Acta Nat. Sci.   |  e-ISSN: 2718-0638

Original article | Acta Natura et Scientia 2022, Vol. 3(2) 148-162

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

Abdullah Açık & Muhammet Rıdvan Ince

pp. 148 - 162   |  DOI: https://doi.org/10.29329/actanatsci.2022.352.07   |  Manu. Number: MANU-2210-15-0002.R1

Published online: December 05, 2022  |   Number of Views: 119  |  Number of Download: 413


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.

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


How to Cite this Article?

APA 6th edition
Acik, A. & Ince, M.R. (2022). Modeling the Inflation of Türkiye Considering the Impact of Maritime Transport Costs . Acta Natura et Scientia, 3(2), 148-162. doi: 10.29329/actanatsci.2022.352.07

Harvard
Acik, A. and Ince, M. (2022). Modeling the Inflation of Türkiye Considering the Impact of Maritime Transport Costs . Acta Natura et Scientia, 3(2), pp. 148-162.

Chicago 16th edition
Acik, Abdullah and Muhammet Ridvan Ince (2022). "Modeling the Inflation of Türkiye Considering the Impact of Maritime Transport Costs ". Acta Natura et Scientia 3 (2):148-162. doi:10.29329/actanatsci.2022.352.07.

References
  1. 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 [Google Scholar] [Crossref] 
  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 [Google Scholar] [Crossref] 
  3. 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. [Google Scholar]
  4. 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 [Google Scholar] [Crossref] 
  5. Bairoch, P. (2006). The economic development of the Third World since 1900. Routledge. [Google Scholar]
  6. 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 [Google Scholar] [Crossref] 
  7. 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 [Google Scholar] [Crossref] 
  8. 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 [Google Scholar]
  9. Bloomberg. (2022b). Bloomberg Data Platform. BDI, CCFI, S&P GSCI. Retrieved on August 22, 2022, from https://www.bloomberg.com/professional/solution/bloomberg-terminal/ [Google Scholar]
  10. Brooks, C. (2014). Introductory Econometrics for Finance (3rd ed.). Cambridge University Press. [Google Scholar]
  11. 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. [Google Scholar]
  12. CBRT. (2022a). Consumer Price Index. Retrieved on August 27, 2022, from https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket/#collapse_14 [Google Scholar]
  13. CBRT. (2022b). Nominal Exchange Rate. Retrieved on August 27, 2022, from https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket/#collapse_2 [Google Scholar]
  14. 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 [Google Scholar] [Crossref] 
  15. 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 [Google Scholar] [Crossref] 
  16. 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 [Google Scholar] [Crossref] 
  17. 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 [Google Scholar] [Crossref] 
  18. Comley, P. (2015). Inflation Matters: Inflationary Wave Theory, its impact on inflation past and present ... and the deflation yet to come. [Google Scholar]
  19. Cross, R. (1995). The Natural Rate of Unemployment: Reflections on 25 Years of the Hypothesis. Cambridge. [Google Scholar]
  20. 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 [Google Scholar] [Crossref] 
  21. 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 [Google Scholar] [Crossref] 
  22. 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 [Google Scholar] [Crossref] 
  23. FAO. (2022). Addressing food security challenges faced by Near East and North Africa Region Due to the Ukraine Crisis. Cairo. [Google Scholar]
  24. 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 [Google Scholar] [Crossref] 
  25. 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 [Google Scholar] [Crossref] 
  26. 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 [Google Scholar] [Crossref] 
  27. Hult, T., Closs, D., & Frayer, D. (2014). Global supply chain management: Leveraging processes, measurements, and tools for strategic corporate advantage. McGraw-Hill Education. [Google Scholar]
  28. Jansson, J., & Shneerson, D. (2012). Liner shipping economics. Springer Science & Business Media. [Google Scholar]
  29. 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 [Google Scholar] [Crossref] 
  30. Kirchgässner, G., & Wolters, J. (2007). Introduction to Modern Time Series Analysis. Springer. [Google Scholar]
  31. Kočenda, E., & Černý, A. (2015). Elements of Time Series Econometrics: An Applied Approach. Karolinum Press. [Google Scholar]
  32. 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 [Google Scholar] [Crossref] 
  33. Kütting, G. (2004). Globalization and the Environment: Greening Global Political Economy. State University of New York Press. [Google Scholar]
  34. Lipsey, R., & Chrystal, A. (2020). Economics (14th edition). Oxford University Press. [Google Scholar]
  35. 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 [Google Scholar] [Crossref] 
  36. 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 [Google Scholar] [Crossref] 
  37. 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 [Google Scholar] [Crossref] 
  38. 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 [Google Scholar] [Crossref] 
  39. 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 [Google Scholar] [Crossref] 
  40. 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 [Google Scholar] [Crossref] 
  41. Press, K. (2006). A Life Cycle for Clusters?: The Dynamics of Agglomeration, Change, and Adaption. Physica-Verlag. [Google Scholar]
  42. Reis, V., & Macario, R. (2019). Intermodal Freight Transportation. Elsevier. [Google Scholar]
  43. 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 [Google Scholar] [Crossref] 
  44. 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 [Google Scholar] [Crossref] 
  45. Siebert, H. (2007). Global View on the World Economy: A Global Analysis. Routledge. [Google Scholar]
  46. 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 [Google Scholar]
  47. 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 [Google Scholar] [Crossref] 
  48. 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 [Google Scholar] [Crossref] 
  49. 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 [Google Scholar] [Crossref] 
  50. 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 [Google Scholar] [Crossref] 
  51. Zemmrich, L., & Hofmann, E. (2022). Managing volatility in logistics markets. Cuvillier Verlag. [Google Scholar]