Spatio-temporal distribution characteristics and influencing factors of deindustrialized cities in China
Deindustrialization is a regional economic phenomenon that has emerged as a result of technological progress,industrial upgrading and the globalization of production,but premature deindustrialization can adversely affect the high-quality development of regional economies.This paper identifies deindustrialized cities based on the characteristics of changes in the proportion of manufacturing industries at the city level in China,analyzes their spatial and temporal distribution characteristics,and explores the impact of related factors on urban deindustrialization.The results are found:(1)From 2000 to 2020,the development of deindustrialization at the municipal level in China is universal,and the ratio of deindustrialized cities increases with the increase of city size class.The number of newly added deindustrialized cities expanded and then contracted over time,with a concentration in 2011-2014.(2)Deindustrialization at the municipal level in China is more likely to be premature deindustrialization,accounting for 56.48％of deindustrialized cities,mainly in the central and western regions.Resource-oriented cities are more prone to premature deindustrialization because of their structural rigidity and resource endowment.(3)The deindustrialization of cities is influenced by various factors.Financialization and technological innovation significantly drive deindustrialization in terms of both output and employment.Factors such as productivity levels,resource endowments,interregional industrial division and cooperation,and environmental regulations have different impacts on output and employment deindustrialization.Compared to the significant impact of rising production factor costs on deindustrialization in eastern cities,the central,western,and northeastern regions are more influenced by the levels of financialization and transportation connectivity.Interregional industrial division and cooperation tend to induce deindustrialization in the western and northeastern regions,yet they facilitate industrial development in the eastern and central regions.
万方数据
维普
