IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p15652-d983190.html
   My bibliography  Save this article

Logistic Network Construction and Economic Linkage Development in the Guangdong-Hong Kong-Macao Greater Bay Area: An Analysis Based on Spatial Perspective

Author

Listed:
  • Yi Tao

    (School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China
    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)

  • Shihang Wang

    (School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China
    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)

  • Jiang Wu

    (School of Geography and Environment, Xianyang Normal University, Xianyang 712099, China)

  • Mingsong Zhao

    (School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China
    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)

  • Zhen Yang

    (School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

Abstract

Regional logistic networks and linking urban clusters to boost high quality economic development are both key topics in sustainable development in China. In recent years, China has highlighted the significance of the logistics industry and urban cluster development, attaching practical importance to the connections between these two topics from a spatial perspective. This paper aims to discuss how regional logistic networks linking urban clusters improve economic development. This study constructs a logistic evaluation indicator system based on the multi-indicator data of 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area in 2020. This research employs the entropy-weighted-TOPSIS method to measure and rank the comprehensive logistics quality of each city in the economically linked logistic network of the Guangdong-Hong Kong-Macao Greater Bay Area. This study applies the modified gravity model to explore the logistics linkage and logistic network characteristics of each city in the Guangdong-Hong Kong-Macao Greater Bay Area. Finally, this research analyzes how the agglomeration ability of the central cities in the Guangdong-Hong Kong-Macao Greater Bay Area affects other cities from a spatial perspective. Furthermore, this spatial perspective investigates the agglomeration effect of the economic linkage logistic network through the social network analysis method. The results have the following three implications. (1) The logistic network has a high density, a stable overall structure with a strong agglomeration effect, and there is an increasingly mature logistic network development in the Guangdong-Hong Kong-Macao Greater Bay Area in the Bay Area. (2) Agglomeration is significant in the central cities of the Guangdong-Hong Kong-Macao Greater Bay Area including Hong Kong, Shenzhen, Guangzhou, and Macao. Nonetheless, insufficient peripheral cities have been cultivated. Therefore, the government should focus on strengthening the balance of urban development in the bay area and improving the logistics access among cities to break through the barriers of regional synergistic development. (3) The economic development of cities is highly correlated with the level of logistics links. Additionally, the economy is the cornerstone to promoting the high-quality development of the logistics industry. Moreover, the economy and logistics are inseparable, mutually promoted, and developed together.

