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Comparison of Selected Mathematical Programming Models Used for Sustainable Land and Farm Management

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  • Christina Moulogianni

    (Department of Agricultural Economics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

The aim of this study is to compare three mathematical programing models used for sustainable land and farm management. The sample for the comparison was 219 agricultural holdings participating as beneficiaries of the measure ‘Modernization of agricultural holdings’ in the Rural Development Plan at the Region of Central Macedonia in Greece. Using the crop plan of the agricultural land of these farms the mathematical programming models calculate the optimum solution under different and conflicting goals. The results of the methodologies of Linear Programming (LP), of Positive Mathematical Programming (PMP) and Weighted Goal Programming (WGP), are compared in terms of the proposed agricultural land changes. The sustainability of farms is measured with the use of eleven economic, social, and environmental indicators. Each model has some unique advantages and disadvantages that can enable it to be implemented in particular situations. In the conclusions to this research the characteristics of each model are highlighted.

Suggested Citation

  • Christina Moulogianni, 2022. "Comparison of Selected Mathematical Programming Models Used for Sustainable Land and Farm Management," Land, MDPI, vol. 11(8), pages 1-18, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1293-:d:885668
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    1. Asimina Kouriati & Anna Tafidou & Evgenia Lialia & Angelos Prentzas & Christina Moulogianni & Eleni Dimitriadou & Thomas Bournaris, 2024. "A Multicriteria Decision Analysis Model for Optimal Land Uses: Guiding Farmers under the New European Union’s Common Agricultural Policy (2023–2027)," Land, MDPI, vol. 13(6), pages 1-22, June.

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