IDEAS home Printed from https://ideas.repec.org/a/ags/ccsesa/230373.html
   My bibliography  Save this article

Impact of Energy Price Variability on Global Fertilizer Price: Application of Alternative Volatility Models

Author

Listed:
  • Sanyal, Prabuddha
  • Malczynski, Leonard A.
  • Kaplan, Paul

Abstract

This study evaluates the effects of volatility in crude oil and natural gas prices on fertilizer price variations. Specifically, the study looks at the mean and volatility effects of oil and natural gas prices on both mean and volatility changes in fertilizer prices. Both symmetric models [GARCH (1, 1)] and asymmetric models [GJR (1, 1)] were used to model volatility in fertilizer prices and to evaluate the effects of the volatility over different time periods using Bai-Perron structural break tests. The results show that changes in oil and natural gas prices increased fertilizer prices after the crisis period, during June 2007 to June 2008. Both the ARCH and GARCH had significant effects on fertilizer prices, suggesting that the volatility effects of oil and natural gas prices on fertilizer prices were also significant. Furthermore, the maximum impact of higher energy prices depends on triple superphosphate and diammonium phosphate (DAP) leading to higher production costs and consequent increase in total farm expenditures for crop producers. These higher production costs invariably have a negative effect on farm profitability, thus reducing the investment levels in the farm sector.

Suggested Citation

  • Sanyal, Prabuddha & Malczynski, Leonard A. & Kaplan, Paul, 2015. "Impact of Energy Price Variability on Global Fertilizer Price: Application of Alternative Volatility Models," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(4).
    • Handle: RePEc:ags:ccsesa:230373
    DOI: 10.22004/ag.econ.230373
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/230373/files/P14-p132-147.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.230373?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. Galbraith, Craig, 2010. "An Examination of Factors Influencing Fertilizer Price Adjustment," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61646, Agricultural and Applied Economics Association.
    2. Beckman, Jayson F. & Borchers, Allison & Jones, Carol, 2013. "Agriculture's Supply and Demand for Energy and Energy Products," Economic Information Bulletin 149033, United States Department of Agriculture, Economic Research Service.
    3. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    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. Alamah, Zein & Elgammal, Walid & Fakih, Ali, 2024. "Does twitter economic uncertainty matter for wheat prices?," Economics Letters, Elsevier, vol. 234(C).
    2. Harun Uçak & Yakup Ari & Esin Yelgen, 2022. "The volatility connectedness among fertilisers and agricultural crop prices: Evidence from selected main agricultural products," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(9), pages 348-360.
    3. Chowdhury, Mohammad Ashraful Ferdous & Meo, Muhammad Saeed & Uddin, Ajim & Haque, Md. Mahmudul, 2021. "Asymmetric effect of energy price on commodity price: New evidence from NARDL and time frequency wavelet approaches," Energy, Elsevier, vol. 231(C).
    4. Khalfaoui, Rabeh & Shahzad, Umer & Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2023. "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 63-80.
    5. Zhengliang Yang & Xiaoxue Du & Liang Lu & Hernan Tejeda, 2022. "Price and Volatility Transmissions among Natural Gas, Fertilizer, and Corn Markets: A Revisit," JRFM, MDPI, vol. 15(2), pages 1-14, February.

    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. Jamal Bouoiyour, Refk Selmi, 2019. "Brexit and CDS spillovers across UK and Europe," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 16(1), pages 105-124, June.
    2. Pesaran, M.H. & Pick, A. & Pranovich, M., 2011. "Optimal Forecasts in the Presence of Structural Breaks (Updated 14 November 2011)," Cambridge Working Papers in Economics 1163, Faculty of Economics, University of Cambridge.
    3. Hartwell, Christopher A & Szybisz, Martin Andres, 2021. "Corralling Expectations: The Role of Institutions in (Hyper)Inflation," MPRA Paper 105612, University Library of Munich, Germany.
    4. Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023. "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 235(2), pages 720-744.
    5. Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Staff Working Papers 05-44, Bank of Canada.
    6. Ana Iregui & Jesús Otero, 2013. "The long-run behaviour of the terms of trade between primary commodities and manufactures: a panel data approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(1), pages 35-56, April.
    7. Martin Lettau & Stijn Van Nieuwerburgh, 2008. "Reconciling the Return Predictability Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1607-1652, July.
    8. Oscar Bajo-Rubio & Carmen Diaz-Roldan & Vicente Esteve, 2008. "US deficit sustainability revisited: a multiple structural change approach," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1609-1613.
    9. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    10. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    11. António Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2019. "Assessing the sustainability of external imbalances in the European Union," The World Economy, Wiley Blackwell, vol. 42(2), pages 320-348, February.
    12. Stillwagon, Josh R., 2015. "Testing the expectations hypothesis with survey forecasts: The impacts of consumer sentiment and the zero lower bound in an I(2) CVAR," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 85-101.
    13. Essahbi Essaadi & Jamel Jouini & Wajih Khallouli, 2009. "The Asian Crisis Contagion: A Dynamic Correlation Approach Analysis," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 56(2), pages 241-260.
    14. McLaughlin, Darragh & McLaughlin, Eoin & Kenny, Seán, 2025. "Taking a punt: Monetary experimentation and the Irish macroeconomic crisis of 1955-56," Accountancy, Economics, and Finance Working Papers 2025-01, Heriot-Watt University, Department of Accountancy, Economics, and Finance.
    15. Brian Chi-ang Lin & Siqi Zheng & Felix Pretis & Lea Schneider & Jason E. Smerdon & David F. Hendry, 2016. "Detecting Volcanic Eruptions In Temperature Reconstructions By Designed Break-Indicator Saturation," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 403-429, July.
    16. Bataa, Erdenebat & Park, Cheolbeom, 2017. "Is the recent low oil price attributable to the shale revolution?," Energy Economics, Elsevier, vol. 67(C), pages 72-82.
    17. Ferreira, Pedro Cavalcanti & Galvao Jr., Antonio F. & Gomes, Fabio Augusto Reis & Pessoa, Samuel de Abreu, 2010. "The effects of external and internal shocks on total factor productivity," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 298-309, August.
    18. Alfred A. Haug, 2014. "On real interest rate persistence: the role of breaks," Applied Economics, Taylor & Francis Journals, vol. 46(10), pages 1058-1066, April.
    19. M. Hashem Pesaran & Andreas Pick, 2008. "Forecasting Random Walks Under Drift Instability," CESifo Working Paper Series 2293, CESifo.
    20. J. Hoyo & G. Llorente & C. Rivero, 2019. "Testing for Constant Parameters in Nonlinear Models: A Quick Procedure with an Empirical Illustration," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 113-137, June.

    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:ccsesa:230373. 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: http://www.ccsenet.org/sar .

    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.