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Yan Yuan

Bio: Yan Yuan is an academic researcher from New Mexico Institute of Mining and Technology. The author has contributed to research in topics: Data envelopment analysis & Social sustainability. The author has an hindex of 10, co-authored 11 publications receiving 584 citations.

Papers
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TL;DR: In this article, the authors summarized previous research efforts on Data Envelopment Analysis (DEA) applied to energy and environment in the past four decades, including concepts and methodologies on DEA environmental assessment.

358 citations

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TL;DR: Li et al. as mentioned in this paper utilized Data Envelopment Analysis (DEA) for assessment on its regional performance by incorporating PM2.5 and PM10 as undesirable outputs, along with two disposability concepts (i.e., natural disposability and managerial disposability).

157 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the level of simultaneous achievement on economic prosperity and environmental protection by a newly proposed intermediate approach, which combines the analytical features of radial approach with those of non-radial approach.

75 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared three DEA approaches for environmental assessment, all of which are designed to examine the level of simultaneous achievement on economic prosperity and environmental protection, so measuring the degree of sustainability development.

50 citations

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TL;DR: Wang et al. as mentioned in this paper discussed the concept of natural and managerial disposability from their economic and methodological implications on social sustainability development and explored their analytical linkages to a concept on "congestion".

39 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency, where the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes.
Abstract: The main aim of this review article is to review of DEA models in regarding to energy efficiency. This paper reviewed and summarized the different models of DEA that have been applied around the world to development of energy efficiency problems. Consequently, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency. Accordingly, the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes. Results of this review paper indicated that DEA showed great promise to be a good evaluative tool for future analysis on energy efficiency issues, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire.

414 citations

Journal ArticleDOI
TL;DR: In this article, the authors summarized previous research efforts on Data Envelopment Analysis (DEA) applied to energy and environment in the past four decades, including concepts and methodologies on DEA environmental assessment.

358 citations

Journal ArticleDOI
TL;DR: The environmental impacts of several commercial and emerging solar energy systems at both small- and utility-scales are discussed, alongside with some technically and ecologically favorable recommendations for mitigating the impacts.

312 citations

Journal ArticleDOI
TL;DR: This study reviews the literature on data envelopment analysis (DEA) applications in sustainability using citation-based approaches and constructs a directional network based on citation relationships among DEA papers published in journals indexed by the Web of Science database from 1996 to March 2016.

235 citations

Journal ArticleDOI
TL;DR: Evaluating the eco-efficiency of China's industrial sectors between 2007 and 2015 by using the directional distance function (DDF) of network data envelopment analysis (DEA), which contains a two-stage structure that divides industrial processes into three linked subprocesses, indicates that China's industries have already achieved a win-win situation in the development of environmental protection and economic growth over the past few years.

147 citations