Journals / Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2021 / Cilt: 30 - Sayı: 1

Asymmetric Impact of Oil Price on Food Prices: The Case of Turkey

PETROL FİYATININ GIDA FİYATLARI ÜZERİNE ASİMETRİK ETKİSİ: TÜRKİYE ÖRNEĞİ

Pages
11–21
Publication Date
2021-04-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the analysis, while a positive and significant relationship is determined between oil price increases and food price in the long term, there is no long-term relationship between oil price decreases and food price.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Increasing trend in food prices since 2000s, it causes the widespread academic debate on this issue and affects the governments on socio-economic implications.
📊
Key Findings & Data:Numerous studies have been carried out to determine the determinants of the change in food price and policy recommendations for food price increase.
💡
Conclusion & Impact:As a result of the analysis, while a positive and significant relationship is determined between oil price increases and food price in the long term, there is no long-term relationship between oil price decreases and food price.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Oil Prices · Food Prices · NARDL

Abstract

Increasing trend in food prices since 2000s, it causes the widespread academic debate on this issue and affects the governments on socio-economic implications. Numerous studies have been carried out to determine the determinants of the change in food price and policy recommendations for food price increase. In the same years, with the simultaneous increase of the crude oil price, it is important to examine the oil price as an explanation. The current study is part of this ongoing research topic. Therefore, the aim of this is to examine the impact on food prices of oil prices in Turkey. In order to examine this impact, Nonlinear Autoregressive Distributed Lag (NARDL) model is used to analyze the nonlinear relationships between variables. As a result of the analysis, while a positive and significant relationship is determined between oil price increases and food price in the long term, there is no long-term relationship between oil price decreases and food price.

Özet

2000'li yıllar itibariyle yaşanan gıda fiyatlarında artış eğilimi, bu konudaki akademik tartışmaların yaygınlaşmasına neden olmakla birlikte, hükümetleri sosyo-ekonomik çıkarımlar konusunda etkilemektedir. Gıda fiyat artışına yönelik politika önerileri ile gıda fiyatındaki değişimin belirleyicilerinin tespit edilmesi için çok sayıda çalışma yapılmıştır. Aynı yıllarda ham petrol fiyatının eşzamanlı artışıyla, petrol fiyatının bir açıklama olarak incelenmesi söz konusudur. Mevcut çalışma, devam etmekte olan bu araştırma konusunun bir parçasını oluşturmaktadır. Dolayısıyla, makalenin amacı Türkiye'de petrol fiyatının gıda fiyatları üzerindeki etkilerini doğrusal olmayan otoregresif dağıtılmış gecikmeler (NARDL) modeli kullanarak ampirik olarak incelenmesidir. Analiz sonucunda, uzun vadede petrol fiyatı artışları ile gıda fiyatı arasında pozitif ve anlamlı bir ilişki tespit edilirken, petrol fiyatı azalışları ile gıda fiyatı arasında uzun dönemli ilişki bulunmamıştır.

🔖

Cite This Article

ALGAN, N., İŞCAN, E., SERİN, D. (2021). Asymmetric Impact of Oil Price on Food Prices: The Case of Turkey. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 30 - Sayı: 1, 11–21. https://ajindex.com/articles/136862

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (6)

  1. Baffes, J. & Dennis, A. (2015). Trade Policy and Food Security: Improving Access to Food in Developing Countries in the Wake of High World Prices. Directions in Development. In I. Gillson & F. Amir (Eds.), Trade Policy and Food Security: Improving Access to Food in Developing Countries in the Wake of High World Prices. Directions in Development. (13-36).
  2. Washington, DC: World Bank. Brown, RL, Durbin, J., & Evans, JM (1975). Techniques for Testing the Constancy of Regression Relationships Over Time. Journal of the Royal Statistical Society: Series B (Methodological), 37(2), 149-163. doi:https://doi.org/10.1111/j.2517-6161.1975.tb01532.x
  3. Chen, ST, Kuo, HI, & Chen, CC (2010). Modeling the relationship between the oil price and global food prices. Applied Energy, 87(8), 2517-2525. doi:https://doi.org/10.1016/j.apenergy.2010.02.020
  4. Coronado, S., Rojas, O., Romero-Meza, R., Serletis, A. & Chiu, LV (2018). Crude Oil and Biofuel Agricultural Commodity Prices. In F. Jawadi (Ed.), Uncertainty, Expectations and Asset Price Dynamics: Essays in Honor of Georges Prat (pp. 107-123). Cham: Springer International Publishing. Du, X., Yu, CL, & Hayes, DJ (2011). Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis. Energy Economics, 33(3), 497-503. doi:https://doi.org/10.1016/j.eneco.2010.12.015
  5. 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. doi:https://doi.org/10.1016/j.enpol.2010.11.004 Food and Agriculture Organization of the United Nations. (2008). High-Level Conference on World Food Security: The Challenges of Climate Change and Bioenergy. Retrieved from http://www.fao.org/fileadmin/user_upload/foodclimate/HLCdocs/ declaration-E.pdf Hamilton, JD (1983). Oil and the Macroeconomy since World War II. Journal of Political Economy, 91(2), 228- 248. doi:10.1086/261140. Hamilton, JD (1985). Historical causes of postwar oil shocks and recessions. The Energy Journal, 6(1). doi:10.5547/ISSN0195-6574-EJ-Vol6-No1-9 Hamilton, JD (1988). Are the macroeconomic effects of oil-price changes symmetric?: A comment. CarnegieRochester Conference Series on Public Policy, 28, 369-378. doi:https://doi.org/10.1016/0167- 2231(88)90031-0.
  6. Hamilton, JD (1996). This is what happened to the oil price-macroeconomy relationship. Journal of Monetary Economics, 38(2), 215-220. doi:https://doi.org/10.1016/S0304-3932(96)01282-2