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Low-carbon economy efficiency analysis of China's provinces based on a range-adjusted measure and data envelopment analysis model

机译:基于范围调整测度和数据包络分析模型的中国省份低碳经济效率分析

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To guide the policy adjustment in the new normal economic mode, this study uses a range-adjusted measure and data envelopment analysis model to evaluate the provincial comprehensive efficiencies and explore the factors causing poor performance in China during 2001-2014. Empirical analysis draws the following conclusions. 1) The comprehensive efficiencies of most provinces present upward trends, which imply the positively contribution of previous efficiency-related policies. 2) Contrary to economic levels, the comprehensive efficiency of the central region is lower than that in the east but higher than that in the west. This result confirms the existence of extensive growth and implies that developed regions should be largely responsible for the low comprehensive efficiency of the country. 3) Except for a few outliers, the comprehensive efficiency level of a province is highly correlated to its climatic characteristics. This phenomenon offers new ideas for the central government to create differential efficiency-related policies. 4) For east provinces, labor input, energy input, gross domestic product (GDP) output, and CO2 emissions are all important in improving the comprehensive efficiency. Efficiency-related policies should focus on technical progress. For west and central provinces, labor input and GDP output are the main contributors to inefficiency. The key policy direction of these provinces should be the improvement of human resource efficiency. (C) 2018 Elsevier Ltd. All rights reserved.
机译:为了指导新的正常经济模式下的政策调整,本研究使用范围调整的测度和数据包络分析模型来评估省级综合效率,并探讨造成2001-2014年中国绩效不佳的因素。实证分析得出以下结论。 1)大多数省的综合效率呈现上升趋势,这意味着以前的与效率相关的政策将发挥积极作用。 2)与经济水平相反,中部地区的综合效率低于东部,但高于西部。这一结果证实了广泛增长的存在,并暗示发达地区应为国家综合效率低下负主要责任。 3)除了少数几个例外,一个省的综合效率水平与其气候特征高度相关。这种现象为中央政府制定与效率相关的差异政策提供了新思路。 4)对于东部省份,劳动力投入,能源投入,国内生产总值(GDP)产出和二氧化碳排放量对于提高综合效率都很重要。与效率相关的政策应侧重于技术进步。对于西部和中部省份,劳动力投入和GDP产出是造成效率低下的主要因素。这些省的关键政策方向应该是提高人力资源效率。 (C)2018 Elsevier Ltd.保留所有权利。

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