IDEAS home Printed from https://ideas.repec.org/a/wly/ajagec/v103y2021i2p721-742.html
   My bibliography  Save this article

Oil Price Pass through to Agricultural Commodities†

Author

Listed:
  • Clark Lundberg
  • Tristan Skolrud
  • Bahram Adrangi
  • Arjun Chatrath

Abstract

Energy represents an important share of production costs for many agricultural commodities. Previous studies have found mixed evidence of a pass‐through relationship between oil prices and agricultural commodity prices, a relationship that has the potential to disrupt farm‐level decision making. We propose that these mixed findings are in part due to heterogeneity in the pass‐through relationship across time horizons. We use a new wavelet‐based regression approach to explore horizon‐based heterogeneity in the relationship between oil and agricultural commodity prices. We find strong evidence of heterogeneity across time horizons and commodities. We develop a stylized model of agricultural production and show that agricultural contracts can generate price stickiness that leads to heterogeneity in input price pass through over different horizons. We also find evidence that recent technological shifts have led to a structural change in this horizon‐based heterogeneity.

Suggested Citation

  • Clark Lundberg & Tristan Skolrud & Bahram Adrangi & Arjun Chatrath, 2021. "Oil Price Pass through to Agricultural Commodities†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 721-742, March.
  • Handle: RePEc:wly:ajagec:v:103:y:2021:i:2:p:721-742
    DOI: 10.1002/ajae.12088
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ajae.12088
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ajae.12088?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. Xi Yang & Nicholas D. Paulson & Madhu Khanna, 2016. "Optimal Mix of Vertical Integration and Contracting for Energy Crops: Effect of Risk Preferences and Land Quality," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 632-654.
    2. Cartwright, Phillip A. & Riabko, Natalija, 2015. "Measuring the effect of oil prices on wheat futures prices," Research in International Business and Finance, Elsevier, vol. 33(C), pages 355-369.
    3. Lutz Kilian, 2016. "The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 185-205.
    4. Madhu Khanna & Jordan Louviere & Xi Yang, 2017. "Motivations to grow energy crops: the role of crop and contract attributes," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 263-277, May.
    5. 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.
    6. Teterin, Pavel & Brooks, Robert & Enders, Walter, 2016. "Smooth volatility shifts and spillovers in U.S. crude oil and corn futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 22-36.
    7. Elie Bouri & Imad Kachacha & Donald Lien & David Roubaud, 2017. "Short- and long-run causality across the implied volatility of crude oil and agricultural commodities," Economics Bulletin, AccessEcon, vol. 37(2).
    8. Hitaj, Claudia & Boslett, Andrew & Weber, Jeremy G., 2014. "Shale Development and Agriculture," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 29(4), pages 1-7.
    9. Annastiina Silvennoinen & Susan Thorp, 2016. "Crude Oil and Agricultural Futures: An Analysis of Correlation Dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(6), pages 522-544, June.
    10. GianCarlo Moschini & Harvey Lapan & Hyunseok Kim, 2017. "The Renewable Fuel Standard in Competitive Equilibrium: Market and Welfare Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1117-1142.
    11. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    12. Richard T. Rogers & Richard J. Sexton, 1994. "Assessing the Importance of Oligopsony Power in Agricultural Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(5), pages 1143-1150.
    13. Clark Lundberg, 2019. "Identifying horizon-based heterogeneity in the cross section of portfolio returns," Economics Bulletin, AccessEcon, vol. 39(2), pages 1163-1175.
    14. Tomislav Vukina & Porametr Leegomonchai, 2006. "Oligopsony Power, Asset Specificity, and Hold-Up: Evidence from the Broiler Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 589-605.
    15. Stanton, B.F., 1961. "Seasonal Demand for Beef, Pork, and Broilers," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 13(1), pages 1-14, January.
    16. Jean-Paul Chavas & Thomas L. Cox, 1988. "A Nonparametric Analysis of Agricultural Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 303-310.
    17. Christiane Baumeister & Lutz Kilian, 2014. "Do oil price increases cause higher food prices? [Biofuels, binding constraints, and agricultural commodity price volatility]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(80), pages 691-747.
    18. Kwabena Krah & Daniel R Petrolia & Angelica Williams & Keith H Coble & Ardian Harri & Roderick M Rejesus, 2018. "Producer Preferences for Contracts on a Risky Bioenergy Crop," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(2), pages 240-258.
    19. 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.
    20. Fowowe, Babajide, 2016. "Do oil prices drive agricultural commodity prices? Evidence from South Africa," Energy, Elsevier, vol. 104(C), pages 149-157.
    21. Steven Y. Wu, 2014. "Adapting Contract Theory to Fit Contract Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1241-1256.
    22. 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.
    23. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
    24. James M. MacDonald, 2006. "Agricultural Contracting, Competition, and Antitrust," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(5), pages 1244-1250.
    25. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    26. Alexander, Corinne & Ivanic, Rasto & Rosch, Stephanie & Tyner, Wallace & Wu, Steven Y. & Yoder, Joshua R., 2012. "Contract theory and implications for perennial energy crop contracting," Energy Economics, Elsevier, vol. 34(4), pages 970-979.
    27. Ephraim Leibtag, 2009. "How Much and How Quick? Pass through of Commodity and Input Cost Changes to Retail Food Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1462-1467.
    28. Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017. "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, vol. 66(C), pages 122-139.
    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. Yongxi Ma & Lu Zhang & Shixiong Song & Shuao Yu, 2022. "Impacts of Energy Price on Agricultural Production, Energy Consumption, and Carbon Emission in China: A Price Endogenous Partial Equilibrium Model Analysis," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    2. 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).
    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. Zhang, Tianding & Zeng, Song, 2023. "Dynamic comovement and extreme risk spillovers between international crude oil and China's non-ferrous metal futures market," Resources Policy, Elsevier, vol. 80(C).
    5. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    6. Li, Houjian & Li, Yanjiao & Guo, Lili, 2023. "Extreme risk spillover effect and dynamic linkages between uncertainty and commodity markets: A comparison between China and America," Resources Policy, Elsevier, vol. 85(PA).
    7. Luciano Gutierrez & Guillaume Pierre & Maria Sabbagh, 2022. "Agricultural Grain Markets in the COVID-19 Crisis, Insights from a GVAR Model," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    8. 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.
    9. Omid Zamani & Thomas Bittmann & Jens‐Peter Loy, 2022. "The role of temperature for seasonal market integration: a case study of poultry in Iran," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 187-215, January.
    10. Luca Cattivelli & Federico Antonioli, 2023. "When cointegration is interrupted: Price transmission analysis in the Italian dairy‐feed industry," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 744-761, July.
    11. Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
    12. Wenbin Du & You Wu & Yunliang Zhang & Ya Gao, 2022. "The Impact Effect of Coal Price Fluctuations on China’s Agricultural Product Price," Sustainability, MDPI, vol. 14(15), pages 1-15, July.

