She Qunzhi, Qian Jing, He Liangxi
School of Economics, Zhongnan University of Economics and Law, Wuhan, China.
Institute for Digital Technologies, Loughborough University London, Loughborough University, London, UK.
Sci Rep. 2024 Aug 22;14(1):19569. doi: 10.1038/s41598-024-70581-6.
The coupling coordination of digitalization and green development has become an inevitable requirement for building a new development pattern and achieving high-quality development of China's economy. Based on the panel data of 284 Chinese cities from 2011 to 2021, this study uses the coupling coordination degree model, Dagum Gini coefficient, spatial convergence, Markov transfer probability matrix, and panel Tobit model to quantitatively analyze the spatial-temporal evolution characteristics and influencing factors of the coupling coordination degree of digitization and green development. The study results show that the coupling coordination degree (CCD) of digitalization and green development has an overall increasing trend during the study period, and the eastern region is higher than other regions which showing spatial non-equilibrium characteristics. The spatial difference of the CCD continues to downward, and inter-regional differences are the main source of the CCD. In the long run, there is a "catch-up effect" between cities with low CCD and those with high CCD, and the CCD of digitalization and green development will tend to a steady state. The transfer type of the CCD has the characteristics of "club convergence", the probability of maintaining the original state is high, and the overall CCD shows a good development trend in the future. Factors such as environmental regulation, green innovation, industrial structure upgrading and financial efficiency can significantly contribute to the CCD of digitalization and green development. The above findings provide empirical evidence of the CCD of digitalization and green development to achieve high-quality economic development.
数字化与绿色发展的耦合协调已成为构建新发展格局、实现中国经济高质量发展的必然要求。基于2011—2021年中国284个城市的面板数据，本研究运用耦合协调度模型、达格姆基尼系数、空间收敛、马尔可夫转移概率矩阵和面板Tobit模型，对数字化与绿色发展耦合协调度的时空演变特征及影响因素进行定量分析。研究结果表明，研究期内数字化与绿色发展耦合协调度呈整体上升趋势，且东部地区高于其他地区，呈现出空间非均衡特征。耦合协调度的空间差异持续缩小，区域间差异是耦合协调度的主要来源。从长期来看，耦合协调度低的城市与耦合协调度高的城市之间存在“追赶效应”，数字化与绿色发展耦合协调度将趋于稳态。耦合协调度的转移类型具有“俱乐部收敛”特征，保持原有状态的概率较高，未来整体耦合协调度呈现良好发展态势。环境规制、绿色创新、产业结构升级和金融效率等因素能够显著促进数字化与绿色发展耦合协调度提升。上述研究结果为数字化与绿色发展耦合协调度实现经济高质量发展提供了经验证据。
