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<p>Sustainable development has long been a topic of global academic interest, and improving urban ecological efficiency is a crucial component of sustainable development. Based on this, this paper constructs a panel dataset on the ecological efficiency of 286 Chinese cities from 2010 to 2021. Using methods based on ArcGIS and econometrics, it systematically analyzes changes in the ecological efficiency of Chinese cities before and after the implementation of sponge city initiatives and explores the relationship between sponge city construction and various driving factors. The study found that, first, China's urban ecological efficiency showed an overall upward trend from 2010 to 2021, with the eastern coastal regions consistently leading the way, while the central and western regions exhibited dynamic adjustments and overall lower levels. Meanwhile, under the pattern of higher efficiency in the east and west and lower efficiency in the central regions, the overall disparity first decreased, then stabilized, and eventually converged. Spatial factors accelerate the convergence of urban ecological efficiency. Second, sponge city construction has a significant positive impact on urban ecological efficiency, achieved through increased resource investment and promotion of green technological progress. This effect varies across different types of cities and local officials' characteristics. This effect is achieved through increased resource inputs and the promotion of green technological progress. Third, GTWR and configuration analysis indicate that in implementing sponge city pilot projects, DD*lnEXP*PI* ~ NDVI* ~ TR*PGDP (high government expenditure, high patent numbers, vegetation coverage, low degree of topographic relief, and high per capita GDP) exhibit strong sufficient characteristics for UEE, while DD*lnEXP*PI* ~ NDVI* ~ TR*PGDP (high fiscal expenditure, high patent levels, low vegetation coverage, high per capita GDP, and low degree of topographic relief) has a strong explanatory power for UEE. The conclusions of this paper distill China's experience, enrich research on UEE, and provide insights for achieving sustainable urban development.</p>

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Assessing the impact of sponge cities on urban eco-efficiency: Integration of ArcGIS and econometric analysis

  • 期刊论文

  • 发表日期：

    2025年12月3日

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  • Ying Han,
  • Baogang Li,
  • Yiwu Zeng,
  • Li Lili

摘要

Sustainable development has long been a topic of global academic interest, and improving urban ecological efficiency is a crucial component of sustainable development. Based on this, this paper constructs a panel dataset on the ecological efficiency of 286 Chinese cities from 2010 to 2021. Using methods based on ArcGIS and econometrics, it systematically analyzes changes in the ecological efficiency of Chinese cities before and after the implementation of sponge city initiatives and explores the relationship between sponge city construction and various driving factors. The study found that, first, China's urban ecological efficiency showed an overall upward trend from 2010 to 2021, with the eastern coastal regions consistently leading the way, while the central and western regions exhibited dynamic adjustments and overall lower levels. Meanwhile, under the pattern of higher efficiency in the east and west and lower efficiency in the central regions, the overall disparity first decreased, then stabilized, and eventually converged. Spatial factors accelerate the convergence of urban ecological efficiency. Second, sponge city construction has a significant positive impact on urban ecological efficiency, achieved through increased resource investment and promotion of green technological progress. This effect varies across different types of cities and local officials' characteristics. This effect is achieved through increased resource inputs and the promotion of green technological progress. Third, GTWR and configuration analysis indicate that in implementing sponge city pilot projects, DD*lnEXP*PI* ~ NDVI* ~ TR*PGDP (high government expenditure, high patent numbers, vegetation coverage, low degree of topographic relief, and high per capita GDP) exhibit strong sufficient characteristics for UEE, while DD*lnEXP*PI* ~ NDVI* ~ TR*PGDP (high fiscal expenditure, high patent levels, low vegetation coverage, high per capita GDP, and low degree of topographic relief) has a strong explanatory power for UEE. The conclusions of this paper distill China's experience, enrich research on UEE, and provide insights for achieving sustainable urban development.