IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v103y2010i8p585-597.html
   My bibliography  Save this article

FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies

Author

Listed:
  • Louhichi, Kamel
  • Kanellopoulos, Argyris
  • Janssen, Sander
  • Flichman, Guillermo
  • Blanco, Maria
  • Hengsdijk, Huib
  • Heckelei, Thomas
  • Berentsen, Paul
  • Lansink, Alfons Oude
  • Ittersum, Martin Van

Abstract

The disciplinary nature of most existing farm models as well as the issue specific orientation of most of the studies in agricultural systems research are main reasons for the limited use and re-use of bio-economic modelling for the ex-ante integrated assessment of policy decisions. The objective of this article is to present a bio-economic farm model that is generic and re-usable for different bio-physical and socio-economic contexts, facilitating the linking of micro and macro analysis or to provide detailed analysis of farming systems in a specific region. Model use is illustrated in this paper with an analysis of the impacts of the CAP reform of 2003 for arable and livestock farms in a context of market liberalization. Results from the application of the model to representative farms in Flevoland (the Netherlands) and Midi-Pyrenees (France) shows that CAP reform 2003 under market liberalization will cause substantial substitution of root crops and durum wheat by vegetables and oilseed crops. Much of the set-aside area will be put into production intensifying the existing farming systems. Abolishment of the milk quota system will cause an increase of the average herd size. The average total gross margin of farm types in Flevoland decreases while the average total gross margin of farms in Midi-Pyrenees increases. The results show that the model can simulate arable and livestock farm types of two regions different from a bio-physical and socio-economic point of view and it can deal with a variety of policy instruments. The examples show that the model can be (re-)used as a basis for future research and as a comprehensive tool for future policy analysis.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agisys:v:103:y:2010:i:8:p:585-597
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(10)00082-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Britz, Wolfgang & Perez Dominguez, Ignacio & Zimmermann, Andrea & Heckelei, Thomas, 2007. "Definition of the CAPRI Core Modelling System and Interfaces with other Components of SEAMLESS-IF," Reports 9284, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    2. 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.
    3. 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.
    4. Semaan, Josephine & Flichman, Guillermo & Scardigno, Alessandra & Steduto, Pasquale, 2007. "Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 94(2), pages 357-367, May.
    5. Veysset, P. & Bebin, D. & Lherm, M., 2005. "Adaptation to Agenda 2000 (CAP reform) and optimisation of the farming system of French suckler cattle farms in the Charolais area: a model-based study," Agricultural Systems, Elsevier, vol. 83(2), pages 179-202, February.
    6. Thorne, Peter J. & Hengsdijk, Huib & Janssen, Sander J.C. & Louhichi, Kamel & van Keulen, Herman & Thornton, Philip K., 2009. "Modelling Livestock Component in FSSIM," Reports 57788, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    7. Janssen, Sander J.C. & van Ittersum, Martin K. & Louhichi, Kamel & Kanellopoulos, Argyris & Meuter, Eelco & Hengsdijk, Huib & Zander, Peter & Thorne, Peter J. & Flichman, Guillermo & Blanco Fonseca, M, 2009. "Integration of all FSSIM components within SEAMLESS-IF and a stand alone Graphical User Interface for FSSIM," Reports 57790, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    8. 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.
    9. Zander, Peter & Borkowski, Nina & Hecker, Martin & Uthes, Sandra & Stokstad, Grete & Rorstad, Per Kr. & Bellocchi, Gianni, 2010. "Procedure to Identify and Assess Current Activities," Reports 57938, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    10. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    11. Judez, L. & Chaya, C. & Martinez, S. & Gonzalez, A. A., 2001. "Effects of the measures envisaged in "Agenda 2000" on arable crop producers and beef and veal producers: an application of Positive Mathematical Programming to representative farms of a Span," Agricultural Systems, Elsevier, vol. 67(2), pages 121-138, February.
    12. 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.
    13. Topp, C. F. E. & Mitchell, M., 2003. "Forecasting the environmental and socio-economic consequences of changes in the Common Agricultural Policy," Agricultural Systems, Elsevier, vol. 76(1), pages 227-252, April.
    14. Donaldson, A. B. & Flichman, G. & Webster, J. P. G., 1995. "Integrating agronomic and economic models for policy analysis at the farm level: The impact of CAP reform in two European regions," Agricultural Systems, Elsevier, vol. 48(2), pages 163-178.
    15. Louhichi, Kamel & Belhouchette, Hatem & Wery, Jacques & Therond, Olivier & Flichman, Guillermo, 2008. "Impact Assessment Of The 2003 Cap Reform And The Nitrate Directive On The Arable Farming System In The Midi-Pyrénées Region: Bio-Economic Modeling At Field, Farm And Regional Levels," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44826, European Association of Agricultural Economists.
    16. Elbersen, Berien S. & Kempen, Markus & van Diepen, C.A. & Andersen, Erling & Hazeu, Gerard W. & Verhoog, A. David, 2006. "Protocols for spatial allocation of farm types," Reports 9285, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    17. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    18. Riesgo, Laura & Gomez-Limon, Jose A., 2006. "Multi-criteria policy scenario analysis for public regulation of irrigated agriculture," Agricultural Systems, Elsevier, vol. 91(1-2), pages 1-28, November.
    Full references (including those not matched with items on IDEAS)

