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An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors

机译:中国工业循环经济效率和相关影响因素的综合测量

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Since the 1990s, the notion of a circular economy has been developing globally; countries all over the world have been considering the development of a circular economy as an important means of achieving sustainable development. As the development of an industrial circular economy can help promote the efficient recycling of resources, it is an important starting point for industrial transformation and upgrading, and represents a key factor that will lead to the development of a circular economy in China. China’s varying provinces (municipalities and autonomous regions) have successively implemented circular economy practices in the industrial field. The research object of the present study is 30 provinces, autonomous regions, and municipalities directly under the control of central government (Hong Kong, Macao, Taiwan, and Tibet were not included owing to lack of data). Through the integration of geographic information systems (GIS) technology and the spatial analysis model, data envelopment analysis (DEA) model, and Tobit regression model, a measure model and index system are constructed, in order to carry out a multi-angle comprehensive study integrating the efficiency evaluation, spatial analysis, and influencing factors analysis of China’s industrial circular economy. It is an important innovation, and an important contribution to the existing research system. The conclusions are as follows: (1) In general, the overall level of China’s industrial circular economy’s efficiency was not high, and there was still a lot of room for improvement. The integrated efficiency of the industrial circular economy in the eastern region was relatively high, followed by that in the western region, and the lowest level in the middle region. (2) The efficiency of China’s industrial circular economy displayed obvious spatial aggregation characteristics at the provincial level, including clear spatial dependence and spatial heterogeneity. High-value aggregation areas were mainly distributed in the eastern coastal areas, and low-value aggregation areas were concentrated and contiguously distributed in the middle and western inland areas. (3) The four elements of economic level, openness to the outside, government regulation, and industrialization aggregation each impose a significant positive impact on the efficiency of China’s industrial circular economy, which can promote its efficiency. The level of industrialization exerts a significant negative impact on the efficiency of the industrial circular economy, which hampers its improvement. The impact of technological innovation on the efficiency of the industrial circular economy is not statistically significant.
机译:自20世纪90年代以来,循环经济的概念在全球发展;世界各国一直在考虑发展循环经济,作为实现可持续发展的重要手段。由于工业循环经济的发展可以帮助促进资源的有效回收,这是工业转型和升级的重要起点,代表了将导致中国循环经济发展的关键因素。中国不同省(市政当局和自治区)先后在工业领域审判了循环经济实践。本研究的研究目的是在中央政府控制下直接(香港,澳门,台湾,由于缺乏数据),这项研究目的是直接在中央政府(香港,澳门,台湾和西藏)。通过整合地理信息系统(GIS)技术和空间分析模型,数据包络分析(DEA)模型和Tobit回归模型,构建了一种测量模型和索引系统,以执行多角度综合研究整合中国工业循环经济的效率评价,空间分析及影响因素分析。这是一个重要的创新,以及对现有研究系统的重要贡献。结论如下:(1)一般来说,中国工业循环经济效率的总体水平并不高,仍然有很多改善余地。东部地区工业循环经济的综合效率相对较高,其次是西部地区,中部地区的最低水平。 (2)中国工业循环经济的效率在省级显示了明显的空间聚集特征,包括清晰的空间依赖性和空间异质性。高价值聚集地区主要分布在东部沿海地区,低价值聚集区集中在中部和西部地区的中西部和西部地区连续分布。 (3)经济层面的四个要素,外界开放,政府监管和工业化聚合各自对中国工业循环经济的效率产生了重大影响,这可以促进其效率。工业化水平对工业循环经济的效率产生了显着的负面影响,妨碍了其改进。技术创新对工业循环经济效率的影响并不统计学意义。

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