IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/211542.html
   My bibliography  Save this paper

The Impact of Crop Diversification Measure: EU-wide Evidence Based on IFM-CAP Model

Author

Listed:
  • Louhichi, Kamel
  • Ciaian, Pavel
  • Espinosa, Maria
  • Colen, Liesbeth
  • Perni, Angel
  • Paloma, Sergio

Abstract

This paper presents simulation results of crop diversification measure adopted as part of the CAP greening within the 2013 CAP reform. The simulations are performed using the EU-wide individual farm-based model for CAP analysis (IFM-CAP). The IFM-CAP model is a static positive mathematical programming model builds on the EU-FADN (Farm Accountancy Data Network) data. The model is calibrated to the FADN farm constant sample for 2007- 2009 representing around 60,500 individual farms. The advantage of this model relative to existing models is that it captures the full heterogeneity of the EU farm population and covering all Member States. Results show that most farms choose to increase their compliance with the diversification measure owing to the sizable subsidy reduction imposed in case of non-compliance. However, the overall impact on farm income is rather limited: farm income decreases by less than 1% at EU level, and only 5% of the farm population will be negatively affected. Nevertheless, for a small number of farms the income effect could be more substantial (more than -10%).

Suggested Citation

  • Louhichi, Kamel & Ciaian, Pavel & Espinosa, Maria & Colen, Liesbeth & Perni, Angel & Paloma, Sergio, 2015. "The Impact of Crop Diversification Measure: EU-wide Evidence Based on IFM-CAP Model," 2015 Conference, August 9-14, 2015, Milan, Italy 211542, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:211542
    DOI: 10.22004/ag.econ.211542
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/211542/files/Louhichi_et_al_1_.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Heinrich, Barbara, 2012. "Calculating the 'greening' effect: A case study approach to predict the gross margin losses in different farm types in Germany due to the reform of the CAP," DARE Discussion Papers 1205, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    2. Heinrich, Barbara, 2012. "Calculating The ‘Greening’ Effect: A Case Study Approach To Predict The Gross Margin Losses In Different Farm Types In Germany Due To The Reform Of The Cap," Department of Agricultural and Rural Development (DARE) Discussion Papers 187445, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    3. Louhichi, Kamel & Kanellopoulos, Argyris & Janssen, Sander & Flichman, Guillermo & Blanco, Maria & Hengsdijk, Huib & Heckelei, Thomas & Berentsen, Paul & Lansink, Alfons Oude & Ittersum, Martin Van, 2010. "FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies," Agricultural Systems, Elsevier, vol. 103(8), pages 585-597, October.
    4. Gibbons, James M. & Sparkes, Debbie L. & Wilson, Paul & Ramsden, Stephen J., 2005. "Modelling optimal strategies for decreasing nitrate loss with variation in weather - a farm-level approach," Agricultural Systems, Elsevier, vol. 83(2), pages 113-134, February.
    5. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
    6. Heckelei, Thomas & Britz, Wolfgang, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 57.
    7. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    8. Mahy, Louis & Dupeux, Bérénice & Van Huylenbroeck, Guido & Buysse, Jeroen, 2014. "Simulating Farm Level Response To Crop Diversification Policy," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182797, European Association of Agricultural Economists.
    9. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    10. Kamel Louhichi & Pavel Ciaian & Maria Espinosa & Liesbeth Colen & Angel Perni & Sergio Gomez y Paloma, 2015. "Individual Farm Model for Common Agricultural Policy Analysis (IFM-CAP)," JRC Working Papers JRC92574, Joint Research Centre (Seville site).
    11. Fragoso, R. & Marques, C. & Lucas, M.R. & Martins, M.B. & Jorge, R., 2011. "The economic effects of common agricultural policy on Mediterranean montado/dehesa ecosystem," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 311-327, March.
