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Factors affecting private rangeland lease rates
Author
Vantassell, L. W.
McNeley, S. M.
Publisher
Society for Range Management
Publication Year
1997-03-01
Body

Private rangeland lease rates have been used historically as an indication of the price of public grazing lease rates. The ability of these prices to adequately reflect short-term fluctuations in the rancher's ability to pay for forage has been questioned by policy makers and researchers. Multiple regression techniques were used in this study to evaluate how responsive private rangeland lease rates have been to short-term (yearly) fluctuations in market conditions. Independent variables included yearling prices, cattle numbers, hay prices, production cost index, land prices, forage condition index, and the previous year's lease rate. Yearling prices lagged 1 year, hay prices, production cost index lagged 1 year, and lease rates lagged 1 year statistically (P < 0.10) explained lease rates. The previous year's lease rate was the most influential explanatory variable, with more than half of the previous year's lease price reflected in the current year's rate. Statistically significant (P < 0.10) differences in lease rates were also found between western regions. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2307/4002378
Additional Information
Vantassell, L. W., & McNeley, S. M. (1997). Factors affecting private rangeland lease rates. Journal of Range Management, 50(2), 178-184.
ISSN
0022-409X
OAI Identifier
oai:repository.arizona.edu:10150/644101
Journal Volume
50
Journal Number
2
Journal Pages
178-184
Collection
Rangeland Ecology & Management (REM)
Journal Name
Journal of Range Management
Keywords
leasing
price policy
forage value index
grazing tenancy
prices
production costs
indexes
regression analysis
hay
rangelands
beef cattle