Using fs/QCA to explore the influencing factors of urban green infrastructure development and its combinational drivers: the case of the Yangtze River Delta region of China

Hong Chen,Jinsong Wang, Yanting Zeng, Ning Shen,Fajian Liu

Environmental Science and Pollution Research(2024)

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摘要
High levels of urban green infrastructure (UGI) development can help mitigate the climate, biodiversity, and habitat crises faced by cities and support the achievement of sustainable urban development. Based on the relevant data of 41 cities in the Yangtze River Delta region obtained from 2011 to 2020, this study measured the development level of natural and geographic conditions, economic development, urban construction, social and cultural development, and eco-environment quality and urban green infrastructure (UGI); evaluated the development trend of UGI in the region during the 12th Five-Year Plan and 13th Five-Year Plan by using entropy TOPSIS; and used fs/QCA to explain the high-level development path of each city toward the achievement of a green infrastructure. The results showed that (1) the development level of UGI in the Yangtze River Delta region decreases from southeast to northwest, and gradually decreases from Shanghai, Hangzhou, and other central cities. (2) There were several different configurations of high levels and non-high levels of UGI development drivers across regions, confirming the existence of multiple causality and asymmetry indices in the drivers of UGI. (3) During the “12th Five-Year Plan” and the “13th Five-Year Plan” period, the conditions needed to achieve a high level of UGI gradually became stricter, expanding from nature–social culture and urban construction–eco-environmental drivers to nature–urban construction, nature–social culture–eco-environmental, urban construction–economy–social culture–eco-environmental drivers. Research findings can provide greater guidance and implications for future sustainable urban development.
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关键词
Urban green infrastructure,Influencing factors,Yangtze River Delta region,Fuzzy qualitative comparative analysis
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