IDEAS home Printed from https://ideas.repec.org/p/ihs/ihsesp/188.html

Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows

Author

Listed:
  • LeSage, James P.

    (Department of Economics, University of Toledo)

  • Polasek, Wolfgang

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria)

Abstract

We introduce a regression-based gravity model for commodity flows between 35 regions in Austria. We incorporate information regarding the highway network into the spatial connectivity structure of the spatial autoregressive econometric model. We find that our approach produces improved model fit and higher likelihood values. The model accounts for spatial dependence in the origin-destination flows by introducing a spatial connectivity matrix that allows for three types of spatial dependence in the origins to destinations flows. We modify this origin-destination connectivity structure that was introduced by LeSage and Pace (2005) to include information regarding the presence or absence of a major highway/train corridor that passes through the regions. Empirical estimates indicate that the strongest spatial autoregressive effects arise when both origin and destination regions have neighboring regions located on the highway network. Our approach provides a formal spatial econometric methodology that can easily incorporate network connectivity information in spatial autoregressive models.

Suggested Citation

  • LeSage, James P. & Polasek, Wolfgang, 2006. "Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows," Economics Series 188, Institute for Advanced Studies.
    • Handle: RePEc:ihs:ihsesp:188
    as

    Download full text from publisher

    File URL: https://irihs.ihs.ac.at/id/eprint/1701
    File Function: First version, 2006
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Porojan, 2001. "Trade Flows and Spatial Effects: The Gravity Model Revisited," Open Economies Review, Springer, vol. 12(3), pages 265-280, July.
    2. Brian Cushing & Jacques Poot, 2004. "Crossing boundaries and borders: Regional science advances in migration modelling," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 317-338, Springer.
    3. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 19-40, Suppl. De.
    4. Olivier Parent & James Lesage, 2005. "Bayesian Model Averaging for Spatial Econometric Models," Post-Print hal-00375489, HAL.
    5. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    6. Ming-Long Lee & R. Kelley Pace, 2005. "Spatial Distribution of Retail Sales," The Journal of Real Estate Finance and Economics, Springer, vol. 31(1), pages 53-69, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koji Murayama & Jun Nagayasu & Lamia Bazzaoui, 2022. "Spatial Dependence, Social Networks, and Economic Structures in Japanese Regional Labor Migration," Sustainability, MDPI, vol. 14(3), pages 1-31, February.
    2. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    3. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    4. Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
    5. Katja Neugebauer, 2010. "Banks in Space: Does Distance Really Affect Cross-Border Banking?," Working Paper / FINESS 2.5, DIW Berlin, German Institute for Economic Research.
    6. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
    7. Nathan J. Ashby, 2007. "Economic Freedom and Migration Flows between U.S. States," Southern Economic Journal, Southern Economic Association, vol. 73(3), pages 677-697, January.
    8. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    9. Monique DANTAS & Frédéric GASCHET & Guillaume POUYANNE, 2010. "Regulatory zoning and coastal housing prices: a bayesian hedonic approach (In French)," Cahiers du GREThA (2007-2019) 2010-12, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    10. repec:rre:publsh:v:38:y:2008:i:1:p:105-11 is not listed on IDEAS
    11. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).
    12. Etzo, Ivan, 2010. "The determinants of the recent interregional migration flows in Italy: A panel data analysis," MPRA Paper 26245, University Library of Munich, Germany.
    13. James Paul LeSage & Manfred M. Fischer, 2020. "Cross-sectional dependence model specifications in a static trade panel data setting," Journal of Geographical Systems, Springer, vol. 22(1), pages 5-46, January.
    14. Georgios Fotopoulos & Helen Louri, 2011. "On the Geography of International Banking: a case for spatial econometrics?," ERSA conference papers ersa10p1081, European Regional Science Association.
    15. repec:wvu:wpaper:05-13 is not listed on IDEAS
    16. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    17. Bianca Biagi & Alessandra Faggian & Philip McCann, 2011. "Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(1), pages 111-131.
    18. Rasouli, Soora & Timmermans, Harry, 2013. "Assessment of model uncertainty in destinations and travel forecasts of models of complex spatial shopping behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 139-146.
    19. Deng, Minfeng & Athanasopoulos, George, 2011. "Modelling Australian domestic and international inbound travel: a spatial–temporal approach," Tourism Management, Elsevier, vol. 32(5), pages 1075-1084.
    20. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    21. Doppelhofer, Gernot & Weeks, Melvyn, 2011. "Robust Growth Determinants," Discussion Paper Series in Economics 3/2011, Norwegian School of Economics, Department of Economics.
    22. repec:diw:diwfin:diwfin02050 is not listed on IDEAS
    23. repec:osf:osfxxx:42vxn_v1 is not listed on IDEAS
    24. Manfred Fischer, 2012. "In honor of James P. LeSage," Journal of Geographical Systems, Springer, vol. 14(1), pages 1-4, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ihs:ihsesp:188. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Doris Szoncsitz (email available below). General contact details of provider: https://edirc.repec.org/data/deihsat.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.