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Trade and convergence of per capita income in the Indian Ocean Zone, 1950–2008

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  • Olivier Peron
  • Serge Rey

Abstract

This empirical study of per capita income convergence across the countries of the Indian Ocean Zone (IOZ) during 1950–2008 relies on a distribution dynamics approach that employs both stochastic kernels (stacked and high-density region plots) and a nonparametric estimator. During this period, no absolute convergence process of incomes occurs in the IOZ. Nevertheless, a bipolar situation emerges, such that countries with the weakest relative incomes in relation to the IOZ average remain in the same relative position—that is, the poorest countries remain poor. The relatively richest countries (i.e., Australia, Malaysia, Mauritius, Singapore, and Thailand) constitute a convergence club. Use of conditioned distributions shows that the dynamics of per capita gross domestic product (GDP) distributions can be explained both by the openness rate measured as trade/GDP ratio, or a proxy for trade policy, and by manufactured goods exports. However, this result likely confirms that the openness was accompanied by an increase in manufactured goods trade for many of these countries. In addition, openness defined following Sachs and Warner has a less explanatory power than traditional measure. Finally, bilateral trade and trade agreements have limited effects. Copyright Springer-Verlag 2012

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  • Olivier Peron & Serge Rey, 2012. "Trade and convergence of per capita income in the Indian Ocean Zone, 1950–2008," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(3), pages 657-683, December.
  • Handle: RePEc:spr:anresc:v:49:y:2012:i:3:p:657-683
    DOI: 10.1007/s00168-011-0462-4
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    2. Kant, Chander, 2019. "Income convergence and the catch-up index," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 613-627.
    3. Lin, Yi-Chen, 2016. "The global distribution of the burden of road traffic injuries: Evolution and intra-distribution mobility," Journal of Transport Geography, Elsevier, vol. 56(C), pages 77-91.
    4. Angelos Liontakis & Dimitris Kremmydas, 2013. "Food Inflation in EU: Distribution Analysis and Spatial Effects," Working Papers 2013-3, Agricultural University of Athens, Department Of Agricultural Economics.
    5. Wen‐Shuenn Deng & Yi‐Chen Lin & Ming‐Tien Tsai, 2018. "Polarization of life expectancy across countries: Does biological and cultural distance to the health technological frontier matter?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(3), pages 248-270, July.
    6. Lin, Yi-Chen & Deng, Wen-Shuenn, 2018. "Are per capita international tourist arrivals converging?," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 274-290.
    7. Jean-François Hoarau & Nicolas Lucic, 2022. "Are real merchandise imports per capita a good predictor for the standard of living for the small island world: Testing for the imports-led growth and the growth-led imports hypotheses in panels over ," TEPP Working Paper 2022-16, TEPP.
    8. Serge Rey & Florent Deisting, 2012. "GDP per Capita among African Countries over the Period 1950-2008: Highlights of Convergence Clubs," Post-Print hal-01885301, HAL.

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    Keywords

    C13; C16; F43; O47;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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