IDEAS home Printed from https://ideas.repec.org/p/uza/wpaper/27561.html
   My bibliography  Save this paper

Oil prices and agricultural growth in South Africa: A threshold analysis

Author

Listed:
  • Aye, Goodness C
  • Odhiambo, Nicholas M

Abstract

Oil plays a pivotal role in the growth of agriculture as a combustion lubricant for machineries and equipment used in the farming enterprise. Several studies have shown that a relationship exists between oil prices and agricultural growth without clear boundaries beyond which these prices are detrimental to the growth. Therefore, this study is conducted to identify the threshold above which oil prices will adversely affect agricultural growth in South Africa. Real West Texas Intermediate (WTI) and Real Brent crude oil prices in both Dollars and Rands were used as threshold variables in the threshold regression model of agricultural growth. The findings showed that beyond the threshold values of 12.99%, 15.68%, 15.69% and 15.70%, the prices of Real WTI crude oil in Dollars, Real Brent crude oil in Dollars, Real WTI crude oil in Rands and Real Brent crude oil in Rands respectively will have significant negative effects on agricultural growth in South Africa.

Suggested Citation

  • Aye, Goodness C & Odhiambo, Nicholas M, 2021. "Oil prices and agricultural growth in South Africa: A threshold analysis," Working Papers 27561, University of South Africa, Department of Economics.
  • Handle: RePEc:uza:wpaper:27561
    as

    Download full text from publisher

    File URL: http://uir.unisa.ac.za/bitstream/handle/10500/27561/Oil%20prices%20and%20agricultural%20growth%20in%20South%20Africa-%20A%20threshhold%20analysis.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gardebroek, Cornelis & Hernandez, Manuel A., 2013. "Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets," Energy Economics, Elsevier, vol. 40(C), pages 119-129.
    2. Zapata, Hector O. & Gauthier, Wayne M., 2003. "Threshold Models In Theory And Practice," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35147, Southern Agricultural Economics Association.
    3. Olasunkanmi, Oseni Isiaq & Oladele, Kinbode Sakiru, 2018. "Oil price shock and agricultural commodity prices in Nigeria: A Non-Linear Autoregressive Distributed Lag (NARDL) Approach," African Journal of Economic Review, African Journal of Economic Review, vol. 6(2), July.
    4. Ibrahim, Taofik, 2018. "Oil price Fluctuation and Aggregate Output Performance in Nigeria," MPRA Paper 88636, University Library of Munich, Germany, revised 12 Apr 2018.
    5. Anthony Paris, 2018. "On the link between oil and agricultural commodity prices: Do biofuels matter?," International Economics, CEPII research center, issue 155, pages 48-60.
    6. Shahzad, Syed Jawad Hussain & Hernandez, Jose Arreola & Al-Yahyaee, Khamis Hamed & Jammazi, Rania, 2018. "Asymmetric risk spillovers between oil and agricultural commodities," Energy Policy, Elsevier, vol. 118(C), pages 182-198.
    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. Fowowe, Babajide, 2016. "Do oil prices drive agricultural commodity prices? Evidence from South Africa," Energy, Elsevier, vol. 104(C), pages 149-157.
    9. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    10. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    11. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
    12. Moss, Charles B. & Livanis, Grigorios T. & Schmitz, Andrew, 2010. "The Effect of Increased Energy Prices on Agriculture: A Differential Supply Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(4), pages 1-8, November.
    13. Mohammad A. Razzaque & Sayema Haque Bidisha & Bazlul Haque Khondker, 2017. "Exchange Rate and Economic Growth," Journal of South Asian Development, , vol. 12(1), pages 42-64, April.
    14. Kumar, Satish & Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Hille, Erik, 2021. "Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach," Resources Policy, Elsevier, vol. 72(C).
    15. 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.
    16. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    17. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    18. Liu, Xiang-dong & Pan, Fei & Yuan, Lin & Chen, Yu-wang, 2019. "The dependence structure between crude oil futures prices and Chinese agricultural commodity futures prices: Measurement based on Markov-switching GRG copula," Energy, Elsevier, vol. 182(C), pages 999-1012.
    19. 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.
    20. Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
    21. Sands, Ron & Westcott, Paul & Price, J. Michael & Beckman, Jayson & Leibtag, Ephraim & Lucier, Gary & McBride, William D. & McGranahan, David & Morehart, Mitch & Roeger, Edward & Schaible, Glenn & Woj, 2011. "Impacts of Higher Energy Prices on Agriculture and Rural Economies," Economic Research Report 262236, United States Department of Agriculture, Economic Research Service.
    22. Sun, Yanpeng & Mirza, Nawazish & Qadeer, Abdul & Hsueh, Hsin-Pei, 2021. "Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed?," Resources Policy, Elsevier, vol. 72(C).
    23. 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.
    24. Wang, Xiao & Zhang, Chuanguo, 2014. "The impacts of global oil price shocks on China׳s fundamental industries," Energy Policy, Elsevier, vol. 68(C), pages 394-402.
    25. Chen, Peng, 2015. "Global oil prices, macroeconomic fundamentals and China's commodity sector comovements," Energy Policy, Elsevier, vol. 87(C), pages 284-294.
    26. Zhang, Chuanguo & Chen, Xiaoqing, 2014. "The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries," Energy Policy, Elsevier, vol. 66(C), pages 32-41.
    27. Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2010. "Modeling the relationship between the oil price and global food prices," Applied Energy, Elsevier, vol. 87(8), pages 2517-2525, August.
    28. Eissa, Mohamad Abdelaziz & Al Refai, Hisham, 2019. "Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil," Resources Policy, Elsevier, vol. 64(C).
    29. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    30. Isaac B. Oluwatayo & Henrietta U. Ukpe, 2015. "Effect of Petroleum Pricing on Agricultural Production in Nigeria: An Error Correction Modeling Approach," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 6(3), pages 17-28, July.
    31. De Martino Jannuzzi, Gilberto, 1991. "Competition between energy and agricultural production : A discussion of a country's best strategies," Energy Economics, Elsevier, vol. 13(3), pages 199-202, July.
    32. Junior T. Chiweza & Goodness C. Aye, 2018. "The effects of oil price uncertainty on economic activities in South Africa," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1518117-151, 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. Waseem Khan & Vishal Sharma & Saghir Ahmad Ansari, 2022. "Modeling the dynamics of oil and agricultural commodity price nexus in linear and nonlinear frameworks: A case of emerging economy," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1733-1784, August.
    2. Miroslava Ivanova & Lilko Dospatliev, 2023. "Effects of Diesel Price on Changes in Agricultural Commodity Prices in Bulgaria," Mathematics, MDPI, vol. 11(3), pages 1-22, January.
    3. Anna Górska & Monika Krawiec, 2021. "Analysis of Interrelationships between Markets of Fuels in the Visegrad Group Countries from 2016 to 2020," Energies, MDPI, vol. 14(20), pages 1-14, October.

