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces

机译:一种评估技术不等式和扩散障碍的新方法:效率基尼系数的概念及其在中国省份的应用

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摘要

The previous research has suggested that the existence of technology disparities reduces a contribution of environmental technological progress to combat various environmental issues. To handle the diffi-culty, we propose a new framework for assessing technology inequality and technology diffusion bar-riers. To measure them, we discuss the concept of efficiency Gini coefficient. Then, we combine it with Data Envelopment Analysis (DEA), DEA-DA (Discriminant Analysis) and decomposition methods of inequality measurement. Using the combined approach, we perform group-based and source-based decomposition to identify technology diffusion barriers. Empirically, this study has utilized the approach to evaluate technology inequality in Chinese provinces from 2007 to 2018. The main findings are summarized as follows. First, an overall efficiency Gini coefficient tended to increase over time, implying that technological disparity has increased across Chinese provinces. The disparity reduced the contribution of technological progress in addressing various environmental issues. Second, two factors mainly produced the technology inequality. They were cross-group inequality and within-group effi-ciency Gini coefficient. These results explained growing disparities across Chinese regions. Finally, a considerable difference existed in the within-group efficiency Gini coefficient. (c) 2021 Elsevier Ltd. All rights reserved.
机译:以前的研究表明,技术差异的存在降低了环境技术进步对抗各种环境问题的贡献。为了处理Diffi-Culty,我们提出了一种评估技术不等式和技术扩散条 - Riers的新框架。为了衡量它们,我们讨论了效率基尼系数的概念。然后,我们将其与数据包络分析(DEA),DEA-DA(判别分析)和不等式测量的分解方法相结合。使用组合方法,我们执行基于组的基于源的分解,以识别技术扩散障碍。经验上,本研究利用了该研究从2007年至2018年评估了中国省份技术不平等的方法。主要调查结果总结如下。首先,整体效率基尼系数随着时间的推移而增加,这意味着中国省份的技术差异增加。差距减少了技术进步在解决各种环境问题方面的贡献。其次,两个因素主要生产技术不平等。它们是跨群体不等式和群体内效率基尼系数。这些结果解释了中国地区的差异。最后,在群体内效率基尼系数存在相当大的差异。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Energy》 |2021年第15期|121256.1-121256.16|共16页
  • 作者单位

    New Mexico Inst Min & Technol Dept Management 801 Leroy Pl Socorro NM 87801 USA|Tokyo Inst Technol Sch Environm & Soc Tokyo Tech World Res Hub Initiat Minato Ku 3-3-6 Shibaura Tokyo 1080023 Japan;

    Shandong Univ Ctr Econ Res Shandong Sch Dev Jinan 250100 Peoples R China;

    Shandong Univ Ctr Econ Res Shandong Sch Dev Jinan 250100 Peoples R China;

    Shandong Univ Ctr Econ Res Shandong Sch Dev Jinan 250100 Peoples R China;

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

    DEA; Efficiency; Gini coefficient; Chinese provinces; Discriminant analysis;

    机译:DEA;效率;基尼系数;中国省份;判别分析;

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