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Regional disparity and dynamic evolution of carbon emission reduction maturity in China's service industry

机译:中国服务业碳减排成熟度的地区差异和动态演变

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As a vital source of carbon emissions, the carbon emission reduction in service industry and its spatial and temporal distribution are of great significance to promote the green development of the service industry, however, there is a lack of research on carbon emission reduction maturity (CERM) and the spatial mechanism of the regional disparity in China's service industry. To address this problem, we select the basic index of service industry CERM based on the Kaya identity, measure the CERM in China's service industry from 2006 to 2015 by using a grey relational model, and analyse the spatial pattern of its evolution by applying the spatial auto-correlation method. The results show that: the average level of CERM in China's service industry is between 0.379 and 0.766, which shows a spatial imbalance. Provinces with high maturity are found in eastern coastal areas, and on the contrary, those with low maturity are found in the western district where the economy is less developed, which shows a decreasing tendency from coastal regions to inland and from eastern areas to the middle and western areas. From the spatial auto-correlation perspective, service industry CERM in China shows spatial aggregation. Neighbouring regions with similar maturity influence each other and produce obvious spatial spillover effects and the spatial disparity tends to decrease. (C) 2019 Elsevier Ltd. All rights reserved.
机译:作为碳排放的重要来源,服务业的碳减排及其空间和时间分布对于促进服务业的绿色发展具有重要意义,但是,关于碳减排成熟度的研究还很缺乏(CERM)。 )以及中国服务业区域差异的空间机制。为了解决这个问题,我们基于Kaya身份选择了服务业CERM的基本指标,运用灰色关联模型对中国服务业2006年至2015年的CERM进行了测度,并运用空间分析了其发展的空间格局。自相关方法。结果表明:中国服务业CERM的平均水平在0.379〜0.766之间,存在空间上的不平衡。成熟度较高的省份位于东部沿海地区,相反,成熟度较低的省份位于经济欠发达的西部地区,这表明从沿海地区到内陆以及从东部地区到中部的趋势呈下降趋势和西部地区。从空间自相关的角度来看,中国服务业的CERM表现出空间聚集。成熟度相似的相邻区域相互影响,并产生明显的空间溢出效应,空间差异趋于减小。 (C)2019 Elsevier Ltd.保留所有权利。

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