Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)

Research on the Coordinated Development of Beijing-Tianjin-Hebei Port-Hinterland Economy

Authors
Hongqi Hui, Yunqi Hao
Corresponding Author
Yunqi Hao
Available Online 2 November 2020.
DOI
https://doi.org/10.2991/assehr.k.201030.046How to use a DOI?
Keywords
measurement model, membership function, coordinated development
Abstract
In order to accurately measure the degree of coordinated development between the ports of Beijing-Tianjin-Hebei and the regional economy, this paper analyzes the mutual influence between the two based on the econometric model, and uses variable parameter membership functions to calculate the degree of coordination between ports and cities. Taking the four ports of Qinhuangdao Port, Tangshan Port, Huanghua Port, Tianjin Port and their immediate hinterland as the research objects, data from 2007 to 2018 as a sample, 12 indicators selected for empirical research. The study concludes that the Beijing-Tianjin-Hebei ports have a long-term relationship with the hinterland economy; Qinhuangdao and Tianjin port cities have a low coordination degree or even inconsistencies; Tangshan and Cangzhou port cities have a stable coordination degree and a good development momentum. Finally, three targeted improvement measures are proposed to provide important practical value for strengthening the joint development of Beijing-Tianjin-Hebei Port and City.
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Proceedings
2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
2 November 2020
ISBN
978-94-6239-266-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201030.046How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongqi Hui
AU  - Yunqi Hao
PY  - 2020
DA  - 2020/11/02
TI  - Research on the Coordinated Development of Beijing-Tianjin-Hebei Port-Hinterland Economy
BT  - 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 222
EP  - 229
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.046
DO  - https://doi.org/10.2991/assehr.k.201030.046
ID  - Hui2020
ER  -