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Construction of a multi-regional input-output table for Nagoya metropolitan area, Japan

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  • Mitsuo Yamada

Abstract

Japan has many input-output tables, national and regional. We focus on the Nagoya metropolitan area, in which Toyota Motors is headquartered along with many industries manufacturing transport equipment, machine tools and other machinery. This area is included in the region covered by three prefectures; Aichi, Gifu, and Mie. To construct a multi-regional input-output table from these prefectures, we first break down each prefecture table with 186 sectors into several smaller sub-regional tables. Then we combine each table into one multi-regional input output table, consisting of 14 sub-regions. Transaction values among sub-regions of each sector are estimated by the gravity-RAS method, in which the initial values are obtained by the gravity model. Using the multi-regional table, we discuss the structural characteristics of the Nagoya metropolitan area. We then show a way to cope with the various inconsistencies of regional definitions, administrative and economic, in the input-output analysis. Copyright Yamada. 2015

Suggested Citation

  • Mitsuo Yamada, 2015. "Construction of a multi-regional input-output table for Nagoya metropolitan area, Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-18, December.
    • Handle: RePEc:spr:jecstr:v:4:y:2015:i:1:p:1-18:10.1186/s40008-015-0022-7
    DOI: 10.1186/s40008-015-0022-7
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    References listed on IDEAS

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    1. Ana L.M. Sargento & Pedro Nogueira Ramos & Geoffrey J.D. Hewings, 2012. "Inter-Regional Trade Flow Estimation Through Non-Survey Models: An Empirical Assessment," Economic Systems Research, Taylor & Francis Journals, vol. 24(2), pages 173-193, March.
    2. Satoshi Nakano & Kazuhiko Nishimura, 2013. "A nonsurvey multiregional input–output estimation allowing cross-hauling: partitioning two regions into three or more parts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 935-951, June.
    3. Tobias Kronenberg, 2009. "Construction of Regional Input-Output Tables Using Nonsurvey Methods," International Regional Science Review, , vol. 32(1), pages 40-64, January.
    4. Erik Dietzenbacher & Isidoro Romero, 2007. "Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths," International Regional Science Review, , vol. 30(4), pages 362-383, October.
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    Cited by:

    1. Glyn Wittwer & Mark Horridge, 2018. "Prefectural Representation of the Regions of China in a Bottom-up CGE Model: SinoTERM365," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(2), pages 178-213, December.
    2. Balster, Andreas & Friedrich, Hanno, 2019. "Dynamic freight flow modelling for risk evaluation in food supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 4-22.
    3. Gabela, Julio Gustavo Fournier, 2020. "On the accuracy of gravity-RAS approaches used for inter-regional trade estimation: evidence using the 2005 inter-regional input–output table of Japan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(4), pages 521-539.

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    More about this item

    Keywords

    Multi-regional input-output table; Gravity-RAS method; Average Propagation Lengths; Nagoya metropolitan area; Crosshauling; R15; R12;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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