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Dergiler / Tarım Ekonomisi Dergisi / 2026 / Cilt: 32 Sayı: 1

Ham petrol ve biyodizelin seçilmiş tarım ürünleri üzerindeki etkilerinin karşılaştırılması

Comparison of the effects of crude oil and biodiesel on selected agricultural products

Ferhat Pehlivanoğlu(KOCAELI UNIV)0000-0001-6930-0181
Seda Ertürk(KOCAELİ ÜNİVERSİTESİ)0000-0001-5505-8750
Sayfa
1–14
Yayın Tarihi
2026-06-26
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Bulgular: Pozitif ve negatif fiyat şokları tarım ürünleri üzerinde asimetrik etkiler yaratmaktadır.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Amaç: Bu çalışma, ham petrol ve biyodizel fiyat şoklarının seçilmiş küresel tarımsal emtia fiyatları üzerindeki etkilerini karşılaştırmalı olarak analiz etmeyi amaçlamaktadır.
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Temel Bulgular & Veri:Biyoyakıtların alternatif enerji kaynağı olarak tarım piyasalarını nasıl etkilediği ve fosil yakıt dalgalanmalarını hafifletip hafifletmediği araştırılmaktadır.
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Sonuç & Katkı:Bulgular: Pozitif ve negatif fiyat şokları tarım ürünleri üzerinde asimetrik etkiler yaratmaktadır.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:2022 Verileri
⚙️Değişkenler:Tarım ürünleri · asimetrik etkiler · biyodizel

Özet

Amaç: Bu çalışma, ham petrol ve biyodizel fiyat şoklarının seçilmiş küresel tarımsal emtia fiyatları üzerindeki etkilerini karşılaştırmalı olarak analiz etmeyi amaçlamaktadır. Biyoyakıtların alternatif enerji kaynağı olarak tarım piyasalarını nasıl etkilediği ve fosil yakıt dalgalanmalarını hafifletip hafifletmediği araştırılmaktadır. Tasarım/Metodoloji/Yaklaşım: 1990:01 ile 2022:07 dönemine ait ham petrol, biyodizel, mısır, soya ve buğday fiyatları verileri Federal Reserve Bank (FED) veri tabanından elde edilmiştir. Asimetrik etkileri analiz etmek için doğrusal olmayan otoregresif dağıtılmış gecikmeli (NARDL) model iki ayrı regresyonda kullanılmıştır. Bu çalışmada enerjiden tarıma ve tarımda özellikle soyadan enerjiye iki yönlü bir çerçeve kullanılmıştır. Bulgular: Pozitif ve negatif fiyat şokları tarım ürünleri üzerinde asimetrik etkiler yaratmaktadır. Ham petrol fiyatlarındaki artışlar, soya ve buğday üzerinde anlamlı etkiler göstermektedir. biyodizel piyasasının uyum hızı, Brent piyasasıyla karşılaştırıldığında istatistiksel olarak benzer görünmektedir. Biyoyakıtla ilişkili ürünler (soya ve mısır), enerji fiyat değişimlerine karşı daha hassastır. Araştırma sınırlamaları/etkileri: Çalışma yalnızca beş değişkene ve küresel verilere odaklanmaktadır. Diğer biyoyakıt türleri kapsam dışıdır. Sonuçlar ülkelere ve dönemlere göre değişkenlik gösterebilir. Pratik uygulamalar: Biyoyakıt üretiminin teşvik edilmesi, tarım maliyetlerindeki dalgalanmaları azaltabilir ve enerji çeşitlendirme politikalarına katkı sağlayabilir. Sosyal çıkarımlar: Biyoyakıtlar, özellikle gelişmekte olan bölgelerde gıda güvenliğini artırabilir ve kırsal kalkınmayı destekleyebilir. Özgünlük/Değer: Bu çalışma, doğrusal olmayan bir çerçeve ile ham petrol ve biyodizel fiyat dinamiklerini eşzamanlı olarak inceleyerek literatüre katkı sağlamaktadır. Konuyla ilgili çalışmalar mevcut olsa da burada uygulanan karşılaştırmalı NARDL yaklaşımı, enerji ve tarım arasındaki etkileşimlere daha bütüncül bir bakış açısı sunmaktadır. Çalışma, yeni bir metodolojik yaklaşım sunmakta ve enerji ile tarım piyasaları arasındaki artan bağı vurgulamaktadır.

