Analysis on the Spatiotemporal Changes and Correlation of the National Industrial Chain

Taking 30 Provinces and Cities in China as Examples

DOI

10.2991/aebmr.k.201111.011How to use a DOI?

Keywords

average propagation length (APL), influence coefficient, response coefficient, industrial chain

Abstract

The internal connection between industrial sectors is an important part of the current global production and trade network relationship. The degree of industrial sector connection is usually measured in terms of length and strength. The study took 30 provinces and cities in China as the object, combined with the GAPL method to estimate the specific positions of 30 provinces and cities in the national industrial chain, and used the regional industry influence coefficient and the response coefficient to measure the strength of industry links and leading industry links between the upper and middle reach and downstream provinces in the national industrial chain. The results show that from 2007 to 2012, Hebei, Shandong, Shanxi, Henan, and Inner Mongolia were in the upstream position of the national industrial chain, and Guangdong, Guangxi, Chongqing, and Yunnan were in the downstream position of the national industrial chain, and provinces in the midstream and middle and lower reaches of the industrial chain varied greatly. The upstream and downstream provinces were spatially adjacent, and the upstream spatial scope of the industrial chain was gradually expanding, and the downstream spatial scope was gradually shrinking; in the national industrial chain structure of upstream and downstream provinces, industry played a role of strong radiation and weak pulling function, and the construction industry played a role of strong pulling and weak radiation function; moreover, the pulling and restricting effects of transportation and warehousing gradually weakened, and the pulling and restricting effects of wholesale and retail industry gradually increased.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lijun Wang
AU  - Zhong Ma
AU  - Cui Ma
AU  - Quanrun Chen
PY  - 2020
DA  - 2020/11/13
TI  - Analysis on the Spatiotemporal Changes and Correlation of the National Industrial Chain
BT  - Proceedings of the 2020 International Conference on Management, Economy and Law (ICMEL 2020)
PB  - Atlantis Press
SP  - 55
EP  - 65
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201111.011
DO  - 10.2991/aebmr.k.201111.011
ID  - Wang2020
ER  -