IDEAS home Printed from https://ideas.repec.org/p/ags/eaa155/245878.html
   My bibliography  Save this paper

Linking three market models to project Russian and Ukrainian wheat markets till 2030

Author

Listed:
  • Wolf, Verena
  • Deppermann, Andre
  • Tabeau, Andrzej
  • Banse, Martin
  • van Berkum, Siemen
  • Haß, Marlen
  • Havlik, Petr
  • Philippidis, George
  • Salamon, Petra
  • Verma, Monika

Abstract

Several economic models project global agricultural market developments. In each of these models, certain relevant aspects influencing agricultural markets are underrepresented. In order to overcome this, three economic models are linked to each other, namely GLOBIOM, AGMEMOD and MAGNET. The method to link these models consists of several parts: mapping, harmonization, data transfer, scenario development and successive model runs. The developed Model Junction Linkage Tool (MOJITO) facilitates and automates these parts. In addition to a common baseline scenario, two scenarios reflecting two important factors in the future development of wheat markets in Ukraine and Russia are analyzed. While the baseline results differ widely between the models the scenarios develop in a similar fashion.

Suggested Citation

  • Wolf, Verena & Deppermann, Andre & Tabeau, Andrzej & Banse, Martin & van Berkum, Siemen & Haß, Marlen & Havlik, Petr & Philippidis, George & Salamon, Petra & Verma, Monika, 2016. "Linking three market models to project Russian and Ukrainian wheat markets till 2030," 155th Seminar, September 19-21, 2016, Kiev, Ukraine 245878, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa155:245878
    DOI: 10.22004/ag.econ.245878
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/245878/files/Wolf_etal_PaperFor155EAAEseminar_final.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.245878?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. Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
    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. Ruth Delzeit & Robert Beach & Ruben Bibas & Wolfgang Britz & Jean Chateau & Florian Freund & Julien Lefevre & Franziska Schuenemann & Timothy Sulser & Hugo Valin & Bas van Ruijven & Matthias Weitzel &, 2020. "Linking Global CGE Models with Sectoral Models to Generate Baseline Scenarios: Approaches, Challenges, and Opportunities," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 162-195, June.
    2. Ruth Delzeit & Roberto Beach & Ruben Bibas & Wolfgang Britz & Jean Chateau & Florian Freund & Julien Lefevre & Franziska Schuenemann & Timothy Sulser & Hugo Valin & Bas van Ruijven & Matthias Weitzel , 2020. "Linking global CGE models with sectoral models to generate baseline scenarios: Approaches, opportunities and pitfalls," Post-Print hal-03128285, HAL.

