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Constructing Regional Supply and Use Tables: Dutch Experiences

In: Understanding and Interpreting Economic Structure

Author

Listed:
  • Gerard Eding

    (University of Groningen)

  • Jan Oosterhaven

    (University of Groningen)

  • Bas Vet

    (Statistics Netherlands)

  • Henk Nijmeijer

    (Statistics Netherlands)

Abstract

At present, two major and seemingly contrasting developments are visible: the increasing degree of economic integration between nations and the growing interest in regional economic development. The former development culminated in a wide variety of economic co-operations such as the creation of the EU in Europe and NAFTA in North America. The former resulted in all kinds of economic aid for ‘economically less developed’ regions, such as the objective 1, 2 and 5b programs of the EU (Commission of the European Communities, 1991 and 1994). The (renewed) interest in regions also increases the need for empirical data on regional economic performance and regional economic structure. In recent years this data need has been fulfilled by all kinds of statistics, ranging from income data to regional economic data on industrial production and value added. However, with eligibility criteria for economic aid being constantly tightened, the need for regional economic structure and performance analysis increases simultaneously. Besides, the need for modeling regional economies has grown stronger in recent years. Hence, more suitable and flexible statistics for all of these purposes have to be developed.

Suggested Citation

  • Gerard Eding & Jan Oosterhaven & Bas Vet & Henk Nijmeijer, 1999. "Constructing Regional Supply and Use Tables: Dutch Experiences," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & Moss Madden & Yoshio Kimura (ed.), Understanding and Interpreting Economic Structure, chapter 12, pages 237-262, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-03947-2_12
    DOI: 10.1007/978-3-662-03947-2_12
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    Citations

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    Cited by:

    1. repec:dgr:rugsom:02c14 is not listed on IDEAS
    2. Sharada Nia Davidson & James Black & Kevin Connolly & Mairi Spowage, 2022. "Improving the Quality of Regional Economic Indicators in the UK: A Framework for the Production of Supply and Use and Input Output Tables for the Four Nations," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-14, Economic Statistics Centre of Excellence (ESCoE).
    3. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    4. Louis Mesnard, 2011. "Negatives in symmetric input–output tables: the impossible quest for the Holy Grail," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(2), pages 427-454, April.
    5. Randall Jackson & Walter Schwarm & Yasuhide Okuyama & Samia Islam, 2006. "A method for constructing commodity by industry flow matrices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(4), pages 909-920, December.
    6. Romp, W.E. & Oosterhaven, J., 2002. "Indirect economic effects of a rail link along the afsluitdijk," Research Report 02C14, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    7. Jan Oosterhaven & Gerard Eding & Dirk Stelder, 2001. "Clusters, Linkages and Interregional Spillovers: Methodology and Policy Implications for the Two Dutch Mainports and the Rural North," Regional Studies, Taylor & Francis Journals, vol. 35(9), pages 809-822.
    8. repec:dgr:rugsom:04c22 is not listed on IDEAS
    9. J. Elhorst & Jan Oosterhaven, 2006. "Forecasting the impact of transport improvements on commuting and residential choice," Journal of Geographical Systems, Springer, vol. 8(1), pages 39-59, March.
    10. Koopmans, Carl & Oosterhaven, Jan, 2011. "SCGE modelling in cost-benefit analysis: The Dutch experience," Research in Transportation Economics, Elsevier, vol. 31(1), pages 29-36.
    11. Kambale Kavese & Andrew Phiri, 2019. "Microsimulations of a dynamic SUT economy-wide Leontief-based model for the South African economy," Working Papers 1910, Department of Economics, Nelson Mandela University, revised Nov 2019.
    12. E. E. Koks & M. Bočkarjova & H. de Moel & J. C. J. H. Aerts, 2015. "Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 882-900, May.
    13. repec:elg:eechap:14395_18 is not listed on IDEAS
    14. Knaap, Thijs & Oosterhaven, Jan, 2011. "Measuring the welfare effects of infrastructure: A simple spatial equilibrium evaluation of Dutch railway proposals," Research in Transportation Economics, Elsevier, vol. 31(1), pages 19-28.
    15. Elhorst, J. Paul & Oosterhaven, Jan & Romp, Ward E., 2001. "Integral cost-benefit analysis of Maglev technology under market imperfections," Research Report 04C22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    16. Oosterhaven, Jan & Romp, Ward E. & Elhorst, J. Paul, 2002. "Integral assessment of urban conglomeration versus centre-periphery maglev rail systems under market imperfections," ERSA conference papers ersa02p008, European Regional Science Association.

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