Climatic conditions and weather play an important role in production agriculture. Using district level panels for 42 years from India and dynamic panel estimation procedure we estimate the impact of weather risk on cropping intensity. Our non-stationary and dynamic panel model results suggest...

Zambia and particularly the Eastern province have one of the highest rates of malnutrition in the world. The most vulnerable are the children from rural households which depend entirely on seasonal agricultural production and income, and survive on diets that are deficiency in proteins and other...

This study develops and solves a stochastic, multi-year, discrete space-time model that allows the comparative analysis between non-spatial and spatially explicit models. The solution to this model implies the Stochastic Space-Time Natural Enemy-adjusted Economic Threshold (SST-NEET) to guide...

This paper exploits a liquidity shock from a large-scale welfare program in Brazil to investigate the importance of credit constraints and informal financial assistance in explaining entrepreneurship. Previous research focuses exclusively on how liquidity shocks change recipients’ behavior...

Sustainable agriculture is garnering renewed interest as more customers and retailers from both the U.S. and the world markets demand more sustainably sourced products and ingredients. Processed vegetables (canned and frozen) such as sweet corn and green beans face this same growing demand. To...

Effective food security work in developing countries, such as Mali, relies on a thorough understanding of the rural farming system. A common approach is to study land allocation decisions to specific crops. In accomplishing this, one challenge is to model all production outcomes in a multi-crop...

Managers of businesses that involve agricultural commodities need price forecasts in order to manage the risk in either the sale or purchase of agricultural commodities. Sometimes the most important forecasting component is simply whether the price will move up or down. Such binary forecasts are...

We propose a reliable indicator of vulnerability to climate change in agriculture that allows assessing within the system the main components of vulnerability at a local level: stressors exposure (SE), stressors sensitivity (SS), and adaptive capacity (AC). Also, this indicator will allow...