A measurement of firm- and input-specific technical and allocative effiencies

Kalirajan, Kaliappa; Obwona, Marios

doi:10.1080/00036849400000085

Cited by 34 publications

(41 citation statements)

References 14 publications

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“…In these studies, it is assumed that the production frontier of all firms are the same and deterministic, and any deviation from that frontier is caused by differences in efficiency. The concept of the stochastic production frontier was introduced and developed by Aigner et al (1977), Battese and Corra (1977), Meeusen and van Den Broeck (1977), Lee and Tyler (1978), Pitt and Lee (1981), Jondrow (1982), Kalirajan and Flinn (1983), Bagi and Huang (1983), Schmidt and Sickles (1984), Waldman (1984) and Battese and Coelli (1988).…”

Section: Introductionmentioning

confidence: 99%

A robust DEA model for measuring the relative efficiency of Iranian high schools

Gharakhani¹,

Kazemi²,

Haji³

2011

msl

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One of the most important issues on educational systems is to measure the relative efficiency of similar units based on non-financial factors. Data envelopment analysis (DEA) has become popular among many who wish to rank educational systems using different factors such as the rate of educational success or the number of employees, etc. However, one of the main concerns on implementing DEA methods is the uncertainty involved in input/output parameters. In this paper, a robust data envelopment analysis (RDEA) is developed to measure the efficiency of high schools considering uncertainty on output parameters. We present an empirical study on a set of high schools located in Tehran, which is the capital city of Iran. The study uses uncertain data for input/output information and the results are compared with an existing parametric stochastic frontier analysis (SFA). The preliminary results indicate that the robust DEA approach is relatively a reliable method for efficiency estimating.

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Section: Introductionmentioning

confidence: 99%

A robust DEA model for measuring the relative efficiency of Iranian high schools

Gharakhani¹,

Kazemi²,

Haji³

2011

msl

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“…However, it is very restrictive. In spite of this limitation it is frequently used to estimate firm efficiency (Kalirajan & Obwona, 1994;Yilma, 1996;Battese & Safraz, 1998). On the other hand, the translog specification provides a more flexible approach to estimation of efficiency.…”

Section: Specification and Estimationmentioning

confidence: 99%

Profit efficiency of small- and medium-scale maize milling enterprises in South Africa

Abu

Kirsten

2009

Development Southern Africa

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“…The variable X 1 includes all cultivated land, X 2 includes family and hired labor measured in worker-days, X 3 represents fertilizer measured in 100 pound units (cwt), X 4 corresponds to total expenditures on small farm tools for the year, and X 5 is the value of seed and draft power used in the production process. The explanatory variables included in this model have been commonly used in estimating agricultural production frontiers for developing countries (Belbase and Grabowski 1985;Kalirajan 1981Kalirajan , 1984Kalirajan and Flinn 1983;Kalirajan and Shand 1985;Phillips and Marble 1986;Rawlins 1985;Taylor and Shonkwiler 1986;Taylor, Drummond, and Gomes 1986).…”

Section: The Data and The Empirical Production Frontier Modelmentioning

confidence: 99%

“…The last explanatory variable, PEOP, is the natural logarithm of the number of people in the household including the household head. The variables included in equation (15) are those usually incorporated in analyses of this type (Belbase and Grabowski 1985;Bravo-Ureta and Evenson 1994;Huang and Bagi 1984;Hussain 1989;Kalirajan and Flinn 1983;Squires and Tabor 1991). The models for TE, AE, and EE in equation (15) are estimated separately using the two-limit tobit procedure, given that the efficiency indices are bounded between 0 and 100 (Greene 1991;Hossain 1988).…”

Section: Efficiency (%)mentioning

confidence: 99%

Technical, Economic, and Allocative Efficiency in Peasant Farming: Evidence From the Dominican Republic

Bravo‐Ureta¹,

Pinheiro²

1997

The Developing Economies

200

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This paper presents measures of technical (TE), economic (EE), and allocative (AE) efficiency for a sample of sixty peasant farmers in the Dajabon region of the Dominican Republic. Maximum likelihood techniques are used to estimate a Cobb‐Douglas production frontier, which is then used to derive its corresponding dual cost frontier. These frontiers are the basis for obtaining farm level efficiency estimates. The results reveal average levels of TE, AE, and EE equal to 70 per cent, 44 per cent, and 31 per cent, respectively. In a second step analysis, two‐limit tobit regression techniques are used to estimate three separate equations where TE, EE, and AE are expressed as functions of the following farm/farmer characteristics: contract farming, agrarian reform status, farm size, schooling, producer's age, and household size.

show abstract

A measurement of firm- and input-specific technical and allocative effiencies

Cited by 34 publications

References 14 publications

A robust DEA model for measuring the relative efficiency of Iranian high schools

A robust DEA model for measuring the relative efficiency of Iranian high schools

Profit efficiency of small- and medium-scale maize milling enterprises in South Africa

Technical, Economic, and Allocative Efficiency in Peasant Farming: Evidence From the Dominican Republic

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