Abstract
In the context of economic globalization, the manufacturing production space in the global city-regions of developing countries have presented significant spatial characteristics, attracting attention to the problems of intensive and sustainable development of production space. Taking global city-region in the Pearl River Delta (PRD) as an example, manufacturing production space based on remote sensing (RS) technology and point of interest (POI) data extraction was more precise and continuous, which had more advantages for further analysis of spatial characteristics and influencing factors in multi-scale, and precise policy recommendations. The results show that: (1) under different scales, the distribution characteristics of manufacturing production space and the agglomeration characteristics of spatial form are different. It is not simply extensive agglomeration or diffusion that can accurately explain its diversified spatial characteristics. Meanwhile, for the local manufacturing production space optimization control, the local government should apply advanced experience according to local conditions instead of simply and roughly promotion or containment. (2) Influencing factors show a strong positive correlation with the urbanization rate, the number of foreign direct investment (FDI) enterprises and gross industrial production, and which shows a weak negative correlation with fixed asset investment and the employment population. In conclusion, the spatial characteristics of manufacturing production space in global city-regions in developing countries is significantly different from that in Western countries, and its influencing factors have similarities and differences. Therefore, when conducting multi-scale space optimization and sustainable regulation, the government should consider more about the actual multi-scale spatial characteristics of manufacturing production space and its influencing factors instead of copy the Western experience.
Highlights
With the global spread of manufacturing, the elements of globalization dominated by advanced producer services are concentrated in the world cities [1,2], and some specialized and standardized manufacturing sectors are spreading to larger regional scales by means of advanced transportation logistics and communication technologies [3,4], which have gradually formed a highly integrated multi-center, multi-level global city-region centered on an international metropolis [5,6,7]
This study mainly figured out the spatial characteristics of manufacturing production space at different scales, and influencing factors of the spatial pattern of manufacturing production space in the global city-regions of developing countries
In the new round of global capital cycle, manufacturing production space was mainly distributed in the global city-regions of developing countries
Summary
With the global spread of manufacturing, the elements of globalization dominated by advanced producer services are concentrated in the world cities [1,2], and some specialized and standardized manufacturing sectors are spreading to larger regional scales by means of advanced transportation logistics and communication technologies [3,4], which have gradually formed a highly integrated multi-center, multi-level global city-region centered on an international metropolis [5,6,7]. A large number of scholars have kept a close eye on the phenomenon that the main economic activities such as advanced producer services (APS), knowledge-intensive industries, and innovative industries are reshaping the regional spatial structure in the context of the rise of knowledge economy [8,9,10,11]. Scholars mainly focus on the fact that headquarters economy, producer APS, foreign direct investment (FDI), or foreign-funded manufacturing industry, as the leading industries, have an important impact on regional economic development and regional spatial structure [14,15,16,17,18,19]. The spatial reconstruction of the manufacturing industry is still the key variable for shaping the spatial structure of the global city-regions of developing countries [20]. The first aim of this paper is to improve public understanding of manufacturing spatial distribution characteristics and influencing factors in the global city-regions of developing countries
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