Industrial eco-efficiency, regional disparity, and spatial convergence of China's regions
Industrial eco-efficiency, regional disparity, and spatial convergence of China's regions
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DOI：
10.1016/j.jclepro.2018.09.054
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发表时间：
2018-12
影响因子：
11.1
通讯作者：
Yantuan Yu;Jianhuan Huang;Ning Zhang
中科院分区：
文献类型：
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作者：
Yantuan Yu;Jianhuan Huang;Ning Zhang
本研究以中国30个省（市、自治区）的工业生态效率测度为基础，基于提出的数据包络分析（DEA）模型和非凸元前沿-非期望产出-超效率-松弛测度，对2001 - 2015年（直辖市和自治区）的（NCMeta-US-SBM），它同时将非凸元前沿技术，不期望的输出和超效率纳入基于松弛的测量中。随后，利用动态空间计量经济模型对产业生态效率的空间收敛性进行了检验。实证结果表明：1）东部地区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），存在明显的地区差异。2)结果表明，中国工业生态效率的空间收敛性表现为全球收敛和俱乐部收敛;在区域异质性方面，东部省份的收敛速度快于中西部省份;在时间异质性方面，2008年以后，中国工业生态效率的收敛速度加快。3)在存在空间条件β收敛的情况下，所有制结构对工业生态效率的影响高于其他控制因素。这些研究结果是强大的空间计量经济模型和空间加权矩阵规格。在实证分析的基础上，提出了以下促进中国工业生态效率的政策建议。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。二是充分发挥空间效应，加强周边地区的技术交流与合作，使中西部地区的产业生态效益与东部沿海地区趋同。在提高产业生态效率的同时，应重视产业结构多维异质性和调整的政策含义。最后，要重视外商直接投资、所有制和产业结构等因素，以吸引外商直接投资，优化现有产业结构。
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 conditionalβ-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.