No abstract

While Bangladesh remains steeped in staggering external debt, it is also concurrently witnessing a substantial outflow of domestic capital. This situation raises serious policy concerns for its development prospects. This paper applies the Bounds testing and the Autoregressive Distributed Lag procedures to confirm the existence of a long-run equilibrium relationship between capital flight and its determinants, and to estimate the long-run and short-run behavior of capital flight from Bangladesh. The estimated results suggest that political instability is the single most significant cause of capital flight from Bangladesh, while increases in corporate income taxes, higher real interest rate differentials between the capital-haven countries and Bangladesh, and lower GDP growth rates also significantly contribute to capital flight.

A new area of research has recently emerged that analyzes the impact of corruption on foreign direct investment (FDI) in developing countries. The FDI literature comprises two opposing views of corruption-the grabbing hand hypothesis holds that corruption impedes FDI by raising uncertainty and transaction costs and the helping hand hypothesis holds that corruption facilitates FDI by greasing the wheels of commerce in the presence of weak regulatory frameworks. This study analyzes the impact of corruption on FDI inflows in 53 countries in Africa over the 1995-2012 period. Using the dynamic System Generalized Method of Moments modeling framework (Arellano-Bover/Blundell-Bond linear dynamic panel), this study finds support for the helping hand hypothesis, i.e., corruption facilitates FDI inflows in Africa. It is likely that the overall regulatory environment in Africa is weak, which helps explain the context in which the helping hand hypothesis can be validated. In addition, this study finds that past levels of FDI, market size, government effectiveness, infrastructure, and economic freedom also affect FDI significantly. These results further our knowledge of the FDI dynamics in Africa, which policymakers should find helpful in devising pro-FDI strategies.

No abstract

This study estimates an aid-growth model and an aid-fiscal model to quantify the effects of foreign aid on GDP growth and fiscal behavior in Bangladesh over the 1973-1999 period. The aid-growth model applies the cointegration method to a neoclassical growth model and finds that aid has marginal effects on GDP growth, but when aid is disaggregated into loans and grants, it is found that loans significantly raise GDP growth, while grants do not. The aid-fiscal model employs a non-linear simultaneous model and finds that foreign grants mostly finance non-productive civil expenditures, but foreign loans generally finance public investment projects and human capital building programs, which eventually lead to higher output growth.