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The Role of Intraindustry Trade in Interregional Trade in the Midwest of the US

In: Globalization and Regional Economic Modeling

Author

Listed:
  • Darla K. Munroe

    (The Ohio State University)

  • Geoffrey J. D. Hewings

    (University of Illinois)

  • Dong Guo

    (Université de Bourgogne, Pôle d’Economie et de Gestion)

Abstract

The subject of international trade among countries has long been of concern to policy makers and academics alike. As economic activity has become more and more international in scope, the potential impact of international trade on regional economic growth and income distribution has become central to many studies. Within economics, the study of industrial organization, particularly with respect to imperfect competition and economies of scale and agglomeration, has influenced developments in international trade theory in the past few decades. In identifying the determinants of trade among countries, issues such as market size, relative level of Gross National Product (GNP) per capita, market structure, etc., have all become important, as well as the more traditional determinants of trade, e.g., relative capital and labor endowments. Furthermore, there has been an increasing realization of the role and influence of location in explaining trade and trade patterns (see Krugman, 1990; Fujita et al., 1999; Hanson, 1996; Martin, 1999, Venables et al., 2003)

Suggested Citation

  • Darla K. Munroe & Geoffrey J. D. Hewings & Dong Guo, 2007. "The Role of Intraindustry Trade in Interregional Trade in the Midwest of the US," Advances in Spatial Science, in: Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), Globalization and Regional Economic Modeling, chapter 6, pages 87-105, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-72444-5_6
    DOI: 10.1007/978-3-540-72444-5_6
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    Citations

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    Cited by:

    1. Sangcheol Song, 2015. "Inter-Country Exchange Rates and Intra-Firm Trade Flow Within Global Network of Multinational Corporations," Management International Review, Springer, vol. 55(1), pages 1-22, February.
    2. Jun Wan & Jae Hong Kim & Geoffrey J D Hewings, 2013. "Inspecting Regional Economic Structural Changes through Linking Occupations and Industries," Environment and Planning A, , vol. 45(3), pages 614-633, March.
    3. Geoffrey Hewings, 2008. "On some conundra in regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 251-265, June.
    4. Kieran Donaghy & Clifford R. Wymer & Geoffrey J. D. Hewings & Soo Jung Ha, 2017. "Structural change in the Chicago region and the impact on emission inventories in a continuous-time modeling approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-28, December.
    5. Jaewon Lim, 2011. "Does wage differential driven migration continue to exist? Tests on the role of regional economic structure in wage differential driven migration," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 213-233, August.
    6. Ha, Soo Jung & Hewings, Geoffrey & McGregor, Peter G & Swales, J Kim & Turner, Karen, 2010. "Econometric estimation of Armington import elasticities and their system-wide impact in a regional CGE model of the Illinois economy," Stirling Economics Discussion Papers 2010-19, University of Stirling, Division of Economics.
    7. Yi, Yoojin & Kim, Euijune, 2018. "Spatial economic impact of road and railroad accessibility on manufacturing output: Inter-modal relationship between road and railroad," Journal of Transport Geography, Elsevier, vol. 66(C), pages 144-153.
    8. repec:elg:eechap:14395_18 is not listed on IDEAS
    9. Halkos, George & Tsilika, Kyriaki, 2016. "Assessing classical input output structures with trade networks: A graph theory approach," MPRA Paper 72511, University Library of Munich, Germany.
    10. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.

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