The impact of genetically modified (GM) crops on the poor in developing countries is still the subject of controversy. While previous studies have examined direct productivity effects of Bacillus thuringiensis (Bt) cotton and other GM crops, little is known about wider socioeconomic outcomes. We...

This paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. When the model is applied to Polish farms, the results indicate that the conventional random and fixed effect models...

With declining Irish potato production trends in Kenya this paper identifies and analyses factors that influence the economic efficiency of smallholder Irish potato producers in Kenya by drawing on data from random sample of 130 smallholder farmers from Nyandarua North district. A dual...

Rising agricultural productivity in developing countries is crucial to ease the tension of increased population and haunting concern on food security. Nevertheless the soaring price of fertilizer and sluggish dissemination of improved seed varieties prohibit the poor to tap benefits from...

This paper presents an ex ante analysis of the private and social profitability of the introduction of Bt cotton for a major cotton producing area of northern Mozambique. Cotton is especially relevant to rural poverty reduction because smallholders often have few alternative cash earning...

China has embarked on a major program to modernise agricultural and agribusiness structures with far reaching implications for rural development, international competitiveness / trade and food safety. There are, however, few studies that examine in detail how the modernisation program has...

Public resources are limited and have competing demands, hence prioritization will be critical. Policymakers want to know what public spending on agriculture sector will have the largest impact on the poor and how the resources should be allocated among the different sub-sectors. This brief...

Since the 1980s, the investments in infrastructure have been significantly reduced, jeopardizing Total Factor Productivity (TFP) and competitiveness of Brazilian agriculture. The Solow growth model with panel data is used to estimate TFP. An adaptation of the Zhang and Fan (2004) model for...

We assess long-run patterns of global agricultural productivity growth in developing countries between 1970 and 2005 and examine the relationship between investments in technology capital and productivity. To measure agricultural total factor productivity (TFP) we employ a Solow-type growth...

Increased future demands for food, fibre and fuels from biomass can only be met if the available land and water resources on a global scale are used and managed as efficiently as possible. The main routes for making the global agricultural system more productive are through intensification and...