    12. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.
    13. Heinrich, Barbara, 2012. "Calculating The ‘Greening’ Effect: A Case Study Approach To Predict The Gross Margin Losses In Different Farm Types In Germany Due To The Reform Of The Cap," 54th Annual Conference, Goettingen, Germany, September 17-19, 2014 187445, German Association of Agricultural Economists (GEWISOLA).
    14. Pierre Mérel & Santiago Bucaram, 2010. "Exact calibration of programming models of agricultural supply against exogenous supply elasticities," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 37(3), pages 395-418, September.
    15. 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.
    16. Gocht, Alexander & Britz, Wolfgang, 2011. "EU-wide farm type supply models in CAPRI--How to consistently disaggregate sector models into farm type models," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 146-167, January.
    17. Mouysset, L., 2014. "Agricultural public policy: Green or sustainable?," Ecological Economics, Elsevier, vol. 102(C), pages 15-23.
    18. Paris,Quirino, 2011. "Economic Foundations of Symmetric Programming," Cambridge Books, Cambridge University Press, number 9780521123020, August.
    19. Heinrich, Barbara, 2012. "Calculating The ‘Greening’ Effect – A Case Study Approach To Estimate The Gross Margin Losses In Different Farm Types In Germany Due To The Reform Of The Cap," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 137155, German Association of Agricultural Economists (GEWISOLA).
    20. Lansink, Alfons Oude & Peerlings, Jack, 1996. "Modelling the New EU Cereals and Oilseeds Regime in the Netherlands," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 23(2), pages 161-178.
    21. Pierre Mérel & Leo K. Simon & Fujin Yi, 2011. "A Fully Calibrated Generalized Constant-Elasticity-of-Substitution Programming Model of Agricultural Supply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 936-948.
    22. Cortignani, Raffaele & Severini, Simone, 2009. "Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming," Agricultural Water Management, Elsevier, vol. 96(12), pages 1785-1791, December.
    23. Paris,Quirino, 2011. "Economic Foundations of Symmetric Programming," Cambridge Books, Cambridge University Press, number 9780521194723, June.
    24. Paolo Sckokai & Daniele Moro, 2006. "Modeling the Reforms of the Common Agricultural Policy for Arable Crops under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 43-56.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander Gocht & Pavel Ciaian & Maria Bielza & Jean-Michel Terres & Norbert Röder & Mihaly Himics & Guna Salputra, 2017. "EU-wide Economic and Environmental Impacts of CAP Greening with High Spatial and Farm-type Detail," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 651-681, September.
    2. Alexander Gocht & Pavel Ciaian & Maria Bielza & Jean-Michel Terres & Norbert Röder & Mihaly Himics & Guna Salputra, 2016. "Economic and environmental impacts of CAP greening: CAPRI simulation results," JRC Working Papers JRC102519, Joint Research Centre (Seville site).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Louhichi, Kamel & Ciaian, Pavel & Espinosa, Maria & Colen, Liesbeth & Perni, Angel & Gomez y Paloma, Sergio, 2015. "EU-wide individual Farm Model for CAP Analysis (IFM-CAP): Application to Crop Diversification Policy," 2015 Conference, August 9-14, 2015, Milan, Italy 212155, International Association of Agricultural Economists.
    2. Louhichi, Kamel & Ciaian, Pavel & Espinosa, Maria & Colen, Liesbeth & Perni, Angel & Gomez y Paloma, Sergio, 2015. "Farm-level economic impacts of EU-CAP greening measures," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205309, Agricultural and Applied Economics Association.
    3. Kamel Louhichi & Pavel Ciaian & Maria Espinosa & Angel Perni & Sergio Gomez y Paloma, 2018. "Economic impacts of CAP greening: application of an EU-wide individual farm model for CAP analysis (IFM-CAP)," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 45(2), pages 205-238.
