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The ‘aid conditionality’ hypothesis as documented in the literature suggests that aid is effective in augmenting growth only in the presence of a sound policy environment. This hypothesis was so influential that its policy recommendation, to provide aid conditional upon recipient domestic policies, is currently the dominant ODA allocation criterion. However non-economic dimensions of development (political and institutional) are increasingly seen as fundamental. For this reason, this paper focuses on the linkage between aid and a non-economic factor like Human Rights (reflecting repression and corruption) as a measure of aid effectiveness, in explaining growth outcomes across 42 Least Developed economies. We find that countries with better protection of human rights experience positive growth from aid receipts, signifying the role of stronger institutions in enabling more effective use of aid. The paper thus concludes that the measurement and monitoring of human rights provision is a useful tool in gauging the likely effectiveness of foreign aid.

This paper examines the direct effects of corporate tax on firm productivity along with the interaction effects of tax policy and R&D activity on productivity at firm level for over 13,062 firms during 2004-2011. Our main findings are first, that there is evidence for productivity convergence and we find that there is a positive robust relationship between R&D and firm productivity, whereas tax policy has a negative distortionary effect on TFP. Second, firms with greater export orientation do not seem to achieve much improvement in productivity, whereas the favourable productivity effect in the case of R&D-based firms suggests that if there are tax incentives in place for R&D type activity, it can promote innovation and drive productivity convergence (lagging firms closing the technology gap with those at the frontier), particularly so when there is a continued decline in overall economic activity. The results also show a significant non-linear effect of tax rate on firm-level productivity, identifying an inverse U-shaped relationship.

Given limited research on monetary policy rules in emerging markets, this paper estimates monetary policy rules for five key emerging market economies: Brazil, Russia, India, China and South Africa (BRICS) analysing whether the monetary authority reacts to changes in financial markets, in monetary conditions, in the foreign exchange sector and in the commodity price. To get a deeper understanding of the central bank’s behaviour, we assess the importance of nonlinearity using a smooth transition (STAR) model. Using quarterly data, we find strong evidence that the monetary policy followed by the Central Banks in the BRICS varies from one country to another and that it exhibits nonlinearity. In particular, considerations about economic growth (in the cases of Brazil and Russia), inflation (for India and China) and stability of financial markets (in South Africa) seem to be the major drivers of such nonlinear monetary policy behaviour. Moreover, the findings suggest that the monetary authorities pursue, with the exception of India, a target range for the threshold variable rather than a specific point target. In fact, the exponential smooth transition regression (ESTR) model seems to be the best description of the monetary policy rule in these countries., Fundação para a Ciência e a Tecnologia (FCT)