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A metropolitan input-output model: Multisectoral and multispatial relations of production, income formation, and consumption

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  • Myung-Jin Jun

Abstract

This study formulates a metropolitan input-output model (hereafter MIO) that incorporates the multispatial and multisectoral nature of an urban economic system. Two main features can be highlighted which distinguish the MIO model from other input-output models as applied to the urban context. The MIO model integrates information on intrametropolitan flows of people, commodities and services through the embedding approach within an input-output framework. Accordingly, the model has been built in one methodological framework (input-output framework) and operated by using one calculation system (inversion of input coefficient matrix), taking interspatial and intersectoral linkages into consideration. Another unique characteristic of the proposed model is that the input coefficient matrix of the MIO model consists of three partitioned matrices that have different spatial dimensions: interindustrial technical coefficients by place of production; the income coefficients by place of residence, and consumption coefficients by place of consumption. The MIO model can be applied for the impact analysis of a variety of urban policy evaluations. The main sets of results are derived as outputs from the MIO model: gross output and employment by zone, by sector, by income group, and by repercussion type. Copyright Springer-Verlag 2004

Suggested Citation

  • Myung-Jin Jun, 2004. "A metropolitan input-output model: Multisectoral and multispatial relations of production, income formation, and consumption," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(1), pages 131-147, March.
  • Handle: RePEc:spr:anresc:v:38:y:2004:i:1:p:131-147
    DOI: 10.1007/s00168-003-0138-9
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    Citations

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    Cited by:

    1. Haddad, Eduardo & Teixeira, Eliane, 2013. "Economic Impacts of Natural Disasters in Megacities: The Case of Floods in São Paulo, Brazil," TD NEREUS 4-2013, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    2. João-Pedro Ferreira & Pedro Ramos & Luís Cruz & Eduardo Barata, 2018. "The opportunity costs of commuting: the value of a commuting satellite account framework with an example from Lisbon Metropolitan Area," Economic Systems Research, Taylor & Francis Journals, vol. 30(1), pages 105-119, January.
    3. Myung-Jin Jun, 2012. "The effects of Seoul’s greenbelt on the spatial distribution of population and employment, and on the real estate market," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(3), pages 619-642, December.
    4. Haddad, Eduardo & Hewings, Geoffrey & Porsse, Alexandre & Van Leeuwen, Eveline & Vieira, Renato, 2013. "The Underground Economy: Tracking the Wider Impacts of the São Paulo Subway System," TD NEREUS 8-2013, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    5. Hermannsson, Kristinn & McIntyre, Stuart G., 2014. "Local consumption and territorial based accounting for CO2 emissions," Ecological Economics, Elsevier, vol. 104(C), pages 1-11.
    6. Myung-Jin Jun, 2012. "The Economic Costs and Transport Benefits of Seoul’s Industrial Land Use Controls," Urban Studies, Urban Studies Journal Limited, vol. 49(8), pages 1791-1810, June.
    7. Haddad, Eduardo A. & Hewings, Geoffrey J.D. & Porsse, Alexandre A. & Van Leeuwen, Eveline S. & Vieira, Renato S., 2015. "The underground economy: Tracking the higher-order economic impacts of the São Paulo Subway System," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 18-30.
    8. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    9. Myung‐Jin Jun, 2009. "Economic Impacts Of Seoul'S Job Decentralization: A Metropolitan Input–Output Analysis," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 311-327, May.
    10. Luis Cruz & Eduardo Barata & João-Pedro Ferreira & Luis Cruz & Pedro Ramos, 2015. "Flows associated with travel-to-work patterns in Metropolitan regions," EcoMod2015 8636, EcoMod.
    11. Myung-Jin Jun, 2005. "Forecasting Urban Land-Use Demand Using a Metropolitan Input-Output Model," Environment and Planning A, , vol. 37(7), pages 1311-1328, July.

    More about this item

    Keywords

    R12; R14; R15;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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