Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data

被引：0
|
作者：
Huang Y. [1 ,2 ]
Sheng K. [3 ]
Sun W. [1 ,2 ]
机构：
[1] Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
[2] College of Resources and Environment, University of Chinese Academy of Sciences, Beijing
[3] School of Economics, Shandong University of Technology, Zibo
来源：
Dili Xuebao/Acta Geographica Sinica | 2022年 / 77卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Beijing-Tianjin-Hebei region; DO index; Hurdle model; Manufacturing agglomeration;
D O I：
10.11821/dlxb202208008
中图分类号：
学科分类号：
摘要：
Industrial agglomeration is a highly prominent geographical feature of economic activities, and it is an important research topic in economic geography. However, mechanism-based explanations of industrial agglomeration often differ due to a failure to distinguish properly between the spatial distributions of industries and the stages of industrial agglomeration. Based on micro data from three national economic censuses, this study uses the Duranton-Overman (DO) index method to calculate the spatial distribution of manufacturing industries (three-digit classifications) in the Beijing-Tianjin-Hebei region (BTH region hereafter) from 2004 to 2013 as well as the Hurdle model to explain quantitatively the influencing factors and differences in the two stages of agglomeration formation and agglomeration development. Our research results show the following: (1) In 2004, 2008, and 2013, there were 124, 127, and 129 agglomerations of three-digit industry types in the BTH region, respectively. Technology-intensive and labor-intensive manufacturing industries had high agglomeration intensity, but overall agglomeration intensity declined during the study period, from 0.332 to 0.261. (2) There are two stages of manufacturing agglomeration, with different dominant factors. During the agglomeration formation stage, the main locational considerations of enterprises are basic conditions. Agricultural resources and transportation have negative effects on agglomeration formation, while labor pool and foreign investment have positive effects. In the agglomeration development stage, enterprises focus more on factors such as agglomeration economies and policies. Both internal and external industry linkages have a positive effect, with the former having a stronger effect, while development zone policies and electricity, gas, and water resources have a negative effect. (3) Influencing factors on industrial agglomeration have a scale effect, and they all show a weakening trend as distance increases, but different factors respond differently to distance. © 2022, Science Press. All right reserved.
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页码：1953 / 1970
页数：17
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