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A new governance perspective on port–hinterland relationships: The Port Hinterland Impact (PHI) matrix

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  • Elvira Haezendonck

    (1] Department of Business, Faculty of Economic and Social Sciences, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, B-1050 Belgium. E-mails: elvira.haezendonck@vub.ac.be; michael.dooms@vub.ac.be; alain.verbeke@vub.ac.be[2] Department of Management, Faculty of Applied Economics, University of Antwerp, Belgium)

  • Michael Dooms

    (Department of Business, Faculty of Economic and Social Sciences, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, B-1050 Belgium. E-mails: elvira.haezendonck@vub.ac.be; michael.dooms@vub.ac.be; alain.verbeke@vub.ac.be)

  • Alain Verbeke

    (1] Department of Business, Faculty of Economic and Social Sciences, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, B-1050 Belgium. E-mails: elvira.haezendonck@vub.ac.be; michael.dooms@vub.ac.be; alain.verbeke@vub.ac.be[2] Haskayne School of Business, University of Calgary, Canada)

Abstract

We develop a new governance perspective on port–hinterland linkages and related port impacts. Many stakeholders in a port’s hinterland now demand tangible economic benefits from port activities, as a precondition for supporting port expansion and infrastructural investments. We use a governance lens to assess this farsighted contracting challenge. We find that most contemporary economic impact assessments of port investment projects pay scant attention to the contractual relationship challenges in port-hinterland relationships. In contrast, we focus explicitly on the spatial distribution of such impacts and the related contractual relationship issues facing port authorities or port users and their stakeholders in the port hinterland. We introduce a new concept, the Port Hinterland Impact (PHI) matrix, which focuses explicitly on the spatial distribution of port impacts and related contractual relationship challenges. The PHI matrix offers insight into port impacts using two dimensions: logistics dedicatedness, as an expression of Williamsonian asset specificity in the sphere of logistics contractual relationships, and geographic reach, with a longer reach typically reflecting the need for more complex contacting to overcome ‘distance’ challenges with external stakeholders. We use the PHI matrix in our empirical, governance-based analysis of contractual relationships between the port authorities in Antwerp and Zeebrugge, and their respective stakeholders.

Suggested Citation

  • Elvira Haezendonck & Michael Dooms & Alain Verbeke, 2014. "A new governance perspective on port–hinterland relationships: The Port Hinterland Impact (PHI) matrix," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(3), pages 229-249, September.
  • Handle: RePEc:pal:marecl:v:16:y:2014:i:3:p:229-249
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    Citations

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    Cited by:

    1. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    2. Daniela Ambrosino & Anna Sciomachen, 2021. "Impact of Externalities on the Design and Management of Multimodal Logistic Networks," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
    3. Behzad Behdani & Bart Wiegmans & Violeta Roso & Hercules Haralambides, 2020. "Port-hinterland transport and logistics: emerging trends and frontier research," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 1-25, March.
    4. Bruno Moeremans & Michaël Dooms, 2021. "An Exploration of Social License to Operate (SLTO) Measurement in the Port Industry: The Case of North America," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    5. Talley, Wayne K. & Ng, ManWo, 2017. "Hinterland transport chains: Determinant effects on chain choice," International Journal of Production Economics, Elsevier, vol. 185(C), pages 175-179.
    6. Yang, Jinglei & Luo, Meifeng & Ji, Abing, 2016. "Analyzing the spatial–temporal evolution of a gateway’s hinterland: A case study of Shanghai, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 355-367.
    7. Feng, Lin & Yuan, Liwei, 2017. "A developmental model on quantifying urban policy effectiveness in port city relations," MPRA Paper 81037, University Library of Munich, Germany.

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