Influence of Geographical Effects in Hedonic Pricing Models for Grass-Fed Cattle in Uruguay

A - Papers appearing in refereed journals

Harris, P., Lanfanco, B., Lu, B. and Comber, A. 2020. Influence of Geographical Effects in Hedonic Pricing Models for Grass-Fed Cattle in Uruguay. Agriculture. 10, p. 299.

AuthorsHarris, P., Lanfanco, B., Lu, B. and Comber, A.

A series of non-spatial and spatial hedonic models of feeding and replacement cattle prices at video auctions in Uruguay (2002 to 2009) were specified with predictors measuring marketing conditions (e.g., steer price), cattle characteristics (e.g., breed) and agro-ecological factors (e.g., soil productivity, water characteristics, pasture condition, season). Results indicated that cattle prices produced under extensive production systems were influenced by all of predictor categories, confirming that found previously. Although many of the agro-ecological predictors were inherently spatial in nature, the incorporation of spatial effects into the estimation of the hedonic model itself, through either a spatially-autocorrelated error term or allowing the regression coecients to vary spatially and at different scales, was able to provide greater insight into the cattle price process. Through the latter extension, using a multiscale geographically weighted regression, which was the most informative and most accurate model, relationships between cattle price and predictors operated at a mixture of global, regional, local and highly local spatial scales. This result is considered a key advance, where uncovering, interpreting, and utilizing such rich spatial information can help improve the geographical provenance of Uruguayan beef and is critically important for maintaining Uruguay’s status as a key exporter of beef with respect to the health and safety benefits of natural, open-sky, grass-fed production systems.

KeywordsBeef cattle prices; Spatial regression; Multiscale; Provenance; MGWR
Year of Publication2020
Journal citation10, p. 299
Digital Object Identifier (DOI)
Web address (URL)
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Natural Environment Research Council
Funder project or codeBB/NO22408/1
S2N - Soil to Nutrition - Work package 2 (WP2) - Adaptive management systems for improved efficiency and nutritional quality
S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales
Publisher's version
Accepted author manuscript
Supplemental file
Output statusPublished
Publication dates
Online15 Jul 2020
Publication process dates
Accepted13 Jul 2020
Other fileInfluence%20of%20Geographical%20Effects%20in%20Hedonic%20Pricing%20Models%20for%20Grass-Fed%20Cattle%20in%20Uruguay.pdf

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