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Asymmetric relationship between global and national factors and domestic food prices: evidence from Turkey with novel nonlinear approaches

Author

Listed:
  • Mustafa Tevfik Kartal

    (Borsa Istanbul Strategic Planning, Financial Reporting, and Investor Relations Directorate)

  • Özer Depren

    (Yapı Kredi Bank Customer Experience Research Lab.)

Abstract

This study investigates the asymmetric relationship between global and national factors and domestic food prices in Turkey, considering the recent rapid and continuous increase in domestic food prices. In this context, six global and three national explanatory variables were included, and monthly data for the period from January 2004 to June 2021 were used. In addition, novel nonlinear time-series econometric approaches, such as wavelet coherence, Granger causality in quantiles, and quantile-on-quantile regression, were applied for examination at different times, frequencies, and quantiles. Moreover, the Toda-Yamamoto (TY) causality test and quantile regression (QR) approach were used for robustness checks. The empirical results revealed that (i) there is a significant relationship between domestic food prices and explanatory variables at different times and frequencies; (ii) a causal relationship exists in most quantiles, excluding the lowest quantile, some middle quantiles, and the highest quantile for some variables; (iii) the power of the effect of the explanatory variables on domestic food prices varies according to the quantiles; and (iv) the results were validated by the TY causality test and QR, which show that the results were robust. Overall, the empirical results reveal that global and national factors have an asymmetric relationship with domestic food prices, highlighting the effects of fluctuations in global and national variables on domestic food prices. Thus, the results imply that Turkish policymakers should consider the asymmetric effects of global and national factors on domestic food prices at different times, frequencies, and quantiles.

Suggested Citation

  • Mustafa Tevfik Kartal & Özer Depren, 2023. "Asymmetric relationship between global and national factors and domestic food prices: evidence from Turkey with novel nonlinear approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    • Handle: RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-022-00407-9
    DOI: 10.1186/s40854-022-00407-9
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    References listed on IDEAS

    as
    1. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.
    2. Wen, Jun & Khalid, Samia & Mahmood, Hamid & Zakaria, Muhammad, 2021. "Symmetric and asymmetric impact of economic policy uncertainty on food prices in China: A new evidence," Resources Policy, Elsevier, vol. 74(C).
    3. Kalle Hirvonen, 2016. "Temperature Changes, Household Consumption, and Internal Migration: Evidence from Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1230-1249.
    4. Dercon, Stefan, 2004. "Growth and shocks: evidence from rural Ethiopia," Journal of Development Economics, Elsevier, vol. 74(2), pages 309-329, August.
    5. Dervis Kirikkaleli, 2021. "Analyses of wavelet coherence: financial risk and economic risk in China," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 13(5), pages 587-599, February.
    6. Kou, Gang & Yüksel, Serhat & Dinçer, Hasan, 2022. "Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects," Applied Energy, Elsevier, vol. 311(C).
    7. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    8. Anthony Louis D'Agostino & Wolfram Schlenker, 2016. "Recent weather fluctuations and agricultural yields: implications for climate change," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 159-171, November.
    9. Wolfram Schlenker & Michael J. Roberts, 2006. "Nonlinear Effects of Weather on Corn Yields ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 391-398.
    10. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    11. Mitchell, Donald, 2008. "A note on rising food prices," Policy Research Working Paper Series 4682, The World Bank.
    12. Kara, Engin, 2017. "Does US monetary policy respond to oil and food prices?," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 118-126.
    13. Salisu, Afees A. & Isah, Kazeem O. & Oyewole, Oluwatomisin J. & Akanni, Lateef O., 2017. "Modelling oil price-inflation nexus: The role of asymmetries," Energy, Elsevier, vol. 125(C), pages 97-106.
    14. Özer Depren & Mustafa Tevfik Kartal & Serpil Kılıç Depren, 2021. "Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-20, December.
    15. Bente Castro Campos, 2020. "Are there asymmetric relations between real interest rates and agricultural commodity prices? Testing for threshold effects of US real interest rates and adjusted wheat, corn, and soybean prices," Empirical Economics, Springer, vol. 59(1), pages 371-394, July.
    16. Hasan Murat Ertuğrul & Ünal Seven, 2023. "Dynamic spillover analysis of international and Turkish food prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1918-1928, April.
    17. Hasan Murat Ertuğrul, 2021. "The local currency oil price and food price relationship for Turkey: a dynamic correlation and time-frequency dependency analysis," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 14(3), pages 233-248.
    18. 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.
    19. Zhang, Huanhuan & Kou, Gang & Peng, Yi, 2019. "Soft consensus cost models for group decision making and economic interpretations," European Journal of Operational Research, Elsevier, vol. 277(3), pages 964-980.
    20. Baffes, John & Dennis, Allen, 2013. "Long-term drivers of food prices," Policy Research Working Paper Series 6455, The World Bank.
    21. Dervis Kirikkaleli & Ibrahim Darbaz, 2021. "The Causal Linkage between Energy Price and Food Price," Energies, MDPI, vol. 14(14), pages 1-13, July.
    22. Victor Troster, 2018. "Testing for Granger-causality in quantiles," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 850-866, September.
    23. Pal, Debdatta & Mitra, Subrata K., 2019. "Correlation dynamics of crude oil with agricultural commodities: A comparison between energy and food crops," Economic Modelling, Elsevier, vol. 82(C), pages 453-466.
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    Cited by:

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    2. Kübra Akyol Özcan, 2023. "Food Price Bubbles: Food Price Indices of Turkey, the FAO, the OECD, and the IMF," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    3. Ugur Korkut Pata & Mustafa Tevfik Kartal & Zahoor Ahmed & Avik Sinha, 2025. "Relationship between green bonds and carbon neutrality: evidence from top five emitting countries’ sectoral CO2 emissions," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    4. Foued Hamouda & Imran Yousaf & Muhammad Abubakr Naeem, 2024. "Exploring the Dynamics of Equity and Cryptocurrency Markets: Fresh Evidence from the Russia–Ukraine War," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3555-3576, December.

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    More about this item

    Keywords

    Domestic food prices; Global factors; National factors; Nonlinear approaches; Turkey;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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