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Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship

This study calculates the dynamic concentration index, explores the evolution of the relationship between the Dongxing port and city, and predicts its future. The results indicate that the relationship between the port and city has three development stages, namely the low-level balanced development...

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Detalles Bibliográficos
Autores principales: Wu, Bin, Gu, Guanhai, Zhang, Wenzhu, Zhang, Liguo, Lu, Rucheng, Pang, Caiping, Huang, Jixian, Li, Hongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332581/
https://www.ncbi.nlm.nih.gov/pubmed/35897435
http://dx.doi.org/10.3390/ijerph19159068
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author Wu, Bin
Gu, Guanhai
Zhang, Wenzhu
Zhang, Liguo
Lu, Rucheng
Pang, Caiping
Huang, Jixian
Li, Hongxin
author_facet Wu, Bin
Gu, Guanhai
Zhang, Wenzhu
Zhang, Liguo
Lu, Rucheng
Pang, Caiping
Huang, Jixian
Li, Hongxin
author_sort Wu, Bin
collection PubMed
description This study calculates the dynamic concentration index, explores the evolution of the relationship between the Dongxing port and city, and predicts its future. The results indicate that the relationship between the port and city has three development stages, namely the low-level balanced development stage (2001–2008), the port development stage (2009–2014), and the urban development stage (2015–2019). Based on the country (China and Vietnam), province (Guangxi Zhuang Autonomous Region), district (Fangchenggang City), county (Dongxing City), and individual (resident) levels, a multi-scale index system of influencing factors was developed. The impulse response function model analyzed the influential factors in the relationship between port and city development. The influence is as follows: country (China) > country (Vietnam) > county > individual > city > province. Finally, the relationship between port and city development was predicted using an auto-regression differential moving average model. It is expected that Dongxing City will gradually transition from a port- and city-dominated stage to a new stage of coordinated development. Thus, by improving the proportion of the secondary and tertiary industries, managing the population density, introducing foreign capital, enhancing the innovation level, and improving the traffic facilities, high-quality development in Dongxing port–city can be achieved.
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spelling pubmed-93325812022-07-29 Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship Wu, Bin Gu, Guanhai Zhang, Wenzhu Zhang, Liguo Lu, Rucheng Pang, Caiping Huang, Jixian Li, Hongxin Int J Environ Res Public Health Article This study calculates the dynamic concentration index, explores the evolution of the relationship between the Dongxing port and city, and predicts its future. The results indicate that the relationship between the port and city has three development stages, namely the low-level balanced development stage (2001–2008), the port development stage (2009–2014), and the urban development stage (2015–2019). Based on the country (China and Vietnam), province (Guangxi Zhuang Autonomous Region), district (Fangchenggang City), county (Dongxing City), and individual (resident) levels, a multi-scale index system of influencing factors was developed. The impulse response function model analyzed the influential factors in the relationship between port and city development. The influence is as follows: country (China) > country (Vietnam) > county > individual > city > province. Finally, the relationship between port and city development was predicted using an auto-regression differential moving average model. It is expected that Dongxing City will gradually transition from a port- and city-dominated stage to a new stage of coordinated development. Thus, by improving the proportion of the secondary and tertiary industries, managing the population density, introducing foreign capital, enhancing the innovation level, and improving the traffic facilities, high-quality development in Dongxing port–city can be achieved. MDPI 2022-07-25 /pmc/articles/PMC9332581/ /pubmed/35897435 http://dx.doi.org/10.3390/ijerph19159068 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Bin
Gu, Guanhai
Zhang, Wenzhu
Zhang, Liguo
Lu, Rucheng
Pang, Caiping
Huang, Jixian
Li, Hongxin
Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship
title Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship
title_full Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship
title_fullStr Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship
title_full_unstemmed Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship
title_short Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship
title_sort multi-scale influencing factors and prediction analysis: dongxing port–city relationship
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332581/
https://www.ncbi.nlm.nih.gov/pubmed/35897435
http://dx.doi.org/10.3390/ijerph19159068
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