2021
DOI: 10.3390/economies9030116
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Transient and Persistent Efficiency and Spatial Spillovers: Evidence from the Portuguese Wine Industry

Abstract: This paper investigates the presence of spatial spillovers in firms’ productive (in)efficiency. For this purpose, a spatial stochastic frontier model is specified and estimated, accounting for spatial dependence and persistent and transient (in)efficiency. This approach is applied to a panel dataset from 2014 to 2019 of Portuguese wineries. Apart from the traditional input and output quantities used in the estimation of a production function, the novelty of this study is the inclusion of information on the fir… Show more

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Cited by 8 publications
(9 citation statements)
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“…The findings confirm the impact of repeated visits on the business results of wineries, but also on the business results of the entire region [59,60]. To improve business results, it is necessary to monitor changes in consumption [49], actually trends in customer perception [4].…”
Section: Discussionsupporting
confidence: 63%
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“…The findings confirm the impact of repeated visits on the business results of wineries, but also on the business results of the entire region [59,60]. To improve business results, it is necessary to monitor changes in consumption [49], actually trends in customer perception [4].…”
Section: Discussionsupporting
confidence: 63%
“…As the authors point out, the wine production in Serbia has potential [2,56], but additional financial resources are needed [4,61]. Stable production [1,3], i.e., volume growth (liters) is the most important component of the financial performance (FP) of the wineries (FP3 = 0.877), along with the overall profitability of this winery (path coefficient FP4 = 0.811).…”
Section: Discussionmentioning
confidence: 99%
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“…The SFA studies on the wine sector applied both cross-sectional and panel data. The estimated mean TE scores may vary within countries; see 0.51 and 0.58 for Portugal in the period 2014-2019 (Faria et al, 2021) and 0.67/0.68 in 2017 (Santos et al, 2021a(Santos et al, , 2021b and between countries 0.79 for Australia in the period 2006-2010 (Coelli and Sanders, 2013) and for Italy in the year 2017 (Cisilino et al, 2021). Differences within Portugal can be explained by different factors.…”
Section: Introductionmentioning
confidence: 99%