Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 419164
Title Farmland Preservation Verdicts - Rezoning Agricultural Land in British Columbia
Author(s) Stobbe, T.; Eagle, A.J.; Cotteleer, G.; Kooten, G.C. van
Source Canadian Journal of Agricultural Economics 59 (2011)4. - ISSN 0008-3976 - p. 555 - 572.
DOI https://doi.org/10.1111/j.1744-7976.2011.01228.x
Department(s) Agricultural Economics and Rural Policy Group
Environmental Economics and Natural Resources Group
WASS
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) values - prices - conservation - rights - space
Abstract The Agricultural Land Reserve (ALR) in British Columbia (BC), Canada, is a provincial zoning scheme designed to protect agricultural land from development. Since 1973, landowners have not been permitted to use ALR land for nonagricultural purposes, prompting some to seek recovery of development option value by applying for exclusion from the ALR. Using Geographic Information System (GIS) technology and a binary choice (logit) model, this study examines factors that impact the acceptance of ALR exclusion applications. With data from two regions in southwestern BC, we find that applications are more likely to be approved when the land is closer to the major highway, has a smaller parcel size, consists of a smaller portion of the total parcel area, or has poorer quality soils. Therefore, as intended by public policy, agricultural capability is a key determinant in exclusion decisions, retaining properties of greater agricultural value in the ALR. Even though public opinion has suggested otherwise, the political party in power at the time of the decision was only a weak factor, mostly moderated by the number of applications in a given year. A spatial-effects model found no evidence of spatial autocorrelation, supporting the conclusions drawn from the nonspatial model estimations.
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