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Spatial accounting methods and the construction of spatial Social Accounting Matrices

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  • Bjarne Madsen
  • Chris Jensen-Butler

Abstract

The paper examines adaptations to regional accounts used to construct regional and interregional Social Accounting Matrices (SAMs). Balancing procedures for commodities and factors are transferred from National to Regional accounts and procedures to construct spatial data on interaction are also included in the data-building process. Both involve a novel approach using the geographical concepts of place of production for production activities, place of residence for institutions, market place for commodities and market place for factors. The use of these concepts permits accounting balances to be calculated at the spatial level. It is argued that as the size of basic areal unit used in studies declines, more traditional accounting approaches are no longer satisfactory. The theoretical basis of the spatial regional accounting model is presented and an example of the construction of a Danish Interregional SAM (SAM-K) is examined, where particular attention is given to data requirements, showing that these are much more modest than generally assumed.

Suggested Citation

  • Bjarne Madsen & Chris Jensen-Butler, 2005. "Spatial accounting methods and the construction of spatial Social Accounting Matrices," ERSA conference papers ersa05p328, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa05p328
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/328.pdf
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    References listed on IDEAS

    as
    1. Hewings,Geoffrey J. D. & Madden,Moss (ed.), 1995. "Social and Demographic Accounting," Cambridge Books, Cambridge University Press, number 9780521465724, September.
    2. Bjarne Madsen & Chris Jensen-Butler, 1999. "Make and Use Approaches to Regional and Interregional Accounts and Models," Economic Systems Research, Taylor & Francis Journals, vol. 11(3), pages 277-300.
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    Cited by:

    1. 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.
    2. Gunnar Lindberg, 2011. "On the appropriate use of (input-output) coefficients to generate non-survey regional input-output tables: Implications for the determination of output multipliers," ERSA conference papers ersa10p800, European Regional Science Association.
    3. J.-P. Ferreira & P. Ramos & L. Cruz & E. Barata, 2017. "Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario," Journal of Geographical Systems, Springer, vol. 19(4), pages 301-317, October.
    4. 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.
    5. Mattia Cai, 2021. "Doubly constrained gravity models for interregional trade estimation," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 455-474, April.
    6. Javakhishvili-Larsen, Nino & Zhang, Jie, 2019. "Differences in Regional Productivity and Imbalance in Regional Growth," OSF Preprints kur6t, Center for Open Science.
    7. repec:ebl:ecbull:v:15:y:2007:i:17:p:1-14 is not listed on IDEAS
    8. Sanjaya Acharya, 2007. "Flow Structure in Nepal and the Benefit to the Poor," Economics Bulletin, AccessEcon, vol. 15(17), pages 1-14.

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