Measuring operational efficiency of the textile industry using DEA technique: a study of the northern state of India

IF 2.5 Q3 BUSINESS
Ishwar Singh Darji, S. Dahiya
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引用次数: 0

Abstract

Purpose Considering the role of the textile industry in the generation of employment and export in the Indian economy, it is important to comprehend the efficiency level in the operations of the textile units located in different states in India. In this light, the purpose of this paper is to examine the operational efficiency of textile manufacturing units in Haryana, a northern state of India. Design/methodology/approach The study applies data envelopment analysis (DEA) approach consisting of input-oriented CCR and BCC techniques along with the return to scale technique for the analysis of five years of data from 2015–2016 to 2019–2020. Findings The results reveal that Haryana’s textile units have significantly underperformed operationally, with an average technical efficiency score of just 0.25 for five years, from 2015–2016 to 2019–2020. The yearly ratings of the overall technical efficiency of the selected textile companies include 0.20, 0.18, 0.18, 0.40 and 0.28; PTE scores are 0.43, 0.43, 0.55, 0.60, 0.62 and scale efficiency scores 0.54, 0.44, 0.29, 0.71, 0.38, respectively, from 2015–2016 to 2019–2020. On the other hand, average of 5.8 units are functioning at the constant return to scale, 10.2 units are at increasing return to scale and average of 45 units are functioning at decreasing return to scale (DRS). It is found that most of the companies are functioning at a DRS; to boost efficiency, these companies must reduce their input size since they are running at a DRS. Practical implications The results of the current paper provide key insight into the inefficiency level of the textile manufacturing industry in the context of northern India. Industry professionals can take corrective measures based on these findings. Moreover, for investors and portfolio managers, knowing which companies are efficient and which are not will help them make better decisions. The study helps policymakers to frame appropriate policy guidelines to make the textile units in the state more efficient and competitive. Originality/value To the best of the authors’ knowledge, no study has been done so far on the operational performance of the textile industry in Haryana based on the DEA technique. So, it will contribute to the extant literature on the performance of the textile industry.
用DEA技术衡量纺织业的运作效率:对印度北部邦的研究
考虑到纺织工业在印度经济中创造就业和出口的作用,重要的是要了解位于印度不同州的纺织单位的运作效率水平。有鉴于此,本文的目的是研究印度北部哈里亚纳邦纺织制造单位的运营效率。设计/方法/方法本研究采用数据包络分析(DEA)方法,包括投入导向的CCR和BCC技术以及规模回报技术,用于分析2015-2016年至2019-2020年的五年数据。研究结果显示,哈里亚纳邦的纺织部门在运营上表现明显不佳,从2015-2016年到2019-2020年的五年中,平均技术效率得分仅为0.25。入选纺织企业整体技术效率年度评分分别为0.20、0.18、0.18、0.40、0.28;2015-2016年至2019-2020年,PTE得分分别为0.43、0.43、0.55、0.60、0.62,规模效率得分分别为0.54、0.44、0.29、0.71、0.38。另一方面,平均5.8个单位处于规模回报不变的状态,10.2个单位处于规模回报递增的状态,平均45个单位处于规模回报递减的状态(DRS)。研究发现,大多数公司都是在DRS下运作的;为了提高效率,这些公司必须减少投入规模,因为它们是按DRS运行的。实际意义本论文的结果为印度北部纺织制造业的低效率水平提供了关键的见解。行业专业人士可以根据这些发现采取纠正措施。此外,对于投资者和投资组合经理来说,了解哪些公司是高效的,哪些是低效的,将有助于他们做出更好的决策。这项研究有助于政策制定者制定适当的政策指导方针,使该邦的纺织单位更有效率和更具竞争力。原创性/价值据作者所知,到目前为止,还没有基于DEA技术对哈里亚纳邦纺织工业的经营绩效进行过研究。因此,它将有助于现有的文献对纺织行业的绩效。
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
CiteScore
5.70
自引率
4.00%
发文量
25
期刊介绍: Measuring Business Excellence provides international insights into non-financial ways to measure and manage business performance improvements and company’s value creation dynamics. Measuring Business Excellence will enable you to apply best practice, implement innovative thinking and learn how to use different practices. Learn how to use innovative frameworks, approaches and practices for understanding, assessing and managing the strategic value drivers of business excellence. MBE publishes both rigorous academic research and insightful practical experiences about the development and adoption of assessment and management models, tools and approaches to support excellence and value creation of 21st century organizations both private and public.
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