    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. Cao, Yan & Cheng, Sheng, 2021. "Impact of COVID-19 outbreak on multi-scale asymmetric spillovers between food and oil prices," Resources Policy, Elsevier, vol. 74(C).
    2. Hanif, Waqas & Areola Hernandez, Jose & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2021. "Tail dependence risk and spillovers between oil and food prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 195-209.
    3. Waseem Khan & Vishal Sharma & Saghir Ahmad Ansari, 2022. "Modeling the dynamics of oil and agricultural commodity price nexus in linear and nonlinear frameworks: A case of emerging economy," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1733-1784, August.
    4. Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
    5. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    6. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    7. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    8. Cheng, Natalie Fang Ling & Hasanov, Akram Shavkatovich & Poon, Wai Ching & Bouri, Elie, 2023. "The US-China trade war and the volatility linkages between energy and agricultural commodities," Energy Economics, Elsevier, vol. 120(C).
    9. Wei Jiang & Ruijie Gao & Chao Lu, 2022. "The Analysis of Causality and Risk Spillover between Crude Oil and China’s Agricultural Futures," IJERPH, MDPI, vol. 19(17), pages 1-16, August.
    10. Vo, Long Hai & Le, Thai-Ha, 2021. "Eatery, energy, environment and economic system, 1970–2017: Understanding volatility spillover patterns in a global sample," Energy Economics, Elsevier, vol. 100(C).
    11. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    12. Raza, Syed Ali & Guesmi, Khaled & Belaid, Fateh & Shah, Nida, 2022. "Time-frequency causality and connectedness between oil price shocks and the world food prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    13. Bilgili, Faik & Koçak, Emrah & Kuşkaya, Sevda & Bulut, Ümit, 2020. "Estimation of the co-movements between biofuel production and food prices: A wavelet-based analysis," Energy, Elsevier, vol. 213(C).
    14. Mokni, Khaled & Ben-Salha, Ousama, 2020. "Asymmetric causality in quantiles analysis of the oil-food ‏ ‏nexus since the 1960s," Resources Policy, Elsevier, vol. 69(C).
    15. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    16. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Adewuyi, Adeolu O. & Lee, Chien-Chiang, 2022. "Quantile risk spillovers between energy and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Energy Economics, Elsevier, vol. 113(C).
    17. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    18. 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.
    19. Karel Janda & Ladislav Kristoufek, 2019. "The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management," CAMA Working Papers 2019-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Olanipekun, Ifedolapo O. & Usman, Ojonugwa, 2019. "Modelling Food and Nonfood Production in India: The Effects of Oil Price using Bayer-Hanck Combined Cointegration Approach," MPRA Paper 96336, University Library of Munich, Germany, revised 2019.

    More about this item

    Keywords

    Oil prices; agricultural growth; threshold effect;
    All these keywords.

    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:uza:wpaper:27561. 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: Shaun Donovan (email available below). General contact details of provider: https://edirc.repec.org/data/deusaza.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.