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Integrating models for regional development decisions: A policy perspective

Author

Listed:
  • Mustafa Dinc
  • Kingsley E. Haynes
  • Murat Tarimcilar

Abstract

This paper develops and demonstrates a combined set of models to capture regional development decision processes. The results of the models are then integrated along with other socio-political factors within a policy relevant decision methodology framework. The Haynes and Dinc (1997) extension of the shift-share model identifies regional industrial sectors for analysis based on their scale, productivity and sources of productivity change. By employing Data Envelopment Analysis (DEA), the efficiency of these lead sectors is investigated and the future competitiveness of these sectors is evaluated. By incorporating input-output analysis the impact of inter-sectoral transactions on sectoral efficiency is assessed. Since in most cases state economic development planning and implementation processes also involve political judgements, based on the findings of the above models, the study suggests a decision support framework which combines the above mentioned quantitative tools with other qualitative decision factors. An Analytical Hierarchy Process (AHP) is employed as a multi-objective decision making device to integrate the relevant policy components. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Mustafa Dinc & Kingsley E. Haynes & Murat Tarimcilar, 2003. "Integrating models for regional development decisions: A policy perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 31-53, February.
    • Handle: RePEc:spr:anresc:v:37:y:2003:i:1:p:31-53
    DOI: 10.1007/s001680200093
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    Citations

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    Cited by:

    1. Kopainsky, Birgit & Buser, Benjamin & Rieder, Peter, 2005. "Who Replaces Agriculture's Contribution to Settlement in Lagging Rural Areas? An Integrated Input-Output and Dynamic Simulation Analysis," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24586, European Association of Agricultural Economists.
    2. Subejo & Fidiashtry Al & Marfai Muh Aris & Aryudiawan Candra & Suadi & Awaluddin L, 2017. "Food insecurity as a basis for drafting a Strategic Food Sovereignty Plan: A case study of the Kutai Kartanegara District, Indonesia," Quaestiones Geographicae, Sciendo, vol. 36(4), pages 141-158, December.
    3. Dariusz Wozniak & Piotr Czarnecki & Robert Szarota, 2011. "The analysis of convergence process of voivodships' efficiency in Poland using the DEA metod," ERSA conference papers ersa11p925, European Regional Science Association.
    4. Chao Gary H. & Hsu Maxwell K. & Haas David A., 2014. "Global Market Evaluation: A Longitudinal Efficiency Assessment Approach," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 1-27, October.
    5. Wiek, Arnim & Walter, Alexander I., 2009. "A transdisciplinary approach for formalized integrated planning and decision-making in complex systems," European Journal of Operational Research, Elsevier, vol. 197(1), pages 360-370, August.

    More about this item

    Keywords

    JEL classification: C6; R11; R58; O47;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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