Water conservation in irrigated agriculture: a stochastic production frontier model

A stochastic production frontier model of irrigation is used to analyze sources of economic inefficiency in irrigation practices of Nebraska corn producers and the extent that field information from soil moisture monitoring, commercial scheduling and/or weather reports increases economic efficiency....

Full description

Saved in:
Bibliographic Details
Published in:Water resources research 1992-02, Vol.28 (2), p.305-312
Main Authors: McGuckin, J.T. (New Mexico State University, Las Cruces), Gollehon, N, Ghosh, S
Format: Article
Language:English
Subjects:
ALASKA
CONSERVACION DE AGUAS
CONSERVATION DE L'EAU
EFFICACITE
EFICACIA
ENCUESTAS
ENQUETE
FONCTION DE PRODUCTION
FUNCIONES DE LA PRODUCCION
IRRIGATION
MODELE MATHEMATIQUE
MODELOS MATEMATICOS
RIEGO
USO DEL AGUA
UTILISATION DE L'EAU
ZEA MAYS
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A stochastic production frontier model of irrigation is used to analyze sources of economic inefficiency in irrigation practices of Nebraska corn producers and the extent that field information from soil moisture monitoring, commercial scheduling and/or weather reports increases economic efficiency. The results indicate that farm irrigation practices have an average technical efficiency of 81% (defined as the ratio of actualized production to maximum potential production for a level of inputs). Field information from moisture sensors can improve technical efficiency by 3.9%. The value of information provided by moisture sensors depends on the technical efficiency of the farmer and ranges from $58.23 per hectare for an efficient farmer to $40.29 for an inefficient producer. The elasticity of derived demand for water is estimated to be -1.095
ISSN:0043-1397
1944-7973
DOI:10.1029/91WR02676