International Applications of Productivity and Efficiency Analysis 1992
DOI: 10.1007/978-94-017-1923-0_6
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Productivity Changes in Swedish Pharamacies 1980–1989: A Non-Parametric Malmquist Approach

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Cited by 302 publications
(372 citation statements)
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“…The original idea of the Malmquist index was proposed by Malmquist (1953), who suggested comparing the input of a firm at two different points of time in terms of the maximum factor by which the input in one period could be decreased such that the firm could still produce the same output level of the other time period. Caves et al (1982) extended the original Malmquist input index and introduced the first type of the Malmquist index, and then Fare et al (1992) showed that the Malmquist index can be calculated using a nonparametric DEA-like approach, given that suitable panel data are available and they applied DEA for measuring the Malmquist index. They assumed constant returns to scale and identified the technological change and the change of technical efficiency as two components of the productivity changes over time.…”
Section: Malmquist Indexmentioning
confidence: 99%
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“…The original idea of the Malmquist index was proposed by Malmquist (1953), who suggested comparing the input of a firm at two different points of time in terms of the maximum factor by which the input in one period could be decreased such that the firm could still produce the same output level of the other time period. Caves et al (1982) extended the original Malmquist input index and introduced the first type of the Malmquist index, and then Fare et al (1992) showed that the Malmquist index can be calculated using a nonparametric DEA-like approach, given that suitable panel data are available and they applied DEA for measuring the Malmquist index. They assumed constant returns to scale and identified the technological change and the change of technical efficiency as two components of the productivity changes over time.…”
Section: Malmquist Indexmentioning
confidence: 99%
“…The above measure is actually the geometric mean of two Caves et al (1982) Malmquist productivity indexes. Fare et al (1992) define that M I > 1 indicates productivity gain; M I < 1 indicates productivity loss; and M I = 1 means no change in productivity from time t to s. Relaxing Caves et al (1982) assumption that D t I (y t , x t ) and D s I (y t , x t ) should equal to one, and allowing for technical inefficiency, Fare et al (1992) decompose their Malmquist productivity index into two components: Fare et al (1992Fare et al ( , 1994 point out that a value of TCC > 1 indicates a positive shift or technical progress, a value of TCC < 1 indicates a negative shift or technical regress, and value of TCC = 1 indicates no shift in technology frontier. In this paper we use the decomposition of Malmquist index into two components, namely technological change…”
Section: Malmquist Indexmentioning
confidence: 99%
“…Moreover, these measures can readily be incorporated into a Malmquist analysis to examine trends in efficiency over time (see Färe et al [19,21]; Flegg et al [27]). In terms of software, one can use OnFront (www.emq.com) to carry out the necessary calculations.…”
Section: Merits and Demerits Of The Two Approachesmentioning
confidence: 99%
“…Only three of the labour congestion scores were changed as a result of omitting the second stage, and then only slightly, and the capital congestion scores were unaffected. 19 Therefore, in view of the extra computation required, we would question whether the benefits in terms of additional accuracy from using this refinement are worth pursuing in practical applications. 20 …”
Section: Tables 1 and 2 Near Herementioning
confidence: 99%
“…In general, all DEA studies would consider performance analysis at a given point of time. However, extensions to the standard DEA procedures, such as the Malmquist Productivity Index (MPI) approach, have been reported to provide Productivity analysis in a time-series setting [6]- [8].…”
Section: Introductionmentioning
confidence: 99%