IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v24y2023i2p243-257.html
   My bibliography  Save this article

An Analysis of the Importance of Terms of Trade in South Africa Using Impulse Response Function

Author

Listed:
  • Temitope L. A. Leshoro

Abstract

The understanding of the terms of trade is essential as its worsening can cause severe disruptions in any economy. South Africa, as a developing nation and a net importer, coupled with its low contribution to the global export market, is not spared the effects of the volatility of export prices. It is therefore important to observe the effects of a negative shock in the commodity terms of trade on selected key macroeconomic variables. Using quarterly data from the period 1988: Q2 to 2019: Q3, the study adopted the Monte Carlo impulse response function and variance decomposition analyses to examine the path of a given variable that resulted from a negative shock in the terms of trade. The results showed that all the variables responded, as expected, to the shock in the commodity terms of trade, both in the short and long run, and that they all returned to stable states. The study further showed the importance of output growth, exchange rate and investment in explaining the commodity terms of trade decomposition. The study concludes by providing some policy recommendations.

Suggested Citation

  • Temitope L. A. Leshoro, 2023. "An Analysis of the Importance of Terms of Trade in South Africa Using Impulse Response Function," Global Business Review, International Management Institute, vol. 24(2), pages 243-257, April.
    • Handle: RePEc:sae:globus:v:24:y:2023:i:2:p:243-257
    DOI: 10.1177/0972150920916558
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972150920916558
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972150920916558?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David Gruen & Jacqueline Dwyer, 1996. "Are Terms of Trade Rises Inflationary?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 29(2), pages 211-224, April.
    2. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Olusegun A. Akanbi, 2012. "Role Of Governance In Explaining Domestic Investment In Nigeria," South African Journal of Economics, Economic Society of South Africa, vol. 80(4), pages 473-489, December.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    6. Mehmet Balcilar & Josine Uwilingiye & Rangan Gupta, 2018. "Dynamic Relationship Between Oil Price And Inflation In South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(2), pages 73-93, April-Jun.
    7. Christopher N. Ekong & Ekpeno L. Effiong, 2015. "Oil Price Shocks and Nigeria’s Macroeconomy: Disentangling the Dynamics of Crude Oil Market Shocks," Global Business Review, International Management Institute, vol. 16(6), pages 920-935, December.
    8. Marianne Baxter & Michael A. Kouparitsas, 2000. "What Causes Fluctuations in the Terms of Trade?," NBER Working Papers 7462, National Bureau of Economic Research, Inc.
    9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    10. Christian Broda & Cédric Tille, 2003. "Coping with terms-of-trade shocks in developing countries," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 9(Nov).
    11. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    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. Ekpeno L. Effiong, 2014. "Exchange Rate Dynamics and Monetary Fundamentals: A Cointegrated SVAR Approach for Nigeria," Global Business Review, International Management Institute, vol. 15(2), pages 205-221, June.
    2. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).
    3. Mohammad Reza Farzanegan & Mohammad Habibpour, 2014. "Direct Distribution of Rents and the Resource Curse in Iran: A Micro-econometric Analysis," MAGKS Papers on Economics 201425, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    5. Ramona Dumitriu & Razvan Stefanescu, 2015. "The Relationship Between Romanian Exports And Economic Growth After The Adhesion To European Union," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 17-26.
    6. Ruixiaoxiao Zhang & Geoffrey QP Shen & Meng Ni & Johnny Wong, 2020. "The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy," Energy & Environment, , vol. 31(2), pages 215-236, March.
    7. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    8. Catherine Bruneau & Eric Jondeau, 1999. "Long‐run Causality, with an Application to International Links Between Long‐term Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 545-568, November.
    9. Eleni Constantinou & Avo Kazandjian & Georgios P. Kouretas & Vera Tahmazian, 2008. "Common Stochastic Trends Among The Cyprus Stock Exchange And The Ase, Lse And Nyse," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 327-349, October.
    10. Mesbah Motamed & Kenneth A. Foster & Wallace E. Tyner, 2008. "Applying cointegration and error correction to measure trade linkages: maize prices in the United States and Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 29-39, July.
    11. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    12. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2014. "Transmission of the debt crisis: From EU15 to USA or vice versa? A GVAR approach," Journal of Economics and Business, Elsevier, vol. 76(C), pages 115-132.
    13. Mohammad Reza Farzanegan & Sajjad Faraji Dizaji, 2014. "Political Institutions and Government Spending Behavior in Iran," MAGKS Papers on Economics 201403, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    15. Haruna Issahaku & Yazidu Uztarz & Paul Bata Domanban, 2013. "Macroeconomic Variables and Stock Market Returns in Ghana: Any Causal Link?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(8), pages 1044-1062, August.
    16. Sajjad F. Dizaji & Mohammad Reza Farzanegan & Alireza Naghavi, 2016. "Political institutions and government spending behavior: theory and evidence from Iran," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 23(3), pages 522-549, June.
    17. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    18. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    19. Man-Keun Kim & Kangil Lee, 2015. "Dynamic Interactions between Carbon and Energy Prices in the U.S. Regional Greenhouse Gas Initiative," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 494-501.
    20. Christos Karpetis, 2008. "Money, Income and Inflation in Equilibrium – The Case of Greece," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 205-214, May.

    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:sae:globus:v:24:y:2023:i:2:p:243-257. 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: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    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.