Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants

Lei Luo, Zhenhua Zheng, Jing Luo, Yuqiu Jia, Qi Zhang, Chun Wu, Yifeng Zhang and Jia Sun
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Lei Luo: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China
Zhenhua Zheng: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China
Jing Luo: School of Sociology, Central China Normal University, Wuhan 430070, China
Yuqiu Jia: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China
Qi Zhang: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China
Chun Wu: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China
Yifeng Zhang: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China
Jia Sun: Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China

Sustainability, 2020, vol. 12, issue 19, 1-23

Abstract: The important role of the entity economy, especially manufacturing, has been further highlighted after the outbreak of COVID-19. This study fills a research gap on manufacturing in the Wuhan Metropolitan Area by analyzing the spatio-temporal evolution patterns and characteristics of manufacturing, exploring the major location factors causing spatial reconstruction and comparing the effect intensities of the different factors in the manufacturing sector. From 2003 to 2018, the process of industrial suburbanization in the Wuhan Metropolitan Area continued to strengthen and currently the overall spatial pattern of manufacturing in the Wuhan Metropolitan Area is characterized by spreading in metropolitan areas and aggregation in industrial parks. The results of a spatial metering model showed that the dominant factors affecting the layout of manufacturing included innovation and technical service platforms, industrial parks, the number of large enterprises, living convenience, and air quality. However, the effect intensity of the different location factors varied among industries. The findings may help the government to understand the characteristics of agglomeration and spreading in the manufacturing industry and, in accordance with the dominant factors affecting the location of this industry, rationally develop ideas for adjusting the industrial layout in the post-coronavirus age.

Keywords: manufacturing agglomeration; spatio-temporal evolution patterns; negative binomial regression model; location patterns; location factors; industrial geography; Wuhan Metropolitan Area (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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