Modeling the Inflation of Türkiye Considering the Impact of Maritime Transport Costs

Authors

DOI:

https://doi.org/10.29329/actanatsci.2022.352.07

Keywords:

Granger causality, Inflation, Exchange rate, Container freight rate, Dry bulk freight rate

Abstract

We modeled Turkish inflation using causality analysis by considering the impact of maritime transport costs. We also supported the results with impulse and response, and variance decomposition analyses. The results show that the exchange rate, commodity price, dry bulk freight rate and container freight rate have significant effects on inflation, and their shocks cannot be eliminated from the system for a long time. The most important factor affecting inflation is its historical value and the effect of exchange rates is also quite high. The container freight rate has a greater impact on inflation than the dry bulk freight rate. The forecast made using the vector autoregressive (VAR) model showed that inflation will continue to increase, but the rate of increase will slow down. It is important to implement appropriate policies to break the effect of expectations on inflation due to the new economic policies. Additionally, it is important to develop stabilizing tools to protect freight rates from the permanent effects of unexpected shocks.

References

Akhtaruzzaman, M. (2019). International Capital Flows and the Lucas Paradox: Patterns, Determinants, and Debates. Springer. https://doi.org/10.1007/978-981-13-9069-2

Aloui, C., Hkiri, B., Hammoudeh, S., & Shahbaz, M. (2018). A multiple and partial wavelet analysis of the oil price, inflation, exchange rate, and economic growth nexus in Saudi Arabia. Emerging Markets Finance and Trade, 54(4), 935-956. https://doi.org/10.1080/1540496X.2017.1423469

Arunmozhi, M., Kumar, R. K., & Srinivasa, B. A. (2021). Impact of COVID -19 on Global Supply Chain Management. In Sakthivel, A. R., Kandasamy, J., & Davim, J. P. (Eds.), Managing supply chain risk and disruptions: Post COVID-19 (pp. 1-18). Springer.

Bachmeier, L. J., & Cha, I. (2011). Why don’t oil shocks cause inflation? Evidence from disaggregate inflation data. Journal of Money, Credit and Banking, 43(6), 1165-1183. https://doi.org/10.2307/20870110

Bairoch, P. (2006). The economic development of the Third World since 1900. Routledge.

Balcilar, M., Gupta, R., & Jooste, C. (2017). Long memory, economic policy uncertainty and forecasting US inflation: a Bayesian VARFIMA approach. Applied Economics, 49(11), 1047-1054. https://doi.org/10.1080/00036846.2016.1210777

Berument, H. (2003). Public sector pricing behavior and inflation risk premium in Turkey. Eastern European Economics, 41(1), 68-78. https://doi.org/10.1080/00128775.2003.11041041

Bloomberg. (2022a). Fed Hikes 75 Basis Points Second Time, Signals Third Is Possible. Retrieved on September 2, 2022, from https://www.bloomberg.com/news/articles/2022-07-27/fed-raises-rates-by-75-basis-points-to-double-down-on-inflation

Bloomberg. (2022b). Bloomberg Data Platform. BDI, CCFI, S&P GSCI. Retrieved on August 22, 2022, from https://www.bloomberg.com/professional/solution/bloomberg-terminal/

Brooks, C. (2014). Introductory Econometrics for Finance (3rd ed.). Cambridge University Press.

Carriere-Swallow, M. Y., Deb, M. P., Furceri, D., Jimenez, D., & Ostry, M. J. D. (2022). Shipping costs and inflation (WP/22/61). International Monetary Fund.

CBRT. (2022a). Consumer Price Index. Retrieved on August 27, 2022, from https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket/#collapse_14

CBRT. (2022b). Nominal Exchange Rate. Retrieved on August 27, 2022, from https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket/#collapse_2

Charef, F., & Ayachi, F. (2018). Non-linear causality between exchange rates, inflation, interest rate differential and terms of trade in Tunisia. African Journal of Economic and Management Studies, 9(3), 274-289. https://doi.org/10.1108/AJEMS-02-2017-0034

Chen, Y., & Yang, S. (2021). Time-varying effect of international iron ore price on China’s inflation: A complete price chain with TVP-SVAR-SV model. Resources Policy, 73(102200), 1-11. https://doi.org/10.1016/j.resourpol.2021.102200

Chiou-Wei, S. Z., Chen, C. F., & Zhu, Z. (2008). Economic growth and energy consumption revisited—Evidence from linear and nonlinear Granger causality. Energy Economics, 30(6), 3063-3076. https://doi.org/10.1016/j.eneco.2008.02.002

Ciccarelli, M., & García, J. A. (2021). Expectation spillovers and the return of inflation. Economics Letters, 209, 110119. https://doi.org/10.1016/j.econlet.2021.110119

Comley, P. (2015). Inflation Matters: Inflationary Wave Theory, its impact on inflation past and present ... and the deflation yet to come.

Cross, R. (1995). The Natural Rate of Unemployment: Reflections on 25 Years of the Hypothesis. Cambridge.

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431. https://doi.org/10.2307/2286348

Dogan, I., Orun, E., Aydın, B., & Afsal, M. S. (2020). Non-parametric analysis of the relationship between inflation and interest rate in the context of Fisher effect for Turkish economy. International Review of Applied Economics, 34(6), 758-768. https://doi.org/10.1080/02692171.2020.1782852

Egilsson, J. H. (2020). How raising interest rates can cause inflation and currency depreciation. Journal of Applied Economics, 23(1), 450-468. https://doi.org/10.1080/15140326.2020.1795526

FAO. (2022). Addressing food security challenges faced by Near East and North Africa Region Due to the Ukraine Crisis. Cairo.

