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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 modifications to Regional Accounts used to construct regional and interregional Social Accounting Matrices (SAMs). It is argued that as the size of the basic areal unit used in studies declines, more traditional accounting approaches are no longer satisfactory. A three-dimensional spatial approach (termed two-by-two-by-two) to the identification of fundamental dimensions (commodity and factor market; geographical; and social accounts) has been developed in contrast to the more traditional non-spatial approach (termed two-by-two). This involves a novel approach using the geographical concepts of place of production for production activities, place of residence for institutions, marketplace for commodities and marketplace for factors. The use of these concepts permits accounting balances to be calculated at the spatial level. 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. 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," Economic Systems Research, Taylor & Francis Journals, vol. 17(2), pages 187-210.
    • Handle: RePEc:taf:ecsysr:v:17:y:2005:i:2:p:187-210
    DOI: 10.1080/09535310500114994
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    References listed on IDEAS

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    1. Chris Jensen‐Butler & Bjarne Madsen, 1996. "Modelling The Regional Economic Effects Of The Danish Great Belt Link," Papers in Regional Science, Wiley Blackwell, vol. 75(1), pages 1-21, January.
    2. Jeffrey Round, 2003. "Constructing SAMs for Development Policy Analysis: Lessons Learned and Challenges Ahead," Economic Systems Research, Taylor & Francis Journals, vol. 15(2), pages 161-183.
    3. Bjarne Madsen & Chris Jensen-Butler, 2002. "Regional Economic Modeling in Denmark: Construction of an Interregional SAM with Data at High Levels of Disaggregation, Subject to National Constraints," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & David Boyce (ed.), Trade, Networks and Hierarchies, chapter 24, pages 445-456, Springer.
    4. Hewings,Geoffrey J. D. & Madden,Moss (ed.), 1995. "Social and Demographic Accounting," Cambridge Books, Cambridge University Press, number 9780521465724, October.
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    Cited by:

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    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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