Economic and environmental implications of soil nitrogen testing: a switching-regression analysis

A simultaneous equations, or "switching-regression," model is developed to assess the impact of soil nitrogen (N) testing on N fertilizer use, crop yields, and net returns in corn growing areas of Nebraska. The results indicate that when there is uncertainty about the quantity of available...

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Bibliographic Details
Published in:American journal of agricultural economics 1995-11, Vol.77 (4), p.891-900
Main Authors: Fuglie, K.O. (ERS.), Bosch, D.J
Format: Article
Language:English
Subjects:
ABONOS NITROGENADOS
ADOPCION DE INNOVACIONES
ADOPTION DE L'INNOVATION
Agricultural economics
ANALISIS DE COSTOS Y BENEFICIOS
ANALISIS DEL SUELO
ANALYSE COUT AVANTAGE
ANALYSE DE SOL
AZOTE
Crop economics
Crop production
Crop yield
Crops
ENGRAIS AZOTE
Environmental policy
Fertilizers
GEOGRAFIA ECONOMICA
GEOGRAPHIE ECONOMIQUE
Irrigated soils
METHODE D'OPTIMISATION
METHODE STATISTIQUE
METODOS DE OPTIMIZACION
METODOS ESTADISTICOS
NEBRASKA
nitrogen fertilizer management
Nitrogen fertilizers
NITROGENO
Organic farming
POLITICA AMBIENTAL
POLITIQUE DE L'ENVIRONNEMENT
Q150
Q240
Q250
Regression analysis
RENDEMENT DES CULTURES
RENDIMIENTO DE CULTIVOS
RENTABILIDAD
RENTABILITE
Sand soils
Soil fertility
soil nitrogen testing
Soil quality
Soil resources
Soil texture
technology adoption
U.S.A
Water pollution
ZEA MAYS
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Description
Summary:A simultaneous equations, or "switching-regression," model is developed to assess the impact of soil nitrogen (N) testing on N fertilizer use, crop yields, and net returns in corn growing areas of Nebraska. The results indicate that when there is uncertainty about the quantity of available "carry-over" N, N testing enables farmers to reduce fertilizer use without affecting crop yields. However, the value of information from N tests depends critically on cropping history and soil characteristics. These findings have implications for environmental and technology transfer policies designed to reduce nonpoint source water pollution
ISSN:0002-9092
1467-8276
DOI:10.2307/1243812