Effects of machinery‐sharing arrangements on farm efficiency: evidence from Sweden

Larsén, Karin

doi:10.1111/j.1574-0862.2010.00461.x

Cited by 44 publications

(41 citation statements)

References 24 publications

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“…Simar and Wilson 2007), the two stage analysis has been criticised to produce biased results: first in respect to producing DEA efficiency scores (existence of serial correlation because efficiency is assessed in relation to the efficiency frontier), and second in producing a heteroscedasticity problem in the regression analysis, where the error terms are explained to be correlated with the independent variables. However, in many studies (e.g Afonso and St. Aubyn 2006, Larsén 2010, Latruffe et al 2008, Manevska-Tasevska 2013, Manevska-Tasevska and Hansson 2011 covering different applications the common two-stage approach has not been found to produce substantially different results from the bootstrapped approach; especially with respect to the sign of the estimated coefficients and the statistical significance. Therefore we assume that this study fits to the common understanding as well.…”

Section: Measuring Resource Use Efficiency In Beef Productionmentioning

confidence: 99%

Input saving possibilities and practices contributing to more efficient beef production in Sweden

Manevska‐Tasevska

Hansson

Rabinowicz

2014

AFSci

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This study estimated the possibilities of reducing costs and improving input use in a sample of Swedish farms specialising in beef production. Input use efficiency was measured in a multi-output, multi-input distance function analysis, covering the period 2008-2011. For comparison, both the classical radial and the generalised non-parametric approach were used. The results revealed that on average, costs could be decreased by 20%. Both models constructed frontiers where: i) the rankings of farms according to efficiency were positively and highly correlated and ii) the size and the significance of the parameter estimates were similar. Input-saving technologies were found to be positively influenced by livestock density, pasture availability and the use of coupled income support. Larger farms, farms with higher specialisation in beef cattle, farms with a larger number of animals older than 2 years, farms converting to organic production, farms located in less favoured areas and farms located in regions with a shorter grazing period were found be less efficient.

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Section: Measuring Resource Use Efficiency In Beef Productionmentioning

confidence: 99%

Input saving possibilities and practices contributing to more efficient beef production in Sweden

Manevska‐Tasevska

Hansson

Rabinowicz

2014

AFSci

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“…The reason why the fixed capital consumption was expressed in values is the fact that the FADn system lacks detailed statistical data on machines and other equipment constituting the components of fixed capital (cf. Larsen 2010). in other studies (see Davidova and Latruffe 2007), the annual consumption of fixed capital apart from depreciation includes also other components, such as e.g.…”

Section: Datamentioning

confidence: 99%

Productivity and efficiency of large and small field crop farms and mixed farms of the old and new EU regions

Błażejczyk-Majka¹,

Kala²,

Maciejewski³

2012

AGR ECON-CZECH

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Abstract:The main aim of the paper is to consider the question whether a higher specialization and a bigger economic size class of farms determine a higher technical efficiency at the same scale for the farms from the new and old countries of the EU. This study is based on the data contained in the Farm Accounting Data network and covers the first four years following the extension of the European Union in 2004. The adopted units comprised average farms representing 80 regions belonging to eleven countries of the EU-15 and four new EU member states. The estimation of technical efficiency was conducted using the data envelopment analysis, separately for each of the two types of farms taking into account their economic size. The main findings indicate that the highest efficiency is achieved by the biggest farms, but those from the regions belonging to the new EU members at the same time had a low efficiency of scale, while those belonging to the countries of the EU-15 were operating at a scale close to the optimal. Moreover, it is confirmed that a longer period of farming under relatively stable conditions promotes a higher efficiency independently of the type of farm production. on the other hand, contrary to the relatively common opinion that a higher specialization promotes a higher efficiency, it was found that field crop farms in average are less efficient than mixed farms, although the difference between efficiencies decreases with an increase of their economic size.

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“…This is a very common practice in empirical analysis of technical efficiency (e.g. Odeck, 2007;Latruffe et al, 2008;Larsen, 2010). 6 The variables family to total labor and owned to total land may not be truly exogenous.…”

Section: Resultsmentioning

confidence: 99%

Technical efficiency of Greek olive growing farms: a robust approach with panel data

Kourtesi

Fousekis

Polymeros

2013

Span. j. agric. res.

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The assessment of technical efficiency (TE) provides information to managers and to policy makers about differences in performance among production units and the potential for improvements. Economic research on this important topic has evolved largely around two alternative approaches, namely, the parametric and the nonparametric. The first allows for random noise and, as a consequence, for some observations to lie outside the production set while the second assumes that all observations belong to the production set with probability equal to 1. The parametric models require restrictions on the shape of the production frontier (benchmark) and on the underlying data generation process (e.g. Stevenson, 1980;Battese & Coelli, 1988). Therefore, they lack robustness in cases where the functional forms of the frontier and/or the error structure are not correctly specified. The estimation of nonparametric frontier models has been, until recently, pursued through envelopment techniques such as the Data Envelopment Analysis (DEA) (Charnes et al., 1978) and the Free Disposal Hull (FDH) (Deprins et al., 1984) that are quite appealing since they rely on very few assumptions. They are, however, by construction quite sensitive to outliers or to extreme values. This is certainly an important problem when one is interested in assessing TE of production units in economic activities where the amount of output is subject to random shocks. In farming, for example, the level of realized output can be quite different from the planned one because of weather conditions and pest attacks.During the last decade considerable research effort has been devoted to the development of robust nonparametric efficiency estimators. Cazals et al. (2002) AbstractThe assessment of technical efficiency in the agricultural sector and the influence of exogenous (environmental) variables on the production process has been a major topic of economic research especially for managers and policy makers. The methological innovation of the present study involves the impact of environmental variables on efficiency and the utilization of panel data for the empirical analysis. This has been pursued using full nonparametric robust frontier techniques (the alpha-quantile estimator) and a panel data set of olive growing farms in Greece from the Farm Accountancy Data Network of the EU. According to the empirical results, the ratio of owned to total land, the ratio of family to total labor, the degree of specialization, and a farm's location have a statistically significant impact on performance, which is not constant but varies over the 2006 to 2009 period considered.

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Effects of machinery‐sharing arrangements on farm efficiency: evidence from Sweden

Cited by 44 publications

References 24 publications

Input saving possibilities and practices contributing to more efficient beef production in Sweden

Input saving possibilities and practices contributing to more efficient beef production in Sweden

Productivity and efficiency of large and small field crop farms and mixed farms of the old and new EU regions

Technical efficiency of Greek olive growing farms: a robust approach with panel data

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