Wine productivity per farm size: A maximum entropy application

Q1 Economics, Econometrics and Finance
Aníbal Galindro , Micael Santos , Cátia Santos , Ana Marta-Costa , João Matias , Adelaide Cerveira
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引用次数: 9

Abstract

The size of a farm is one of the factors that influence its productivity, in an ambiguous relationship that is often discussed in the industrial economy. In Portugal, the Demarcated Douro Region (DDR) is characterized by very small farms. Usually, this trend is considered a limitating factor in the profitability of the wine farms. In order to assess the correctness of this sentence, the variation of wine productivity per land size, from 2010 to 2016, was studied in the DDR, considering its three distinctive areas: Baixo Corgo, Cima Corgo and Douro Superior. The farms were categorized in nine different size ranges; as these variables outnumber the available seven observations, the Generalized Maximum Entropy (GME) estimator was used, since it suits the need to solve an ill-conditioned problem. GME was applied with the MATLAB (MATrix LABoratory) software along with the Bootstrap technique. According to the simulations, larger farms (with an area greater than 20 ha) on Douro Superior and Cima Corgo reveal higher marginal productivity given the current state of the region. On the other hand, Baixo Corgo's results suggest that medium-sized farms (with area ranges between 2 and 5 ha) display higher marginal increments to the region wine productivity.

每个农场的葡萄酒产量:最大熵应用
农场的规模是影响其生产力的因素之一,在工业经济中经常讨论一种模棱两可的关系。在葡萄牙,划定的杜罗地区(DDR)的特点是非常小的农场。通常,这种趋势被认为是葡萄酒农场盈利能力的限制因素。为了评估这句话的正确性,我们研究了2010年至2016年DDR每个土地面积的葡萄酒产量变化,考虑了其三个独特的地区:Baixo Corgo, Cima Corgo和Douro Superior。这些农场被分为九个不同的规模范围;由于这些变量的数量超过了可用的七个观测值,因此使用广义最大熵(GME)估计器,因为它适合解决病态问题的需要。GME应用于MATLAB (MATrix LABoratory)软件和Bootstrap技术。根据模拟,考虑到该地区目前的状况,Douro Superior和Cima Corgo的大型农场(面积大于20公顷)显示出更高的边际生产率。另一方面,Baixo Corgo的研究结果表明,中型农场(面积在2到5公顷之间)对该地区的葡萄酒产量表现出更高的边际增量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wine Economics and Policy
Wine Economics and Policy Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
2.20
自引率
0.00%
发文量
0
审稿时长
28 weeks
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