A Meta-Analysis of Technical Efficiency in Aquaculture

Iliyasu, Abdullahi; Mohamed, Zainal Abidin; Ismail, Mohd Mansor; Abdullah, Azizol

doi:10.1080/10454438.2014.959829

Cited by 20 publications

(44 citation statements)

References 36 publications

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“…Since DEA MTEs were earlier found to be lower than SFA, the MTEs of distance functions certainly have overshadowed the effect of MTEs from DEA to produce this fi nding. While previous studies showed MTE from translog are higher than those from Cobb-Douglas functions (Bravo-Ureta, 2007;Moreira Lopez and Bravo-Ureta, 2009), recent studies provide contrary evidence, that is, translog functional forms generate lower MTEs than MTEs estimated from Cobb-Douglas functions (Iliyasu et al, 2014;Ogundari, 2014). Since Ogundari (2014) used a logit fractional regression model, his conclusions corroborate that of this study.…”

Section: Discussion Of Selected Estimated Modelsupporting

confidence: 77%

“…The statistically insignifi cant parameters imply MTE for OA have not increased signifi cantly over the period. The fi nding of a non-increasing MTE over time for organic agriculture is not different from the earlier conclusions of Thiam et al (2001) and Iliyasu et al (2014) for CA. Indeed, in the literature, multi-country meta-analysis of TE has shown either stagnation or decline in MTE over time.…”

Section: Discussion Of Selected Estimated Modelsupporting

confidence: 38%

“…Theoretically, the error term in SFA is composed such that not all the error in the SFA model is attributable to TE, and hence TE calculated with SFA does not capture noise and thus is always higher than TE calculated with DEA. Iliyasu et al (2014), however, found a negative sign for the SFA variable while Thiam et al (2001) showed a statistically insignifi cant parameter. Following from the results of the SFA and DEA, MTEs from distance functions are higher than those of DEA but lower than those of SFA.…”

Section: Discussion Of Selected Estimated Modelmentioning

confidence: 91%

“…Thiam et al (2001), Bravo-Ureta et al (2007), Moreira Lopez and Bravo-Ureta (2009), Ogundari and Brümmer (2011), Iliyasu et al (2014) and Ogundari (2014) conducted meta-regression on TE in agriculture which focused on CA. However, this article assesses the variations in reported MTE in OA.…”

Section: Introductionmentioning

confidence: 99%

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Technical efficiency of organic agriculture: a quantitative review

Djokoto¹

2015

Stud. Agr. Econ.

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Technical effi ciency of organic agriculture: a quantitative reviewThis article examines the variations in mean technical effi ciency estimates in organic agriculture and the factors that explain the observed variations. A three-stage process was employed in data collection. Firstly, journals on organic agriculture and related disciplines were identifi ed and searched. Secondly, several publishers' websites and databases, namely Cambridge Journals, Elsevier, Emerald, Oxford University Press, Sage, Taylor and Francis, and Wiley, among others, were covered. Databases included AgEcon Search, CAB Abstracts, DOAJ, EBSCOhost, Google Scholar and ScienceDirect. Thirdly, the reference lists of studies found in the fi rst and second stages were searched to identify additional literature. In all, 42 studies constituting 109 observations published in the period 2002-2014 were found. Unlike existing literature on technical effi ciency quantitative reviews in agriculture, this article employs a battery of tests to select the appropriate solution for multiple observations from the same primary study, as well as the appropriate functional form for the selected fractional regression model. The mean technical effi ciency of organic agriculture for the period of study and the effects of other study characteristics are thoroughly discussed.

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Section: Discussion Of Selected Estimated Modelsupporting

confidence: 77%

Section: Discussion Of Selected Estimated Modelsupporting

confidence: 38%

Section: Discussion Of Selected Estimated Modelmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Technical efficiency of organic agriculture: a quantitative review

Djokoto¹

2015

Stud. Agr. Econ.

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“…Iliyasu et al . () aimed at explaining the variability observed in 36 efficiency papers on aquaculture. Fan et al .…”

Section: Meta‐analysis Of Local Government Efficiencymentioning

confidence: 99%

Explaining Differences in Efficiency: A Meta‐study on Local Government Literature

Aiello

Bonanno

2019

Journal of Economic Surveys

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This paper reviews the literature on local government efficiency by meta‐reviewing 360 observations retrieved from 54 papers published from 1993 to 2016. The meta‐regression is based on a random‐effects model estimated with the two‐step random‐effects maximum likelihood (REML) technique proposed by Gallet and Doucouliagos. Results indicate that the study design matters when estimating a frontier in local government. We find that studies focusing on technical efficiency provide higher efficiency scores than works evaluating cost efficiency. The same applies when using panel data instead of cross‐section data. Interestingly, studies that use the Free Disposal Hull (FDH) approach yield, on average, higher efficiency scores than papers employing the data envelopment analysis (DEA) method, thereby suggesting that in this literature the convexity hypothesis of the production set is a matter. Finally, the efficiency of local government increases with the level of development of the analysed countries and is positively related to the national integrity of the legal system. The opposite holds when considering the corruption.

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Technical Efficiency in Agribusiness: A Meta‐Analysis on Ghana

Djokoto

Gidiglo

2016

Agribusiness

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The few meta-analyses published on efficiency in agriculture focused on traditional agriculture to the neglect of agribusiness. This article presents a meta-analysis on agribusiness using Ghana as a case. Databases including AgEconsearch, Google scholar, EBSCOHost, EmeraldInsight, and Wiley online Library among others were searched in order to identify published studies relating to the subsectors of agribusiness. The selected loglog fractional regression model revealed that mean technical efficiency (MTE) increased over time with a mean value of 62%. MTEs of geographical sections of Ghana are also similar. Time series models possess higher MTE than panel data MTEs. In line with theory, models without functional forms and distance functions elicited higher MTE than Cobb-Douglas and translog functions. Nontraditional agricultural production showed higher MTE than traditional agriculture. MTEs in the production subsector do not differ from those in the manufacturing subsector. While this indifference suggests that value adding manufacturing subsector is as efficient as the primary production agriculture, and the increasing MTE notwithstanding, efficiency improving measures including training in farm management are required to make up for the mean difference of 38% found. [JEL Classification: Q13]. C 2016 Wiley Periodicals, Inc.

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A Meta-Analysis of Technical Efficiency in Aquaculture

Cited by 20 publications

References 36 publications

Technical efficiency of organic agriculture: a quantitative review

Technical efficiency of organic agriculture: a quantitative review

Explaining Differences in Efficiency: A Meta‐study on Local Government Literature

Technical Efficiency in Agribusiness: A Meta‐Analysis on Ghana

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