Despite of the important role international migration fills in the United States’ labor-intensive agricultural sector, few studies have addressed the individual characteristics and circumstances surrounding entry and exit by farm laborers. With increasing public attention on international...

In recent decades there has been a substantial increase in the scale of production and the use of production contracts in the hog sector. This paper explores empirically whether these two phenomena are related by examining whether the use of production contracts has allowed finish hog operations...

Supermarkets are currently gaining ground in the agri-food systems of many developing countries. While recent research has analyzed income effects in the small farm sector, impacts on farming efficiency have hardly been studied. Productivity effects in previous studies are also estimated with...

This paper proposes and applies an innovative estimation approach for farm group programming models using Generalised Maximum Entropy. The proposed set-up simultaneously determines calibrating cost function parameters and input allocations to production activities. The methodology is applied to...

The increasing use of production contracts in the hog sector has reduced the number of spot market transactions, raised concerns about price manipulation and helped to spur legislation requiring price reporting by packers. Using data from the 2002 and 2007 Censuses of Agriculture, this study...

The purpose of the following paper is to explore different factors causing structural changes in the Colombian coffee sector. The Colombian economy is characterized by a revenue function (Dixit and Norman’s GDP function) with three quasi-fixed inputs and three outputs. The characterization of...

This paper relies on data associated 2,100 agricultural land sale transactions across two major Nebraska Watersheds (the Republican and Central Platte) over the 2000 to 2008 time period. The sales were spatially referenced (digitized into a GIS) in order to quantify and geo-spatially predict and...