    4. Kamel Elouhichi & Maria Espinosa Goded & Pavel Ciaian & Angel Perni Llorente & Bouda Vosough Ahmadi & Liesbeth Colen & Sergio Gomez Y Paloma, 2018. "The EU-Wide Individual Farm Model for Common Agricultural Policy Analysis (IFM-CAP v.1): Economic Impacts of CAP Greening," JRC Working Papers JRC108693, Joint Research Centre (Seville site).
    5. Solazzo, Roberto & Pierangeli, Fabio, 2016. "How does greening affect farm behaviour? Trade-off between commitments and sanctions in the Northern Italy," Agricultural Systems, Elsevier, vol. 149(C), pages 88-98.
    6. Xuan Liu & Gerrit Cornelis van Kooten & Jun Duan, 2020. "Calibration of agricultural risk programming models using positive mathematical programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 795-817, July.
    7. Pascal Tillie & Kamel Louhichi & Sergio Gomez-Y-Paloma, 2018. "La culture attelée dans le bassin cotonnier en Côte d'Ivoire. Analyse et modélisation des impacts d'un programme de relance de la culture attelée," JRC Working Papers JRC111027, Joint Research Centre (Seville site).
    8. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    9. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    10. Siwa Msangi & Sarah Ann Cline, 2016. "Improving Groundwater Management for Indian Agriculture: Assessing Tradeoffs Across Policy Instruments," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-33, September.
    11. Umed Temurshoev & Marian Mraz & Luis Delgado Sancho & Peter Eder, 2015. "EU Petroleum Refining Fitness Check: OURSE Modelling and Results," JRC Working Papers JRC96207, Joint Research Centre (Seville site).
    12. Britz, Wolfgang & Linda, Arata, "undated". "How Important Are Crop Shares In Managing Risk For Specialized Arable Farms? A Panel Estimation Of A Programming Model For Three European Regions," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244801, German Association of Agricultural Economists (GEWISOLA).
    13. Alain CARPENTIER & Alexandre GOHIN & Paolo SCKOKAI & Alban THOMAS, 2015. "Economic modelling of agricultural production:past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 96(1), pages 131-166.
    14. Kamel Louhichi & Pascal Tillie & Aymeric Ricome & Sergio Gomez y Paloma, 2020. "Modelling Farm-household Livelihoods in Developing Economies Insights from three country case studies using LSMS-ISA data [Modélisation des moyens de subsistance des ménages agricoles dans les écon," Post-Print hal-02544905, HAL.
    15. Umed Temurshoev & Fréderic Lantz, 2016. "Long-term petroleum product supply analysis through a robust modelling approach," Working Papers 2016-003, Universidad Loyola Andalucía, Department of Economics.
    16. Gava, Oriana & Andreoli, Maria & Bartolini, Fabio & Brunori, Gianluca, 2015. "CAP post-2013: alternative greening designs in Tuscany (Italy)," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207359, Italian Association of Agricultural and Applied Economics (AIEAA).
    17. Jonathan R. Sweeney & Richard E. Howitt & Hing Ling Chan & Minling Pan & PingSun Leung, 2017. "How do fishery policies affect Hawaii's longline fishing industry? Calibrating a positive mathematical programming model," Papers 1707.03960, arXiv.org.
    18. Petsakos, Athanasios & Rozakis, Stelios, 2015. "Calibration of agricultural risk programming models," European Journal of Operational Research, Elsevier, vol. 242(2), pages 536-545.
    19. Louhichi, Kamel & Gomez y Paloma, Sergio, 2014. "A farm household model for agri-food policy analysis in developing countries: Application to smallholder farmers in Sierra Leone," Food Policy, Elsevier, vol. 45(C), pages 1-13.
    20. Francesco Diotallevi & Emanuele Blasi & Silvio Franco, 2015. "Greening as compensation to production of environmental public goods: how do common rules have an influence at local level? The case of durum wheat in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-14, December.

    More about this item

    Keywords

    Crop Production/Industries; Environmental Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae15:211542. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/iaaeeea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.