İklim Politikası Belirsizliğinin ve Jeopolitik Belirsizliğin BIST Gıda ve İçecek Endeksi Üzerine Etkisi

Yıl 2024, Cilt: 9 Sayı: 2, 198 - 209

Nesrin Özkan

Öz

Bu çalışmada BIST Gıda İçecek Endeksi ile İklim Politikası Belirsizlik Endeksi (CPU) ve Jeopolitik Risk Endeksleri (GPR ve GPR Türkiye) arasındaki nedensellik ilişkisinin belirlenmesi amaçlanmıştır. Analizlerde, Şubat 1997 ile Aralık 2023 arası dönemi kapsayan aylık veriler kullanılmıştır. Genişletilmiş Dickey-Fuller ve Phillips-Perron birim kök testi sonuçları, CPU, GPR ve GPR Türkiye endekslerinin I (0) seviyede durağan olduğunu ve BIST Gıda ve İçecek endeksinin I (1) birinci farkta durağanlaştığını göstermiştir. Dolayısıyla farklı seviyelerde durağan zaman serilerini modellerken, Toda-Yamamoto nedensellik testinden yararlanılmıştır. Ampirik bulgular, iklim politikası belirsizliği ile BIST Gıda ve İçecek endeksi arasında tek yönlü nedensellik ilişkisi bulunduğunu ortaya koymuştur. Ayrıca, Jeopolitik Risk Endeksleri ile BIST Gıda ve İçecek endeksi arasındaki ilişki de benzer şekilde elde edilmiştir. Sonuç olarak, CPU, GPR ve GPR Türkiye endeksleri BIST Gıda ve İçecek endeksinin Granger nedeni olarak tespit edilmiştir.

Anahtar Kelimeler

CPU, GPR, XGIDA, nedensellik

The Effect of Climate Policy Uncertainty and Geopolitic Uncertainty on BIST Food and Beverage Index

Öz

This study aims to determine the causality relationship between the BIST Food and Beverage Index, the Climate Policy Uncertainty Index (CPU) and Geopolitical Risk Indexes (GPR and GPR Turkey). In the analysis, monthly data are used covering the period of February 1997 and December 2023. The results of Augmented Dickey-Fuller and Phillips-Perron unit root tests showed that the BIST Food and Beverage Index series is stationary at the first difference I(1), whereas the CPU, GPR, and GPR Turkey Indexes’ series are stationary at the level I(0). Therefore, the Toda-Yamamoto causality test was employed for the time series stationary at different levels. Empirical findings revealed one-way causality between climate policy uncertainty and BIST Food and Beverage Index. Moreover, the relationship between the Geopolitical Risk Indices and the BIST Food and Beverage index is obtained likewise. In conclusion, CPU, GPR and GPR Turkey indices are found to be the Granger cause of BIST Food and Beverage index.

Anahtar Kelimeler

CPU, GPR, XGIDA, causality.

Kaynakça

• Baker, S. R., Bloom, N., & Davis, S.J. (2016). Measuring Economic Policy Uncertainty. Quarterly Journal of Economics, 131 (4), 1593–1636.
• Baur, D. G., & Smales, L. A. (2020). Hedging Geopolitical Risk with Precious Metals. Journal of Banking & Finance, 117, 105823.
• Bouoiyour, J., Selmi, R., Hammoudeh, S., & Wohar. M.E. (2019). What Are the Categories of Geopolitical Risks That Could Drive Oil Prices Higher? Acts or Threats? Energy Economics 84, 104523
• Caldara, D., & Iacoviello, M. (2022). Measuring Geopolitical Risk. American Economic Review, 112(4), 1194-1225.
• Cunado, J., Gupta, R., Keung, C., Lau, M. & Sheng, X. (2020). Time-Varying Impact of Geopolitical Risks on Oil Prices. Defence and Peace Economics 31, 692–706.
• Das, D., Kannadhasan, M., & Bhowmik, P. (2019). Geopolitical Risk and Precious Metals. Journal of Economic Research, 24(1), 49-66.
• Gavriilidis, K. (2021). Measuring Climate Policy Uncertainty. SSRN 3847388.
• GFSI. (2022). Global Food Safety Initiative. https://impact.economist.com/sustainability/project/food-security index/reports/Economist_Impact_GFSI_2022_Global_Report_Sep_2022.pdf
• Granger, C.& W. John. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37: 424
• Guesmi, K., Makrychoriti, P., & Spyrou, S. (2023). The Relationship Between Climate Risk, Climate Policy Uncertainty, and CO2 Emissions: Empirical Evidence from the US. Journal of Economic Behavior & Organization, 212, 610-628.
• IPCC (2022). Summary for Policymakers: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group 2 to the Sixth Assessment of the Intergovernmental Panel on Climate Change: Cambridge University Press.
• Micallef, J., Grima, S., Spiteri, J., & Rupeika-Apoga, R. (2023). Assessing the Causality Relationship Between the Geopolitical Risk Index and The Agricultural Commodity Markets. Risks, 11(5), 84.
• Polat, O., Ertuğrul, H. M., Sakarya, B., & Akgül, A. (2024). TVP-VAR Based Time and Frequency Domain Food & Energy Commodities Connectedness an Analysis for Financial/Geopolitical Turmoil Episodes. Applied Energy, 357, 122487.
• Qin, Y., Kairong H., Jinyu C. & Zhang, Z. (2020). Asymmetric Effects of Geopolitical Risks on Energy Returns and Volatility under Different Market Conditions. Energy Economics 90: 104851.
• Saiz, A. & Simonsohn, U. (2013). Proxying for Unobservable Variables with Internet Document-Frequency. Journal of the European Economic Association 11 (1): 137–65.
• Su, C., Khan, K. Umar, M. & Zhang. W. (2021). Does Renewable Energy Redefine Geopolitical Risks? Energy Policy 158: 112566.
• Su, F., Liu, Y., Chen, S. J., & Fahad, S. (2023). Towards The Impact of Economic Policy Uncertainty On Food Security: Introducing A Comprehensive Heterogeneous Framework for Assessment. Journal of Cleaner Production, 386, 135792.
• Tiwari, A. K., Boachie, M. K., Suleman, M. T., & Gupta, R. (2021). Structure Dependence Between Oil and Agricultural Commodities Returns: The Role of Geopolitical Risks. Energy, 219, 119584.
• Toda, H. Y., & Yamamoto, T., (1995), Statistical Inference in Vector Autoregression with Possibly Integrated Processes, Journal of Econometrics, 66: 225-250.
• TUİK.2024. Available from: https://data.tuik.gov.tr/Bulten/Index?p=49660
• Wang, K. H., Kan, J. M., Qiu, L., & Xu, S. (2023). Climate Policy Uncertainty, Oil Price and Agricultural Commodity: From Quantile and Time Perspective. Economic Analysis and Policy, 78, 256-272.
• Wen, J., Khalid, S., Mahmood, H., & Zakaria, M. (2021). Symmetric and Asymmetric Impact of Economic Policy Uncertainty On Food Prices in China: A New Evidence. Resources Policy, 74, 102247.
• Yilanci, V. & Kilci, E.N. (2021). The Role of Economic Policy Uncertainty and Geopolitical Risk in Predicting Prices of Precious Metals: Evidence from a Time-Varying Bootstrap Causality Test. Resources Policy 72: 102039.
• Yousfi, M., & Bouzgarrou, H. (2024). Geopolitical Risk, Economic Policy Uncertainty, and Dynamic Connectedness Between Clean Energy, Conventional Energy, and Food Markets. Environmental Science and Pollution Research, 31(3), 4925-4945.