Coffee is the most important export crop in Uganda and an important source of income for smallholder farmers in large parts of the country. The paper first investigates the challenges and opportunities faced by the Ugandan coffee industry, especially the decline in the world coffee market,...

The concentration of crop cultivation can be measured in terms of spatial clustering and of inequality in the distribution of the cropland area. We used official agricultural statistics at the county level (N = 2,354) for each year from 1980 to 2011 for all of China to analyse the changes in...

Spatially explicit global cropping system data products, which provide critical information on harvested areas, crop yields, and other management variables, are imperative to tackle current grand challenges such as global food security and climate change. These cropping system datasets are also...

Extreme events, such as those caused by climate change, economic or geopolitical shocks, and pest or dis- ease epidemics, threaten global food security. The complexity of causation, as well as the myriad ways that an event, or a sequence of events, creates cascading and systemic impacts, poses...

Global agricultural production has risen substantially in recent decades and needs to rise further to meet the ever-growing food demand. While higher production can be directly attributed to agricultural expansion and intensification, the underlying factors behind the changes in cultivated areas...

Weather shocks and natural disasters, it has been argued, represent a major threat to national and international security. Our paper contributes to the emerging micro-level strand of the literature on the link between local variations in weather shocks and conflict by focusing on a pixel-level...

This paper looks at differences in spatial and temporal variation of rice yields in China and Brazil. We find that rice yields in China have converged over time and that rice production has become more and more homogeneous. In contrast, rice yields in Brazil have diverged over time, primarily...

Improved land-use efficiency in agricultural production is crucial to meet increasing demand for agricultural commodities using the finite area of arable land worldwide. By applying a spatial autoregressive stochastic frontier methodology to county-level data spanning from 1980 to 2011, we...