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Estimating Export Potential For A Small Open Economy Using A Gravity Model Approach: Evidence From Namibia

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  • Joel Hinaunye Eita

    (Department of Economics & Econometrics; University of Johannesburg, South Africa)

Abstract

Exports are the drivers of economic growth in Namibia. Given their importance in the economy, it is necessary to analyse factors that are determining export flows between Namibia and its trading partners. A gravity model is very important in the analysis of bilateral trade flows, and has proven to be a useful tool in determining trade or export potential of a country. The purpose of this study is to investigate factors that determine exports of Namibia using a gravity model approach. Panel data econometric technique was used to estimate the gravity model for Namibia. The analysis covers the period 1998 – 2012 and uses annual data. Pooled effects, fixed effects and random effects models were estimated. The LM and F-test statistics were used to test for poolability of the cross-sections. Poolability was rejected in favour of heterogeneity among the cross-sections. Haussman test was used to determine whether fixed or random effects is the appropriate model. The results showed that fixed effect is the appropriate model. The analysis indicates that increases in importer’s GDP and Namibia’s GDP cause exports to increase, while distance and importer’s GDP per capita are associated with a decrease in exports. Namibia’s GDP per capita and real exchange rates do not have an impact on export. Namibia exports more to countries where it shares a common border and SADC as well as to the European Union. The study shows that there is unexploited export potential to among others, Australia, Belgium, Kenya, Mauritius, Netherlands, Portugal, South Africa and Switzerland. These results are important for trade policy formulation in order ensure that Namibia’s export potential is exploited in order to enhance economic growth and generates employment. Trade promotion activities should be directed to that have unexploited potential.

Suggested Citation

  • Joel Hinaunye Eita, 2016. "Estimating Export Potential For A Small Open Economy Using A Gravity Model Approach: Evidence From Namibia," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(4), pages 273-288, October-D.
  • Handle: RePEc:jda:journl:vol.50:year:2016:issue4:pp:269-284
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    Cited by:

    1. Al Faithrich C. Navarrete & Virgillio M. Tatlonghari, 2018. "An empirical assessment of the effects of the Japan–Philippine Economic Partnership Agreement (JPEPA) on Philippine exports to Japan: a gravity model approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-20, December.
    2. Wong, Colin Koh King & Liew, Venus Khim-Sen & Arip, Mohammad Affendy, 2021. "The Effects of ASEAN Economic Community (AEC) Blueprint Adoption on Intra-ASEAN Trade on Manufacturing Products," MPRA Paper 107983, University Library of Munich, Germany.
    3. Liu, Sen & Dong, Zhiliang & Ding, Chao & Wang, Tian & Zhang, Yichi, 2020. "Do you need cobalt ore? Estimating potential trade relations through link prediction," Resources Policy, Elsevier, vol. 66(C).
    4. Bakari, Sayef, 2024. "Unlocking Prosperity: Fresh Insights into Economic Growth Through Financial Development, Domestic Investment, and Corruption Trends in LAC Countries," MPRA Paper 120411, University Library of Munich, Germany.
    5. Xuanru Zhou & Hua Zhang & Shuxian Zheng & Wanli Xing & Pei Zhao & Haiying Li, 2022. "The Crude Oil International Trade Competition Networks: Evolution Trends and Estimating Potential Competition Links," Energies, MDPI, vol. 15(7), pages 1-20, March.

    More about this item

    Keywords

    gravity model; Namibia; export potential; pooled; fixed effects; random effects;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F10 - International Economics - - Trade - - - General
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

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