IDEAS home Printed from https://ideas.repec.org/p/ags/eaae05/24567.html

Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments

Author

Listed:
  • Wiborg, Torben
  • McCarl, Bruce A.
  • Rasmussen, Svend
  • Schneider, Uwe A.

Abstract

All agricultural sector models must deal with aggregation and calibration somehow. The aggregation problem involves treating a group of producers as if they all responded in the same way as a single representative unit. The calibration problem concerns making a model reproduce as closely as possible an empirically observed set of decision maker actions. This paper shows how both calibration and aggregation are addressed through crop mix restrictions combined with marginal profit adjust-ments.

Suggested Citation

  • Wiborg, Torben & McCarl, Bruce A. & Rasmussen, Svend & Schneider, Uwe A., 2005. "Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24567, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae05:24567
    DOI: 10.22004/ag.econ.24567
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/24567/files/os05wi01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.24567?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. Scott A. Hamilton & Bruce A. McCarl & Richard M. Adams, 1985. "The Effect of Aggregate Response Assumptions on Environmental Impact Analyses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(2), pages 407-413.
    2. Bruce A. McCarl & Wilfred V. Candler & D. Howard Doster & Paul R. Robbins, 1977. "Experiences With Farmer Oriented Linear Programming For Crop Planning," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 25(1), pages 17-30, February.
    3. Thomas A. Miller, 1972. "Evaluation of Alternative Flexibility Restraint Procedures for Recursive Programming Models Used for Prediction," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(1), pages 68-76.
    4. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    5. Daniel Fajardo & Bruce A. McCarl & Robert L. Thompson, 1981. "A Multicommodity Analysis of Trade Policy Effects: The Case of Nicaraguan Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 23-31.
    6. Bruce A. McCarl, 1982. "Cropping Activities in Agricultural Sector Models: A Methodological Proposal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 768-772.
    7. Richard H. Day, 1963. "On Aggregating Linear Programming Models of Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(4), pages 797-813.
    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. Zech, Konstantin M. & Schneider, Uwe A., 2019. "Technical biofuel production and GHG mitigation potentials through healthy diets in the EU," Agricultural Systems, Elsevier, vol. 168(C), pages 27-35.
    2. Maxwell Mkondiwa & Jeffrey Apland, 2022. "Inter-district food flows in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1553-1568, December.
    3. Schneider, Uwe A. & Havlík, Petr & Schmid, Erwin & Valin, Hugo & Mosnier, Aline & Obersteiner, Michael & Böttcher, Hannes & Skalský, Rastislav & Balkovic, Juraj & Sauer, Timm & Fritz, Steffen, 2011. "Impacts of population growth, economic development, and technical change on global food production and consumption," Agricultural Systems, Elsevier, vol. 104(2), pages 204-215, February.
    4. Mack, Gabriele & Ferjani, Ali & Mohring, Anke & Zimmerman, Albert & Mann, Stefan, 2015. "How did farmers act? An ex-post validation of normative and positive mathematical programming for an agent-based sector model," 2015 Conference, August 9-14, 2015, Milan, Italy 212201, International Association of Agricultural Economists.

