The Importance of Subsidies in Azorean Dairy Farms’ Efficiency

Silva, Emiliana; Marote, Eusébio

doi:10.1007/978-94-007-5739-4_11

Cited by 8 publications

(10 citation statements)

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“…In some papers, subsidies are also considered as an additional output to the traditional farm outputs used in the efficiency calculation (e.g. Silva, Arzubi and Berbel 2004;Hadley 2006;Rasmussen 2010;Silva and Marote 2013). The latter approach can however not accurately account for subsides, since it implies that, for a similar input use, farms receiving subsidies produce more in value than farms not receiving subsidies.…”

Section: Overview Of the Ways Of Estimating The Link Between Farmmentioning

confidence: 99%

Effect of public subsidies on farm technical efficiency: a meta-analysis of empirical results

Minviel¹,

Latruffe²

2016

Applied Economics

163

134

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Investigating the impact of public subsidies on farm technical efficiency is becoming a critical issue in applied agricultural policy analysis. This article presents a meta-analysis of empirical results on this issue, based on data gathered from a systematic literature review. We find that, in the empirical literature, subsidies are commonly negatively associated with farm technical efficiency. Meta-regression estimation results show that the direction (significantly negative, significantly positive or non-significant) of the observed effects is sensitive to the way subsidies are modelled in the empirical studies.

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Section: Overview Of the Ways Of Estimating The Link Between Farmmentioning

confidence: 99%

Effect of public subsidies on farm technical efficiency: a meta-analysis of empirical results

Minviel¹,

Latruffe²

2016

Applied Economics

163

134

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“…These two concepts, forms the concept of economic efficiency (Coelli, 1996). Both are very useful to support decision-making because they give an indication of the main characteristics for an efficient farm and how some of the problems identified may be solved (Silva and Marote, 2013). such us, the farms number, the input and output number of variables, the benchmarking firms, the homogeneity of farms, the animal grazing system efficiency (Mendes et al, 2013) and then, the comparisons should be done carefully.…”

Section: Efficiency Of Dairy Farming: Brief Reviewmentioning

confidence: 99%

Efficiency of the Dairy Farms: A Study from Azores (Portugal)

Silva

Almeida²,

Marta-Costa

2018

European Countryside

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Azores dairy represents 30% of Portuguese production. The farms are dominated by family nature and a relevant part of them are an exclusive source of the producer's income. Nowadays, the milk production has some problems due to the falling prices of milk on the producer and the European milk quotes abolishment. This situation requires the assessment of the Azorean dairy farms efficiency as a way to rationalize the use of the factors of production for the milk production. The aim of this research is to estimate the Technical Efficiency (TE) in two different groups of farms, of which the used criteria were to earn incomes exclusively from farm (Full-Time Farmer, FTF) or to have another complementary source of income (Partial-Time Farmer, PTF). The farms database was provided by a farmers' association and the Data Envelopment Analysis (DEA) was chosen for modelling TE estimation. The main findings show the inexistence of substantial differences in the farms performance with or without complementary sources of income (0.679 for PTF and 0.689 for FTF). However, the most efficient farms are related with the main source of income.

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“…This assumption is likely to be very restrictive regarding public subsidies, since it is theoretically demonstrated that public subsidies may influence the inputoutput space (see Hennessy, 1998;Serra et al, 2006;Ciaian and Swinnen, 2009). Second, likely to account for this theoretical fact, a number of papers, using SFA or DEA, model subsidies as input or as output (see Silva et al, 2004;Hadley, 2006;Kroupová and Malý, 2010;Malá et al, 2011;Trnková et al, 2012;Rasmussen, 2010;Silva and Marote, 2013;Mamardashvili et al, 2016).…”

Section: Introductionmentioning

confidence: 99%