Ghosh, T., Sahu, S., & Chattopadhyay, S. (2021). Inflation expectations of households in India: Role of oil prices, economic policy uncertainty, and spillover of global financial uncertainty. Bulletin of Economic Research, 73(2), 230-251. https://doi.org/10.1111/boer.12244

Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438. https://doi.org/10.2307/1912791

Guo, F. (2013). What causes China’s high inflation? A threshold structural vector autoregression analysis. China & World Economy, 21(6), 100-120. https://doi.org/10.1111/j.1749-124X.2013.12048.x

Hult, T., Closs, D., & Frayer, D. (2014). Global supply chain management: Leveraging processes, measurements, and tools for strategic corporate advantage. McGraw-Hill Education.

Jansson, J., & Shneerson, D. (2012). Liner shipping economics. Springer Science & Business Media.

Khan, M. K., Teng, J. Z., & Khan, M. I. (2019). Cointegration between macroeconomic factors and the exchange rate USD/CNY. Financial Innovation, 5, 5. https://doi.org/10.1186/s40854-018-0117-x

Kirchgässner, G., & Wolters, J. (2007). Introduction to Modern Time Series Analysis. Springer.

Kočenda, E., & Černý, A. (2015). Elements of Time Series Econometrics: An Applied Approach. Karolinum Press.

Kpodar, K., & Liu, B. (2022). The distributional implications of the impact of fuel price increases on inflation. Energy Economics, 108, 105909. https://doi.org/10.1016/j.eneco.2022.105909

Kütting, G. (2004). Globalization and the Environment: Greening Global Political Economy. State University of New York Press.

Lipsey, R., & Chrystal, A. (2020). Economics (14th edition). Oxford University Press.

Matthews, K., & Ong, K. (2022). Is inflation caused by deteriorating inflation expectations or excessive monetary growth?. Economic Affairs, 42(2), 259-274. https://doi.org/10.1111/ecaf.12518

Metin, K. (1998). The relationship between inflation and the budget deficit in Turkey. Journal of Business & Economic Statistics, 16(4), 412-422. https://doi.org/10.2307/1392610

Okoye, L. U., Olokoyo, F. O., Ezeji, F. N., Okoh, J. I., & Evbuomwan, G. O. (2019). Determinants of behavior of inflation rate in Nigeria. Investment Management & Financial Innovations, 16(2), 25-36. https://doi.org/10.21511/imfi.16(2).2019.03

Osorio, C., & Unsal, D. F. (2013). Inflation dynamics in Asia: Causes, changes, and spillovers from China. Journal of Asian Economics, 24, 26-40. https://doi.org/10.1016/j.asieco.2012.10.007

Özçelik, O. (2022). Effects of economic and political uncertainties on Turkey's payment term preferences in foreign trade: Testing with the non-linear asymmetric ESTAR cointegration test. Business & Management Studies: An International Journal, 10(1), 380-398. https://doi.org/10.15295/bmij.v10i1.2023

Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.2307/2336182

Press, K. (2006). A Life Cycle for Clusters?: The Dynamics of Agglomeration, Change, and Adaption. Physica-Verlag.

Reis, V., & Macario, R. (2019). Intermodal Freight Transportation. Elsevier.

Samal, A., Ummalla, M., & Goyari, P. (2022). The impact of macroeconomic factors on food price inflation: An evidence from India. Future Business Journal, 8(1), 1-14. https://doi.org/10.1186/s43093-022-00127-7

Şen, H., Kaya, A., Kaptan, S., & Cömert, M. (2020). Interest rates, inflation, and exchange rates in fragile EMEs: A fresh look at the long-run interrelationships. The Journal of International Trade & Economic Development, 29(3), 289-318. https://doi.org/10.1080/09638199.2019.1663441

Siebert, H. (2007). Global View on the World Economy: A Global Analysis. Routledge.

SPGLOBAL. (2022). S&P Dow Jones Indices Announces 2022 S&P GSCI Weights. Retrieved on August 30, 2022, from https://www.spglobal.com/spdji/en/documents/indexnews/announcements/20211111-1445034/1445034_spgsci2022cpwindexannouncement.pdf

Stockhammar, P., & Österholm, P. (2018). Do inflation expectations granger cause inflation? Economia Politica, 35, 403–431. https://doi.org/10.1007/s40888-018-0111-9

Us, V. (2004). Inflation dynamics and monetary policy strategy: some prospects for the Turkish economy. Journal of Policy Modeling, 26(8-9), 1003-1013. https://doi.org/10.1016/j.jpolmod.2004.07.001

Van, D. D. (2020). Money supply and inflation impact on economic growth. Journal of Financial Economic Policy. 12(1), 121-136. https://doi.org/10.1108/JFEP-10-2018-0152

Yu, L., Li, J., Tang, L., & Wang, S. (2015). Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach. Energy Economics, 51, 300-311. https://doi.org/10.1016/j.eneco.2015.07.005

Zemmrich, L., & Hofmann, E. (2022). Managing volatility in logistics markets. Cuvillier Verlag.

Downloads

Published

2022-12-05

How to Cite

Açık, A., & İnce, M. R. (2022). Modeling the Inflation of Türkiye Considering the Impact of Maritime Transport Costs. Acta Natura Et Scientia, 3(2), 148–162. https://doi.org/10.29329/actanatsci.2022.352.07

Issue

Section

Original Research Papers