IDEAS home Printed from https://ideas.repec.org/p/ags/eaae05/24519.html
   My bibliography  Save this paper

Modelling the Impact of Compulsory FMD Insurance

Author

Listed:
  • Jansson, Torbjorn
  • Norell, Bo
  • Rabinowicz, Ewa

Abstract

This paper compares two ways of financing the combating of Foot and Mouth Disease (FMD) in the EU and uses a simulation model to determine the welfare and production implications of the two systems. The two systems analysed are (i) financing by the tax payers, resembling the system currently in place, and (ii) a compulsory insurance scheme where all costs are converted into regionally differentiated insurance premiums that are paid by the producers. The analysis indicates that welfare gains may be realised by shifting from the former to the latter financing system.

Suggested Citation

  • Jansson, Torbjorn & Norell, Bo & Rabinowicz, Ewa, 2005. "Modelling the Impact of Compulsory FMD Insurance," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24519, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae05:24519
    DOI: 10.22004/ag.econ.24519
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/24519/files/pp05ja01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.24519?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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 & 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.
    2. 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).
    3. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    4. Parisa Aghajanzadeh-Darzi & Pierre-Alain Jayet & Athanasios Petsakos, 2017. "Improvement of a Bio-Economic Mathematical Programming Model in the Case of On-Farm Source Inputs and Outputs," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 489-508, September.
    5. Carpentier, Alain & Letort, Elodie, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers 211011, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    6. Pérez Domínguez, Ignacio & Britz, Wolfgang & Holm-Müller, Karin, 2009. "Trading schemes for greenhouse gas emissions from European agriculture: A comparative analysis based on different implementation options," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(3).
    7. 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.
    8. Msangi, Siwa & Howitt, Richard E., 2006. "Estimating Disaggregate Production Functions: An Application to Northern Mexico," 2006 Annual meeting, July 23-26, Long Beach, CA 21080, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Jansson, Torbjörn & Heckelei, Thomas, 2009. "A new estimator for trade costs and its small sample properties," Economic Modelling, Elsevier, vol. 26(2), pages 489-498, March.
    10. Liu, Xuan & van Kooten, Gerrit Cornelis & Duan, Jun, 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), July.
    11. Jansson, Torbjörn & Heckelei, Thomas & Gocht, Alexander & Basnet, Shyam Kumar & Zhang, Yinan & Neuenfeldt, Sebastian, 2014. "Analysing impacts of changing price variability with estimated farm risk-programming models," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182665, European Association of Agricultural Economists.
    12. 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.
    13. 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.
    14. Frahan, Bruno Henry de, 2005. "PMP, Extensions and Alternative Methods: Introductory Review of the State of the Art," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24537, European Association of Agricultural Economists.
    15. Weizhe Weng & Kelly M. Cobourn & Armen R. Kemanian & Kevin J. Boyle & Yuning Shi & Jemma Stachelek & Charles White, 2024. "Quantifying co‐benefits of water quality policies: An integrated assessment model of land and nitrogen management," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 547-572, March.
    16. Claudia Heidecke & Thomas Heckelei, 2010. "Impacts of changing water inflow distributions on irrigation and farm income along the Drâa River in Morocco," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 135-149, March.
    17. Carpentier, Alain & Gohin, Alexandre & Letort, Elodie, 2011. "Accounting for agronomic rotations in crop production: A theoretical investigation and an empirical modeling framework," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103431, Agricultural and Applied Economics Association.
    18. Koutchade, Philippe & Carpentier, Alain & Féménia, Fabienne, 2015. "Empirical modeling of production decisions of heterogeneous farmers with random parameter models," Working Papers 210097, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    19. 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.
    20. Blanco, Maria & Cortignani, Raffaele & Severini, Simone, 2008. "Evaluating Changes in Cropping Patterns due to the 2003 CAP Reform. An Ex-post Analysis of Different PMP Approaches Considering New Activities," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6674, European Association of Agricultural Economists.

    More about this item

    Keywords

    Risk and Uncertainty;

    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:eaae05:24519. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    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.