IDEAS home Printed from https://ideas.repec.org/a/ags/ersfer/352009.html
   My bibliography  Save this article

Les modèles de simulation technico-economiques comme méthode d'analyse des différentes politiques agricoles

Author

Listed:
  • Lefer, Henri-Bertrand
  • Blaskovic, Hana

Abstract

Facing new policy resulting from CAP reform, common management analysises, based on a complete entreprise development pattern rigidity, are mainly useless. Traditional economical tools are exposed to some limits. So, we purpose here, a methodology focusing onto linear programming associated to the plant growth simulation program Epic (Erosion Productivity Impact Calculator). Aim is to simulate productor behaviour : technical and economical adaptability facing various agricultural policy orientations. A first simulation has been drawn in cereal production farm in Beauce. Our concerns are to compare Mac Sharry reform effects with latest CAP system.

Suggested Citation

  • Lefer, Henri-Bertrand & Blaskovic, Hana, 1994. "Les modèles de simulation technico-economiques comme méthode d'analyse des différentes politiques agricoles," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 224.
    • Handle: RePEc:ags:ersfer:352009
    DOI: 10.22004/ag.econ.352009
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/352009/files/ecoru_0013-0559_1994_num_224_1_4692.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.352009?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. Cabelguenne, M. & Jones, C. A. & Marty, J. R. & Dyke, P. T. & Williams, J. R., 1990. "Calibration and validation of EPIC for crop rotations in southern France," Agricultural Systems, Elsevier, vol. 33(2), pages 153-171.
    2. Carmen Vicien, 1991. "Les modèles de simulation comme fonctions de production," Économie rurale, Programme National Persée, vol. 204(1), pages 46-50.
    3. Yair Mundlak & René Hellinghausen, 1982. "The Intercountry Agricultural Production Function: Another View," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 664-672.
    4. Levhari, David & Sheshinski, Eytan, 1970. "A Microeconomic Production Function," Econometrica, Econometric Society, vol. 38(3), pages 559-573, May.
    5. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    6. Putman, John W. & Dyke, Paul T., 1987. "The Erosion-Productivity Impact Calculator as Formulated for the Resource Conservation Act Appraisal," Staff Reports 277924, United States Department of Agriculture, Economic Research Service.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Gordon A. King, 1984. "Estimating Functional Forms with Special Reference to Agriculture: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(2), pages 221-222.
    9. Rulon D. Pope, 1984. "Estimating Functional Forms with Special Reference to Agriculture: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(2), pages 223-224.
    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. Henri-Bertrand Lefer & Hana Blaskovic, 1994. "Les modèles de simulation technico-economiques comme méthode d'analyse des différentes politiques agricoles," Économie rurale, Programme National Persée, vol. 224(1), pages 45-51.
    2. Carmen Vicien, 1991. "Les modèles de simulation comme fonctions de production," Économie rurale, Programme National Persée, vol. 204(1), pages 46-50.
    3. Vicien, Carmen, 1991. "Les modèles de simulation comme fonctions de production," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 204.
    4. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    5. Trueblood, Michael A., 1994. "An Annotated Bibliography Of Selected Productivity Literature," Staff Papers 13580, University of Minnesota, Department of Applied Economics.
    6. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    7. Christian Growitsch & Tooraj Jamasb & Christine Müller & Matthias Wissner, 2016. "Social Cost Efficient Service Quality: Integrating Customer Valuation in Incentive Regulation—Evidence from the Case of Norway," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 71-91, Springer.
    8. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    9. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    10. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    11. repec:lan:wpaper:1115 is not listed on IDEAS
    12. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    13. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    14. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    15. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    16. Bo Li & Muhammad Mohiuddin & Qian Liu, 2019. "Determinants and Differences of Township Hospital Efficiency among Chinese Provinces," IJERPH, MDPI, vol. 16(9), pages 1-16, May.
    17. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    18. Nijkamp, P. & Stough, R. & Sahin, M., 2009. "Impact of social and human capital on business performance of migrant entrepreneurs - a comparative dutch-us study," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    19. Bowlin, W. F., 1995. "A characterization of the financial condition of the United States' aerospace-defense industrial base," Omega, Elsevier, vol. 23(5), pages 539-555, October.
    20. Zhang, Chonghui & Bai, Chen & Su, Weihua & Balezentis, Tomas, 2024. "The centralised data envelopment analysis model integrated with cost information and utility theory for power price setting under carbon peak strategy at the firm-level," Energy, Elsevier, vol. 292(C).
    21. Mika Kortelainen & Timo Kuosmanen, 2007. "Eco-efficiency analysis of consumer durables using absolute shadow prices," Journal of Productivity Analysis, Springer, vol. 28(1), pages 57-69, October.

    More about this item

    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:ersfer:352009. 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/sferrea.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.