Assessment of working capital management efficiency – a two-stage slack-based measure of data envelopment analysis

Seth, Himanshu, Deepak, Deepak, Ruparel, Namita, Chadha, Saurabh and Agarwal, Shivi (2024) Assessment of working capital management efficiency – a two-stage slack-based measure of data envelopment analysis. Managerial Finance. ISSN 0307-4358 (In Press)

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Abstract

Purpose
This study aims to assess the efficiency of managing working capital in 1,388 Indian manufacturing firms from 2008 to 2019 and investigate the effects of firm-specific and macro-level determinants on working capital management (WCM) efficiency.

Design/methodology/approach
The current study accommodates a slack-based measure (SBM) in data envelopment analysis (DEA) for computing WCM efficiency. Further, we implement a panel data fixed-effects model that controls for heterogeneity across firms in determining the relationships of selected variables with WCM efficiency.

Findings
The results highlight that manufacturing firms operate at around 50 percent efficiency, which is constant throughout the study period. Furthermore, among the selected variables, yield, earnings, age, size, ability to create internal resources, interest rate and gross domestic product (GDP) significantly affect WCM efficiency.

Originality/value
Instead of the traditional models used for assessing efficiency, the SBM-DEA model is unit-invariant and monotone for slacks, implying that it can handle zero and negative data, which overcomes the incapability of prior DEA models. Hence, this provides accurate efficiency scores for robust analysis. Additionally, this paper provides a holistic working capital model recognizing firm-specific and macro-level determinants for a more explicit estimation of the relationship between WCM efficiency and the selected determinants.

Item Type: Article
Keywords: Working capital management | Efficiency | Slack-based measure | Data envelopment analysis | Manufacturing | India
Subjects: Social Sciences and humanities > Business, Management and Accounting > Management Information Systems
Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation
Social Sciences and humanities > Economics, Econometrics and Finance > Economics
JGU School/Centre: Jindal Institute of Behavioural Sciences
Depositing User: Subhajit Bhattacharjee
Date Deposited: 19 Mar 2024 04:19
Last Modified: 25 Mar 2024 11:04
Official URL: https://doi.org/10.1108/MF-08-2020-0432
URI: https://pure.jgu.edu.in/id/eprint/7478

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