Suggested Citation

  • Yi Tao & Shihang Wang & Jiang Wu & Mingsong Zhao & Zhen Yang, 2022. "Logistic Network Construction and Economic Linkage Development in the Guangdong-Hong Kong-Macao Greater Bay Area: An Analysis Based on Spatial Perspective," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15652-:d:983190
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/15652/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/23/15652/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zuiyi Shen & Qianqian Zhao & Qimin Fang, 2021. "Analysis of Green Traffic Development in Zhoushan Based on Entropy Weight TOPSIS," Sustainability, MDPI, vol. 13(14), pages 1-13, July.
    2. Heng Chen & Yan Zhang, 2022. "Regional Logistics Industry High-Quality Development Level Measurement, Dynamic Evolution, and Its Impact Path on Industrial Structure Optimization: Finding from China," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    3. Bo-Rui Yan & Qian-Li Dong & Qian Li & Fahim UI Amin & Jia-Ni Wu, 2021. "A Study on the Coupling and Coordination between Logistics Industry and Economy in the Background of High-Quality Development," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    4. Akhavan, Mina & Ghiara, Hilda & Mariotti, Ilaria & Sillig, Cécile, 2020. "Logistics global network connectivity and its determinants. A European City network analysis," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Hongbo Shi & Sang-Bing Tsai & Xiaowei Lin & Tianyi Zhang, 2017. "How to Evaluate Smart Cities’ Construction? A Comparison of Chinese Smart City Evaluation Methods Based on PSF," Sustainability, MDPI, vol. 10(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fei Ma & Yujie Zhu & Kum Fai Yuen & Qipeng Sun & Haonan He & Xiaobo Xu & Zhen Shang & Yan Xu, 2022. "Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network: A Public Search Attention Perspective," IJERPH, MDPI, vol. 19(1), pages 1-25, January.
    2. Shi An & Shaoliang Zhang & Huping Hou & Yiyan Zhang & Haonan Xu & Jie Liang, 2022. "Coupling Coordination Analysis of the Ecology and Economy in the Yellow River Basin under the Background of High-Quality Development," Land, MDPI, vol. 11(8), pages 1-19, August.
    3. Yitian Xing & Fue-Sang Lien & William Melek & Eugene Yee, 2022. "A Multi-Hour Ahead Wind Power Forecasting System Based on a WRF-TOPSIS-ANFIS Model," Energies, MDPI, vol. 15(15), pages 1-35, July.
    4. Wang, Mengmeng & Zhou, Tao, 2022. "Understanding the dynamic relationship between smart city implementation and urban sustainability," Technology in Society, Elsevier, vol. 70(C).
    5. Xiaohan Yan & Qun Sun, 2023. "How to Evaluate Ecological Civilization Construction and Its Regional Differences: Evidence from China," Sustainability, MDPI, vol. 15(16), pages 1-13, August.
    6. Beibei Hu & Airong Xu & Xianlei Dong, 2022. "Evaluating the Comprehensive Development Level and Coordinated Relationships of Urban Multimodal Transportation: A Case Study of China’s Major Cities," Land, MDPI, vol. 11(11), pages 1-28, November.
    7. Hang Jiang & Taipeng Sun & Beini Zhuang & Jiangqiu Wu, 2023. "Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    8. Ning Pang & Xiaoya Deng & Aihua Long & Lili Zhang & Xinchen Gu, 2022. "Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    9. Xiaojie Wang & Rongqing Han & Minghua Zhao, 2023. "Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    10. Yan Mei & Jingyi Miao & Yuhui Lu, 2022. "Digital Villages Construction Accelerates High-Quality Economic Development in Rural China through Promoting Digital Entrepreneurship," Sustainability, MDPI, vol. 14(21), pages 1-29, October.
    11. Andrea Ferrari & Giulio Mangano & Anna Corinna Cagliano & Alberto De Marco, 2023. "4.0 technologies in city logistics: an empirical investigation of contextual factors," Operations Management Research, Springer, vol. 16(1), pages 345-362, March.
    12. Yang, Dong & Li, Chengkun & Li, Lu & Lai, Kee-hung & Lun, Venus Y.H., 2022. "Maritime cluster relatedness and policy implications," Transport Policy, Elsevier, vol. 128(C), pages 76-88.
    13. Tao Zhou & Rui Ding & Yiming Du & Yilin Zhang & Shihui Cheng & Ting Zhang, 2022. "Study on the Coupling Coordination and Spatial Correlation Effect of Green Finance and High-Quality Economic Development—Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    14. Sławomira Hajduk, 2021. "Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities," Resources, MDPI, vol. 10(5), pages 1-23, May.
    15. Yang Lu & Longji Zeng, 2022. "How Do High-Speed Railways Facilitate High-Quality Urban Development: Evidence from China," Land, MDPI, vol. 11(9), pages 1-15, September.
    16. Peizhe Shi & Zhaohan Lu & Mengqing Zhou & Ning Wang & Yuping Wu, 2023. "Niche Suitability Evaluation and Path Selection for the High-Quality Development of Cities in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    17. Ma, Jun-Chao & Wang, Li & Jiang, Zhi-Qiang & Yan, Wanfeng & Zhou, Wei-Xing, 2021. "City logistics networks based on online freight orders in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    18. Jinde Jiang & Xiaobo Wang & Guoyin Xu & Shuhua Jiang & Jing Gu & Jing Zhang, 2023. "Exploring the Coupling Coordination and Spatial Correlation of Logistics Industry and Regional Economy in the Context of Sustainable Development: Evidence from the Yangtze River Delta Region," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    19. Weihua Gan & Wenpei Yao & Shuying Huang, 2022. "Evaluation of Green Logistics Efficiency in Jiangxi Province Based on Three-Stage DEA from the Perspective of High-Quality Development," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
    20. Xing Ying & Ping Ying, 2023. "Analysis of Green Development of Aquaculture in China Based on Entropy Method," Sustainability, MDPI, vol. 15(6), pages 1-13, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15652-:d:983190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.