A Study of Dairy Farm Technical Efficiency Using Meta-Regression: An International Perspective

López, Víctor H Moreira; Bravo‐Ureta, Boris E.

doi:10.4067/s0718-58392009000200011

Cited by 26 publications

(33 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Putting the estimated efficiency scores for the 4 groups in context with the rich literature on dairy farm efficiency, we found the class-average scores to be relatively high [see Bravo-Ureta et al (2007) and Moreira López and Bravo-Ureta (2009)]. We attributed this finding mainly to the methodological design of the study, which mitigated the confusion of technological heterogeneity with technical inefficiency (see also Alvarez and del Corral, 2010).…”

Section: Technical Efficiencymentioning

confidence: 78%

Dairy farming on permanent grassland: Can it keep up?

Kellermann

Salhofer

2014

Journal of Dairy Science

View full text Add to dashboard Cite

Based on an extensive data set for southern Germany, we compared the productive performance of dairy farms that operate solely on permanent grassland and dairy farms using fodder crops from arable land. We allowed for heterogeneous production technologies and identified more intensive and extensive production systems for both types of farms, whereby we based our notion of intensive versus extensive dairy production on differences in stocking density and milk yield per cow and year. To be able to compare the productivity levels and productivity developments of the various groups of farms, we developed a group- and chain-linked multilateral productivity index. We also analyzed how technical change, technical efficiency change, and a scale change effect contribute to productivity growth between the years 2000 and 2008. Our results revealed that permanent grassland farms can generally keep up with fodder-crop farms, even in an intensive production setting. However, extensively operating farms, especially those on permanent grassland, significantly lag behind in productivity and productivity change and run the risk of losing ground.

show abstract

Section: Technical Efficiencymentioning

confidence: 78%

Dairy farming on permanent grassland: Can it keep up?

Kellermann

Salhofer

2014

Journal of Dairy Science

View full text Add to dashboard Cite

show abstract

“…As reported by Olesen et al (1996), the effect of estimation methods are still controversial, an issue confirmed by the results reported by Rivas (2003), Moreira López (2006), Bravo-Ureta et al (2007) and Moreira López and Bravo-Ureta (2009). Thus, the following hypotheses are put forward:…”

Section: Literature Review and Hypothesis Formulationmentioning

confidence: 83%

“…The studies of Rivas (2003), Moreira López (2006), Bravo-Ureta et al (2007) and Moreira López and Bravo-Ureta (2009) examine the effects of methodology on reported TE measures.…”

Section: Literature Review and Hypothesis Formulationmentioning

confidence: 99%

Systematic review and meta-regression analysis of technical efficiency in dairy farms

Mareth

Thomé

Oliveira

et al. 2016

International Journal of Productivity and Performance Management

View full text Add to dashboard Cite

Purpose -The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE). Design/methodology/approach -The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed. Findings -The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers. Originality/value -This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement. Fraser and Cordina, 1999). Understanding the factors affecting Technical Efficiency (TE) is vital to improve efficiency and performance. TE was defined by Farrell (1957) in two ways: first, the ability of firms to produce the maximum feasible output with a given bundle of inputs (output oriented); or second, the ability of firms to use minimum inputs to produce a given level of outputs (input oriented).Measuring efficiency and the potential sources of inefficiency are, therefore, important because they are the first step in a process that may lead to a substantial resource savings. These resource savings have important implications for both policy formulation and farm management. Producers benefit directly from gains in efficiency because efficient farms tend to generate higher incomes and thus have a better chance of surviving and staying in business (Bravo-Ureta and Rieger, 1991;Moreira López, 2006). On the other hand, policymakers could use this knowledge to identify and target public interventions to improve productivity and the competitiveness of dairy farms (Bravo-Ureta and Rieger, 1991;Solís et al., 2009;Chidmi et al., 2010).Different methodologies and strategies to measure TE produce contradictory results. Resti (2000) simulated the application of parametric and non-parametric techniques, concluding that there is no clear advantage of one method over the other. However, empirical studies by Sharma et al. (1999) and Solís (2005) have shown that the selection of a specific methodology can affect TE measure. Several authors have discussed the advantages and limitations of different methodological approaches (...

show abstract

“…Table 7 Despite the large number of frontier models developed to improve measures of TE, there is no agreement as to the most appropriate methodology (Olesen, et al, 1996). The studies of (Rivas, 2003;Moreira López, 2006;Bravo-Ureta, et al, 2007;Moreira López & Bravo-Ureta, 2009) examine the effects of methodology on reported TE measures.…”

Section: Data Description and Hypothesismentioning

confidence: 99%

“…Meta-analysis is an approach that uses published empirical estimates of some indicator and attempts to explain the variation of these estimates based on differences cross studies (Stanley & Jarrell, 1989). The procedures employed in meta-analysis permit quantitative reviews and syntheses of studies examining similar research issues (Rivas, 2003;Moreira López, 2006;Bravo-Ureta, et al, 2007;Moreira López & Bravo-Ureta, 2009 Model I:…”

Section: Meta-regression Analysismentioning

confidence: 99%

Technical Efficiency in Dairy Farms: Research Synthesis and an Application in the South of Brazil

MARETH¹

View full text Add to dashboard Cite

A Study of Dairy Farm Technical Efficiency Using Meta-Regression: An International Perspective

Cited by 26 publications

References 22 publications

Dairy farming on permanent grassland: Can it keep up?

Dairy farming on permanent grassland: Can it keep up?

Systematic review and meta-regression analysis of technical efficiency in dairy farms

Technical Efficiency in Dairy Farms: Research Synthesis and an Application in the South of Brazil

Contact Info

Product

Resources

About