Abstract

Purpose: This study aims to comparatively analyze the effects of crude oil and biodiesel price shocks on the prices of selected global agricultural commodities. It investigates how biofuels, as alternative energy sources, influence agricultural markets and whether they mitigate the impact of fossil fuel volatility. Design/Methodology/Approach : Monthly data for crude oil, biodiesel, corn, soybean, and wheat prices from 1990:01–2025:06 were obtained from the Federal Reserve Bank (FED). The nonlinear autoregressive distributed lag (NARDL) model was employed to analyze asymmetric effects in two regression models. In this study, a two-way framework from energy to agriculture and specifically from soybeans to energy in agriculture is used. Findings: Positive and negative price shocks yield asymmetric impacts on agricultural products. Increases in crude oil prices significantly affect soybean and wheat. Biodiesel price shocks show faster adjustment and stronger impacts. Biofuel-related crops (soybean and corn) are more sensitive to energy price shifts. Research limitations/Implications : The study focuses only on five variables and global data. Other types of biofuels are excluded. Results may vary across countries and timeframes. Practical implications: Encouraging biofuel production can reduce agricultural cost volatility and support energy diversification policies. Social implications: Biofuels may enhance food security and promote rural development, especially in developing regions. Originality/Value: This study contributes to the literature by simultaneously examining crude oil and biodiesel price dynamics using a nonlinear framework. Although related studies exist, the comparative NARDL approach applied here offers a more integrated view of energy–agriculture interactions.It offers a novel methodological approach and highlights the deepening link between energy and agricultural markets.

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Bu Makaleye Atıf Yap

Pehlivanoğlu, F., Ertürk, S. (2026). Ham petrol ve biyodizelin seçilmiş tarım ürünleri üzerindeki etkilerinin karşılaştırılması. Tarım Ekonomisi Dergisi, Cilt: 32 Sayı: 1, 1–14. https://doi.org/10.24181/tarekoder.1686813

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Kaynakça (65)

