Synergistic Systems of Digitalization and Urbanization in Driving Urban Green Development: A Configurational Analysis of China’s Yellow River Basin

Urban green development has become a crucial approach for balancing ecological conservation and socio-economic development. The digital economy (DE) and new-type urbanization (NTU), as technological and social systems, respectively, are both driving urban green development. In this context, furthering their synergistic effects could substantially improve urban sustainability outcomes. Grounded in sociotechnical systems theory, this study applied pooled and multi-period fuzzy-set qualitative comparative analysis (fsQCA) to analyze urban green development pathways in 79 Yellow River Basin cities (2020–2022). The pooled fsQCA indicates that urban green development is driven by synergistic interaction within the NTU-DE subsystem, especially industrial digitalization–spatial urbanization. The multi-period fsQCA further demonstrates that industrial digitization has always existed as a core condition, which means that it plays a more general role. In addition, the Yellow River Basin exhibits distinct regional variations in urban green development, where the downstream region is dominantly driven by DE and spatial urbanization, the upstream region by industrial digitization, and the midstream region demonstrates diversified pathways. This study enhances understanding of complex system interactions in urban green development and provides policy-relevant insights. For policy implementation, local governments should not only prioritize effective synergies between industrial digitization and spatial urbanization but also develop differentiated strategies for the DE and NTU subsystems based on local conditions.

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Publication Details

Journal
Systems
Published
2025-06-02
DOI
https://doi.org/10.3390/systems13060426
Citations
6
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
25.21

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article

Synergistic Systems of Digitalization and Urbanization in Driving Urban Green Development: A Configurational Analysis of China’s Yellow River Basin

Xiaoguang Liu, Shizheng Tan, Pengfei Li, Wei Li et al.
6 citations
Systems
Qualitative Comparative Analysis Research
25.21
article

Synergistic Systems of Digitalization and Urbanization in Driving Urban Green Development: A Configurational Analysis of China’s Yellow River Basin

Xiaoguang Liu, Shizheng Tan, Pengfei Li, Wei Li, Le Yan, Liang Chen
article en
6 citations

Abstract

Urban green development has become a crucial approach for balancing ecological conservation and socio-economic development. The digital economy (DE) and new-type urbanization (NTU), as technological and social systems, respectively, are both driving urban green development. In this context, furthering their synergistic effects could substantially improve urban sustainability outcomes. Grounded in sociotechnical systems theory, this study applied pooled and multi-period fuzzy-set qualitative comparative analysis (fsQCA) to analyze urban green development pathways in 79 Yellow River Basin cities (2020–2022). The pooled fsQCA indicates that urban green development is driven by synergistic interaction within the NTU-DE subsystem, especially industrial digitalization–spatial urbanization. The multi-period fsQCA further demonstrates that industrial digitization has always existed as a core condition, which means that it plays a more general role. In addition, the Yellow River Basin exhibits distinct regional variations in urban green development, where the downstream region is dominantly driven by DE and spatial urbanization, the upstream region by industrial digitization, and the midstream region demonstrates diversified pathways. This study enhances understanding of complex system interactions in urban green development and provides policy-relevant insights. For policy implementation, local governments should not only prioritize effective synergies between industrial digitization and spatial urbanization but also develop differentiated strategies for the DE and NTU subsystems based on local conditions.

SystemsVol. 13(6)
Southeast University (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 1%
Qualitative Comparative Analysis Research
25.21
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