Spatiotemporal Evolution of Coupling Coordination Degree Between Economy and Habitat Quality in the Shandong Peninsula Urban Agglomeration: Grid Scale Based on Night-Time Lighting Data

Xiaoman Wu, Yifang Duan () and Shu An
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Xiaoman Wu: School of Geography and Environment, Liaocheng University, Liaocheng 252000, China
Yifang Duan: School of Geography and Environment, Liaocheng University, Liaocheng 252000, China
Shu An: School of Geography and Environment, Liaocheng University, Liaocheng 252000, China

Sustainability, 2025, vol. 17, issue 17, 1-23

Abstract: The process of social globalization and urbanization has developed rapidly in China, and the tension between economic development and the eco-environment is becoming increasingly tense, posing a major challenge to the sustainable development strategy of the Shandong Peninsula Urban Agglomeration (SPUA). Coordination development between economic development and habitat quality has become essential for preserving ecological stability and advancing long-term regional sustainability. This study constructed the optimal regression model to measure GDP density using night-time lighting data and economic statistical data and calculated habitat quality at the grid scale with the InVEST model. The spatiotemporal dynamics and driving factors of the coupling coordination between economy and habitat quality (EHCCD) were revealed using the coupling coordination degree model and the Geo-detector model. The results show that (1) between 2000 and 2020, the spatial pattern of GDP density has evolved from a single-core to a multi-core networked development. (2) The habitat quality of the SPUA exhibited a spatial pattern high in the east and low in the west, showing a downward trend. (3) The synergistic effect between GDP density and habitat quality was strengthened continuously, showing an overall strengthening tendency. (4) Driving factors’ influence on the EHCCD showed evident differences; socio-economic factors such as built-up area especially had greater explanatory power for the EHCCD; the interaction factors had shifted from socio-economic dominance to synergistic dominance of natural and human factors. This study not only overcomes the limitations imposed by administrative boundaries on assessing inter-regional coupling coordination but also provides fundamental data support for cross-regional cooperation, thereby advancing the sustainable development goal of the SPUA.

Keywords: the optimized coupling coordination degree model; GDP density; habitat quality; Geo-detector model; Shandong Peninsula Urban Agglomeration (SPUA) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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