    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 & Flichman, Guillermo & Blanco Fonseca, Maria, 2009. "A generic template for FSSIM," Reports 57463, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    2. 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.
    3. Jeder, Houcine & Sghaier, Mongi & Louhichi, Kamel & Reidsma, Pytrik, 2014. "Bio-economic modelling to assess the impact of water pricing policies at the farm level in the Oum Zessar watershed, southern Tunisia," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(2), pages 1-19.
    4. Britz, Wolfgang & Heckelei, Thomas, 2008. "Recent Developments In Eu Policies – Challenges For Partial Equilibrium Models," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6315, European Association of Agricultural Economists.
    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. Chopin, Pierre & Blazy, Jean-Marc & Guindé, Loïc & Wery, Jacques & Doré, Thierry, 2017. "A framework for designing multi-functional agricultural landscapes: Application to Guadeloupe Island," Agricultural Systems, Elsevier, vol. 157(C), pages 316-329.
    7. Britz, Wolfgang & van Ittersum, Martin K. & Oude Lansink, Alfons G.J.M. & Heckelei, Thomas, 2012. "Tools for Integrated Assessment in Agriculture. State of the Art and Challenges," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(2), pages 1-26, August.
    8. Dupré, Marie & Blazy, Jean-Marc & Michels, Thierry & Le Gal, Pierre-Yves, 2021. "Supporting policymakers in designing agricultural policy instruments: A participatory approach with a regional bioeconomic model in La Réunion (France)," Land Use Policy, Elsevier, vol. 100(C).
    9. 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 Research Reports JRC108693, Joint Research Centre (Seville site).
    10. Mugurel Ionel JITEA & Diana Elena DUMITRAȘ & Vasile Alexandru SIMU, 2015. "An ex-ante impact assessment of the Common Agricultural Policy reform in the North-Western Romania," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(2), pages 88-103.
    11. 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.
    12. Christian Schader & Jürn Sanders & Thomas Nemecek & Nic Lampkin & Matthias Stolze, 2008. "A Modelling Approach for Evaluating Agri-Environmental Policies at Sector Level," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 1(1), pages 93-132.
    13. 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.
    14. He, Lixia & Horbulyk, Theodore M. & Ali, Md. Kamar & Le Roy, Danny G. & Klein, K.K., 2012. "Proportional water sharing vs. seniority-based allocation in the Bow River basin of Southern Alberta," Agricultural Water Management, Elsevier, vol. 104(C), pages 21-31.
    15. 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.
    16. Britz, Wolfgang & Ciaian, Pavel & Gocht, Alexander & Kanellopoulos, Argyris & Kremmydas, Dimitrios & Müller, Marc & Petsakos, Athanasios & Reidsma, Pytrik, 2021. "A design for a generic and modular bio-economic farm model," Agricultural Systems, Elsevier, vol. 191(C).
    17. 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.
    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. Humblot, Pierre & Jayet, Pierre-Alain & Petsakos, Athanasios, 2017. "Farm-level bio-economic modeling of water and nitrogen use: Calibrating yield response functions with limited data," Agricultural Systems, Elsevier, vol. 151(C), pages 47-60.
    20. Wang, Shuping & Tan, Qian & Zhang, Tianyuan & Zhang, Tong, 2022. "Water management policy analysis: Insight from a calibration-based inexact programming method," Agricultural Water Management, Elsevier, vol. 269(C).

    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:eee:agisys:v:103:y:2010:i:8:p:585-597. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.