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Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows

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Author Info

  • James Paul Lesage
  • Wolfgang Polasek

Abstract

Abstract We use a spatial econometric extension of the traditional regression-based gravity model to model commodity flows, focusing on a formal methodology for incorporating information regarding the highway network into the spatial connectivity structure of the spatial autoregressive econometric model. We show that our simple approach to incorporating this information in the model produces improved model fit and higher likelihood function values. Empirical estimates of the relative importance of the different types of origin–destination connectivity between regions indicates that the strongest spatial autoregressive effects arise when both origin and destination regions have neighbouring regions located on the highway network.

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File URL: http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770801996672
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 3 (2008)
Issue (Month): 2 ()
Pages: 225-245

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Handle: RePEc:taf:specan:v:3:y:2008:i:2:p:225-245

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Related research

Keywords: Commodity flows; spatial autoregression; corridor weights; C11; C13; C21; R11;

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References

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  1. Brian Cushing & Jacques Poot, 2003. "Crossing boundaries and borders: Regional science advances in migration modelling," Economics of Governance, Springer, vol. 83(1), pages 317-338, October.
  2. 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.
  3. Olivier Parent & James P. Lesage, 2007. "Bayesian Model Averaging for Spatial Econometric Models ," University of Cincinnati, Economics Working Papers Series 2007-02, University of Cincinnati, Department of Economics.
  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. 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.
  6. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S19-40, Suppl. De.
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Citations

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Cited by:
  1. Katharina Pijnenburg & Konstantin A. Kholodilin, 2011. "Do Regions with Entrepreneurial Neighbors Perform Better? A Spatial Econometric Approach for German Regions," ERSA conference papers ersa11p58, European Regional Science Association.
  2. Shuangzhe Liu & Tiefeng Ma & Wolfgang Polasek, 2012. "Spatial System Estimators for Panel Models: A Sensitivity and Simulation Study," Working Paper Series 75_12, The Rimini Centre for Economic Analysis.
  3. repec:asg:wpaper:1013 is not listed on IDEAS
  4. 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).
  5. Laura M√°rquez-Ramos & Luisa Alam√°-Sabater, 2011. "Spanish exports and logistics needs. A spatial marked point pattern approach," ERSA conference papers ersa10p1475, European Regional Science Association.
  6. 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.
  7. 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.
  8. 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.
  9. 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.

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