    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. Schmid, Erwin & Sinabell, Franz, 2005. "Using the Positive Mathematical Programming Method to Calibrate Linear Programming Models," Discussion Papers DP-10-2005, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    2. McCarl, Bruce A., 1992. "Mathematical Programming For Resource Policy Appraisal Under Multiple Objectives," Working Papers 11888, Environmental and Natural Resources Policy Training Project.
    3. Kooten, G. Cornelis van, 2013. "Modeling Forest Trade in Logs and Lumber: Qualitative and Quantitative Analysis," Working Papers 149182, University of Victoria, Resource Economics and Policy.
    4. Franz Sinabell & Martin Schönhart & Erwin Schmid, 2015. "Austrian Agriculture 2010-2050. Quantitative Effects of Climate Change Mitigation Measures – An Analysis of the Scenarios WEM, WAM and a Sensitivity Analysis of the Scenario WEM," WIFO Studies, WIFO, number 58400, June.
    5. Zaatra, Abderraouf & Kleftodimos, Georgios & Requier-Desjardins, Mélanie & Belhouchette, Hatem, 2025. "Economic valuation of groundwater over-exploitation in the Maghreb," Ecological Economics, Elsevier, vol. 230(C).
    6. Das, Prantika & Gundimeda, Haripriya, 2021. "Economic Evaluation of Achieving Biofuel Mandate through Advanced Biofuels in Developing Country: Case of India," 2021 Conference, August 17-31, 2021, Virtual 315355, International Association of Agricultural Economists.
    7. Fernandez, Mario Andres, 2013. "Decadal Climate Variability: Economic Implications In Agriculture And Water In The Missouri River Basin," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 160199, New Zealand Agricultural and Resource Economics Society.
    8. 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.
    9. Aillery, Marcel P. & et al. [+7], 1996. "Salmon Recovery in the Pacific Northwest: Agricultural and other Economic Effects," Agricultural Economic Reports 308431, United States Department of Agriculture, Economic Research Service.
    10. Johnston, Craig M.T. & van Kooten, G. Cornelis, 2014. "Modelling Bi-lateral Forest Product Trade Flows: Experiencing Vertical and Horizontal Chain Optimization," Working Papers 197898, University of Victoria, Resource Economics and Policy.
    11. Schönhart, Martin & Mitter, Hermine & Schmid, Erwin & Heinrich, Georg & Gobiet, Andreas, 2014. "Integrated Analysis of Climate Change Impacts and Adaptation Measures in Austrian Agriculture," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(03), pages 1-21, September.
    12. Schönhart, Martin & Mitter, Hermine & Schmid, Erwin & Heinrich, Georg & Gobiet, Andreas, 2014. "Integrated Analysis of Climate Change Impacts and Adaptation Measures in Austrian Agriculture," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63(3).
    13. Louhichi, Kamel & Flichman, Guillermo & Blanco Fonseca, Maria, "undated". "A generic template for FSSIM," Reports 57463, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    14. Mitter, Hermine & Schmid, Erwin, 2021. "Informing groundwater policies in semi-arid agricultural production regions under stochastic climate scenario impacts," Ecological Economics, Elsevier, vol. 180(C).
    15. Howitt, Richard E. & Mean, Phillippe, 1983. "A Positive Approach to Microeconomic Programming Models," Working Papers 225710, University of California, Davis, Department of Agricultural and Resource Economics.
    16. McCarl, Bruce A., "undated". "Aggregation Of Heterogeneous Firms," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 269919, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Connor, Jeffery D. & Schwabe, Kurt & King, Darran & Knapp, Keith, 2012. "Irrigated agriculture and climate change: The influence of water supply variability and salinity on adaptation," Ecological Economics, Elsevier, vol. 77(C), pages 149-157.
    18. Schmid, Erwin & Sinabell, Franz, 2005. "Evaluation Of Decoupling Scenarios in a Rural Development Context: Results for Austria," 89th Seminar, February 2-5, 2005, Parma, Italy 239278, European Association of Agricultural Economists.
    19. Franz Sinabell & Katharina Falkner & Gerhard Streicher & Martin Schönhart & Erwin Schmid & Christian Fritz, 2023. "Austrian Agriculture 2030 – 2040 – 2050. Scenarios and Sensitivity Analyses on Land Use, Crop and Livestock Production," WIFO Studies, WIFO, number 38096327, June.
    20. Pierre-Alain Jayet & Athanasios Petsakos & Raja Chakir & Anna Lungarska & Stéphane De Cara & Elvire Petel & Pierre Humblot & Caroline Godard & David Leclère & Pierre Cantelaube & Cyril Bourgeois & Mél, 2025. "The European agro-economic model AROPAj," Working Papers hal-04109872, HAL.

    More about this item

    Keywords

    ;

    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:eaae05:24567. 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.