Finding a more efficient green transformation path for resource-exhausted cities: Evidence from China

WANG Ziyi, DIVIGALPITIYA Prasanna

doi:10.15017/7390843

The efficiency of green transformation in resource-exhausted cities is affected by many factors, so it is necessary to analyze the status of UGTE under different combinations of conditions. In this study, five influencing factors, including society, economy, space, environment and infrastructure, were extracted from previous research, and eight representative indicators were selected. Based on the data of 39 resource-exhausted cities in China, the UGTE of the research samples under different combinations of conditions was quantitatively analyzed using fuzzy set qualitative comparative analysis (fsQCA). The main conclusions of this paper are as follows: (1) Four paths can achieve a high level of transformation effect, and six paths can lead to a low level of transformation effect. (2) Among the paths leading to a high level of transformation effect, the two paths are characterized by compact space and efficient operation. The two paths are characterized by economic development and scientific and technological progress. (3) Among the paths leading to the low level transformation effect, the two paths ignore the high level of input of almost all condition variables. Both approaches neglect the construction of urban infrastructure. Both paths ignore per capita disposable income, investment in science and innovation, or high levels of GDP. (4) The realization of high-level green transformation effects should rely on high-level urban infrastructure or high-level economic and social development.

Finding a more efficient green transformation path for resource-exhausted cities: Evidence from China

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