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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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    as
    1. Hermann Lotze-Campen, 2008. "The role of modelling tools in Integrated Sustainability Assessment (ISA)," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 3(1/2), pages 70-92.
    2. Nastis, Stefanos A. & Michailidis, Anastasios & Mattas, Konstadinos, 2011. "Crop biodiversity repercussions of subsidized organic farming in Greece," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114628, European Association of Agricultural Economists.
    3. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    4. Basil Manos & Thomas Bournaris & Mohd Kamruzzaman & Moss Begum & Ara Anjuman & Jason Papathanasiou, 2006. "Regional Impact of Irrigation Water Pricing in Greece under Alternative Scenarios of European Policy: A Multicriteria Analysis," Regional Studies, Taylor & Francis Journals, vol. 40(9), pages 1055-1068.
    5. Argyris Kanellopoulos & Paul Berentsen & Thomas Heckelei & Martin Van Ittersum & Alfons Oude Lansink, 2010. "Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 274-294, June.
    6. Ottmar Röhm & Stephan Dabbert, 2003. "Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 254-265.
    7. Joan Pujol & Meri Raggi & Davide Viaggi, 2006. "The potential impact of markets for irrigation water in Italy and Spain: a comparison of two study areas ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(3), pages 361-380, September.
    8. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    9. J. A. Finn & F. Bartolini & D. Bourke & I. Kurz & D. Viaggi, 2009. "Ex post environmental evaluation of agri-environment schemes using experts' judgements and multicriteria analysis," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(5), pages 717-737.
    10. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2010. "An integer programming dynamic farm-household model to evaluate the impact of agricultural policy reforms on farm investment behaviour," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1130-1139, December.
    11. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    12. Iglesias, Eva & Garrido, Alberto & Gomez-Ramos, Almudena, 2003. "Evaluation of drought management in irrigated areas," Agricultural Economics, Blackwell, vol. 29(2), pages 211-229, October.
    13. Basil Manos & Thomas Bournaris & Christina Moulogianni & Fedra Kiomourtzi, 2017. "Assessment of rural development plan measures in Greece," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 28(4), pages 448-471.
    14. Bartolini, F. & Bazzani, G.M. & Gallerani, V. & Raggi, M. & Viaggi, D., 2007. "The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models," Agricultural Systems, Elsevier, vol. 93(1-3), pages 90-114, March.
    15. Christina Moulogianni & Thomas Bournaris, 2017. "Biomass Production from Crops Residues: Ranking of Agro-Energy Regions," Energies, MDPI, vol. 10(7), pages 1-12, July.
    16. Gomez-Limon, J. A. & Berbel, J., 2000. "Multicriteria analysis of derived water demand functions: a Spanish case study," Agricultural Systems, Elsevier, vol. 63(1), pages 49-72, January.
    17. Gómez-Limón, José A. & Sanchez-Fernandez, Gabriela, 2010. "Empirical evaluation of agricultural sustainability using composite indicators," Ecological Economics, Elsevier, vol. 69(5), pages 1062-1075, March.
    18. Brigite Botequim & Miguel N. Bugalho & Ana Raquel Rodrigues & Susete Marques & Marco Marto & José G. Borges, 2021. "Combining Tree Species Composition and Understory Coverage Indicators with Optimization Techniques to Address Concerns with Landscape-Level Biodiversity," Land, MDPI, vol. 10(2), pages 1-26, January.
    19. Ness, Barry & Urbel-Piirsalu, Evelin & Anderberg, Stefan & Olsson, Lennart, 2007. "Categorising tools for sustainability assessment," Ecological Economics, Elsevier, vol. 60(3), pages 498-508, January.
    20. Richard E. Howitt, 1995. "A Calibration Method For Agricultural Economic Production Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 147-159, May.
    21. Måns Nilsson & Andrew Jordan & John Turnpenny & Julia Hertin & Björn Nykvist & Duncan Russel, 2008. "The use and non-use of policy appraisal tools in public policy making: an analysis of three European countries and the European Union," Policy Sciences, Springer;Society of Policy Sciences, vol. 41(4), pages 335-355, December.
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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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