Research fronts in data envelopment analysis

Liu, John S.; Lu, Louis Y. Y.; Lu, Wen‐Min

doi:10.1016/j.omega.2015.04.004

Cited by 232 publications

(91 citation statements)

References 140 publications

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“…The next step was the evaluation of economic efficiency of the companies to be studied. To meet said objective we employed the DEA method, which is the most frequent and popular technique used in the literature [47,48]. Proposed by Charnes, Cooper and Rhodes in 1978, this methodology has become widespread and applied to different scenarios and areas, which is an indication of its flexibility [49].…”

Section: Methodsmentioning

confidence: 99%

“…(In research on the efficiency of a set of economic units, three methods are highlighted: DEA, stochastic frontier analysis and deterministic frontier analysis [50]. According to Liu et al [48], efficiency analyses and, in particular, those of DEA have aroused great interest in the scientific community, due to the growing number of publications that have appeared in recent years, since 2010, and their importance in evaluating resource exploitation by companies.) In particular, the aim of this technique is to compare different homogeneous decision-making units (hereinafter DMUs), by evaluating the production factors or inputs they employ to generate a specific final product or output, in order to allocate different levels of efficiency.…”

Section: Methodsmentioning

confidence: 99%

“…With this it was hoped to determine the organizational variables associated with higher levels of efficiency. For this procedure, common in studies using the DEA method [47], the use of regression models is frequent [48]. However, in this study a fuzzy set QCA (fsQCA) was undertaken, which we consider adequate and useful for testing jointly technological and organizational variables which may explain greater levels of efficiency.…”

Section: Methodsmentioning

confidence: 99%

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Determining Factors for Economic Efficiency in the Organic Olive Oil Sector

et al. 2017

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Abstract:Spain looms large worldwide in organic olive oil production. However, this productive potential contrasts with the low internal consumption of the product. This situation makes Spain a world leader in its export. Companies in this sector have clear deficiencies, which must be corrected to ensure their survival over time. In this context, the aim of this study is to analyse the level of efficiency, in economic terms, of organic olive oil producers and to identify the factors explaining the best organizational practices. To do so, Data Envelopment Analysis (DEA) and Qualitative Comparative Analysis (QCA) have been used. The results reveal low levels of economic efficiency and the variables determining said efficiency.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Determining Factors for Economic Efficiency in the Organic Olive Oil Sector

et al. 2017

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“…DEA is a popular approach and important analysis tool to evaluate efficiency in various sciences such as management science, operation research, system engineering, environmental sustainability, etc. [14][15][16]. In recent decades, several previous studies extended, proposed and applied DEA models for assessing of the efficiency in many fields of energy in various countries, economics and different areas.…”

Section: Introductionmentioning

confidence: 99%

“…Ref. [16] applied a network clustering method to group the literature through a citation network established from the DEA literature over the period 2000 to 2014. The four research fronts identified are "bootstrapping and two-stage analysis", "undesirable factors", "cross-efficiency and ranking" and "network DEA and dynamic DEA".…”

Section: Introductionmentioning

confidence: 99%

Total-Factor Energy Efficiency in BRI Countries: An Estimation Based on Three-Stage DEA Model

et al. 2018

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Abstract:The Belt and Road Initiative (BRI) is showing its great influence and leadership on the international energy cooperation. Based on the three-stage DEA model, total-factor energy efficiency (TFEE) in 35 BRI countries in 2015 was measured in this article. It shows that the three-stage DEA model could eliminate errors of environment variable and random, which made the result better than traditional DEA model. When environment variable errors and random errors were eliminated, the mean value of TFEE was declined. It demonstrated that TFEE of the whole sample group was overestimated because of external environment impacts and random errors. The TFEE indicators of high-income countries like South Korea, Singapore, Israel and Turkey are 1, which is in the efficiency frontier. The TFEE indicators of Russia, Saudi Arabia, Poland and China are over 0.8. And the indicators of Uzbekistan, Ukraine, South Africa and Bulgaria are in a low level. The potential of energy-saving and emissions reduction is great in countries with low TFEE indicators. Because of the gap in energy efficiency, it is necessary to distinguish different countries in the energy technology options, development planning and regulation in BRI countries.

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Data envelopment analysis approach to targeting in sustainable chemical process design: Application to liquid fuels

et al. 2018

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This paper presents a framework for combining data envelopment analysis with process systems engineering tools, aiming to improve the sustainability of chemical processes. Given a set of chemical processes, each characterised by performance indicators, the framework discriminates between efficient and inefficient processes regarding those indicators. We develop an approach to quantifying the closest targets for an inefficient process to become efficient, while preventing unrealistic targets by accounting for its thermodynamic limitations represented as mass and energy flow constraints. We demonstrate the capabilities of the framework by assessing a methanol production process with captured CO 2 and fossil-based H 2 , in comparison to ten alternatives. The methanol fuel is found to be suboptimal in comparison with other fuels. Making it competitive would require a significant (unrealistic in the short term) reduction in H 2 price. Alternatively, the methanol fuel could become competitive upon combining fossil-based H 2 with sustainably produced H 2 via windpowered electrolysis.

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Research fronts in data envelopment analysis

Cited by 232 publications

References 140 publications

Determining Factors for Economic Efficiency in the Organic Olive Oil Sector

Determining Factors for Economic Efficiency in the Organic Olive Oil Sector

Total-Factor Energy Efficiency in BRI Countries: An Estimation Based on Three-Stage DEA Model

Data envelopment analysis approach to targeting in sustainable chemical process design: Application to liquid fuels

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