IDEAS home Printed from https://ideas.repec.org/p/ags/eaa123/122473.html
   My bibliography  Save this paper

Potato Prices as Affected by Supply and Demand Factors: An Irish Case Study

Author

Listed:
  • Thorne, Fiona S.

Abstract

The supply and demand factors affecting the farm level price for Irish potatoes has undergone considerable change in the last two decades. On the demand side, per capita consumption has decreased by almost a half, and the use of potatoes has shifted from consumption of table stock potatoes towards greater levels of processed potato products. On the supply side, domestic production levels of potatoes decreased by just over 30 percent, whilst grower numbers decreased by greater than 75 percent over the same period. Against this background of significant changes in domestic consumption levels and patterns and domestic production of potatoes this paper examines the effect of these factors on potato price levels and variability. Farm level price and volatility is a concern for a number of reasons as it adds challenges for business planning, debt repayment, and, in some cases, solvency. Farm level price data and supply and use balance sheet data from Eurosta are used in an ARCH modelling framework to quantify and examine the factors affecting potato price mean levels and volatility.

Suggested Citation

  • Thorne, Fiona S., 2012. "Potato Prices as Affected by Supply and Demand Factors: An Irish Case Study," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122473, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa123:122473
    DOI: 10.22004/ag.econ.122473
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/122473/files/thorne.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.122473?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. Moledina, Amyaz A. & Roe, Terry L. & Shane, Mathew, 2004. "Measuring Commodity Price Volatility And The Welfare Consequences Of Eliminating Volatility," 2004 Annual meeting, August 1-4, Denver, CO 19963, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. O'Connor, Declan & Keane, Michael & Barnes, Edel, 2009. "Measuring Volatility in Dairy Commodity Prices," 113th Seminar, September 3-6, 2009, Chania, Crete, Greece 58106, European Association of Agricultural Economists.
    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. Anwar, Dr. Mumtaz & Shabbir, Dr. Ghulam & Shahid, M. Hassam & Samreen, Wajiha, 2015. "Determinants of Potato Prices and its Forecasting: A Case Study of Punjab, Pakistan," MPRA Paper 66678, University Library of Munich, Germany.
    2. Fuller, Kate Binzen & Brester, Gary & Boland, Michael, "undated". "Fries, Bakers, Tots, and Seed: Genetic Engineering and Varietal Selection," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261227, Agricultural and Applied Economics Association.
    3. Kate Binzen Fuller & Gary W Brester & Michael A Boland, 2018. "Genetic Engineering and Risk in Varietal Selection of Potatoes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 600-608.
    4. Koblianska, Inna & Seheda, Serhii & Khaietska, Olha & Kalachevska, Larysa & Klochko, Tetiana, 2022. "Determinants of potato producer prices in the peasant-driven market: the Ukrainian case," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(3), June.

    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. Rezitis, Anthony N. & Kastner, Gregor, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(2), January.
    2. Youngho Chang & Zheng Fang & Shigeyuki Hamori, 2017. "Volatility and Causality in Strategic Commodities: Characteristics, Myth and Evidence," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(8), pages 162-178, August.
    3. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
    4. Jordaan, Henry & Grove, Bennie & Jooste, Andre & Alemu, A.G., 2007. "Measuring the Price Volatility of Certain Field Crops in South Africa using the ARCH/GARCH Approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(3), pages 1-17, September.
    5. Sarker, Rakhal & Oyewumi, Olubukola Ayodeji, 2015. "Trade Policy Change And Price Volatility Spill-Over In A Customs Union: A Case Study Of Lamb Trade Between Namibia And South Africa," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(1), pages 1-14, January.
    6. Seiler, Volker, 2024. "The relationship between Chinese and FOB prices of rare earth elements – Evidence in the time and frequency domain," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 160-179.
    7. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Estimation with a FARIMA-GARCH Error Process," CoFE Discussion Papers 99/08, University of Konstanz, Center of Finance and Econometrics (CoFE).
    8. Corbet, Shaen & Larkin, Charles & McMullan, Caroline, 2020. "The impact of industrial incidents on stock market volatility," Research in International Business and Finance, Elsevier, vol. 52(C).
    9. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Minot, Nicholas, 2014. "Food price volatility in sub-Saharan Africa: Has it really increased?," Food Policy, Elsevier, vol. 45(C), pages 45-56.
    11. Umar, Muhammad & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Furqan, Mehreen, 2023. "Asymmetric volatility structure of equity returns: Evidence from an emerging market," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 330-336.
    12. Shively, Gerald E., 2001. "Price thresholds, price volatility, and the private costs of investment in a developing country grain market," Economic Modelling, Elsevier, vol. 18(3), pages 399-414, August.
    13. Lahmiri, Salim & Bekiros, Stelios, 2017. "Disturbances and complexity in volatility time series," Chaos, Solitons & Fractals, Elsevier, vol. 105(C), pages 38-42.
    14. Hao Chen & Qiulan Wan & Yurong Wang, 2014. "Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models," Energies, MDPI, vol. 7(7), pages 1-14, July.
    15. Tomanova, Lucie, 2013. "Exchange Rate Volatility and the Foreign Trade in CEEC," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 267, Ekonomik Yaklasim Association.
    16. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    17. Jumah, Adusei & Kunst, Robert M., 2001. "The Effects of Exchange-Rate Exposures on Equity Asset Markets," Economics Series 94, Institute for Advanced Studies.
    18. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    19. Gruener Hans Peter & Hayo Bernd & Hefeker Carsten, 2009. "Unions, Wage Setting and Monetary Policy Uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, October.
    20. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.

    More about this item

    Keywords

    Risk and Uncertainty;

    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:eaa123:122473. 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.