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

Influence of Geographical Effects in Hedonic Pricing Models for Grass-Fed Cattle in Uruguay
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DOI:
10.3390/agriculture10070299
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发表时间:
2020-07
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影响因子:
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通讯作者:
P. Harris;B. Lanfranco;Binbin Lu;A. Comber
P. Harris;B. Lanfranco;Binbin Lu;A. Comber
中科院分区:
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文献类型:
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作者:
P. Harris;B. Lanfranco;Binbin Lu;A. Comber

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乌拉圭视频拍卖(2002年至2009年)中饲养和替换牛价格的一系列非空间和空间享乐模型被指定为测量营销条件的预测因素(例如,阉牛价格),牛的特征(例如,品种)和农业生态因素(例如,土壤生产力、水分特征、牧草条件、季节)。结果表明,在广泛的生产系统下生产的牛的价格受到所有的预测类别,证实了以前发现。虽然许多农业生态预测因素本质上是空间性的,但通过空间自相关误差项或允许回归系数在空间上和不同尺度上变化,将空间效应纳入享乐模型本身的估计中,能够更深入地了解牛的价格过程。通过后一种扩展,使用多尺度地理加权回归,这是最翔实和最准确的模型,牛的价格和预测之间的关系在全球,区域,地方和高度本地化的空间尺度的混合物。这一结果被认为是一个关键的进步,发现,解释和利用这些丰富的空间信息可以帮助改善乌拉圭牛肉的地理来源,对于保持乌拉圭作为牛肉主要出口国的地位至关重要,因为自然,露天,草饲生产系统的健康和安全效益。
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 coefficients 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.