Causality among Financial Liberalization, Poverty and Income Inequality

Causality among Financial Liberalization, Poverty and Income Inequality

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Kappel, V (2009) explored the impact of financial liberalization on poverty and income inequality by using panel and cross country data of developed and developing countries. By applying OLS and 2SLS significant negative relationship is found between financial development and income inequality. In developed countries weak evidence was found for financial development to decrease income inequality whereas in developing countries financial liberalization was found to increase income inequality.

Pradhan (2010) examines the causal relationship among economic growth, financial development and poverty reduction in India during the period of 1951 to 2008. The empirical analysis deploys cointegration and dynamic Granger’s causality. Long run equilibrium relationship is found to be present among financial development, economic growth and poverty reduction .The Granger’s causality test shows that there is unidirectional causality from poverty reduction to economic growth, economic growth to financial development, and financial development to poverty reduction and economic growth to poverty reduction. It also shows the presence of no causality between financial development and economic growth, and poverty reduction and financial development. The research study recommends that economic growth is of prime importance to stimulate financial development and both could play a pivotal role in reducing poverty.

Jeanneney and Kpodar (2006) examine how financial development is useful in reducing by poverty on one hand by McKinnon conduit effect and on the other by promoting economic growth. The study is conducted on a panel of developing countries during the period of 1966 to 2000 first by employing OLS and then by Dynamic panel Generalized Met...


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The bank of Albania (2009) inspects the causative association between financial development and economic growth for the Albanian economy using the Granger causality test for five different proxies for financial development. For the non-stationary and non-cointegrated series, the VAR model has been constructed and later, the above test has been applied. For non-stationary series but with a cointegrating relationship, the Granger-causality test has been applied after the construction of the vector error correction model (VECM). The empirical findings of the study show that there is a positive relation between all indicators measuring the financial development and economic growth in the long term. While in the short term, this relation is quite vague since different indicators provide different results. The data used in this paper belong to the period 1996-2007.

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