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The Indian auto component industry - Estimation of operational efficiency and its determinants using DEA

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  • Saranga, Haritha

Abstract

In this paper, the performance analysis of the Indian auto component industry is carried out from the perspectives of an original equipment manufacturer and a component supplier. Various efficiency measures are estimated using Data Envelopment Analysis with publicly available financial data on a representative sample of 50 firms. The first stage analysis reveals various operational inefficiencies in the auto component industry which are subsequently decomposed into technical, input mix and scale efficiencies. The study finds evidence that a majority of the inefficient firms are operating in the diminishing returns to scale region and demonstrates potential savings through benchmark input targets. A second stage analysis aimed at exploring root causes of inefficiencies finds that substitution of labour for capital could be causing a variety of inefficiencies including the input mix inefficiency in the Indian component industry. The empirical results also suggest that, unlike the global auto supply chain, higher average inventories are required for higher operational efficiencies in the Indian context. Contrary to the popular expectations, the technology licensing does not show significant influence on efficiency, at least in the short term, whereas efficient working capital management does result in higher operational efficiencies. The study also unearths the need to reform labour laws which are significantly contributing to various inefficiencies in the Indian component industry.

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  • Saranga, Haritha, 2009. "The Indian auto component industry - Estimation of operational efficiency and its determinants using DEA," European Journal of Operational Research, Elsevier, vol. 196(2), pages 707-718, July.
  • Handle: RePEc:eee:ejores:v:196:y:2009:i:2:p:707-718
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    Cited by:

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    2. U D Kumar & A B Roy & H Saranga & K Singal, 2010. "Analysis of hedge fund strategies using slack-based DEA models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(12), pages 1746-1760, December.
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    4. Illi Kim & Changhee Kim, 2018. "Supply Chain Efficiency Measurement to Maintain Sustainable Performance in the Automobile Industry," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    5. J. Vineesh Prakash & D. K. Nauriyal, 2020. "Automotive Components Industry and Profitability Factors: Evidence from India," Vision, , vol. 25(2), pages 209-223, June.
    6. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
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    8. Sang-Lyul Ryu & Jayoun Won, 2022. "The Value Relevance of Operational Innovation: Insights from the Perspective of Firm Life Cycle," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    9. Alaa Alden Al Mohamed & Sobhi Al Mohamed, 2023. "Application of fuzzy group decision-making selecting green supplier: a case study of the manufacture of natural laurel soap," Future Business Journal, Springer, vol. 9(1), pages 1-20, December.
    10. Toloo, Mehdi & Tone, Kaoru & Izadikhah, Mohammad, 2023. "Selecting slacks-based data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1302-1318.
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    12. Tarikere T. Niranjan & Narendra K. Ghosalya & Srinagesh Gavirneni, 2022. "Crying Wolf and a Knowing Wink: A Behavioral Study of Order Inflation and Discounting in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1071-1088, March.
    13. DeCampos, Hugo A. & Rosales, Claudia R. & Narayanan, Sriram, 2022. "Supply chain horizontal complexity and the moderating impact of inventory turns: A study of the automotive component industry," International Journal of Production Economics, Elsevier, vol. 245(C).
    14. Chia-Nan Wang & Han-Khanh Nguyen, 2017. "Enhancing Urban Development Quality Based on the Results of Appraising Efficient Performance of Investors—A Case Study in Vietnam," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    15. Brandenburg, Marcus, 2016. "Supply chain efficiency, value creation and the economic crisis – An empirical assessment of the European automotive industry 2002–2010," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 321-335.
    16. Zhou, Lianjie & Hu, Junhui & Liu, Dongshuang & He, Mengwei, 2023. "Studying the role of fiscal policy to utilize natural resources development: Leads to sustainable development goals," Resources Policy, Elsevier, vol. 84(C).
    17. van der Heijden, Hans & Garn, Wolfgang, 2013. "Profitability in the car industry: New measures for estimating targets and target directions," European Journal of Operational Research, Elsevier, vol. 225(3), pages 420-428.
    18. Dharmaraj Arumugam & Ashok Kumar M & Preetha R, 2016. "Factors Determining Profitability in Indian Automobile Industry," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 7(2), pages 64-69, May.
    19. Saranga, Haritha & George, Rejie & Beine, Judith & Arnold, Ulli, 2018. "Resource configurations, product development capability, and competitive advantage: An empirical analysis of their evolution," Journal of Business Research, Elsevier, vol. 85(C), pages 32-50.
    20. Taleb, Mushtaq & Khalid, Ruzelan & Ramli, Razamin & Ghasemi, Mohammad Reza & Ignatius, Joshua, 2022. "An integrated bi-objective data envelopment analysis model for measuring returns to scale," European Journal of Operational Research, Elsevier, vol. 296(3), pages 967-979.
    21. Zdeněk Motlíček & Dana Martinovičová, 2014. "Impact of Working Capital Management on Sales of Enterprises Focusing on the Manufacture of Machinery and Equipment in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 62(4), pages 677-684.
    22. Jain, Sanjay & Triantis, Konstantinos P. & Liu, Shiyong, 2011. "Manufacturing performance measurement and target setting: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 214(3), pages 616-626, November.
    23. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
    24. Alessandro Manello & Giuseppe G. Calabrese & Piercarlo Frigero, 2016. "Technical efficiency and productivity growth along the automotive value chain: evidence from Italy," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(2), pages 245-259.

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