IDEAS home Printed from https://ideas.repec.org/a/iag/reviea/v15y2018i2p209-218.html
   My bibliography  Save this article

Romanian Pigmeat From The Perspective Of International Forecasts

Author

Listed:
  • Iuliana IONEL

    (Institute of Agricultural Economics, Romanian Academy, Bucharest)

Abstract

Pork is the most popular meat type in Romanians’ consumption, accounting for more than half of total meat consumption per capita. With the lifting of the export ban on Romanian pork on the EU market (2014), the experts expected that this would have a positive impact on exports. Despite this, the Russian embargo on the EU pork made Romania become, like other countries from Eastern Europe, an outlet of the big Western European pork producers. In these conditions, the forecasts of international experts tend to point to the continuation of the Romanian pork sector dependence on frozen and refrigerated pork imports. Productivity increase, based on price cuts and technological efficiency improvement, represents the main driver for increasing pork production in the developing countries. It is estimated that compared to the previous decade, pork consumption will increase more slowly, due to high production costs and slowdown in population growth.

Suggested Citation

  • Iuliana IONEL, 2018. "Romanian Pigmeat From The Perspective Of International Forecasts," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 15(2), pages 209-218.
  • Handle: RePEc:iag:reviea:v:15:y:2018:i:2:p:209-218
    as

    Download full text from publisher

    File URL: http://www.eadr.ro/RePEc/iag/iag_pdf/AERD1802_209-218.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allen, P. Geoffrey, 1994. "Economic forecasting in agriculture," International Journal of Forecasting, Elsevier, vol. 10(1), pages 81-135, June.
    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. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. Paroissien, Emmanuel, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," International Journal of Forecasting, Elsevier, vol. 36(2), pages 292-309.
    3. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
    4. Li, Anzhi & Dorfman, Jeffrey H., 2014. "Composite Qualitative Forecasting of Futures Prices: Using One Commodity to Help Forecast Another," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169790, Agricultural and Applied Economics Association.
    5. Cameron, Andrew & Nelson, Rohan, 2022. "Enabling Users to Evaluate the Accuracy of ABARES Agricultural Forecasts," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(7), November.
    6. Kotevska, Ana & Dimitrievski, Dragi & Erjavec, Emil, 2013. "Partial Equilibrium Model As A Tool For Policy Analysis In Agriculture: An Empirical Evidence Of Macedonia," 50th Anniversary Seminar, Agriculture and Rural Development -Challenges of Transition and Integration Processes, September 27, 2013 161772, University of Belgrade, Department of Agricultural Economics, Faculty of Agriculture.
    7. Manojit Chattopadhyay & Subrata Kumar Mitra, 2018. "Assessing the predictability of different kinds of models in estimating impacts of climatic factors on food grain availability in India," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 50-64, March.
    8. Hloušková, Z. & Ženíšková, P. & Prášilová, M., 2018. "Comparison of Agricultural Costs Prediction Approaches," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(01).
    9. Dietz, Sarah N. & Aulerich, Nicole M. & Irwin, Scott H. & Good, Darrel L., 2009. "The Marketing Performance of Illinois and Kansas Wheat Farmers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(1), pages 1-15, April.
    10. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad, 2014. "Usda And Private Analysts' Forecasts Of Ending Stocks: How Good Are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170642, Agricultural and Applied Economics Association.
    11. Bjørn Gunnar Hansen & Yushu Li, 2017. "An Analysis of Past World Market Prices of Feed and Milk and Predictions for the Future," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 175-193, April.
    12. Aleksandra Kowalska & Milena Bieniek, 2022. "Meeting the European green deal objective of expanding organic farming," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 607-633, September.
    13. Good, Darrel L. & Irwin, Scott H. & Isengildina, Olga, 2006. "The Value of USDA Situation and Outlook Information in Hog and Cattle Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-21, August.
    14. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip & Etienne, Xiaoli, 2012. "Composite and Outlook Forecast Accuracy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-19, August.
    15. Ribeiro, Celma O. & Oliveira, Sydnei M., 2011. "A hybrid commodity price-forecasting model applied to the sugar–alcohol sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-19.
    16. Taylor, Christopher W., 2012. "Market Reactions to USDA Reports: State Analysis of Corn Price Response," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124661, Agricultural and Applied Economics Association.
    17. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    18. Pokorný, Jiří & Froněk, Pavel, 2021. "Price Forecasting Accuracy of the OECD-FAO's Agricultural Outlook and the European Commission DG AGRI's Medium-Term Agricultural Outlook Report," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(3), September.
    19. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2022. "Common factors and the dynamics of cereal prices. A forecasting perspective," Journal of Commodity Markets, Elsevier, vol. 28(C).
    20. Kastens, Terry L. & Schroeder, Ted C., 1996. "Efficiency Tests Of July Kansas City Wheat Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-12, December.

    More about this item

    Keywords

    pork; price; new technologies.;
    All these keywords.

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

    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:iag:reviea:v:15:y:2018:i:2:p:209-218. 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/iaacaro.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.