IDEAS home Printed from https://ideas.repec.org/p/ags/eaae05/24584.html
   My bibliography  Save this paper

Linking Farm and Market Models to Analyse the Effects of the EU Nitrate Directive for the Dutch Agricultural Sector

Author

Listed:
  • Helming, John F.M.
  • Hoogeveen, Marga W.
  • Mokveld, Lennard J.
  • Luesink, Harry H.

Abstract

This paper presents a modeling system that can be used to analyze the trade off between economy and environment. It takes into account manure policy, farm structure and manure surpluses at farm level as well as the economic effects of manure surpluses at market level. The modeling system consists of two models that are linked to each other by at the one-hand manure prices and distribution of manure over different destinations and at the other hand changes in agricultural and total manure production. One model is the so-called Manure and Ammonia Model (MAM). This model calculates manure surpluses and deficits at the farm level and distribution of manure to own farm, own region, other regions, export abroad and processing at the regional level. Moreover, MAM also calculates ammonia emissions coming from different sources. The second model is a market model that includes the most important agricultural markets. The models are calibrated for 2002. The modeling system is tested to analyze the effects of sharpened manure policies until 2006.

Suggested Citation

  • Helming, John F.M. & Hoogeveen, Marga W. & Mokveld, Lennard J. & Luesink, Harry H., 2005. "Linking Farm and Market Models to Analyse the Effects of the EU Nitrate Directive for the Dutch Agricultural Sector," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24584, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae05:24584
    DOI: 10.22004/ag.econ.24584
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/24584/files/cp05he05.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.24584?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. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    2. Komen, M H C & Peerlings, J H M, 1998. "Restricting Intensive Livestock Production: Economic Effects of Mineral Policy in the Netherlands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 25(1), pages 110-128.
    3. Darrell J. Bosch & James W. Pease, 2004. "Manure Applications and Nutrient Standards," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 14-25.
    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. 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.
    2. Key, Nigel D. & Kaplan, Jonathan D., 2007. "Multiple Environmental Externalities and Manure Management Policy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(1), pages 1-20, April.
    3. Key, Nigel D., 2004. "Manure Application Standards and EQIP Payments: The Distribution of Economic and Environmental Costs and Benefits across US Hog Farms," 2004 Annual meeting, August 1-4, Denver, CO 19937, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Helming, John & Peerlings, Jack, 2005. "Effects Of The EU Nitrate Directive for the Dutch Agricultural Sector: an Application of a Regional Model of Dutch Agriculture Based on Positive Mathematical Programming," 89th Seminar, February 2-5, 2005, Parma, Italy 234608, European Association of Agricultural Economists.
    5. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    6. 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).
    7. 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.
    8. Kaplan, Jonathan D. & Johansson, Robert C., 2003. "When The !%$? Hits The Land: Implications For Us Agriculture And Environment When Land Application Of Manure Is Constrained," 2003 Annual meeting, July 27-30, Montreal, Canada 22002, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. 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, April.
    10. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    11. Britz, Wolfgang & Kuhn, Arnim, 2011. "Can Hydro-economic River Basis Models Simulate Water Shadow Prices Under Asymmetric Access?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114272, European Association of Agricultural Economists.
    12. Masahiko Gemma & Yacov Tsur, 2007. "The Stabilization Value of Groundwater and Conjunctive Water Management under Uncertainty ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 540-548.
    13. Johansson, Robert C. & Kara, Erdal & Ribaudo, Marc, 2006. "On how environmental stringency influences BMP adoption," 2006 Annual meeting, July 23-26, Long Beach, CA 21207, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Schuck, Eric C. & Green, Gareth P., 2002. "Supply-based water pricing in a conjunctive use system: implications for resource and energy use," Resource and Energy Economics, Elsevier, vol. 24(3), pages 175-192, June.
    15. Kamel Louhichi & Aymeric Ricome & Sergio Gomez y Paloma, 2022. "Impacts of agricultural taxation in Sub‐Saharan Africa: Insights from agricultural produce cess in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 671-686, September.
    16. 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).
    17. Kreins, P. & Heidecke, C. & Gömann, H. & Hirt, U. & Wendland, F., 2011. "Möglichkeiten und Grenzen der wissenschaftlichen Politikanalyse zur Umsetzung der Wasserrahmenrichtlinie – Anwendung eines hydro-ökonomischen Modellverbundes für das Weser Einzugsgebiet," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    18. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:eaae05:24584. 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.