    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. 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).
    2. 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).
    3. Tiwari, Aviral Kumar & Boachie, Micheal Kofi & Suleman, Muhammed Tahir & Gupta, Rangan, 2021. "Structure dependence between oil and agricultural commodities returns: The role of geopolitical risks," Energy, Elsevier, vol. 219(C).
    4. 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).
    5. 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).
    6. 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.
    7. 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).
    8. Yahya, Muhammad & Oglend, Atle & Dahl, Roy Endré, 2019. "Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach," Energy Economics, Elsevier, vol. 80(C), pages 277-296.
    9. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    10. Monika Roman & Aleksandra Górecka & Joanna Domagała, 2020. "The Linkages between Crude Oil and Food Prices," Energies, MDPI, vol. 13(24), pages 1-18, December.
    11. Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017. "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, vol. 66(C), pages 122-139.
    12. 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).
    13. 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.
    14. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    15. Chen, Peng & He, Limin & Yang, Xuan, 2021. "On interdependence structure of China's commodity market," Resources Policy, Elsevier, vol. 74(C).
    16. 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.
    17. 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).
    18. 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).
    19. Dahl, Roy Endré & Oglend, Atle & Yahya, Muhammad, 2020. "Dynamics of volatility spillover in commodity markets: Linking crude oil to agriculture," Journal of Commodity Markets, Elsevier, vol. 20(C).
    20. Aye, Goodness C. & Odhiambo, Nicholas M., 2021. "Oil prices and agricultural growth in South Africa: A threshold analysis," Resources Policy, Elsevier, vol. 73(C).

    More about this item

    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:wly:ajagec:v:103:y:2021:i:2:p:721-742. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1467-8276 .

    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.