A STOCHASTIC FRONTIER ANALYSIS TO EXAMINE RESEARCH PRIORITIES FOR GENETICALLY ENGINEERED PEANUTS

Autor:	Ermanno Affuso, Norbert W.L. Wilson, Diane Hite
Rok vydání:	2015
Předmět:	Economics and Econometrics business.industry Total cost food and beverages Biology Agricultural biotechnology Pesticide Agricultural and Biological Sciences (miscellaneous) Biotechnology Fungicide Stochastic frontier analysis Agriculture Resource management Allocative efficiency business
Zdroj:	Journal of Agricultural and Applied Economics. 47:359-381
ISSN:	2056-7405 1074-0708
DOI:	10.1017/aae.2015.10
Popis:	Pesticide applications are essential for peanut production to control insects, weeds, and other plant pathogens and for a profitable operation. We use a stochastic frontier analysis/primal system approach to test the hypothesis of the overuse of fungicides among peanut farmers. With nationally representative data available from the Agricultural and Resource Management Survey, we find evidence that U.S. peanut growers used excessive amounts of fungicides to prevent fungal infections. If those farmers adopt a new cultivar resistant to fungal pathogens, they could reduce the total cost of chemicals up to 36.2%. The reduction in fungicide use would have spillover environmental benefits.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::680dc6e9e1e2a1a95dbb2a261b24583d https://doi.org/10.1017/aae.2015.10 Zobrazit plný text záznamu