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

Author

Listed:
  • Bin Wu

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Guanhai Gu

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Wenzhu Zhang

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Liguo Zhang

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Rucheng Lu

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Caiping Pang

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Jixian Huang

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

  • Hongxin Li

    (School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530011, China)

Abstract

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.

Suggested Citation

  • Bin Wu & Guanhai Gu & Wenzhu Zhang & Liguo Zhang & Rucheng Lu & Caiping Pang & Jixian Huang & Hongxin Li, 2022. "Multi-Scale Influencing Factors and Prediction Analysis: Dongxing Port–City Relationship," IJERPH, MDPI, vol. 19(15), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9068-:d:871434
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    References listed on IDEAS

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    1. Lili Song & Jianing Mi, 2016. "Port infrastructure and regional economic growth in China: a Granger causality analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(4), pages 456-468, May.
    2. Monios, Jason & Bergqvist, Rickard & Woxenius, Johan, 2018. "Port-centric cities: The role of freight distribution in defining the port-city relationship," Journal of Transport Geography, Elsevier, vol. 66(C), pages 53-64.
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    Cited by:

    1. Melika Zarei & Mojtaba Arasteh & Sina Shahab, 2024. "Exploring Port–City Relationships: A Bibliometric and Content Analysis," Sustainability, MDPI, vol. 16(11), pages 1-23, May.

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