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Assessing impacts of Common Agricultural Policy changes on regional land use patterns with a decision support system: An application in Southern Portugal

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  • Borges, P.J.
  • Fragoso, R.
  • Garcia-Gonzalo, J.
  • Borges, J.G.
  • Marques, S.
  • Lucas, M.R.

Abstract

This paper discusses research aiming at assessing Common Agricultural Policy impacts on agriculture and forestry. For this purpose an approach is developed that includes a linear programming model to estimate the Positive Mathematical Programming production cost function coefficients of current agricultural-forestry activities. It further includes a heuristic -- simulated annealing -- to generate solutions for each policy scenario. This model base approach is integrated within a decision support system (DSS) for testing purposes. The DSS further encompasses a relational database that stores agricultural-forestry technical and economic data and a geographic information system that stores topological data of regional farm-type land units. The DSS Graphical User Interface provides tabular and geographical reporting capabilities. Results are discussed for an application to the Alentejo region in Southern Portugal. Results demonstrate the usefulness and relevance of the proposed approach to assess the impact of changes in prices and in agricultural policy on land use patterns and on forestry.

Suggested Citation

  • Borges, P.J. & Fragoso, R. & Garcia-Gonzalo, J. & Borges, J.G. & Marques, S. & Lucas, M.R., 2010. "Assessing impacts of Common Agricultural Policy changes on regional land use patterns with a decision support system: An application in Southern Portugal," Forest Policy and Economics, Elsevier, vol. 12(2), pages 111-120, February.
    • Handle: RePEc:eee:forpol:v:12:y:2010:i:2:p:111-120
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    References listed on IDEAS

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    Cited by:

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    2. Levin, Gregor & Frederiksen, Pia & Nainggolan, Doan, 2018. "Land-use trends related to Natura2000 sites in Denmark," Land Use Policy, Elsevier, vol. 76(C), pages 432-441.
    3. Liu, Wan-Yu & Lin, Chun-Cheng & Su, Ke-Hong, 2017. "Modelling the spatial forest-thinning planning problem considering carbon sequestration and emissions," Forest Policy and Economics, Elsevier, vol. 78(C), pages 51-66.
    4. Ferreira, Vera & Panagopoulos, Thomas, 2012. "Predicting soil erosion risk at the Alqueva dam watershed," Spatial and Organizational Dynamics Discussion Papers 2012-4, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
    5. Reidsma, Pytrik & Janssen, Sander & Jansen, Jacques & van Ittersum, Martin K., 2018. "On the development and use of farm models for policy impact assessment in the European Union – A review," Agricultural Systems, Elsevier, vol. 159(C), pages 111-125.
    6. Athanasiadis, Antonios & Andreopoulou, Zacharoula, 2019. "E-praxis: A web-based forest law decision support system for land characterization in Greece," Forest Policy and Economics, Elsevier, vol. 103(C), pages 157-166.

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