
doi: 10.1111/itor.12649
handle: 11573/1277644
AbstractThis contribution is the first attempt to systematically review all empirical surveys that so far have been made available in the broad field of efficiency and productivity analysis using frontier estimation methodologies. We provide a systematic bibliometric review on the many empirical surveys in the field of efficiency and productivity analysis, the most relevant concepts, areas, overlaps, and potentials to explore from its introduction to the most recent surveys. We combine the United Nations’ International Standard Industrial Classification (ISIC) taxonomy for the economic activity with the Journal of Economic Literature (JEL) classification system to classify the empirical surveys and to identify the current gaps in the literature. In addition to the most relevant/generic potential areas for applications (according to the United Nation's ISIC), this methodology provides a cluster analysis with the most relevant concepts that have been considered so far (according to the JEL codes). This overview brings an interesting guide for future work to develop the whole field.
330, stochastic frontier analysis, frontier estimation, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS]Humanities and Social Sciences, empirical surveys, [SHS] Humanities and Social Sciences, data envelopment analysis; stochastic frontier analysis; frontier estimation; empirical surveys, data envelopment analysis, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Operations research, mathematical programming
330, stochastic frontier analysis, frontier estimation, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS]Humanities and Social Sciences, empirical surveys, [SHS] Humanities and Social Sciences, data envelopment analysis; stochastic frontier analysis; frontier estimation; empirical surveys, data envelopment analysis, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Operations research, mathematical programming
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 60 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
