文献类型： 外文期刊

作者： Tao, Chang-Qi ¹ ; Yi, Meng-Ying ¹ ; Wang, Chang-Song ² ;

作者机构： 1.Jiangxi Univ Finance & Econ, Sch Stat, Nanchang 330013, Jiangxi, Peoples R China

2.Nanchang Univ, Sch Econ & Management, Nanchang 330031, Jiangxi, Peoples R China

3.Jiangxi Acad Agr Sci, Inst Agr Econ & Informat, Nanchang 330200, Jiangxi, Peoples R China

4.Jiangxi Univ Finance & Econ, Key Lab Data Sci, Nanchang 330013, Jiangxi, Peoples R China

关键词： Data elements; Green development; Random forest; Coupling coordination; Dynamic evolution

期刊名称：ECONOMIC ANALYSIS AND POLICY （ 影响因子：6.5； 五年影响因子：5.2 ）

ISSN： 0313-5926

年卷期： 2023 年 77 卷

页码：

收录情况： SCI

摘要： By constructing a comprehensive evaluation index system for data elements and green development, this paper measures the level of data elements and green development in 273 prefecture-level cities in China from 2011 to 2019 using the random forest algorithm and calculates the coupling coordination degree (CCD) of the two systems using the coupling coordination degree model. Furthermore, this paper classifies the 273 cities into six types based on their "business charm"rankings and uses the Dagum Gini coefficient, kernel density estimation and a spatial Markov chain model to investigate the spatiotemporal characteristics and dynamic evolution of the CCD between data elements and green development. The results show that: (1) the average level of data elements is 0.087, which obviously lags behind the average level of green development, but the levels of both data elements and green development are on the rise; (2) the average CCD between data elements and green development is 0.44, which is in the moderate coordination stage and the CCD shows a year-on-year increase; (3) the higher the business charm ranking of a city, the higher the CCD between Data elements Green development (4) the CCD is affected by the city business charm ranking, showing significant differences, which mainly originate from the intergroup differences; (5) the CCD between data elements and green development in a city is also influenced by its neighboring cities, and the spatial pattern of the CCD evolution shows a "club convergence"phenomenon in the extreme coupling coordination stage. These findings provide important implications for promoting synergies between data elements and green development in both developing and developed countries.(c) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.