Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data
Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data
复制标题
基于企业大数据的京津冀地区制造业集聚影响因素
DOI：
10.1007/s11442-022-2039-9
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发表时间：
2022-10
影响因子：
4.9
通讯作者：
Wei Sun
中科院分区：
文献类型：
--
作者：
Yujin Huang;Kerong Sheng;Wei Sun
产业集聚是经济活动中一个非常显著的地理特征，并且是经济地理学中的一个重要研究课题。然而，基于机制对产业集聚的解释常常因未能区分（某些因素）而存在差异。
最后一个单词“dis”应该是不完整的，可能影响了翻译的完整性和准确性。
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.
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DOI：
10.1007/s00168-009-0300-0
发表时间：
2009-04
期刊：
The Annals of Regional Science
影响因子：
--
作者：
M. Fischer;Thomas Scherngell;Eva Jansenberger
通讯作者：
M. Fischer;Thomas Scherngell;Eva Jansenberger
DOI：
10.18306/dlkxjz.2020.11.005
发表时间：
2020
期刊：
地理科学进展
影响因子：
--
作者：
崔喆;沈丽珍;刘子慎
通讯作者：
刘子慎
DOI：
10.2307/144349
发表时间：
1995-09
期刊：
--
影响因子：
--
作者：
P. Krugman
通讯作者：
P. Krugman
影响因子：
5.8
作者：
Eric Marcon;S. Traissac;Florence Puech;G. Lang
通讯作者：
Eric Marcon;S. Traissac;Florence Puech;G. Lang
影响因子：
3
作者：
Duranton, Gilles;Overman, Henry G.
通讯作者：
Overman, Henry G.