The price of proximity: analysing distance-based fare structures in liberalised Greek coastal shipping

This article examines whether passenger fares in Greek coastal shipping remain distance-driven after market liberalisation. Using a harmonised 2025 cross-section of 52 non-PSO routes (i.e. routes not operated under Public Service Obligation—PSO—contracts), we measure the association between the lowest economy-class passenger fare and distance, compare 11 curve families, and derive a route-level fare benchmark. A no-intercept power function emerges as the empirically preferred specification. For high-speed services (S), distance explains 99.3% of fare variation; for conventional ships (CS), 99.6%. In both cases the estimated elasticity is below unity, so fares rise with distance but less than proportionally, implying a declining €/nm profile. Market concentration, measured via route-level Herfindahl–Hirschman indices (HHI) based on frequencies and capacities, places almost all lines in the “highly concentrated” range, with many effective monopolies. The average model-implied benchmark fare per nm is €0.72 for S and €0.33 for CS. The benchmark is a descriptive statistical construct that summarises the observed distance–fare pattern in a concentrated market. It is not a regulatory target and should be interpreted alongside information on costs, service quality and demand.

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Publication Details

Journal
Public Transport
Published
2026-03-24
DOI
https://doi.org/10.1007/s12469-026-00422-4
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
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article

The price of proximity: analysing distance-based fare structures in liberalised Greek coastal shipping

Public Transport
Maritime Ports and Logistics
article

The price of proximity: analysing distance-based fare structures in liberalised Greek coastal shipping

article en

Abstract

This article examines whether passenger fares in Greek coastal shipping remain distance-driven after market liberalisation. Using a harmonised 2025 cross-section of 52 non-PSO routes (i.e. routes not operated under Public Service Obligation—PSO—contracts), we measure the association between the lowest economy-class passenger fare and distance, compare 11 curve families, and derive a route-level fare benchmark. A no-intercept power function emerges as the empirically preferred specification. For high-speed services (S), distance explains 99.3% of fare variation; for conventional ships (CS), 99.6%. In both cases the estimated elasticity is below unity, so fares rise with distance but less than proportionally, implying a declining €/nm profile. Market concentration, measured via route-level Herfindahl–Hirschman indices (HHI) based on frequencies and capacities, places almost all lines in the “highly concentrated” range, with many effective monopolies. The average model-implied benchmark fare per nm is €0.72 for S and €0.33 for CS. The benchmark is a descriptive statistical construct that summarises the observed distance–fare pattern in a concentrated market. It is not a regulatory target and should be interpreted alongside information on costs, service quality and demand.

Public Transport
Hellenic Mediterranean University (GR)
Life below water
Openalex Percentile: Top 9%
Maritime Ports and Logistics
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