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

Year 2026, Volume: 17 Issue: 2, 34 - 51, 23.02.2026
https://doi.org/10.33818/ier.1827423
https://izlik.org/JA36UU42KE

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.

References

  • Aigner, D., C. A. K. Lovell, and P. Schmidt (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.
  • Aigner, D. J. and S. F. Chu (1968). On estimating the industry production function. The American economic review, 58(4), 826-839.
  • Afriat, S. N. (1972). Efficiency estimation of production functions. International Economic Review, 13(3), 568–598.
  • Arbelo, A., M. Arbelo-Pérez and P. Pérez-Gómez (2021). Profit efficiency as a measure of performance and frontier models: A resource-based view. BRQ Business Research Quarterly, 24(2), 143–159.
  • Battese, G. E. and S. S. Broca (1997). Functional forms of stochastic frontier production functions and models for technical inefficiency effects: A comparative study for wheat farmers in Pakistan. Journal of Productivity Analysis, 8(4), 395–414.
  • Battese, G. E. and T. J. Coelli (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis, 3(1), 153–169.
  • Battese, G. E. and T. J. Coelli (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332.
  • Battese, G. E. and G. S. Corra (1977). Estimation of a production frontier model: With application to the pastoral zone of Eastern Australia. Australian Journal of Agricultural Economics, 21(3), 169–179.
  • Cornwell, C., P. Schmidt, and R. C. Sickles (1990). Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics, 46(1–2), 185–200.
  • Cummins, J. D. and M. A. Weiss (2013). Analyzing firm performance in the insurance industry using frontier efficiency methods. In Handbook of Insurance, ed. G. Dionne. Springer,795-861.
  • Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (Statistics in Society), 120(3), 253–281.
  • Fındık, D. and A. Tansel (2015). Intangible investment and technical efficiency: The case of software-intensive manufacturing firms in Turkey. IZA Discussion Paper No. 9262. Institute of Labor Economics.
  • Greene, W. H. (1980). Maximum likelihood estimation of econometric frontier functions. Journal of Econometrics, 13(1), 27-56.
  • Hajihassaniasl, S. and R. Kök (2016). Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis. Journal of Economic Structures, 5(1), 13.
  • Kale, P. (2001). Three Essays on Technical Efficiency in Turkish Manufacturing Industries. Bilkent Universitesi (Turkey).
  • Kumbhakar, S. C. (1990). Production frontiers, panel data, and time-varying technical inefficiency. Journal of Econometrics, 46(1-2), 201-211.
  • Meeusen, W., and J. van den Broeck (1977). Efficiency estimation from Cobb–Douglas production functions. International Economic Review, 18(2), 435–444.
  • Murillo‐Zamorano, L. R. (2004). Economic efficiency and frontier techniques. Journal of Economic Surveys, 18(1), 33-77.
  • Önder, A., E. Deliktaş and M. Karadağ (2003). The comparison of DEA and SFA methods in the efficiency of the Turkish manufacturing industry. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 18(1), 71–92.
  • Pitt, M. M., and L. F. Lee (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics, 9(1), 43–64.
  • Richmond, J. (1974). Estimating the efficiency of production. International Economic Review, 15(2), 515–521.
  • Schmidt, P. and R. C. Sickles (1984). Production frontiers and panel data. Journal of Business and Economic Statistics, 2(4), 367–374.
  • Shen, B., A. A. Perfilev, L. P. Bufetova, and X. Li (2023). Bank profitability analysis in China: Stochastic frontier approach. Journal of Risk and Financial Management, 16(4), 243.
  • Sufian, F. and M. S. Habibullah (2009). Determinants of bank profitability in a developing economy: Empirical evidence from Bangladesh. Journal of Business Economics and Management, 10(3), 207-217.
  • Taymaz, E. and G. Saatci (1997). Technical change and efficiency in Turkish manufacturing industries. Journal of Productivity Analysis, 8(4), 461–475.

Year 2026, Volume: 17 Issue: 2, 34 - 51, 23.02.2026
https://doi.org/10.33818/ier.1827423
https://izlik.org/JA36UU42KE

