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Technical Efficiency Analysis of Indian IT Industry: A Panel Data Stochastic Frontier Approach

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  • Nadeem Ahmad Bhat
  • Sandeep Kaur

Abstract

Globalization and the development of modern technologies have led to the emergence of service trade. The success of Indian information technology (IT) has changed perception of globe about India and has captured the attention of the globe as it seems a paradox that a developing economy is emerging as a global hub for software exports. In the past three decades, the contribution of the Indian IT industry to national income, employment generation and offsetting the current account deficit is remarkable. In this consideration, the present study is an attempt to analyse the technical efficiency of the IT industry of India during the period 2000–2016 by applying panel data stochastic frontier analysis approach. The study reveals that foreign capital, age and profit ratio have a significant impact on mitigating the technical inefficiency of the IT industry while the research and development (R&D) expenditure has turned out statistically insignificant in determining efficiency. Indian IT industry is mostly driven by service exports which are not survivable in the long run. The study suggests that the Indian IT industry has to transform itself from low value-added to high value-added, from service-driven to product-driven.

Suggested Citation

  • Nadeem Ahmad Bhat & Sandeep Kaur, 2024. "Technical Efficiency Analysis of Indian IT Industry: A Panel Data Stochastic Frontier Approach," Millennial Asia, , vol. 15(2), pages 327-348, June.
    • Handle: RePEc:sae:millen:v:15:y:2024:i:2:p:327-348
    DOI: 10.1177/09763996221082199
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    References listed on IDEAS

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    1. L. Kamran Bilir, 2014. "Patent Laws, Product Life-Cycle Lengths, and Multinational Activity," American Economic Review, American Economic Association, vol. 104(7), pages 1979-2013, July.
    2. Correa, Carlos M., 1996. "Strategies for software exports from developing countries," World Development, Elsevier, vol. 24(1), pages 171-182, January.
    3. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    4. Suyanto & Salim, Ruhul A. & Bloch, Harry, 2009. "Does Foreign Direct Investment Lead to Productivity Spillovers? Firm Level Evidence from Indonesia," World Development, Elsevier, vol. 37(12), pages 1861-1876, December.
    5. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    7. Sangita Dutta Gupta & Ajitava Raychaudhuri & Sushil Kumar Haldar, 2015. "Determinants of Exports of Information Technology in India," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 16(1), pages 64-81, March.
    8. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514, January.
    9. Jungsuk Kim & Jacob Wood, 2020. "Service sector development in Asia: an important instrument of growth," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 34(1), pages 12-25, May.
    10. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    11. TAHTAMOUNI, Abla S. & ALOMARI, Mohammad W. & BASHAYREH, Ala & ABDELHADI, Samer, 2020. "Jordanian Banking System: Analysis Of Technical Efficiency And Performance," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 24(3), pages 23-40, September.
    12. Sandeep Kaur & Sangeeta Khorana & Manpreet Kaur, 2020. "Is There Any Potential in Service Trade of South Asia?," Foreign Trade Review, , vol. 55(3), pages 402-417, August.
    13. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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