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Agricultural land markets in U.S. urban-fringe counties

Greene, Catherine R. / Barnard, Charles H.

AbstractA multivariate interaction detection model was used to assign urban-influenced counties into statistically-optimal groups. The groups delineated 3 types of farmland markets within the predefined set of counties. From a set of county-level variables representing farm and non-farm factors, the procedure found 3 farm-related factors, agricultural sales acre^-1, farm income acre^-1 and farm size, to be important in explaining the variation in average farmland values among the urban-influenced counties. The results imply a diversity among urban-influenced counties that is not accounted for in aggregate analyses that use a simple dichotomy between rural and urban counties.

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Agricultural land markets in U.S. urban-fringe counties

Greene, Catherine R. / Barnard, Charles H.

AbstractA multivariate interaction detection model was used to assign urban-influenced counties into statistically-optimal groups. The groups delineated 3 types of farmland markets within the predefined set of counties. From a set of county-level variables representing farm and non-farm factors, the procedure found 3 farm-related factors, agricultural sales acre^-1, farm income acre^-1 and farm size, to be important in explaining the variation in average farmland values among the urban-influenced counties. The results imply a diversity among urban-influenced counties that is not accounted for in aggregate analyses that use a simple dichotomy between rural and urban counties.

Agricultural land markets in U.S. urban-fringe counties

Greene, Catherine R. / Barnard, Charles H.

AbstractA multivariate interaction detection model was used to assign urban-influenced counties into statistically-optimal groups. The groups delineated 3 types of farmland markets within the predefined set of counties. From a set of county-level variables representing farm and non-farm factors, the procedure found 3 farm-related factors, agricultural sales acre^-1, farm income acre^-1 and farm size, to be important in explaining the variation in average farmland values among the urban-influenced counties. The results imply a diversity among urban-influenced counties that is not accounted for in aggregate analyses that use a simple dichotomy between rural and urban counties.

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Title:

Agricultural land markets in U.S. urban-fringe counties

Contributors:

Greene, Catherine R. (author) / Barnard, Charles H. (author)

Published in:

Landscape and Urban Planning ; 16 ; 293-301

Publication date:

1988-01-01

Size:

9 pages

ISSN:

DOI:

https://doi.org/10.1016/0169-2046(88)90002-3

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

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