This study employs mathematical programming to examine the trade-off between improving biophysical attributes and preserving ecosystem services, using Southern Tanzania as a case study. This study used data primarily collected via household surveys. This study tries to provide insights into...

Landless agricultural laborers and marginal farmers constitute much of India’s poor. As population growth increases and more people enter an expanding rural labor force, either they must eke out a living in the rural sector or add to the growing pressure on the country’s urban areas....

Though the Green Revolution has played a large role in producing food for increasing populations, the mass production of calories has come with costs. For example, varieties of finger millet (Eleusine coracana, known in India as ragi), which have largely been replaced during the Green...

Food processing has been widely recognized as a traditional, unskilled-labor intensive production. Yet rapid development in technology drives food processing into more sophisticated and technology-oriented industry. This paper utilizes a fixed effects model to test the hypothesis that the food...

Despite evidence of the importance of differences in the source and type of information that women and men acquire, there is a persistent assumption that these gender dimensions of information acquisition are irrelevant to decision-making in cereal systems in South Asia. Yet women do play a...

In low potential agricultural areas like the Honduran hillsides characterized by soil degradation and erosion, organic agriculture can provide a means to break the downward spiral of resource degradation and poverty. We use original survey data to analyze the factors influencing the decision to...

This paper uses the Double-Hurdle model on panel household data for small scale farmers in Zambia to examine policy gender effects on technology adoption by farmers. Technology adoption in this paper is defined as fertilizer use by small-scale farm households. The paper uses the correlated...