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Assessing the Impacts of Rural Development Plan Measures on the Sustainability of Agricultural Holdings Using a PMP Model

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  • Christina Moulogianni

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

  • Thomas Bournaris

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

Abstract

Rural Development Plan (RDP) measures support farmers in improving the sustainability of their agricultural holdings. The implementation of these policies has economic, social, and environmental impacts, which are monitored either ex-ante, ongoing, or ex-post, as required from the European Commission impact assessment guidelines. In this frame, this paper aims to assess the impacts of RDP measures on the sustainability of agricultural holdings. For this reason, a positive mathematical programming (PMP) model was developed and implemented in combination with a set of economic, social, and environmental indicators. The model was used to assess the ex-post impacts of the measure titled ‘Modernization of agricultural holdings’ of the Greek RDP 2007–2013. This research was conducted on a sample of 219 agricultural holdings in a region of northern Greece. The impacts were measured through the changes of the crop plan in the agricultural land. The results show that the measure has positive economic impacts, negative social impacts, and negative impacts on most of the environmental indicators. The results also underline the significant role of the impact assessment process in supporting policymakers in understanding the impacts of their policies.

Suggested Citation

  • Christina Moulogianni & Thomas Bournaris, 2021. "Assessing the Impacts of Rural Development Plan Measures on the Sustainability of Agricultural Holdings Using a PMP Model," Land, MDPI, vol. 10(5), pages 1-13, April.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:446-:d:541425
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    Cited by:

    1. 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.
    2. Syed Shurid Khan & Shawn Arita & Richard Howitt & PingSun Leung, 2022. "Evaluating change in property tax regime on noncommercial food production using a modified positive mathematical programming model," SN Business & Economics, Springer, vol. 2(9), pages 1-20, September.

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