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This paper shows that the response of agricultural commodity prices in the U.S. related to fluctuations in oil prices in the international market may differ greatly depending on whether the increase is driven by demand or supply shocks in the crude oil market. In the long-run, around 2-7 percent...
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Tornquist input quantity indexes derived from USDA/SRS/FEDS survey data along with yield data are used to derive total and partial factor productivity measures across time and region for a sample of representative u.s. cotton enterprises. Total factor productivity for u.s. cotton increased only...
Persistent link: https://www.econbiz.de/10010879056
We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelve states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons for adoption/nonadoption of...
Persistent link: https://www.econbiz.de/10010881052
Between 1974 and 1983, intertemporal cost efficiency for u.s. field crops increased about 1.4 to 1.2% percent for corn, soybeans, and wheat and .2% per year for cotton. competitive advantage in 1983 was held by central Illinois and north central Iowa in corn, central Illinois in soybeans, the...
Persistent link: https://www.econbiz.de/10010909983
Improved software now makes Bayesian estimation a strong alternative to nonlinear maximum likelihood. Bayesian methods were used to estimate a linear response stochastic plateau for cotton and were shown to provide estimates similar to maximum likelihood. Optimal levels of nitrogen were lower...
Persistent link: https://www.econbiz.de/10010914977
The surge in basic food commodity prices in 2007/08 and again in 2011, have led to a renewed focus among governments and donors on agricultural growth, especially in staple food production in Sub-Saharan Africa. It is widely agreed that smallholder-led agricultural growth would contribute most...
Persistent link: https://www.econbiz.de/10010915945
The objective of this article is to propose the use of moment functions and maximum entropy techniques as a flexible way to estimate conditional crop yield distributions. We present a moment based model that extends previous approaches in several dimensions, and can be easily estimated using...
Persistent link: https://www.econbiz.de/10010916419
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