Supply Chain Finance and Firm performance: The moderating role of Industry competition and Credit risk
Amna Asim and
Danish Ahmed Siddiqui
EconStor Preprints from ZBW - Leibniz Information Centre for Economics
Abstract:
This study investigates the impact of supply chain finance (SCF) on firm performance in Pakistan's non-financial sector, with a focus on the moderating roles of industry competition and credit risk. Leveraging panel data from 126 firms listed on the Pakistan Stock Exchange (2010-2023), by employing Ordinary Least Square (OLS) regression analysis to examine how SCF component Days Inventory Outstanding (DIO), Days Receivable Outstanding (DRO), and Days Payable Outstanding (DPO) that interact with industry concentration (Herfindahl Hirschman Index) and credit risk (Altman's Z-score) to influence key performance metrics: Return on Assets (ROA), Return on Equity (ROE), Tobin-Q, and Net Profit Margin (NPM). Results reveal that efficient inventory management (DIO) consistently enhances profitability and market valuation, while extended payables (DPO) negatively affect investor confidence, signaling liquidity risks. Industry competition amplifies the benefits of strategic inventory practices but diminishes the efficacy of payables strategies, underscoring the need for context specific SCF approaches. Credit risk moderates these relationships asymmetrically: high-risk firms benefit from optimized receivables but face amplified inefficiencies in concentrated markets. Notably, a three-way interaction between SCF, competition, and credit risk highlights that firms in highly competitive industries with low credit risk achieve optimal performance, while high-risk firms in concentrated sectors struggle. The study advances contingency theory by demonstrating that SCF's effectiveness hinges on alignment with market dynamics and financial health. Practical implications urge managers to prioritize inventory precision, cautiously manage payables, and tailor strategies to competitive and credit conditions. Policymakers are called to bolster financial ecosystems supporting SMEs and enhance SCF transparency. Limitations, including omitted macroeconomic variables and pandemic-induced structural shifts, suggest future research directions, such as cross-country comparisons and ESG-integrated SCF frameworks.
Keywords: Supply chain finance; DIO; credit risk; Resource Dependence theory; industry competition; working capital management; firm performance; emerging markets; HHI; Contingency theory (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/341082/1/Thesis-Part2-Amna-Asim.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:esprep:341082
Access Statistics for this paper
More papers in EconStor Preprints from ZBW - Leibniz Information Centre for Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().