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A Decision Support System for Regional Sustainable Development: The Flag Model

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  • Peter Nijkamp
  • Hans Ouwersloot

    (Vrije Universiteit Amsterdam)

Abstract

This paper presents a new approach to the analysis of spatial sustainability, with a particular view on agriculture. After a methodological introduction, a new tool - the so-called Flag model - is introduced in order to assess the degree of sustainability of various policy alternatives. The model is tested by means of a case study for the island of Lesvos, Greece.

Suggested Citation

  • Peter Nijkamp & Hans Ouwersloot, 1997. "A Decision Support System for Regional Sustainable Development: The Flag Model," Tinbergen Institute Discussion Papers 97-074/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:19970074
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    File URL: https://papers.tinbergen.nl/97074.pdf
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    Cited by:

    1. Nijkamp, Peter, 1997. "Environmental security and sustainability in natural resource management: a decision support framework," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Francesca Medda & Peter Nijkamp, 1999. "A Combinatorial Assessment Methodology for Complex Policy Analysis," Tinbergen Institute Discussion Papers 99-040/3, Tinbergen Institute.
    3. Camagni, Roberto, 2009. "Territorial Impact Assessment for European regions: A methodological proposal and an application to EU transport policy," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 342-350, November.
    4. Nijkamp, Peter & Torrieri, Francesca, 2000. "A decision support system for assessing alternative projects for the design of a new road network : methodology and application of a case study," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    5. Forte, Fabiana & Nijkamp, Peter & Torrieri, Francesca, 2001. "Shared choices on local sustainability projects: a decision support framework," Serie Research Memoranda 0024, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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