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产业融合如何影响区域绿色发展效率:空间条件过程分析。

How industrial convergence affects regional green development efficiency: A spatial conditional process analysis.

机构信息

School of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, PR China.

School of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, PR China.

出版信息

J Environ Manage. 2021 Dec 15;300:113738. doi: 10.1016/j.jenvman.2021.113738. Epub 2021 Sep 17.

DOI:10.1016/j.jenvman.2021.113738
PMID:34543964
Abstract

Industrial convergence is a key means to transform the economic mode. Taking the convergence of manufacturing and producer services in China as the research object, this study explored how industrial convergence affects regional green development efficiency (GDE). First, a coupling evaluation system was established to measure industrial convergence degree, and the directional distance function-based slacks-based measure was combined with the global Malmquist-Luenberger index to measure GDE. Second, we employed spatial econometric models to analyze the relationship between industrial convergence and GDE. Then, using the spatial conditional process analysis, a unified framework of green innovation, investment structure, and energy intensity was constructed to investigate the transmission mechanism involved. The results showed that: (1) Regional GDE and green innovation had a spatial dependence. (2) Considering the spatial correlation, industrial convergence is conductive to regional GDE. (3) Green innovation is an effective path by which industrial convergence improves regional GDE. (4) In this mediating process, the investment structure and energy intensity play a moderating role. The investment bias in high-tech industries increases the role of industrial convergence in promoting regional GDE and green innovation, while the moderating direction of energy intensity is opposite. In addition, there is a crowding-out effect in energy dependence, which hinders the effectiveness of green innovation.

摘要

产业融合是转变经济发展方式的重要手段。本文以中国制造业与生产性服务业的融合为例,探讨了产业融合对区域绿色发展效率(GDE)的影响。首先,构建了融合度测度的耦合评价体系,采用基于方向距离函数的松弛测度与全局 Malmquist-Luenberger 指数相结合的方法测算了 GDE。其次,利用空间计量模型分析了产业融合与 GDE 的关系。然后,通过空间条件过程分析构建了绿色创新、投资结构和能源强度的统一框架,以探讨其中的传递机制。结果表明:(1)区域 GDE 与绿色创新具有空间依赖性。(2)考虑空间相关性后,产业融合有利于区域 GDE。(3)绿色创新是产业融合提升区域 GDE 的有效途径。(4)在这一中介过程中,投资结构和能源强度起调节作用。高技产业投资偏向增加了产业融合对区域 GDE 的促进作用和绿色创新的中介作用,而能源强度的调节方向相反。此外,能源依赖存在挤出效应,阻碍了绿色创新的有效性。

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