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The determinants of the speed of convergence: the case of India

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  • David Abler
  • Jayanta Das

Abstract

A large number of studies have tested whether per capita incomes are converging, either conditionally or unconditionally, across countries or across regions within countries. However, none of them has investigated the determinants of the speed of convergence when this speed can vary across economies. This study investigates the determinants of the speed of convergence across states within India. The results are inconsistent in several ways with the predictions of the Solow-Swan model. The Ramsey-Cass-Koopmans model fares better, but there are still some important inconsistencies.

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  • David Abler & Jayanta Das, 1998. "The determinants of the speed of convergence: the case of India," Applied Economics, Taylor & Francis Journals, vol. 30(12), pages 1595-1602.
    • Handle: RePEc:taf:applec:v:30:y:1998:i:12:p:1595-1602
    DOI: 10.1080/000368498324670
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    1. Stephen Dobson & Carlyn Ramlogan & Eric Strobl, 2006. "Why Do Rates Of Β‐Convergence Differ? A Meta‐Regression Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(2), pages 153-173, May.
    2. Naved Ahmad, 2008. "Corrupt clubs and the convergence hypothesis," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 11(1), pages 21-28.
    3. Theodoros Arvanitopoulos & Vassilis Monastiriotis & Theodore Panagiotidis, 2021. "Drivers of convergence: The role of first- and second-nature geography," Urban Studies, Urban Studies Journal Limited, vol. 58(14), pages 2880-2900, November.

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