Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model

This study analyzes the drivers of technical efficiency across Turkish two-digit manufacturing industries by applying a Stochastic Frontier Model (SFM) with inefficiency effects for the 2019–2024 period. Return on Assets (ROA) is used as the frontier output to capture sector-level profitability and performance differences. The model incorporates financial, structural, and innovation-related indicators to explain both the profit frontier and deviations from it. The results show that liquidity and inventory turnover significantly strengthen profitability, while higher leverage limits the ability of industries to reach their optimal performance levels. The inefficiency model indicates that stronger equity-based capital structures—measured by the fixed-assets-to-equity ratio—and higher interest coverage reduce inefficiency, highlighting the importance of financial robustness. R&D investment is found to be a key source of efficiency gains, underscoring the role of innovation in enhancing competitiveness. In contrast, higher operating expenses increase inefficiency, revealing persistent cost-structure challenges. The COVID-19 pandemic is shown to worsen efficiency across most industries. Variance estimates confirm that inefficiency accounts for roughly 39% of performance variation, indicating meaningful departures from the profit frontier. The study concludes by emphasizing policies that promote equity financing, innovation, financial risk management, and operational modernization to strengthen efficiency and resilience in Turkish manufacturing.

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Publication Details

Journal
International Econometric Review
Published
2026-02-23
DOI
https://doi.org/10.33818/ier.1827423
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model

Seyid Mahmud, Hamidreza Savehdarbandsari
International Econometric Review
Efficiency Analysis Using DEA
article

Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model

Seyid Mahmud, Hamidreza Savehdarbandsari
article en

Abstract

This study analyzes the drivers of technical efficiency across Turkish two-digit manufacturing industries by applying a Stochastic Frontier Model (SFM) with inefficiency effects for the 2019–2024 period. Return on Assets (ROA) is used as the frontier output to capture sector-level profitability and performance differences. The model incorporates financial, structural, and innovation-related indicators to explain both the profit frontier and deviations from it. The results show that liquidity and inventory turnover significantly strengthen profitability, while higher leverage limits the ability of industries to reach their optimal performance levels. The inefficiency model indicates that stronger equity-based capital structures—measured by the fixed-assets-to-equity ratio—and higher interest coverage reduce inefficiency, highlighting the importance of financial robustness. R&D investment is found to be a key source of efficiency gains, underscoring the role of innovation in enhancing competitiveness. In contrast, higher operating expenses increase inefficiency, revealing persistent cost-structure challenges. The COVID-19 pandemic is shown to worsen efficiency across most industries. Variance estimates confirm that inefficiency accounts for roughly 39% of performance variation, indicating meaningful departures from the profit frontier. The study concludes by emphasizing policies that promote equity financing, innovation, financial risk management, and operational modernization to strengthen efficiency and resilience in Turkish manufacturing.

International Econometric ReviewVol. 17(2)
Ankara Sosyal Bilimler Üniversitesi (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Efficiency Analysis Using DEA
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