School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China.
Jiangsu Industrial Cluster Decision-Making Consulting Research Base, Nanjing University of Science and Technology), Nanjing, 210094, China.
Environ Sci Pollut Res Int. 2023 Jul;30(34):82326-82340. doi: 10.1007/s11356-023-28155-y. Epub 2023 Jun 16.
The synergy of the digital economy and green total factor productivity (TFP) is the foundation for achieving beneficial outcomes for both the economy and environment. This synergy is also the catalyst for high-quality development and sustainable economic growth in China. The study applied a modified Ellison-Glaeser (EG) index, super-efficiency slacks-based measure (SBM) with a Malmquist-Luenberger (ML) index, coupling coordination degree, and other models to explore the spatiotemporal heterogeneity of the coupling between the digital economy and green TFP from 2011 to 2020 and also analyzed the influencing factors of the coupling. The results show that the coupling between the digital economy and green TFP showed an overall upward trend from imbalance to synergy during the study period. The distribution of the synergistic coupling expanded from point-like to band-like, and there was a significant spreading pattern from the east to the center or west China. The number of cities in a transition state decreased significantly. Spatial jumps, a coupling linkage effect, and evolution in time were prominent. Additionally, the absolute difference among cities expanded. Although coupling in the west experienced the fastest growth rate, the coupling in the east and resource-based cities showed significant benefits. Coupling did not reach an ideal coordinated state, and a neutral interaction pattern remains to be formed. Industrial collaboration, industrial upgrading, government support, economic foundation, and spatial quality all positively impacted the coupling; technological innovation had a lagged effect; and environmental regulation has not reached its full potential. Further, the positive effects of government support and spatial quality performed better in the east and in non-resource-based cities. Due to the optimization of industrial structure, the coupling of the west and resource-based cities achieved better dividends; however, spatial quality needs further improvement. Therefore, the efficient coordination of China's digital economy and green TFP requires a scientific, reasonable, localized, and distinctive approach.
数字经济与绿色全要素生产率（TFP）协同发展是实现经济与环境共赢的基础，也是推动中国实现高质量发展和经济可持续增长的关键。本文采用改进的 Ellison-Glaeser（EG）指数、基于超效率 SBM 的 Malmquist-Luenberger（ML）指数、耦合协调度等模型，从时空异质性角度测度 2011-2020 年中国数字经济与绿色 TFP 耦合协调发展的动态演进特征，并进一步分析其影响因素。结果表明：研究期间，中国数字经济与绿色 TFP 耦合协调发展水平呈波动上升趋势，由失调逐渐向协同演进；协同耦合空间格局由点状集聚向带状扩展，且存在由东向西或由中心向两翼的扩散态势，过渡状态城市数量显著减少；时空跃迁明显，耦合关联效应增强，整体演进态势良好；城市间差异逐渐扩大。虽然西部地区耦合协调发展增速最快，但东部地区和资源型城市耦合效益显著，耦合协调发展尚未达到理想状态，仍需形成良性互动关系。工业协同、产业升级、政府支持、经济基础和空间质量正向促进耦合协调发展，科技创新具有滞后性，环境规制作用尚未充分发挥。政府支持和空间质量的正向作用在东部和非资源型城市表现更为明显。西部地区和资源型城市通过优化产业结构实现了更好的耦合协调发展红利，但空间质量仍需进一步提升。因此，中国数字经济与绿色 TFP 的高效协同发展需要立足科学、因地制宜、因城施策。