    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. Ceglar, A. & van der Wijngaart, R. & de Wit, A. & Lecerf, R. & Boogaard, H. & Seguini, L. & van den Berg, M. & Toreti, A. & Zampieri, M. & Fumagalli, D. & Baruth, B., 2019. "Improving WOFOST model to simulate winter wheat phenology in Europe: Evaluation and effects on yield," Agricultural Systems, Elsevier, vol. 168(C), pages 168-180.
    2. Mitter, Hermine & Schmid, Erwin, 2019. "Computing the economic value of climate information for water stress management exemplified by crop production in Austria," Agricultural Water Management, Elsevier, vol. 221(C), pages 430-448.
    3. Dono, Gabriele & Cortignani, Raffaele & Giraldo, Luca & Doro, Luca & Roggero, Pier Paolo, 2014. "Assessing the awareness of climate change as a factor of adaptation in the agricultural sector," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 173110, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Xiong, Wei & Balkovič, Juraj & van der Velde, Marijn & Zhang, Xuesong & Izaurralde, R. César & Skalský, Rastislav & Lin, Erda & Mueller, Nathan & Obersteiner, Michael, 2014. "A calibration procedure to improve global rice yield simulations with EPIC," Ecological Modelling, Elsevier, vol. 273(C), pages 128-139.
    5. van Zelm, Rosalie & van der Velde, Marijn & Balkovic, Juraj & Čengić, Mirza & Elshout, Pieter M.F. & Koellner, Thomas & Núñez, Montserrat & Obersteiner, Michael & Schmid, Erwin & Huijbregts, Mark A.J., 2018. "Spatially explicit life cycle impact assessment for soil erosion from global crop production," Ecosystem Services, Elsevier, vol. 30(PB), pages 220-227.
    6. 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).
    7. Zhang, Yuanhong & Peng, Xingxing & Ning, Fang & Dong, Zhaoyang & Wang, Rui & Li, Jun, 2022. "Assessing the response of orchard productivity to soil water depletion using field sampling and modeling methods," Agricultural Water Management, Elsevier, vol. 273(C).
    8. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    9. Li, Runwei & Wei, Chenyang & Afroz, Mahnaz Dil & Lyu, Jun & Chen, Gang, 2021. "A GIS-based framework for local agricultural decision-making and regional crop yield simulation," Agricultural Systems, Elsevier, vol. 193(C).
    10. Bao, Yawen & Hoogenboom, Gerrit & McClendon, Ron & Vellidis, George, 2017. "A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data," Agricultural Systems, Elsevier, vol. 150(C), pages 109-119.
    11. Bhattarai, Mukesh Dev & Secchi, Silvia & Schoof, Justin, 2017. "Projecting corn and soybeans yields under climate change in a Corn Belt watershed," Agricultural Systems, Elsevier, vol. 152(C), pages 90-99.
    12. Phoebe Koundouri & Angelos Alamanos & Jeffrey D Sachs, 2024. "Innovating for Sustainability: The Global Climate Hub," DEOS Working Papers 2403, Athens University of Economics and Business.
    13. Palazzo,Amanda & Valin,Hugo Jean Pierre & Batka,Miroslav & Havlík,Petr, 2019. "Investment Needs for Irrigation Infrastructure along Different Socioeconomic Pathways," Policy Research Working Paper Series 8744, The World Bank.
    14. Zhang, Jie & Campana, Pietro Elia & Yao, Tian & Zhang, Yang & Lundblad, Anders & Melton, Forrest & Yan, Jinyue, 2018. "The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States," Applied Energy, Elsevier, vol. 227(C), pages 449-464.
    15. Campana, P.E. & Lastanao, P. & Zainali, S. & Zhang, J. & Landelius, T. & Melton, F., 2022. "Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective," Agricultural Water Management, Elsevier, vol. 271(C).
    16. van der Velde, M. & Nisini, L., 2019. "Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015," Agricultural Systems, Elsevier, vol. 168(C), pages 203-212.
    17. Choi, Hyung Sik & Schneider, Uwe A. & Rasche, Livia & Cui, Junbo & Schmid, Erwin & Held, Hermann, 2015. "Potential effects of perfect seasonal climate forecasting on agricultural markets, welfare and land use: A case study of Spain," Agricultural Systems, Elsevier, vol. 133(C), pages 177-189.
    18. Marta Kozicka & Petr Havlík & Hugo Valin & Eva Wollenberg & Andre Deppermann & David Leclère & Pekka Lauri & Rebekah Moses & Esther Boere & Stefan Frank & Chris Davis & Esther Park & Noel Gurwick, 2023. "Feeding climate and biodiversity goals with novel plant-based meat and milk alternatives," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    19. Flach, Rafaela & Skalský, Rastislav & Folberth, Christian & Balkovič, Juraj & Jantke, Kerstin & Schneider, Uwe A., 2020. "Water productivity and footprint of major Brazilian rainfed crops – A spatially explicit analysis of crop management scenarios," Agricultural Water Management, Elsevier, vol. 233(C).
    20. Falkner, Katharina & Schmid, Erwin & Mitter, Hermine, 2021. "Integrated modelling of cost-effective policies to regulate Western Corn Rootworm under climate scenarios in Austria," Ecological Economics, Elsevier, vol. 188(C).

    More about this item

    Keywords

    Agricultural and Food Policy; International Relations/Trade;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eaa155:245878. 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.