Content area
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.
Details
Investigations;
River basins;
Air pollution;
Complex systems;
Research & development--R&D;
Economic growth;
Energy consumption;
Regional development;
Qualitative analysis;
Big Data;
Artificial intelligence;
Sustainable development;
River basin development;
Systems theory;
Digital economy;
Synergistic effect;
Gross Domestic Product--GDP;
Digitization;
Literature reviews;
Subsystems;
Urbanization;
Cloud computing;
Economic development;
Digital technology
; Li, Wei 1
; Liu, Xiaoguang 1
; Li, Pengfei 1
; Le, Yan 1
; Chen, Liang 2
1 School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China; [email protected] (S.T.); [email protected] (X.L.); [email protected] (P.L.); [email protected] (L.Y.)
2 School of Economics and Management, Southeast University, Nanjing 211189, China; [email protected]