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. 2025 Jul 23;15(1):26829.
doi: 10.1038/s41598-025-07967-7.

Coupling and coordination evaluation of digital economy and green development efficiency in eight urban agglomerations in China

Affiliations

Coupling and coordination evaluation of digital economy and green development efficiency in eight urban agglomerations in China

Yue Liu. Sci Rep. .

Abstract

Promoting the coupling and coordinated development of the digital economy and green development efficiency within urban agglomerations is of vital importance for the construction of "Digital China" and "Beautiful China", and is also significant for achieving regional sustainable development. This paper uses the relevant data of 140 cities in the eight urban agglomerations in China from 2011 to 2023 to comprehensively measure the development levels and coordination degrees of the digital economy and green development efficiency from the perspective of urban agglomerations. Furthermore, by applying multi-index evaluation methods, the EBM-DEA model based on Pearson correlation coefficient, and the coupling coordination degree model, the systematic evaluation and relationship analysis of the digital economy and green development efficiency were carried out. The research results are as follows: (1) The overall coupling coordination degree of two systems in the eight major urban agglomerations in China shows a fluctuating growth trend, achieving a transformation from near imbalance to good coordination, but there are obvious phased characteristics and regional imbalances. (2) In the eight urban agglomerations, the overall Gini coefficient of the coupling coordination degree of these two systems shows a fluctuating downward trend, presenting a "rising-falling" inverted "V" shape feature, and the spatial differences gradually narrow. (3) The stability of the coupling coordination degree at all levels in the eight urban agglomerations is relatively high, with obvious solidification phenomena. The improvement process is gradual, and there is a certain risk of grade decline. These conclusions provide scientific basis for urban agglomerations to formulate precise policies, balance economic and ecological development, and achieve high-quality development.

Keywords: Digital economy; Green development efficiency; Multi-dimensional perspective; Spatial-temporal heterogeneity; Urban agglomerations.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The proportion of China’s eight major urban agglomerations in the national economy.
Fig. 2
Fig. 2
Framework diagram.
Fig. 3
Fig. 3
Coupling mechanism between digital economy and green development efficiency.
Fig. 4
Fig. 4
Geographical distribution map of the eight major urban agglomerations in China. Produced based on the Ministry of Natural Resources Standard Map Service website, Standard Map No. GS(2019)1822, with no modifications to the boundaries of the base map. The map was created using ArcGIS, version 10.7, (https://www.esri.com/en-us/arcgis/about-arcgis/overview).
Fig. 5
Fig. 5
Characteristics of the coupling and coordination relationship between digital economy and green development efficiency at the regional level of China’s eight major urban agglomerations.
Fig. 6
Fig. 6
Characteristics of the coupling and coordination relationship between the two systems in the eight major urban clusters of China at different periods.
Fig. 7
Fig. 7
Gini coefficient of the coupling coordination degree of the two systems from 2011 to 2023.
Fig. 8
Fig. 8
Contribution rates for the coupling coordination degree between two systems from 2011 to 2023.

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