IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v10y2022i8p193-d883132.html
   My bibliography  Save this article

The Impact of Uncertainty on Trade: The Case for a Small Port

Author

Listed:
  • Noor Zahirah Mohd Sidek

    (Department of Economics, Faculty of Business Management, Universiti Teknologi MARA, Sungai Petani 08400, Kedah, Malaysia)

  • Bhuk Kiranantawat

    (College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Dusit, Bangkok 10300, Thailand)

  • Martusorn Khaengkhan

    (College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Dusit, Bangkok 10300, Thailand)

Abstract

In the present paper, we show how uncertainty emanating from fluctuations in economic uncertainty, news-based uncertainty, and geopolitical risks affect the number of containers exported from Thailand via Penang Port, Malaysia. Our sample extends from January 2009 to May 2020 from three main entry points in the Northern Peninsular Malaysia–Thailand Border: Padang Besar, Surat Thani, and Bukit Kayu Hitam. Two modes of transportation of containers are mainly used for export purposes, namely, road and rai. This study examines the nonlinear effect of uncertainty on trade by employing a two-regime Markov regime-switching approach. The empirical results show that, overall, uncertainty significantly affects the movement of containers in the high-uncertainty regime. Therefore, small ports must continue to diversify their client base to cushion the impact of fluctuations in global trade due to uncertainty.

Suggested Citation

  • Noor Zahirah Mohd Sidek & Bhuk Kiranantawat & Martusorn Khaengkhan, 2022. "The Impact of Uncertainty on Trade: The Case for a Small Port," Economies, MDPI, vol. 10(8), pages 1-18, August.
  • Handle: RePEc:gam:jecomi:v:10:y:2022:i:8:p:193-:d:883132
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/10/8/193/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/10/8/193/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    2. Seung Hoon Lee & Yong Suk Lee, 2018. "Political Influence and Trade Uncertainty: Evidence from Sanction Threats and Impositions," Economics Bulletin, AccessEcon, vol. 38(1), pages 367-372.
    3. Li, Mangmang & Cao, Yuqiang & Lu, Meiting & Wang, Hongjian, 2021. "Political uncertainty and allocation of decision rights among business groups: Evidence from the replacement of municipal officials," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    4. Klaassen, Franc, 2004. "Why is it so difficult to find an effect of exchange rate risk on trade?," Journal of International Money and Finance, Elsevier, vol. 23(5), pages 817-839, September.
    5. Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
    6. Peree, Eric & Steinherr, Alfred, 1989. "Exchange rate uncertainty and foreign trade," European Economic Review, Elsevier, vol. 33(6), pages 1241-1264, July.
    7. Justin Wolfers & Eric Zitzewitz, 2009. "Using Markets to Inform Policy: The Case of the Iraq War," Economica, London School of Economics and Political Science, vol. 76(302), pages 225-250, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Yuqin & Liu, Zhenhua & Wu, Shan, 2022. "The global economic policy uncertainty spillover analysis: In the background of COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. Cao, Yuqiang & Li, Chenglin & Liu, Xinghe & Lu, Meiting & Shan, Yaowen, 2022. "Economic policy uncertainty and debt allocation within business groups," Economic Modelling, Elsevier, vol. 116(C).
    3. Ito, Asei & Lim, Jaehwan & Zhang, Hongyong, 2023. "Catching the political leader's signal: Economic policy uncertainty and firm investment in China," China Economic Review, Elsevier, vol. 81(C).
    4. Mo Chen & Xuhua Hu & Jijian Zhang & Zhe Xu & Guang Yang & Zenan Sun, 2023. "Are Firms More Willing to Seek Green Technology Innovation in the Context of Economic Policy Uncertainty? —Evidence from China," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    5. Yi‐Ting Peng & Tsangyao Chang & Omid Ranjbar, 2022. "Analyzing the degree of persistence of economic policy uncertainty using linear and non‐linear fourier quantile unit root tests," Manchester School, University of Manchester, vol. 90(4), pages 453-471, July.
    6. Christopher F. Baum & Mustafa Caglayan & Neslihan Ozkan, 2004. "Nonlinear effects of exchange rate volatility on the volume of bilateral exports," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 1-23.
    7. E. M. Ekanayake & John R. Ledgerwood & Sabrina D’Souza, 2010. "The Real Exchange Rate Volatility And U.S. Exports: An Empirical Investigation," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 23-35.
    8. Christopher F. Baum & Mustafa Caglayan & Neslihan Ozkan, 2000. "Exchange Rate Effects on the Volume of Trade Flows: An Empirical Analysis Employing High-Frequency Data," CeNDEF Workshop Papers, January 2001 5B.1, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    9. Chowdhury, Md Shahedur R. & Damianov, Damian S., 2024. "Uncertainty and bubbles in cryptocurrencies: Evidence from newly developed uncertainty indices," International Review of Financial Analysis, Elsevier, vol. 91(C).
    10. Jun, Xiao & Huang, Wenwei & Guo, Yiting & Cao, Yuqiang & Lu, Meiting, 2023. "Why does economic policy uncertainty increase firm-level pollutant emission?," Economic Modelling, Elsevier, vol. 129(C).
    11. Gabriel Pino & Dilara Tas & Subhash C. Sharma, 2016. "An investigation of the effects of exchange rate volatility on exports in East Asia," Applied Economics, Taylor & Francis Journals, vol. 48(26), pages 2397-2411, June.
    12. Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
    13. Hasanov Akram, 2011. "Exchange rate risk and trade flows: the case of Belarus, Kazakhstan, Russia, and Ukraine," EERC Working Paper Series 11/09e, EERC Research Network, Russia and CIS.
    14. Juan Pi??eiro Chousa, & Artur Tamazian, & Davit N. Melikyan,, 2008. "MARKET RISK DYNAMICS AND COMPETITIVENESS AFTER THE EURO: Evidence from EMU Members," William Davidson Institute Working Papers Series wp916, William Davidson Institute at the University of Michigan.
    15. Lira SEKANTSI, 2011. "The Impact of Real Exchange Rate Volatility on South African Exports to the United States (U.S.): A Bounds Test Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 8, pages 119-139, December.
    16. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    17. Philip Barrett & Mariia Bondar & Sophia Chen & Mali Chivakul & Deniz Igan, 2024. "Pricing protest: the response of financial markets to social unrest," Review of Finance, European Finance Association, vol. 28(4), pages 1419-1450.
    18. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    19. Jiang, Yonghong & Wu, Lanxin & Tian, Gengyu & Nie, He, 2021. "Do cryptocurrencies hedge against EPU and the equity market volatility during COVID-19? – New evidence from quantile coherency analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    20. Refk Selmi & Christos Kollias & Stephanos Papadamou & Rangan Gupta, 2017. "A Copula-Based Quantile-on-Quantile Regression Approach to Modeling Dependence Structure between Stock and Bond Returns: Evidence from Historical Data of India, South Africa, UK and US," Working Papers 201747, University of Pretoria, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:10:y:2022:i:8:p:193-:d:883132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.