Valuing supply chain performance within and across manufacturing industries: A DEA-based approach

Hahn, Gerd J.; Brandenburg, Marcus; Becker, Julian

doi:10.1016/j.ijpe.2021.108203

Cited by 26 publications

(8 citation statements)

References 82 publications

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“…It can be seen that the DEA method can be used to evaluate the production or business performance of decision-making units with multiple inputs and multiple outputs. The DEA method does not need to specify the form of the production function of the input and output, so it can evaluate the efficiency of decision-making units (DMU) with more complex production relations [ 24 , 25 ]. In summary, this paper uses a combination of a three-stage DEA model and the Malmquist index to study agricultural efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

Pan

Tang

Kong

et al. 2022

IJERPH

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The Yangtze River Economic Belt (YREB) is a major national strategic development area in China, and the development of the YREB will greatly promote the development of the entirety China, so research on its agricultural production efficiency is also of great significance. This paper is committed to studying the agricultural production efficiency of 11 provinces in the YREB and adopts a combination of the Data Envelopment Analysis (DEA) model and the Malmquist index to make a dynamic and static analysis on the YREB’s agricultural production efficiency from 2010 to 2019. Then, a three-stage DEA Malmquist model that eliminates the factors of random interference and management inefficiency is compared to a model without elimination. The results show that the adjusted technological efficiency changes, technological progress, and total factor productivity increased by −0.1%, 0.24%, and 0.22%, respectively. When comparing these values to the pre-adjustment values, the results indicate that the effect of environmental variables cannot be ignored when studying the agricultural production efficiency of the YREB. At the same time, the differences in the agricultural production efficiency in the YREB are reasonably explained, and feasible suggestions are put forward.

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Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

Pan

Tang

Kong

et al. 2022

IJERPH

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“…We look at Graph (7) and compare whether states and UTs continually progress or regress from 2012 to 2017. The CFS value of India's states and UTs is calculated in Table (6), which shows that the productivity of states and UTs has been continually improving or regressing from 2012 to 2017, and the change in productivity for states and UTs is compared in Graph (8). The findings are expected to be useful in analyzing potential changes in agriculture policy affecting these states and UTs.…”

Section: Discussionmentioning

confidence: 99%

“…Banker et al [5] built on the pioneering work of Charnes et al [3] and introduced the BCC model to evaluate relative efficiency which is assumed that variable returns to scale (VRS). The DEA technique has recently been successfully applied in a wide variety of cases, including industry [6], banking institutions [7], research and development organisations [8] , health care management [9], manufacturing [10], and supply chain management [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency and Productivity Analysis of the Indian Agriculture Sector Based on the Malmquist-DEA Technique

Chaubey¹,

Sharanappa²,

Mohanta³

et al. 2022

ujar

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This article evaluated the agricultural performance of 31 states and union territories (UTs) in India from 2012 to 2017. The best agricultural productivity states and UTs in India were obtained using Malmquist based DEA technique and the efficiency score for each year was found using CCR model. The input parameter is taken as annual rainfall, total population, GDP, Workers, and net cultivated area, and the output parameter is taken as production of rice, wheat, coarse cereals, pulses, oil seeds, and sugarcane. The productivity of the states and UTs are compared, as well as the increase or decrease in productivity is calculated. Total productivity change was calculated using cumulative Malmquist index (CMI). As a results, Punjab, Rajasthan, Sikkim, and Uttar Pradesh are the most efficient states throughout the year, while Kerala and Goa are the least efficient. Maximum states and UTs advanced 61.25 % in 2015-16, whereas maximum states and UTs declined 62.52 % in 2012-13. The overall productivity change in Madhya Pradesh inceases perfectly while Nagaland's is almost decreasing. Other factors that may have an influence on state and UTs agriculture productivity include capital investment and fertiliser use. Additional social and environmental performance criteria, such as contribution to local community development and harmful emission measurement, can be integrated as output criteria for sustainability performance analysis.

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“…Hence, many studies have focused on performance measurement in different components of SCM in various sectors using varying models. For example, Mishra [4] used DEA to quantify internal SC efficiency in the pharmaceutical sector, while Hahn et al [5] examined company value related to operational SC performance parameters from a financial sector viewpoint. Different models have been proposed, such as the SC assessing index system based on four factors: financial, process, service, and innovation, using DEA and Analytic Hierarchy Process (AHP) approaches [6].…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Data Envelopment Analysis in Supply Chain Management

Sıcakyuz¹

2023

JOSA

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Valuing supply chain performance within and across manufacturing industries: A DEA-based approach

Cited by 26 publications

References 82 publications

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

Efficiency and Productivity Analysis of the Indian Agriculture Sector Based on the Malmquist-DEA Technique

Bibliometric Analysis of Data Envelopment Analysis in Supply Chain Management

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