Efficiency measurement for general network systems: a slacks-based measure model

Cantor, Victor John M.; Poh, Kim-Leng

doi:10.1007/s11123-020-00577-7

Cited by 11 publications

(4 citation statements)

References 52 publications

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“…Data envelopment analysis (DEA) is a commonly used method to calculate GTFP because it can calculate the decision-making units (DMU) with more input and output. In this paper, a non-radial super-efficiency SBM model [ 31 , 32 ], including undesirable output, is established to measure GTFP. Assuming that each province is a decision-making unit (DMU), there are n DMUs in total.…”

Section: Measurement Of Gtfpmentioning

confidence: 99%

Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt

Sun

Tang

Kong

et al. 2022

IJERPH

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The Yangtze River economic belt is an inland river economic belt with international influence composed of 11 provinces and municipalities in the Yangtze River Basin. This paper uses the super-efficiency model to calculate the green total factor productivity of 11 provinces and municipalities in the Yangtze River economic belt (YREB). Then we establish a model to study the impact of industrial structure upgrading, industrial structure rationalization, and environmental regulation on green total factor productivity (GTFP). Empirical analysis shows that the industrial structure upgrading and environmental regulation have a significant impact on GTFP and show regional characteristics. The more developed the economy and the higher the industrial structure, the greater the impact of upgrading and environmental regulation on GTFP. Compared with other control variables, the urbanization rate impacts GTFP, followed by regional economic development.

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Section: Measurement Of Gtfpmentioning

confidence: 99%

Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt

Sun

Tang

Kong

et al. 2022

IJERPH

View full text Add to dashboard Cite

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“…6, the most cited models in the literature review were Tone and Tsutsui (2009, 2014) and Lozano (2015). According to Cantor and Poh (2020), an issue about the original NSBM and its reformulations that prevents it from achieving accurate efficiency measures and providing realistic improvement strategies is the inadequate definition of overall and divisional efficiency. The NSBM model determines the overall and divisional efficiencies considering only the slacks of exogenous inputs and outputs (Tone and Tsutsui, 2009), and the slacks of the intermediate variables are considered only through link constraints (Sánchez‐González et al., 2017).…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, in recent years, SBM network models have been proposed and applied in several areas. Several studies have already used this approach for real-world applications, such as in banking, finance, transportation, telecommunications, government, and others (Cantor and Poh, 2020).…”

Section: Network Sbmmentioning

confidence: 99%

A review of network DEA models based on slacks‐based measure: Evolution of literature, applications, and further research direction

Alves

Meza

2023

Int Trans Operational Res

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This paper presents a literature review on network models in data envelopment analysis (DEA) focused on the slack‐based network model called slacks‐based measure‐network data envelopment analysis (SBM‐NDEA). The search was carried out in an international database, resulting in 97 publications in the period from 2009 to 2021. From these publications, a descriptive analysis is performed, the evolution of the literature is mapped, the articles are organized into categories, and the main methodological references for the models and applications used are identified. Also, the most used models and their main characteristics are described, in addition to the analysis of the applications. Moreover, the sectors and countries with the highest number of applications are also identified. Through this review, it was possible to observe an increase in the number of network studies using the SBM‐NDEA in recent years. Finally, directions for future research in SBM‐NDEA are suggested.

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“…The main reason for the improvement of power system efficiency is the efficiency of each sub-sector level [ 25 ]. Cantor et al (2020) further explored the application and significance of the NSBM model in efficiency measurement through the study of 10 power companies [ 26 ]. Therefore, this article aims to open the “black box” of the power industry, study the relationship between power production and the efficiency of the transmission and distribution sector, and use the network data envelopment analysis method based on slack variables and measurement of the efficiency of the overall power system, the power generation sector, and the transmission and distribution network sector.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model

Wei

Ding

Zheng

et al. 2021

IJERPH

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How to achieve the continuous improvement of the environmental performance level of the power industry within the requirements of clean and low-carbon energy development is the fundamental requirement and inevitable choice for the construction of ecological civilization and sustainable development. From the perspective of environmental protection, based on the Data Envelopment Analysis (DEA) method and the internal mechanism of power system production and supply, the power industry environmental efficiency evaluation index system was constructed, and the two-stage Network Slack-based Measure (NSBM) model considering undesired output was used to calculate China’s 30 provinces and municipalities from 1998 to 2019. The environmental efficiency is divided into two links: power generation efficiency and transmission and distribution efficiency. The study found that, within the research interval, the overall environmental efficiency of China’s 30 provinces is low, and the differences between provinces and cities are large, but they have gradually developed in a better direction after 2015. The power generation efficiency of the first link in most provinces and municipalities is higher than the transmission and distribution efficiency of the second link, and the low transmission and distribution efficiency is an important reason for the low comprehensive level of environmental efficiency. The overall evolution trend of environmental efficiency in the six regions of China is roughly the same, but the regional differences are obvious, showing a trend of “high in the southeast and low in the northwest”. The economic and natural resource differences in different provinces and cities in each region have led to varying degrees of redundancy in five aspects, including investment in power assets, installed power generation capacity, and length of transmission lines, which seriously affect the environmental efficiency of the power industry. This research attempts to open the “black box” of the environmental efficiency conversion process of the power industry, which can provide directions and strategic suggestions for the improvement of the efficiency of the power industry in China.

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Efficiency measurement for general network systems: a slacks-based measure model

Cited by 11 publications

References 52 publications

Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt

Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt

A review of network DEA models based on slacks‐based measure: Evolution of literature, applications, and further research direction

Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model

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