A new value-based method for decomposing profit efficiency

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Ming‐Miin Yu, Shih-Liang Chao
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引用次数: 0

Abstract

Conventional profit and allocative efficiencies suffer from a critical deficiency if input and output prices are different between decision-making units (DMUs) in the market when assuming given uniform input and output prices under a homogeneous technology. Price differences and technology gap considerations are more relevant to firms in reducing profit loss under a non-homogeneous technology with non-perfect market competition. This study proposes a new value-based meta-profit inefficiency decomposition considering the presence of both a new technology gap and price inefficiency. As an illustrative empirical application, we present an example of 35 Taiwanese banks representing two types of banking organizations: financial holding companies (FHCs) and non-FHCs. The new decomposition we propose helps to identify the profit–loss due to group technical, group price, new technology gap and meta-mix inefficiencies of DMUs.
基于价值的利润效率分解新方法
假设在一种同质技术下给予统一的投入和产出价格,如果市场决策单位(dmu)之间的投入和产出价格不同,传统利润和配置效率就会受到严重缺陷的影响。在非完全市场竞争的非同质技术条件下,价格差异和技术差距考虑对企业减少利润损失更为重要。本文在考虑新技术差距和价格无效率的情况下,提出了一种新的基于价值的元利润无效率分解方法。本研究以35家台湾银行为例,分析两种类型的银行组织:金融控股公司(fhc)和非金融控股公司。我们提出的新的分解有助于识别由于集团技术、集团价格、新技术差距和元组合效率低下造成的利润损失。
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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