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A new dataset of distance and time related transport costs for EU regions

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Abstract

Transport costs data are a key input for trade analysis and for industry-level studies focusing on spatial distribution and logistics. Surprisingly, good transport estimates at a detailed spatial level for the EU are not readily available. This Policy Insight presents a new freely available dataset containing estimates of distance and time related transport costs between all NUTS-2 EU regions. This Insight briefly illustrates both the main assumptions behind the construction of the dataset and its core characteristics. The estimates take into account both the time needed and the distance covered by a representative truck travelling along optimal routes between samples of points within the EU regions. The resulting dataset contains an origin-destination cost matrix in euros at the region pair level. Moreover, the sampling approach allows calculating average transport costs within each region. Both arithmetic and harmonic averages are considered - the latter may be more relevant for interaction modelling such as the estimation of trade gravity equations.

Suggested Citation

  • Damiaan Persyn & Jorge Diaz-Lanchas & Javier Barbero & Andrea Conte & Simone Salotti, 2020. "A new dataset of distance and time related transport costs for EU regions," JRC Research Reports JRC119412, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc119412
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC119412
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    1. Damiaan Persyn & Jorge Diaz-Lanchas & Javier Barbero, 2019. "Estimating road transport costs between EU regions," JRC Working Papers on Territorial Modelling and Analysis 2019-04, Joint Research Centre.
    2. Patrizio Lecca & Javier Barbero Jimenez & Martin Aaroe Christensen & Andrea Conte & Francesco Di Comite & Jorge Diaz-Lanchas & Olga Diukanova & Giovanni Mandras & Damiaan Persyn & Stylianos Sakkas, 2018. "RHOMOLO V3:A Spatial Modelling Framework," JRC Research Reports JRC111861, Joint Research Centre.
    3. Martin Christensen & Andrea Conte & Simone Salotti, 2019. "Horizon Europe: The RHOMOLO ex-ante assessment," JRC Research Reports JRC115437, Joint Research Centre.
    4. Mark Thissen & Olga Ivanova & Giovanni Mandras & Trond Husby, 2019. "European NUTS 2 regions: construction of interregional trade-linked Supply and Use tables with consistent transport flows," JRC Working Papers on Territorial Modelling and Analysis 2019-01, Joint Research Centre.
    5. Stylianos Sakkas & Andrea Conte & Simone Salotti, 2018. "The impact of the European Social Fund: The RHOMOLO assessment," JRC Research Reports JRC113328, Joint Research Centre.
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    More about this item

    Keywords

    rhomolo; region; growth; transport costs; regional distance; EU;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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