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The Economic Complexity Index (ECI) and Output Volatility: High vs Low Income Countries

Author

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  • Marthinus C. Breitenbach

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Carolyn Chisadza

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Matthew Clance

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

Abstract

In this study we explore whether more complex economies are better shielded against exogenous shocks. We contribute to the empirical literature on determinants of output volatility by introducing a relatively new index on productive capabilities of export goods, the Economic Complexity Index (ECI), developed by Hausmann et al. (2014). The ECI measures the productive capabilities of countries by explaining the knowledge accumulated in a population based on the goods they produce and export and to which countries they export. As such, not only does this measure capture diversification but also the technology embedded in the products. Using panel data analysis for a cross section of countries from 1984 to 2016, we find variations in the effects of ECI on output volatility between high and low income countries. For high income countries, increases in ECI reduce output volatility in the short to medium term (under 3 years), whereas we observe a longer delay in output volatility moderation for low income countries. The findings suggest that low income countries have less diversified and less complex export goods which leave them open to external shocks and reduce their ability to adjust quickly to the shocks. Furthermore, disaggregation by regions reveals that economic complexity in Asia is relatively more effective at reducing output volatility than in Africa. The difference between the two regions could be due to Africa’s primary production and exports being in relatively homogenous goods with no differentiation and subject to the volatility of world markets.

Suggested Citation

  • Marthinus C. Breitenbach & Carolyn Chisadza & Matthew Clance, 2021. "The Economic Complexity Index (ECI) and Output Volatility: High vs Low Income Countries," Working Papers 202125, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202125
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    References listed on IDEAS

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    Cited by:

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    3. Balsalobre-Lorente, Daniel & Contente dos Santos Parente, Clara & Leitão, Nuno Carlos & Cantos-Cantos, José María, 2023. "The influence of economic complexity processes and renewable energy on CO2 emissions of BRICS. What about industry 4.0?," Resources Policy, Elsevier, vol. 82(C).
    4. Goran Hristovski & Gjorgji Gockov & Viktor Stojkoski, 2024. "Multidimensional Economic Complexity and Fiscal Crises," Papers 2411.02027, arXiv.org.
    5. Gnangnon, Sèna Kimm, 2023. "Effect of the duration of membership in the GATT/WTO on economic growth volatility," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 448-467.
    6. Zhu, Lingling, 2023. "Balancing natural resources, urbanization, and innovation for sustainable economic recovery in Asia," Resources Policy, Elsevier, vol. 84(C).
    7. Gnangnon, Sèna Kimm, 2022. "Effect of the Duration of Membership in the GATT/WTO on Human Development in Developed and Developing Countries," EconStor Preprints 265061, ZBW - Leibniz Information Centre for Economics.
    8. Eslam A. Hassanein & Nagwa Samak & Salwa Abdelaziz, 2024. "The synergetic effect of economic complexity and governance on quality of life: policy thresholds," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.

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    More about this item

    Keywords

    output volatility; export diversification; economic complexity; panel data; high vs low income countries; fixed effects model; ECI;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F10 - International Economics - - Trade - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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