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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
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    File URL: http://www.ihs.ac.at/publications/eco/es-188.pdf
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    References listed on IDEAS

    as
    1. Brian Cushing & Jacques Poot, 2003. "Crossing boundaries and borders: Regional science advances in migration modelling," Papers in Regional Science, Springer;Regional Science Association International, vol. 83(1), pages 317-338, October.
    2. Olivier Parent & James Lesage, 2005. "Bayesian Model Averaging for Spatial Econometric Models," Post-Print hal-00375489, HAL.
    3. 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.
    4. A. Porojan, 2001. "Trade Flows and Spatial Effects: The Gravity Model Revisited," Open Economies Review, Springer, vol. 12(3), pages 265-280, July.
    5. 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.
    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.
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    Citations

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    Cited by:

    1. Laura Márquez-Ramos & Luisa Alamá-Sabater, 2011. "Spanish exports and logistics needs. A spatial marked point pattern approach," ERSA conference papers ersa10p1475, European Regional Science Association.
    2. Adjemian, Michael K. & Cynthia Lin, C.-Y. & Williams, Jeffrey, 2010. "Estimating spatial interdependence in automobile type choice with survey data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 661-675, November.
    3. Luisa Alamá Sabater & Laura Marquez Ramos & Celestino Suarez Burguet, 2011. "Regional Trade and Logistics Infrastructure: A Spatial Approach," ERSA conference papers ersa11p1737, European Regional Science Association.
    4. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    5. Laura Márquez-Ramos, 2016. "Port facilities, regional spillovers and exports: Empirical evidence from Spain," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 329-351, June.
    6. Katharina Pijnenburg & Konstantin A. Kholodilin, 2014. "Do Regions with Entrepreneurial Neighbours Perform Better? A Spatial Econometric Approach for German Regions," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 866-882, May.
    7. Liu, Shuangzhe & Ma, Tiefeng & Polasek, Wolfgang, 2014. "Spatial system estimators for panel models: A sensitivity and simulation study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 101(C), pages 78-102.
    8. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    9. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
    10. Luisa Alamá-Sabater & Laura Márquez-Ramos & Celestino Suárez-Burguet & J. Miguel Navarro-Azorín, 2012. "Interregional Trade and Transport Connectivity. An Analysis of Spatial Dependence," Working Papers 2012/20, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. repec:asg:wpaper:1013 is not listed on IDEAS
    12. repec:oup:jecgeo:v:18:y:2018:i:1:p:87-110. is not listed on IDEAS
    13. Tom Broekel & Pierre-Alexandre Balland & Martijn Burger & Frank Oort, 2014. "Modeling knowledge networks in economic geography: a discussion of four methods," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 423-452, September.
    14. Llano, C. & De la Mata, T. & Díaz-Lanchas, J. & Gallego, N., 2017. "Transport-mode competition in intra-national trade: An empirical investigation for the Spanish case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 334-355.
    15. Márquez-Ramos , Laura, 2016. "Regionalism, subnational variation and gravity: A four-country tale," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 35, pages 7-36.

    More about this item

    Keywords

    Commodity flows; Spatial autoregression; Bayesian; Maximum likelihood; Spatial connectivity of origin-destination flows;

    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

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