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Transportation and logistics cluster competitive advantages in the U.S. regions: A cross-sectional and spatio-temporal analysis

Author

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  • Kumar, Indraneel
  • Zhalnin, Andrey
  • Kim, Ayoung
  • Beaulieu, Lionel J.

Abstract

This article applies spatial cluster and econometric analyses to study attributes of the transportation and logistics cluster regions across the continental U.S., focusing on jobs, clustering, and dispersal patterns. Two questions are examined: 1) Is transport and logistics specialization a primary feature of large urban metropolitan regions or do rural nonmetropolitan regions (be they micropolitan or noncore) have the capacity to support this type of cluster? 2) Does transport infrastructure explain jobs in the transportation and logistics cluster? The research employs a county level lattice data of transportation and logistics cluster jobs from 2008 to 2012 as well as transport infrastructure variables. The findings reveal that the transportation and logistics clusters are concentrated primarily in metropolitan areas, and to some degree, in nonmetropolitan regions of the U.S. In addition, the transport infrastructure is found to have a positive impact on jobs in the transportation and logistics clusters over the period of the study. Intermodals have the largest effect on jobs, followed by airports, annual average daily traffic on the National Highway Planning Network, railroads, and ports.

Suggested Citation

  • Kumar, Indraneel & Zhalnin, Andrey & Kim, Ayoung & Beaulieu, Lionel J., 2017. "Transportation and logistics cluster competitive advantages in the U.S. regions: A cross-sectional and spatio-temporal analysis," Research in Transportation Economics, Elsevier, vol. 61(C), pages 25-36.
    • Handle: RePEc:eee:retrec:v:61:y:2017:i:c:p:25-36
    DOI: 10.1016/j.retrec.2016.07.028
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    5. Liu, Sijing & He, Nannan & Cao, Xindan & Li, Guoqi & Jian, Ming, 2022. "Logistics cluster and its future development: A comprehensive research review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Vieira Tiago & Silva Ângela & Garcia Jorge Esparteiro & Alves Wellington, 2022. "Boosting Regional Socioeconomic Development through Logistics Activities: A Conceptual Model," Business Systems Research, Sciendo, vol. 13(3), pages 63-83, October.
    7. Shejun Deng & Yingying Yuan & Yong Wang & Haizhong Wang & Charles Koll, 2020. "Collaborative multicenter logistics delivery network optimization with resource sharing," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-31, November.
    8. Pengcheng Lv & Xiaodong Li & Haoyu Zhang & Xiang Liu & Lingzhang Kong, 2022. "Research on the Spatial and Temporal Distribution of Logistics Enterprises in Xinjiang and the Influencing Factors Based on POI Data," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    9. Koliousis, Ioannis G. & Papadimitriou, Stratos & Riza, Elena & Stavroulakis, Peter J. & Tsioumas, Vangelis, 2019. "Strategic correlations for maritime clusters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 43-57.
    10. Kang, Sanggyun, 2020. "Relative logistics sprawl: Measuring changes in the relative distribution from warehouses to logistics businesses and the general population," Journal of Transport Geography, Elsevier, vol. 83(C).
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    12. Chacon-Hurtado, Davis & Kumar, Indraneel & Gkritza, Konstantina & Fricker, Jon D. & Beaulieu, Lionel J., 2020. "The role of transportation accessibility in regional economic resilience," Journal of Transport Geography, Elsevier, vol. 84(C).

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