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Regional environmental efficiency in China: An empirical analysis based on entropy weight method and non-parametric models

机译:中国区域环境效率:基于熵权法和非参数模型的实证分析

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While vigorously developing its economy, China is attaching more and more importance to environmental protection and pollution control. In different regions of China, however, there are great differences in economic development and the degree of environmental pollution. In this study, we use the entropy weight method to calculate the pollution indexes of different regions from 2015 to 2017. Then we evaluate the Chinese regional environmental efficiency based on a new non-parametric frontier model. Moreover, a new set of ranking interval models that treat the undesirable outputs as inputs is proposed to further describe the regional disparities of the environmental efficiency between different regions with robustness. Finally, we conduct an empirical analysis by combining the stepwise regression and principal component analysis to identify the most influential variables that may affect regional environmental efficiency. According to the results, the southeast region of China performs best in environmental efficiency, followed by the northeast region, then the southwest region, and the worst is the northwest region. For managerial implications, we find that the investment of high education and the development of the IT industry can significantly increase regional environmental efficiency. More importantly, the results of the principal component analysis provide the government with a set of variables to strategically select the most appropriate strategy. (C) 2020 Elsevier Ltd. All rights reserved.
机译:虽然大力发展经济,但中国正在越来越重视环保和污染控制。然而,在中国的不同地区,经济发展和环境污染程度存在巨大差异。在这项研究中,我们使用熵权法从2015年到2017年计算不同地区的污染指数。然后,我们根据新的非参数前沿模型评估中国区域环境效率。此外,提出了一种处理不希望的输出作为输入的新的排名间隔模型,以进一步描述具有鲁棒性的不同地区环境效率的区域差异。最后,我们通过组合逐步回归和主成分分析来确定可能影响区域环境效率的最有影响力的变量来进行实证分析。根据结果​​,中国东南地区的环境效率表现最佳,其次是东北地区,然后是西南地区,最坏的是西北地区。对于管理的影响,我们发现高等教育投资和IT行业的发展可以大大提高区域环境效率。更重要的是,主要成分分析的结果为政府提供了一系列变量,以战略性地选择最合适的策略。 (c)2020 elestvier有限公司保留所有权利。

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