  1. Alghalith, M. (2010), The interaction between food prices and oil prices. Energy Economics, 32(6), 1520-1522.
  2. Apergis, N., & Cooray, A. (2015), Asymmetric interest rate pass-through in the US, the UK and Australia: New evidence from selected individual banks. Journal of Macroeconomics, 45, 155-172.
  3. Atil, A., Lahiani, A., & Nguyen, D. K. (2014), Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices. Energy Policy, 65, 567-573.
  4. Avalos, F. (2014), Do oil prices drive food prices? The tale of a structural break. Journal of International Money and Finance, 42, 253-271.
  5. Avalos, F. H., & Lombardi, M. J. (2015), The biofuel connection: impact of US regulation on oil and food prices.
  6. Avalos, F., & Lombardi, M. J. (2015), The biofuel connection: impact of US regulation on oil and food prices (No. 487), Bank for International Settlements.
  7. Baffes, J. (2007), Oil spills on other commodities (No. 4333), The World Bank.
  8. Baláž, P., & Londarev, A. (2006), Ropa a jej postavenie v globalizácii svetového hospodárstva [Oil and its position in the process of globalization of the world economy]. Politická ekonomie, 2006(4), 508-528.
  9. Balcilar, M., Gupta, R., & Miller, S. M. (2015), Regime switching model of US crude oil and stock market prices: 1859 to 2013. Energy Economics, 49, 317-327.
  10. Balli, F., Naeem, M. A., Shahzad, S. J. H., & de Bruin, A. (2019), Spillover network of commodity uncertainties. Energy Economics, 81, 914-927.
  11. Baumeister, C., & Kilian, L. (2014), Do oil price increases cause higher food prices?. Economic Policy, 29(80), 691-747.
  12. Bildirici, M. E., & Turkmen, C. (2015), Nonlinear causality between oil and precious metals. Resources Policy, 46, 202-211.
  13. Busse, S., Brümmer, B., & Ihle, R. (2012), Price formation in the German biodiesel supply chain: A Markov‐switching vector error‐correction modeling approach. Agricultural Economics, 43(5), 545-560.
  14. Chen, B., Han, A., McClements, D. J., & Decker, E. A. (2010), Physical structures in soybean oil and their impact on lipid oxidation. Journal of agricultural and food chemistry, 58(22), 11993-11999.
  15. Cooke, B. (2009), Recent food prices movements: A time series analysis (Vol. 942), Intl Food Policy Res Inst.
  16. de Nicola, F., De Pace, P., & Hernandez, M. A. (2016), Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment. Energy Economics, 57, 28-41.
  17. Du, X., & McPhail, L. L. (2012), Inside the black box: the price linkage and transmission between energy and agricultural markets. The Energy Journal, 33(2), 171-194.
  18. Du, X., Cindy, L. Y., & Hayes, D. J. (2011), Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis. Energy Economics, 33(3), 497-503.
  19. Elleby, C., Domínguez, I. P., Adenauer, M., & Genovese, G. (2020), Impacts of the COVID-19 pandemic on the global agricultural markets. Environmental and Resource Economics, 76(4), 1067-1079.
  20. Esmaeili, A., & Shokoohi, Z. (2011), Assessing the effect of oil price on world food prices: Application of principal component analysis. Energy Policy, 39(2), 1022-1025.
  21. Fowowe, B. (2016), Do oil prices drive agricultural commodity prices? Evidence from South Africa. Energy, 104, 149-157.
  22. Gardebroek, C., & Hernandez, M. A. (2013), Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets. Energy economics, 40, 119-129.
  23. Gohin, A., & Chantret, F. (2010), The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages. Energy Policy, 38(1), 333-339.
  24. Gupta, R., Lahiani, A., Lee, C. C., & Lee, C. C. (2019), Asymmetric dynamics of insurance premium: the impacts of output and economic policy uncertainty. Empirical Economics, 57, 1959-1978.
  25. Hameed, A. A. A., & Arshad, F. M. (2008, December), The impact of petroleum prices on vegetable oils prices: evidence from cointegration tests. In Proceedings of the 3rd international borneo business conference (IBBC) (pp. 504-514),
  26. Hamilton, J. D. (2011), Nonlinearities and the macroeconomic effects of oil prices. Macroeconomic dynamics, 15(S3), 364-378.
  27. Hammoudeh, S., Lahiani, A., Nguyen, D. K., & Sousa, R. (2014), Asymmetric and nonlinear pass-through of energy prices to CO2 emission allowance prices (No. 05/2014), NIPE-Universidade do Minho.Ibrahim, M. H. (2015), Oil and food prices in Malaysia: a nonlinear ARDL analysis. Agricultural and Food Economics, 3(1), 1-14.
  28. Hung, N. T. (2021), Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak. Resources policy, 73, 102236.
  29. Ji, Q., & Fan, Y. (2012), How does oil price volatility affect non-energy commodity markets?. Applied Energy, 89(1), 273-280.
  30. Ji, Q., Geng, J. B., & Tiwari, A. K. (2018), Information spillovers and connectedness networks in the oil and gas markets. Energy Economics, 75, 71-84.
  31. Kaltalioglu, M. and Soytas, U. (2009) ''Price transmission between world food, agricultural raw material, and oil prices'', GBATA International Conference Proceedings, pp.596–603, Prague.
  32. Katrakilidis, C., & Trachanas, E. (2012), What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration. Economic Modelling, 29(4), 1064-1069.
  33. Katrakilidis, C., Sidiropoulos, M., & Tabakis, N. (2015), An empirical investigation of the price linkages between oil, biofuels and selected agricultural commodities. Procedia Economics and Finance, 33, 313-320.
  34. Kisswani, K. M., & Elian, M. I. (2017), Exploring the nexus between oil prices and sectoral stock prices: Nonlinear evidence from Kuwait stock exchange. Cogent Economics & Finance, 5(1), 1286061.
