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

文献类型：期刊论文

作者Huang Yujin1,2; Sheng Kerong3; Sun Wei1,2
刊名JOURNAL OF GEOGRAPHICAL SCIENCES
出版日期2022-10-01
卷号32期号:10页码:2105-2128
关键词manufacturing agglomeration hurdle model DO index Beijing-Tianjin-Hebei region
ISSN号1009-637X
DOI10.1007/s11442-022-2039-9
通讯作者Sun Wei(sunw@igsnrr.ac.cn)
英文摘要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 distribution 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. The 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. Internal and external industry linkages both 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.
WOS关键词LOCATION ; INDUSTRIES ; GEOGRAPHY
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China[41871117] ; National Natural Science Foundation of China[41771173]
WOS研究方向Physical Geography
语种英语
WOS记录号WOS:000863598800013
出版者SCIENCE PRESS
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/185516]  
专题中国科学院地理科学与资源研究所
通讯作者Sun Wei
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Shandong Univ Technol, Sch Econ, Zibo 255012, Shandong, Peoples R China
推荐引用方式
GB/T 7714		 Huang Yujin,Sheng Kerong,Sun Wei. Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2022,32(10):2105-2128.
APA Huang Yujin,Sheng Kerong,&Sun Wei.(2022).Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data.JOURNAL OF GEOGRAPHICAL SCIENCES,32(10),2105-2128.
MLA Huang Yujin,et al."Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data".JOURNAL OF GEOGRAPHICAL SCIENCES 32.10(2022):2105-2128.

入库方式： OAI收割

来源：地理科学与资源研究所

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