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Price Interaction Between Crude Oil, Selected Grains, and Oilseeds in South Africa

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  • Kgabo Lucracia Ledwaba

    (Department of Agricultural Economics, University of Limpopo, Polokwane 0727, South Africa)

  • Chiedza L. Muchopa

    (Department of Agricultural Economics, University of Limpopo, Polokwane 0727, South Africa)

  • Abenet Belete

    (Department of Agricultural Economics, University of Limpopo, Polokwane 0727, South Africa)

Abstract

The dynamic interaction between crude oil prices and the prices of grains and oilseed is critical yet a complex issue in agriculture given the potential impact of the energy sector price fluctuations on production costs, transportation, and processing. This study explores the interactions between prices of crude oil, key grains, and oilseeds (maize, soybean, and wheat) in South Africa from 2018 to 2022. Utilising monthly data, this study employs the Auto-Regressive Distributed Lag (ARDL) model to assess the short-term and long-term relationships, and the Granger causality test to determine the causality directions. Results revealed a mixed long-term cointegration wherein crude oil prices and the prices of maize as well as soybean have a relationship, but no evidence of such a relationship exists for wheat prices. Additionally, no short-term effects were observed, suggesting that immediate fluctuations in crude oil prices do not influence the prices of maize, soybean, and wheat. Instead, short-term prices movements of the grains and oilseeds may be driven by other factors that could be of interest to policymakers. Furthermore, the Granger causality findings show no causality direction between prices of crude oil and the selected grain and oilseed. These findings challenge the presumed direct connection between energy and agricultural prices, thus offering policymakers a perspective to redirect their focus to formulate short-term price policy strategies that decrease dependability on crude oil to promote sustainability in the agricultural sector without disrupting the progress towards achieving Sustainable Development Goal 2 of ending hunger.

Suggested Citation

  • Kgabo Lucracia Ledwaba & Chiedza L. Muchopa & Abenet Belete, 2025. "Price Interaction Between Crude Oil, Selected Grains, and Oilseeds in South Africa," Sustainability, MDPI, vol. 17(2), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:618-:d:1567163
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    References listed on IDEAS

    as
    1. Mehmet Balcilar & Shinhye Chang & Rangan Gupta & Vanessa Kasongo & Clement Kyei, 2016. "The relationship between oil and agricultural commodity prices in South Africa: A quantile causality approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(3), pages 93-107, July-Sept.
    2. Harri, Ardian & Nalley, Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 501-510, August.
    3. Fernandez-Perez, Adrian & Frijns, Bart & Tourani-Rad, Alireza, 2016. "Contemporaneous interactions among fuel, biofuel and agricultural commodities," Energy Economics, Elsevier, vol. 58(C), pages 1-10.
    4. Emeka Nkoro & Aham Kelvin Uko, 2016. "Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 5(4), pages 1-3.
    5. Mohamed Afzal Norat, 2005. "Diagnostic Checks in Time Series," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 256-256, January.
    6. Chiu, Fan-Ping & Hsu, Chia-Sheng & Ho, Alan & Chen, Chi-Chung, 2016. "Modeling the price relationships between crude oil, energy crops and biofuels," Energy, Elsevier, vol. 109(C), pages 845-857.
    7. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    8. Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modeling the Relationship between Crude Oil and Agricultural Commodity Prices," Energies, MDPI, vol. 12(7), pages 1-41, April.
    9. Ahdi N. Ajmi & Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2015. "Causality between exports and economic growth in South Africa: evidence from linear and nonlinear tests," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(2), pages 163-181, April-Jun.
    10. Eleni Zafeiriou & Garyfallos Arabatzis & Paraskevi Karanikola & Stilianos Tampakis & Stavros Tsiantikoudis, 2018. "Agricultural Commodities and Crude Oil Prices: An Empirical Investigation of Their Relationship," Sustainability, MDPI, vol. 10(4), pages 1-11, April.
    11. Baffes, John, 2007. "Oil spills on other commodities," Resources Policy, Elsevier, vol. 32(3), pages 126-134, September.
    12. Gerhard Engelbrecht & Sarina Claassens & Charlotte M. S. Mienie & Hendrika Fourie, 2020. "South Africa: An Important Soybean Producer in Sub-Saharan Africa and the Quest for Managing Nematode Pests of the Crop," Agriculture, MDPI, vol. 10(6), pages 1-19, June.
    13. Gutierrez, Carlos Enrique Carrasco & Souza, Reinaldo Castro & Guillén, Osmani Teixeira de Carvalho, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    14. Omer Ozcicek & W. DOUGLAS McMILLIN, 1999. "Lag length selection in vector autoregressive models: symmetric and asymmetric lags," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 517-524.
    15. repec:bla:jorssa:v:168:y:2005:i:1:p:256-256 is not listed on IDEAS
    16. Beckmann, Joscha & Czudaj, Robert L. & Arora, Vipin, 2020. "The relationship between oil prices and exchange rates: Revisiting theory and evidence," Energy Economics, Elsevier, vol. 88(C).
    17. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.
    18. Nazlioglu, Saban & Soytas, Ugur, 2012. "Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 1098-1104.
    19. Hanson, Kenneth & Robinson, Sherman & Schluter, Gerald E., 1993. "Sectoral Effects Of A World Oil Price Shock: Economywide Linkages To The Agricultural Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(01), pages 1-21, July.
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