  35. Koirala, K. H., Mishra, A. K., D'Antoni, J. M., & Mehlhorn, J. E. (2015), Energy prices and agricultural commodity prices: Testing correlation using copulas method. Energy, 81, 430-436.
  36. Kumar, S. (2017), On the nonlinear relation between crude oil and gold. Resources Policy, 51, 219-224.
  37. Kumar, S., Tiwari, A. K., Raheem, I. D., & Hille, E. (2021), Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach. Resources Policy, 72, 102049.
  38. Lahiani, A., Hammoudeh, S., & Gupta, R. (2016), Linkages between financial sector CDS spreads and macroeconomic influence in a nonlinear setting. International Review of Economics & Finance, 43, 443-456.
  39. Liu, X. D., Pan, F., Yuan, L., & Chen, Y. W. (2019), The dependence structure between crude oil futures prices and Chinese agricultural commodity futures prices: Measurement based on Markov-switching GRG copula. Energy, 182, 999-1012.
  40. Lombardi, M. J., Osbat, C., & Schnatz, B. (2012), Global commodity cycles and linkages: a FAVAR approach. Empirical Economics, 43, 651-670.
  41. Luo, K., Qiu, Y. L., & Xing, B. (2022), Commercial consumers pay attention to marginal prices or average prices? Implications for energy conservation policies. Journal of Cleaner Production, 377, 134416.
  42. Mensi, W., Hammoudeh, S., Nguyen, D. K., & Yoon, S. M. (2014), Dynamic spillovers among major energy and cereal commodity prices. Energy Economics, 43, 225-243.
  43. Musser, W. N., Lambert, D. M., & Daberkow, S. G. (2006), Factors affecting direct and indirect energy use in US corn production.
  44. Myers, R. J., Johnson, S. R., Helmar, M., & Baumes, H. (2014), Long‐run and Short‐run Co‐movements in Energy Prices and the Prices of Agricultural Feedstocks for Biofuel. American Journal of Agricultural Economics, 96(4), 991-1008.
  45. Nazlioglu, S. (2011), World oil and agricultural commodity prices: Evidence from nonlinear causality. Energy policy, 39(5), 2935-2943.
  46. Nazlioglu, S., & Soytas, U. (2011), World oil prices and agricultural commodity prices: Evidence from an emerging market. Energy Economics, 33(3), 488-496.
  47. Nazlioglu, S., & Soytas, U. (2012), Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis. Energy Economics, 34(4), 1098-1104.
  48. Nguyen, D. K., & Walther, T. (2020), Modeling and forecasting commodity market volatility with long‐term economic and financial variables. Journal of Forecasting, 39(2), 126-142.
  49. Onour, I. (2021), Do Crude Oil Price Levels Or Its Volatility Matter In Global Food Commodity Price Change?. Manag Econ Res J, 7(3).
  50. Paris, A. (2018), On the link between oil and agricultural commodity prices: Do biofuels matter?. International Economics, 155, 48-60.
  51. Ramzan, M., Raza, S. A., Usman, M., Sharma, G. D., & Iqbal, H. A. (2022), Environmental cost of non-renewable energy and economic progress: do ICT and financial development mitigate some burden?. Journal of Cleaner Production, 333, 130066.
  52. Raza, N., Shahzad, S. J. H., Tiwari, A. K., & Shahbaz, M. (2016), Asymmetric impact of gold, oil prices and their volatilities on stock prices of emerging markets. Resources Policy, 49, 290-301.
  53. Sanusi, K. A., & Kapingura, F. M. (2022), On the relationship between oil price, exchange rate and stock market performance in South Africa: Further evidence from time-varying and regime switching approaches. Cogent Economics & Finance, 10(1), 2106629.
  54. Serletis, A., & Xu, L. (2019), Markov switching oil price uncertainty. Oxford Bulletin of Economics and Statistics, 81(5), 1045-1064.
  55. Serra, T., Zilberman, D., Gil, J. M., & Goodwin, B. K. (2010), Price transmission in the US ethanol market. Handbook of bioenergy economics and policy, 55-72.
  56. Shin, D. G., Yoo, C. S., Yi, S. H., Bae, J. H., Kim, Y. J., Park, J. S., & Hong, G. R. (2006), Prediction of paroxysmal atrial fibrillation using nonlinear analysis of the RR interval dynamics before the spontaneous onset of atrial fibrillation. Circulation Journal, 70(1), 94-99.
  57. Shin, H. S., Thak, M. J., & Kim, H. J. (2011), Nonlinear model predictive control for multiple UAVs formation using passive sensing. International Journal Aeronautical and Space Sciences, 12(1), 16-23.
  58. Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014), Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. Festschrift in honor of Peter Schmidt: Econometric methods and applications, 281-314.
  59. Wang, Y., Wu, C., & Yang, L. (2014), Oil price shocks and agricultural commodity prices. Energy Economics, 44, 22-35.
  60. Yip, P. S., Brooks, R., Do, H. X., & Nguyen, D. K. (2020), Dynamic volatility spillover effects between oil and agricultural products. International Review of Financial Analysis, 69, 101465.
  61. Yurtkuran, S. (2021), The effect of agriculture, renewable energy production, and globalization on CO2 emissions in Turkey: A bootstrap ARDL approach. Renewable Energy, 171, 1236-1245.
  62. Zhang, C., & Qu, X. (2015), The effect of global oil price shocks on China's agricultural commodities. Energy Economics, 51, 354-364.
  63. Zhang, Q., & Reed, M. R. (2008), Examining the Impact of the World Crude Oil Price on China's Agricultural Commodity Prices: The Case of Corn, Soybean, and Pork. In 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas (No. 6797), Southern Agricultural Economics Association.
  64. Zhang, Z., Lohr, L., Escalante, C., & Wetzstein, M. (2010), Food versus fuel: What do prices tell us?. Energy policy, 38(1), 445-451.
  65. Zmami, M., & Ben-Salha, O. (2019), Does oil price drive world food prices? Evidence from linear and nonlinear ARDL modeling. Economies, 7(1), 12.