Purpose The purpose of this paper is to empirically examine the impact of financial development on poverty reduction in developing countries. The paper also investigates whether financial development affects poverty via institutional quality and GDP growth. Design/methodology/approach To take into account the dynamics nature of panel data and country-specific effects, the authors use a two-step system GMM estimator. The authors also employ a large array of measures of financial development in order to check the robustness of the results. The analysis is carried out for a sample of developing countries using an unbalanced panel data set covering the period 1985-2008. Findings The authors find that financial development plays a significant role in reducing absolute poverty. However, the authors do not find any pro-poor impact of financial development when poverty is measured in relative terms. The authors show that the impact of financial development on poverty alleviation is statistically significant when liquid liabilities and credit granted to the private sector are used as a proxy of financial development. The results on the indirect effect of financial development indicate that financial sector development has larger effects on poverty reduction when institutional arrangements are sound or/and when economic growth is high. Practical implications The findings suggest that the inference for a pro-poor effect of financial development depends primarily on the measure of poverty and the choice of the proxy for financial development. Banking sector reforms may be an effective instrument to tackle absolute levels poverty. However, the policy makers should not rely only on financial reforms, regardless of whether they are based on banks or stock markets, to narrow the gap between the poorest quintile of the population and the richer quintiles. Rather, they should also utilize fiscal policies, such as progressive taxation and public-expenditure projects, to redistribute resources. Originality/value The paper differs from the previous studies in several ways. First, it studies the financial development-poverty nexus using three alternative indices of poverty. Second, this study focusses on a sample of developing countries only. As the structure and development level of the financial sector in poor and rich countries could differ significantly, focussing on developing countries helps mitigate the problem of heterogeneity arising from using a pooled sample of rich and poor countries. Third, robust estimation methods are applied that take into account the dynamic nature of empirical models and country-specific effects.

Is economic diversification desirable for a resource rich country? Our knowledge on this issue is at best partial. This paper revisits the literature on diversification in resource rich states. It maps the history of diversification, identifies gaps in the literature and documents some trends in the data. In particular, it exposes limitations in the data and catalogues trends in non-oil exports and non-oil private sector employment. It concludes with an agenda for research.

The aim of this paper is to empirically analysewhether the level of institutional quality influences the effect of financial development on poverty for a sample of developing countries covering the period from 1984 to 2012, or not. Using an interaction term constructed as a product between financial development and institutional qualitywe find that the pro-poor impact of financial development decreases as the quality of institution rises. Such differential effect can be ascribed to the capacity of banks to provide functions that mimic those performed by a wellworking institutional framework.The results of this paper can be used for policy management.

Donor countries have been using international aid in the field of energy for at least three decades. The stated objective of this policy is to reduce emissions and promote sustainable development in the global South. In spite of the widespread use of this policy tool, very little is known about its effect on emissions. In this paper we perform an empirical audit of the effectiveness of energy‐related aid in tackling CO2 and SO2 emissions. Using a global panel dataset covering 128 countries over the period 1971–2011 and estimating a parsimonious model using the Anderson and Hsiao estimator, we do not find any evidence of a systematic effect of energy‐related aid on emissions. We also find that the non‐effect is not conditional on institutional quality or level of income. Countries located in Europe and Central Asia do better than others in utilizing this aid to reduce CO2 emissions. Our results are robust after controlling for the environmental Kuznets curve, country fixed effects, country‐specific trends, and time‐varying common shocks.

We unbundle the effect of debt on economic growth using a new panel data set sourced from Vague (2014, The next economic disaster: Why it's coming and how to avoid it. Philadelphia, PA: University of Pennsylvania Press) for 48 countries over the period 1961–2015. We distinguish between public, private, household and nonfinancial corporation (NFC) debt. We use the panel vector autoregressive approach, Granger causality tests and impulse response to establish causality. We also test the heterogeneity in the debt–growth relationship across developed and developing countries. In our full sample of countries, all types of debt appear to be harmful to economic growth. The negative effect of public debt appears to be uniform across developed and developing countries, although the impact is much stronger on developed countries. Household debt appears to be expansionary in developing countries whereas contractionary in developed countries. Nonfinancial corporation debt appears to have no impact on developing countries but negative impact on developed countries. Finally, total debt (i.e., the sum of public, household and NFC debt) has a negative impact on growth in developed countries, but no impact is detected in the case of developing countries.

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A diversified aid network could improve growth by reducing volatility. Alternatively, it could harm growth by encouraging waste and corruption. In this paper we test the effect of aid diversification on growth, growth acceleration, and growth duration. Using a large data set with a maximum of 126 countries over the period 1965–2010 and estimating three types of models (panel vector auto regression, binary dependent variable, and duration), we find the following. First, a diversified aid network Granger causes growth. Second, the “growth acceleration episodes” identified following the definition of Hausmann et al. (Journal of Economic Growth, 2005, 10, 303–329) do not seem to be affected by aid diversification. Third, the “growth spells” identified using Berg et al.’s definition appear to be prone to premature termination as a result of aid concentration. Our results appear to be robust to a wide array of tests and alternative measures of aid diversification.

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