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This paper examines the influence of foreign direct investment (FDI) on economic growth in five SAARC member countries - Bangladesh, India, Nepal, Pakistan, and Sri Lanka. Using time series data from 1990 to 2010, an empirical model is estimated in which growth of real GDP depends on FDI, investment, openness, tax policy and inflation. After establishing the stationarity of the data series, cointegration tests are performed, and an error correction model is developed and estimated. The empirical results indicate that, unlike investment and openness to international trade, FDI has not played a significant role in promoting economic growth in these countries. We conclude that the effectiveness of FDI may depend in part on the size of the inflows, as well as the level of economic development. [ABSTRACT FROM AUTHOR]

Taxing agriculture to mobilize resources for industrialization has been a widely used development strategy. Using novel cross-country time-series data sets with direct measures of agricultural taxation, we examine how a policy bias against agriculture affects the speed of convergence in income per capita, structural change, and economic growth. We find that distortionary agricultural policies in poor economies can account for the emergence of convergence clubs in our sample by significantly retarding their structural transformation and economic growth. Overall, we find no evidence suggesting that policies that discriminate against agriculture have been beneficial for long-term economic growth. [ABSTRACT FROM AUTHOR]

We study how stochasticity in the evolution of agricultural productivity interacts with economic and population growth at the global level. We use a two-sector Schumpeterian model of growth, in which a manufacturing sector produces the traditional consumption good and an agricultural sector produces food to sustain contemporaneous population. Agriculture demands land as an input, itself treated as a scarce form of capital. In our model both population and sectoral technological progress are endogenously determined, and key technological parameters of the model are structurally estimated using 1960-2010 data on world GDP, population, cropland and technological progress. Introducing random shocks to the evolution of total factor productivity in agriculture, we show that uncertainty optimally requires more land to be converted into agricultural use as a hedge against production shortages, and that it significantly affects both optimal consumption and population trajectories. [ABSTRACT FROM AUTHOR]