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Spatial eco-socio-economic trade-offs inform differentiated management strategies in mega-urban agglomerations

Published version
Peer-reviewed

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Abstract

Balancing ecological sustainability with socio-economic development presents a significant challenge for mega-urban regions. Here we introduce a spatial analysis framework that combines clustering techniques with production possibility frontier methodology to quantify and visualize the trade-offs between ecosystem service value and socio-economic well-being. Applying this to the Guangdong-Hong Kong-Macao Greater Bay Area, we identified five distinct eco-socio-economic zones, each requiring different management approaches. Our analysis revealed that economically developed coastal areas exhibit high production efficiency but limited ecological capacity, while less-developed peripheral areas demonstrate significant untapped potential for ecosystem services enhancement. Based on these insights, we formulated tailored strategies for sustainable urban management, including targeted ecological compensation mechanisms between beneficiary and provider regions. This integrated approach provides environmental planners and urban policymakers with a practical toolkit for optimizing sustainability outcomes in complex urban agglomerations, balancing regional economic aspirations with ecological imperatives.

Description

Acknowledgements: The authors wish to acknowledge funding support from the National Science Foundation of China (52408095), the Hong Kong Research Grants Council (27601324), the Guangdong Basic and Applied Basic Research Foundation (2025A1515010902), and the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (2022ONRC001).

Journal Title

npj Urban Sustainability

Conference Name

Journal ISSN

2661-8001
2661-8001

Volume Title

5

Publisher

Springer Nature

Rights and licensing

Except where otherwised noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsorship
National Natural Science Foundation of China (52408095)
Hong Kong Research Grants Council (27601324)
China Association for Science and Technology (2022ONRC001)