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首页> 外文期刊>Journal of Cleaner Production >Industrial eco-efficiency, regional disparity, and spatial convergence of China's regions
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Industrial eco-efficiency, regional disparity, and spatial convergence of China's regions

机译:工业生态效率,区域差异和中国区域的空间趋同

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In this study, the industrial eco-efficiency measures of 30 Chinese provinces (municipalities and autonomous regions) from 2001 to 2015 were estimated based on a proposed data envelopment analysis (DEA) model and the non-convex metafrontier-undesirable outputs-super efficiency-slacks-based measure (NCMeta-US-SBM) which simultaneously incorporates non-convex metafrontier technology, undesirable outputs, and super efficiency into slacks-based measure. Subsequently, dynamic spatial econometric models were employed to test the spatial convergence of industrial eco-efficiency. The empirical results show that: 1) the average value of industrial eco-efficiency was the highest in the eastern region (0.67), followed by the western region (0.30) and central region (0.27), indicating the existence of a significant regional disparity. 2) Strong evidence for global and club spatial convergence of industrial eco-efficiency was found. With regard to regional heterogeneity, provinces in the eastern region converged faster than those in the central and western regions; while the convergence speed of industrial eco-efficiency increased after 2008 with respect to temporal heterogeneity. 3) The ownership structure appeared to have a higher impact on industrial eco-efficiency than other controls in the presence of spatial conditional beta-convergence. These findings are robust with regard to both spatial econometric model and spatial weighting matrix specifications. Based on the empirical analysis, the following policies promote industrial eco-efficiency in China have been recommended. First, relevant authorities must take effective measures to encourage the central/western regions to adopt clean energy technologies. The energy subsidy policies should strive to break through the technological lock-in and turn to regional green development. Second, full advantage of the spatial effects must be taken and technological exchanges and cooperation among neighboring areas must be strengthened to ensure that the industrial eco-efficiency of the central and western regions converge with those of the eastern coastal areas. Policy implications of multidimensional heterogeneity and adjustment of industrial structure should be highlighted while promoting industrial eco-efficiency. Finally, it is crucial to emphasize factors, such as foreign direct investment (FDI), ownership and industrial structures to attract FDI and optimize the current industrial structure. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在这项研究中,基于拟议的数据包络分析(DEA)模型和非凸型元前沿-不期望的产出-超效率-,在2001年至2015年期间估算了中国30个省(市和自治区)的工业生态效率指标。基于松弛的度量(NCMeta-US-SBM),它同时将非凸元前沿技术,不良输出和超高效率结合到基于松弛的度量中。随后,采用动态空间计量经济模型来检验工业生态效率的空间收敛性。实证结果表明:1)东部地区的工业生态效率平均值最高(0.67),其次是西部地区(0.30)和中部地区(0.27),表明存在明显的地区差异。 2)有力的证据表明工业生态效率在全球和俱乐部空间上趋同。在区域异质性方面,东部地区的省份收敛速度快于中部和西部地区。在时间异质性方面,工业生态效率的收敛速度在2008年之后有所提高。 3)在存在空间条件β收敛的情况下,所有权结构似乎对工业生态效率的影响要大于其他控制。这些发现在空间计量经济学模型和空间加权矩阵规范方面都是可靠的。在实证分析的基础上,提出了以下促进中国产业生态效率的政策。首先,有关部门必须采取有效措施,鼓励中西部地区采用清洁能源技术。能源补贴政策应努力突破技术锁定,转向区域绿色发展。第二,必须充分利用空间效应,必须加强周边地区的技术交流与合作,以确保中西部地区的工业生态效率与东部沿海地区的工业生态效率保持一致。在促进工业生态效率的同时,应强调多维异质性和产业结构调整的政策含义。最后,至关重要的是要强调诸如外国直接投资(FDI),所有权和产业结构之类的因素,以吸引FDI并优化当前的产业结构。 (C)2018 Elsevier Ltd.保留所有权利。

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