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An Evaluation of Method for Constructing Commodity by Industry Flow Matrices

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  • Schwarm, Walter R.
  • Jackson, Randall W.
  • Okuyama, Yasuhide

Abstract

The lack of consistent, reliable data on interregional trade and interindustry transactions hampers complete analysis of regional models. This study implements and tests interindustry transaction flows in a national system of economic regions derived from an interregional accounting framework and initial information on interregional shipments. The method used to construct an interregional Commodity by Industry Flow matrix for the United States involves the construction of single-state SAMs. The interregional flows connecting states are estimated using a method based on the Commodity Flow Survey data published by the Bureau of Transportation Statistics, which adjusts the estimated interregional SAM to insure the integrity of intraregional and system-wide, national accounts. This paper presents the results of exercises testing the validity of the resulting interregional trade-flow data using, among other data sources, the CFS itself, the FAFD and S&P/DRI regional estimates. The model is tested is a US interregional framework describing flows within and among the 50 states and the District of Colombia.

Suggested Citation

  • Schwarm, Walter R. & Jackson, Randall W. & Okuyama, Yasuhide, 2006. "An Evaluation of Method for Constructing Commodity by Industry Flow Matrices," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1), pages 1-10.
  • Handle: RePEc:ags:jrapmc:132317
    DOI: 10.22004/ag.econ.132317
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    1. Randall Jackson & Walter Schwarm & Yasuhide Okuyama & Samia Islam, 2006. "A method for constructing commodity by industry flow matrices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(4), pages 909-920, December.
    2. 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.
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    8. R E Miller & G Shao, 1990. "Spatial and Sectoral Aggregation in the Commodity-Industry Multiregional Input-Output Model," Environment and Planning A, , vol. 22(12), pages 1637-1656, December.
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    Cited by:

    1. Ghemawat, Pankaj & Llano, Carlos & Requena, Francisco, 2010. "Competitiveness and interregional as well as international trade: The case of Catalonia," International Journal of Industrial Organization, Elsevier, vol. 28(4), pages 415-422, July.
    2. Alan T. Murray, 2010. "Quantitative Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 143-163, February.
    3. Joao Pedro Ferreira & Pedro Ramos & Luis Cruz & Eduardo Barata, 2013. "Metropolitan Multiregional Input-Output Modelling Framework," ERSA conference papers ersa13p938, European Regional Science Association.
    4. Dapeng Zhang & Xiaokun (Cara) Wang, 2020. "Investigation of Freight Agents’ Interaction Considering Partner Selection and Joint Decision Making," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    5. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    6. Randall Jackson & Walter Schwarm, 2011. "Accounting foundations for interregional commodity-by-industry input-output models," Letters in Spatial and Resource Sciences, Springer, vol. 4(3), pages 187-196, October.
    7. Michael L. Lahr & João Pedro Ferreira & Johannes R. Többen, 2020. "Intraregional trade shares for goods‐producing industries: RPC estimates using EU data," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1583-1605, December.
    8. Andrzej Torój, 2016. "Regional Economic Impact Assessment with Missing Input-Output Data: A Spatial Econometrics Approach for Poland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 61-91, June.
    9. Nuria Gallego & Carlos Llano, 2014. "The Border Effect and the Nonlinear Relationship between Trade and Distance," Review of International Economics, Wiley Blackwell, vol. 22(5), pages 1016-1048, November.
    10. Darlington Agbonifi & Daniele Cufari & Riccardo Magnani & Francesco Pecci & Federico Perali & Pasquale Lucio Scandizzo, 2023. "The Intra and Multi-Regional Impact of a Local PNRR Project using a Multi-Regional SAM Model of Italy," Working Papers 15, SITES.
    11. Mattia Cai, 2021. "Doubly constrained gravity models for interregional trade estimation," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 455-474, April.
    12. JiYoung Park & Peter Gordon & James Moore & Harry Richardson, 2009. "A two-step approach to estimating state-to-state commodity trade flows," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(4), pages 1033-1072, December.
    13. Marc Mueller & Emanuele Ferrari, 2012. "Social Accounting Matrices and Satellite Accounts for EU27 on NUTS2 Level (SAMNUTS2)," JRC Research Reports JRC73088, Joint Research Centre.
    14. Dudensing, Rebekka & Guerrero, Bridget & Amosson, Steve, 2019. "Evaluating the Accuracy of Regional Economic Impact Estimates: Considering a 2013 Beef Plant Closure in Texas," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 49(1), May.
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    16. 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.
    17. Erik Dietzenbacher & Manfred Lenzen & Bart Los & Dabo Guan & Michael L. Lahr & Ferran Sancho & Sangwon Suh & Cuihong Yang, 2013. "Input--Output Analysis: The Next 25 Years," Economic Systems Research, Taylor & Francis Journals, vol. 25(4), pages 369-389, December.

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