Determinants of container port choice in Spain
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Container port competition
Logit model
Aggregated data
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For the economic and financial evaluation of port investment projects it is important to know the demand function of a port’s services. The objective of this study is to establish such a demand choice function for the Spanish container port services. The function is derived from the coefficients of a port choice model, for which a Multinomial Logit Model is used and of which the coefficients are estimated with regression analysis. The variables tested concern inland transport cost, ocean transport costs and broad proxy variables for quality of service. Information on container import and export flows for 2007 is from the Spanish Treasury Department. The linear regression analysis is based on differences of utilities of alternative routings of containerised cargoes compared to those routed via the Port of Valencia. The obtained results are satisfactorily in terms of model fit. The estimated coefficients can be used to assess the impact of changes in costs of container flows routed via a port on a port’s market share. A demand choice function for the port can be derived by systematically doing so. An example is presented for the port of Valencia.
For the economic and financial evaluation of port investment projects it is important to know the demand function of a port’s services. The objective of this study is to establish such a demand choice function for the Spanish container port services. The function is derived from the coefficients of a port choice model, for which a Multinomial Logit Model is used and of which the coefficients are estimated with regression analysis. The variables tested concern inland transport cost, ocean transport costs and broad proxy variables for quality of service. Information on container import and export flows for 2007 is from the Spanish Treasury Department. The linear regression analysis is based on differences of utilities of alternative routings of containerised cargoes compared to those routed via the Port of Valencia. The obtained results are satisfactorily in terms of model fit. The estimated coefficients can be used to assess the impact of changes in costs of container flows routed via a port on a port’s market share. A demand choice function for the port can be derived by systematically doing so. An example is presented for the port of Valencia.
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20111126
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