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Unpacking freight – Identifying conditions driving regional freight transport in statistics

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  • Lankhuizen, Maureen
  • Boonstra, Harm Jan
  • de Blois, Chris

Abstract

Statistical information on freight transport does not adequately capture developments in practice. This paper applies a Bayesian framework to integrate statistics on regional freight transport with data on regional trade. The resulting data describe freight transport in the Netherlands at the NUTS 3 regional level by NSTR commodity groups, and by type of flow. We distinguish intraregional transport, regional exports and imports, international exports and imports, and regional transit. The contribution of this paper is that conditions driving regional transport flows are reflected more clearly in the data. The results show the relative importance of logistic processes in regional transport in the Netherlands. Similarly, specific regional production patterns are also reflected in the data. The results contribute to the development of more evidence-based, region-specific freight strategies.

Suggested Citation

  • Lankhuizen, Maureen & Boonstra, Harm Jan & de Blois, Chris, 2020. "Unpacking freight – Identifying conditions driving regional freight transport in statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 415-435.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:415-435
    DOI: 10.1016/j.tra.2019.11.025
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    References listed on IDEAS

    as
    1. David L. Hummels & Georg Schaur, 2013. "Time as a Trade Barrier," American Economic Review, American Economic Association, vol. 103(7), pages 2935-2959, December.
    2. Tomoya Mori, 2012. "Increasing returns in transportation and the formation of hubs," Journal of Economic Geography, Oxford University Press, vol. 12(4), pages 877-897, July.
    3. Anthony T. Flegg & Timo Tohmo, 2016. "Estimating Regional Input Coefficients and Multipliers: The Use of FLQ is Not a Gamble," Regional Studies, Taylor & Francis Journals, vol. 50(2), pages 310-325, February.
    4. James E. Anderson & Eric van Wincoop, 2003. "Gravity with Gravitas: A Solution to the Border Puzzle," American Economic Review, American Economic Association, vol. 93(1), pages 170-192, March.
    5. Behrens, Kristian & Gaigné, Carl & Thisse, Jacques-François, 2009. "Industry location and welfare when transport costs are endogenous," Journal of Urban Economics, Elsevier, vol. 65(2), pages 195-208, March.
    6. Behrens, Kristian & Gaigne, Carl & Ottaviano, Gianmarco I.P. & Thisse, Jacques-Francois, 2006. "How density economies in international transportation link the internal geography of trading partners," Journal of Urban Economics, Elsevier, vol. 60(2), pages 248-263, September.
    7. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, December.
    8. Tobias Kronenberg, 2009. "Construction of Regional Input-Output Tables Using Nonsurvey Methods," International Regional Science Review, , vol. 32(1), pages 40-64, January.
    9. Maureen Lankhuizen & Thomas De Graaff & Henri De Groot, 2012. "Product Heterogeneity, Intangible Barriers & Distance Decay: The effect of multiple dimensions of distance on trade across different product categories," ERSA conference papers ersa12p151, European Regional Science Association.
    10. Anthony T. Flegg & Timo Tohmo, 2013. "Regional Input--Output Tables and the FLQ Formula: A Case Study of Finland," Regional Studies, Taylor & Francis Journals, vol. 47(5), pages 703-721, May.
    11. Andrea Bonfiglio, 2009. "On The Parameterization Of Techniques For Representing Regional Economic Structures," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 115-127.
    12. Gerard de Jong & Reto Tanner & Jeppe Rich & Mikkel Thorhauge & Otto Anker Nielsen & John Bates, 2017. "Modelling production-consumption flows of goods in Europe: the trade model within Transtools3," Journal of Shipping and Trade, Springer, vol. 2(1), pages 1-23, December.
    13. Anne-Célia Disdier & Keith Head, 2008. "The Puzzling Persistence of the Distance Effect on Bilateral Trade," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 37-48, February.
    14. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    15. Arjan Lejour & J.W. de Paiva Verheijden, 2004. "Services trade within Canada and the European Union; what do they have in common?," CPB Discussion Paper 42, CPB Netherlands Bureau for Economic Policy Analysis.
    16. Arjan Lejour & J.W. de Paiva Verheijden, 2004. "Services trade within Canada and the European Union; what do they have in common?," CPB Discussion Paper 42.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Patrick Canning & Zhi Wang, 2005. "A Flexible Mathematical Programming Model to Estimate Interregional Input–Output Accounts," Journal of Regional Science, Wiley Blackwell, vol. 45(3), pages 539-563, August.
    18. Mark Thissen & Maureen Lankhuizen & Frank (F.G.) van Oort & Bart Los & Dario Diodato, 2018. "EUREGIO: The construction of a global IO DATABASE with regional detail for Europe for 2000-2010," Tinbergen Institute Discussion Papers 18-084/VI, Tinbergen Institute.
    19. Timo Tohmo, 2004. "New Developments in the Use of Location Quotients to Estimate Regional Input-Output Coefficients and Multipliers," Regional Studies, Taylor & Francis Journals, vol. 38(1), pages 43-54.
    20. Lindall, Scott A. & Olson, Douglas C. & Alward, Gregory S., 2006. "Deriving Multi-Regional Models Using the IMPLAN National Trade Flows Model," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1), pages 1-8.
    21. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using CHARM to adjust for cross-hauling: the case of the Province of Hubei, China," Working Papers 20151506, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    22. A. T. Flegg & C. D. Webber, 1997. "On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply," Regional Studies, Taylor & Francis Journals, vol. 31(8), pages 795-805.
    23. Maureen B. M. Lankhuizen & Thomas De Graaff & Henri L. F. de Groot, 2015. "Product Heterogeneity, Intangible Barriers and Distance Decay: The Effect of Multiple Dimensions of Distance on Trade across Different Product Categories," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(2), pages 137-159, June.
    24. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei, China," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 391-413, September.
    25. Harm Jan H. Boonstra & Chris J. de Blois & Gert‐Jan M. Linders, 2011. "Macro‐integration with inequality constraints: an application to the integration of transport and trade statistics," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(4), pages 407-431, November.
    26. Chris Bachmann & Chris Kennedy & Matthew Roorda, 2015. "Estimating regional trade flows using commercial vehicle survey data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 855-876, May.
    27. McCann, Philip, 2013. "Modern Urban and Regional Economics," OUP Catalogue, Oxford University Press, edition 2, number 9780199582006.
    28. A. T. Flegg & C. D. Webber, 2000. "Regional Size, Regional Specialization and the FLQ Formula," Regional Studies, Taylor & Francis Journals, vol. 34(6), pages 563-569.
    29. Andrea Bonfiglio & Francesco Chelli, 2008. "Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 243-258.
    30. Randall Jackson, 1998. "Regionalizing National Commodity-by-Industry Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 10(3), pages 223-238.
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    More about this item

    Keywords

    Freight transport; Statistics; Regional trade; Bayesian model; Evidence-based policymaking;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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