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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9332581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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