Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf

Nowadays, maritime trade plays an important role in the economy of some countries, including Iran. Especially, some of the ports in Iran that are located on the Persian Gulf border carry out container shipping operations. Therefore, in the present study, we investigate the impact of the most importa...

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Main Author: Reza Roshan
Format: Article
Language:English
Published: University of Sistan and Baluchestan 2022-12-01
Series:International Journal of Business and Development Studies
Subjects:
Online Access:https://ijbds.usb.ac.ir/article_7475_7f911bbcbcd5d542e9ff88a5ff73d8fa.pdf
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author Reza Roshan
author_facet Reza Roshan
author_sort Reza Roshan
collection DOAJ
description Nowadays, maritime trade plays an important role in the economy of some countries, including Iran. Especially, some of the ports in Iran that are located on the Persian Gulf border carry out container shipping operations. Therefore, in the present study, we investigate the impact of the most important macroeconomic factors on the container trading in Iranian ports in the Persian Gulf. For this purpose, we employed the autoregressive distributive lag (ARDL) approach for the estimating effect of oil price, gross national production, industrialization and exchange rate on the container trading volume. The used data are quarterly. Container business data is related to the ports of Shahid Rajaei, Bushehr, Imam Khomeini, Khorramshahr, Shahid Bahonar, which are obtained from the Ports and Maritime Organization. The results of this study show a negative impact of increasing oil price on Iran's container trading. Moreover, our empirical findings indicate that the effect of industrial indicator (INDS) on the container trading volume is positively. Also, one percent increases in gross national production (GNP) leads to %0.37 increase  in container trading, and one percent increase in exchange rate (EXH)  leads to %.17 decrease  in container trading, respectively. Finally, coefficient of ECM is -0.54. It means that speed of adjustment in the function of container trading volume is relatively high, and in each period, 54 percent deviation from long run direction of container trading volume to be corrected by variables of model.
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spelling doaj.art-7ff782ced1e34d27ad1af80e032be98e2023-06-15T17:04:59ZengUniversity of Sistan and BaluchestanInternational Journal of Business and Development Studies2538-33022538-33102022-12-01142455610.22111/ijbds.2022.74757475Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian GulfReza Roshan0Associate Professor of Economics, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran.Nowadays, maritime trade plays an important role in the economy of some countries, including Iran. Especially, some of the ports in Iran that are located on the Persian Gulf border carry out container shipping operations. Therefore, in the present study, we investigate the impact of the most important macroeconomic factors on the container trading in Iranian ports in the Persian Gulf. For this purpose, we employed the autoregressive distributive lag (ARDL) approach for the estimating effect of oil price, gross national production, industrialization and exchange rate on the container trading volume. The used data are quarterly. Container business data is related to the ports of Shahid Rajaei, Bushehr, Imam Khomeini, Khorramshahr, Shahid Bahonar, which are obtained from the Ports and Maritime Organization. The results of this study show a negative impact of increasing oil price on Iran's container trading. Moreover, our empirical findings indicate that the effect of industrial indicator (INDS) on the container trading volume is positively. Also, one percent increases in gross national production (GNP) leads to %0.37 increase  in container trading, and one percent increase in exchange rate (EXH)  leads to %.17 decrease  in container trading, respectively. Finally, coefficient of ECM is -0.54. It means that speed of adjustment in the function of container trading volume is relatively high, and in each period, 54 percent deviation from long run direction of container trading volume to be corrected by variables of model.https://ijbds.usb.ac.ir/article_7475_7f911bbcbcd5d542e9ff88a5ff73d8fa.pdfcontainer tradingiranian ports in the persian gulfmacroeconomic variablesardl approach
spellingShingle Reza Roshan
Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf
International Journal of Business and Development Studies
container trading
iranian ports in the persian gulf
macroeconomic variables
ardl approach
title Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf
title_full Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf
title_fullStr Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf
title_full_unstemmed Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf
title_short Investigating the Impact of Macroeconomic Variables on the Container Trading in Iranian Ports of the Persian Gulf
title_sort investigating the impact of macroeconomic variables on the container trading in iranian ports of the persian gulf
topic container trading
iranian ports in the persian gulf
macroeconomic variables
ardl approach
url https://ijbds.usb.ac.ir/article_7475_7f911bbcbcd5d542e9ff88a5ff73d8fa.pdf
work_keys_str_mv AT rezaroshan investigatingtheimpactofmacroeconomicvariablesonthecontainertradinginiranianportsofthepersiangulf