Abstract

References

  • Aigner, D., C. A. K. Lovell, and P. Schmidt (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.
  • Aigner, D. J. and S. F. Chu (1968). On estimating the industry production function. The American economic review, 58(4), 826-839.
  • Afriat, S. N. (1972). Efficiency estimation of production functions. International Economic Review, 13(3), 568–598.
  • Arbelo, A., M. Arbelo-Pérez and P. Pérez-Gómez (2021). Profit efficiency as a measure of performance and frontier models: A resource-based view. BRQ Business Research Quarterly, 24(2), 143–159.
  • Battese, G. E. and S. S. Broca (1997). Functional forms of stochastic frontier production functions and models for technical inefficiency effects: A comparative study for wheat farmers in Pakistan. Journal of Productivity Analysis, 8(4), 395–414.
  • Battese, G. E. and T. J. Coelli (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis, 3(1), 153–169.
  • Battese, G. E. and T. J. Coelli (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332.
  • Battese, G. E. and G. S. Corra (1977). Estimation of a production frontier model: With application to the pastoral zone of Eastern Australia. Australian Journal of Agricultural Economics, 21(3), 169–179.
  • Cornwell, C., P. Schmidt, and R. C. Sickles (1990). Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics, 46(1–2), 185–200.
  • Cummins, J. D. and M. A. Weiss (2013). Analyzing firm performance in the insurance industry using frontier efficiency methods. In Handbook of Insurance, ed. G. Dionne. Springer,795-861.
  • Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (Statistics in Society), 120(3), 253–281.
  • Fındık, D. and A. Tansel (2015). Intangible investment and technical efficiency: The case of software-intensive manufacturing firms in Turkey. IZA Discussion Paper No. 9262. Institute of Labor Economics.
  • Greene, W. H. (1980). Maximum likelihood estimation of econometric frontier functions. Journal of Econometrics, 13(1), 27-56.
  • Hajihassaniasl, S. and R. Kök (2016). Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis. Journal of Economic Structures, 5(1), 13.
  • Kale, P. (2001). Three Essays on Technical Efficiency in Turkish Manufacturing Industries. Bilkent Universitesi (Turkey).
  • Kumbhakar, S. C. (1990). Production frontiers, panel data, and time-varying technical inefficiency. Journal of Econometrics, 46(1-2), 201-211.
  • Meeusen, W., and J. van den Broeck (1977). Efficiency estimation from Cobb–Douglas production functions. International Economic Review, 18(2), 435–444.
  • Murillo‐Zamorano, L. R. (2004). Economic efficiency and frontier techniques. Journal of Economic Surveys, 18(1), 33-77.
  • Önder, A., E. Deliktaş and M. Karadağ (2003). The comparison of DEA and SFA methods in the efficiency of the Turkish manufacturing industry. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 18(1), 71–92.
  • Pitt, M. M., and L. F. Lee (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics, 9(1), 43–64.
  • Richmond, J. (1974). Estimating the efficiency of production. International Economic Review, 15(2), 515–521.
  • Schmidt, P. and R. C. Sickles (1984). Production frontiers and panel data. Journal of Business and Economic Statistics, 2(4), 367–374.
  • Shen, B., A. A. Perfilev, L. P. Bufetova, and X. Li (2023). Bank profitability analysis in China: Stochastic frontier approach. Journal of Risk and Financial Management, 16(4), 243.
  • Sufian, F. and M. S. Habibullah (2009). Determinants of bank profitability in a developing economy: Empirical evidence from Bangladesh. Journal of Business Economics and Management, 10(3), 207-217.
  • Taymaz, E. and G. Saatci (1997). Technical change and efficiency in Turkish manufacturing industries. Journal of Productivity Analysis, 8(4), 461–475.
There are 25 citations in total.

Details

Primary Language English
Subjects Panel Data Analysis
Journal Section Research Article
Authors

Hamidreza Savehdarbandsari 0009-0001-7773-5385

Seyid Mahmud 0000-0002-0355-4514

Submission Date November 20, 2025
Acceptance Date January 20, 2026
Publication Date February 23, 2026
DOI https://doi.org/10.33818/ier.1827423
IZ https://izlik.org/JA36UU42KE
Published in Issue Year 2026 Volume: 17 Issue: 2

Cite

APA Savehdarbandsari, H., & Mahmud, S. (2026). Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model. International Econometric Review, 17(2), 34-51. https://doi.org/10.33818/ier.1827423
AMA 1.Savehdarbandsari H, Mahmud S. Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model. IER. 2026;17(2):34-51. doi:10.33818/ier.1827423
Chicago Savehdarbandsari, Hamidreza, and Seyid Mahmud. 2026. “Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model”. International Econometric Review 17 (2): 34-51. https://doi.org/10.33818/ier.1827423.
EndNote Savehdarbandsari H, Mahmud S (February 1, 2026) Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model. International Econometric Review 17 2 34–51.
IEEE [1]H. Savehdarbandsari and S. Mahmud, “Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model”, IER, vol. 17, no. 2, pp. 34–51, Feb. 2026, doi: 10.33818/ier.1827423.
ISNAD Savehdarbandsari, Hamidreza - Mahmud, Seyid. “Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model”. International Econometric Review 17/2 (February 1, 2026): 34-51. https://doi.org/10.33818/ier.1827423.
JAMA 1.Savehdarbandsari H, Mahmud S. Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model. IER. 2026;17:34–51.
MLA Savehdarbandsari, Hamidreza, and Seyid Mahmud. “Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model”. International Econometric Review, vol. 17, no. 2, Feb. 2026, pp. 34-51, doi:10.33818/ier.1827423.
Vancouver 1.Hamidreza Savehdarbandsari, Seyid Mahmud. Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model. IER. 2026 Feb. 1;17(2):34-51. doi:10.33818/ier.1827423