Efficiency Assessment of Consumer’s Electronics Sector: Data Envelopment Analysis

Q3 Business, Management and Accounting Journal of Asia-Pacific Business Pub Date : 2021-10-19 DOI:10.1080/10599231.2021.1983502
Rohit Bansal, S. Kar, Shweta Gupta
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引用次数: 1

Abstract

This article aims to assess the efficiency levels of the Indian consumer electronics sector listed companies. The efficiency levels of the Decision-Making Units (DMUs) have been assessed using a non-parametric technique, that is, Data Envelopment Analysis (DEA). The present study is based on panel data of a group of 16 companies listed on the Bombay Stock Exchange for the period March 31, 2014 to March 31, 2018. The study is based on an output-oriented DEA mechanism, that is, profit maximization and Production maximization instead of input-oriented DEA that emphasizes cost and input minimization. The Data Envelopment Analysis has been performed through DEA Excel Solver Pro and R-3.4.1 Software to analyze efficiency levels of the companies mentioned above. The companies’ performance for the period under review has assessed and compared through the use of the Malmquist Productivity Index (MPI) and Tobit Regression. There are very few known studies that have focused on assessing the efficiency level of Indian Consumer’ electronic market using outputoriented DEA models. As per our information, this study is unique in terms of analyzing the efficiency level of the Indian consumer electronic sector for 5 years. The DEA method, along with two other techniques, that is, Malmquist Productivity Index (MPI) and Tobit Regression, can be explained in detail and much more realistic compared to other techniques.
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消费电子行业效率评估:数据包络分析
本文旨在评估印度消费电子行业上市公司的效率水平。采用非参数技术,即数据包络分析(DEA),对决策单元(dmu)的效率水平进行了评估。本研究基于2014年3月31日至2018年3月31日期间在孟买证券交易所上市的16家公司的面板数据。本研究基于产出导向的DEA机制,即利润最大化和生产最大化,而不是强调成本和投入最小化的投入导向DEA。通过DEA Excel Solver Pro和R-3.4.1软件进行数据包络分析,分析上述公司的效率水平。通过使用Malmquist生产力指数(MPI)和Tobit回归,评估和比较了公司在审查期间的表现。利用产出导向的DEA模型来评估印度消费电子市场的效率水平的已知研究很少。根据我们的信息,这项研究在分析印度消费电子行业5年的效率水平方面是独一无二的。DEA方法,以及另外两种技术,即Malmquist生产力指数(MPI)和Tobit回归,可以更详细地解释,并且与其他技术相比更现实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Asia-Pacific Business
Journal of Asia-Pacific Business Business, Management and Accounting-Business and International Management
CiteScore
2.50
自引率
0.00%
发文量
17
期刊介绍: Present circumstances underscore the need to improve the understanding of conducting business with and within the Asia-Pacific countries. The Journal of Asia-Pacific Business™ provides a blend of cutting-edge knowledge and practical applications on business management and marketing strategy. In the Journal of Asia-Pacific Business™, you will find articles and feature sections that provide a pragmatic view of the business environment in this dynamic region. This essential resource offers readers a good blend of descriptive, conceptual, and theoretical articles dealing with current topics.
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