A stochastic programming analysis of the farm level implications of soil erosion control.

E. Segarra; R. A. Kramer; D. B. Taylor

doi:10.1017/s0081305200025140

A stochastic programming analysis of the farm level implications of soil erosion control.

E. Segarra, R. A. Kramer, D. B. Taylor

Agricultural and Applied Economics

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

A disaggregated approach was used because of an interest in examining the impact of probabilistic soil loss constraints on farm level decisionmaking. A stochastic programming model was used to consider different levels of probability of soil loss. Traditional methods of analysis are shown to consistently overestimate net returns.-Authors

Original language	English
Pages (from-to)	147-154
Number of pages	8
Journal	Southern Journal of Agricultural Economics
Volume	17
Issue number	2
DOIs	https://doi.org/10.1017/s0081305200025140
State	Published - 1985

Access to Document

10.1017/s0081305200025140

Cite this

@article{e2a9b24eadb445eca930e12af53ad330,

title = "A stochastic programming analysis of the farm level implications of soil erosion control.",

abstract = "A disaggregated approach was used because of an interest in examining the impact of probabilistic soil loss constraints on farm level decisionmaking. A stochastic programming model was used to consider different levels of probability of soil loss. Traditional methods of analysis are shown to consistently overestimate net returns.-Authors",

author = "E. Segarra and Kramer, {R. A.} and Taylor, {D. B.}",

year = "1985",

doi = "10.1017/s0081305200025140",

language = "English",

volume = "17",

pages = "147--154",

journal = "Southern Journal of Agricultural Economics",

number = "2",

}

TY - JOUR

T1 - A stochastic programming analysis of the farm level implications of soil erosion control.

AU - Segarra, E.

AU - Kramer, R. A.

AU - Taylor, D. B.

PY - 1985

Y1 - 1985

N2 - A disaggregated approach was used because of an interest in examining the impact of probabilistic soil loss constraints on farm level decisionmaking. A stochastic programming model was used to consider different levels of probability of soil loss. Traditional methods of analysis are shown to consistently overestimate net returns.-Authors

AB - A disaggregated approach was used because of an interest in examining the impact of probabilistic soil loss constraints on farm level decisionmaking. A stochastic programming model was used to consider different levels of probability of soil loss. Traditional methods of analysis are shown to consistently overestimate net returns.-Authors

UR - http://www.scopus.com/inward/record.url?scp=0022237827&partnerID=8YFLogxK

U2 - 10.1017/s0081305200025140

DO - 10.1017/s0081305200025140

M3 - Article

AN - SCOPUS:0022237827

VL - 17

SP - 147

EP - 154

JO - Southern Journal of Agricultural Economics

JF - Southern Journal of Agricultural Economics

IS - 2

ER -

A stochastic programming analysis of the farm level implications of soil erosion control.

Abstract

Access to Document

Other files and links

Fingerprint

Cite this