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

Damiaan Persyn, Jorge Diaz-Lanchas, Javier Barbero, Andrea Conte and Simone Salotti

No JRC119412, JRC Research Reports from Joint Research Centre

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.

Keywords: rhomolo; region; growth; transport costs; regional distance; EU (search for similar items in EconPapers)
JEL-codes: C82 R12 R40 R41 (search for similar items in EconPapers)
Pages: 4 pages
Date: 2020-01
New Economics Papers: this item is included in nep-geo, nep-tre and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:ipt:iptwpa:jrc119412

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