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Determinants of software exports from India

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  • Bimal Sahoo
  • D. Nauriyal

Abstract

Notable accomplishments in export have made India’s software sector conspicuous. This paper attempts to discuss the determinants of software exports from India. The study notes that—besides dynamic elements of economic development across the world—the policy measures and actions of the Indian government have played proactive and facilitating roles in the growth of the software sector. The study uses the autoregressive distributed lag (ARDL) approach to estimate the impact of various explanatory variables on software exports from India. Since causality is found running in both directions for many variables, the study attempts to examine the determinants of software exports from India through the regression equation in first difference. The results suggest that changes in openness index, human capital, and the GDP of high-income OECD countries have exercised positive impact on change in software exports from India. The study finds a stable long run relationship among variables. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Bimal Sahoo & D. Nauriyal, 2014. "Determinants of software exports from India," International Economics and Economic Policy, Springer, vol. 11(4), pages 455-479, December.
    • Handle: RePEc:kap:iecepo:v:11:y:2014:i:4:p:455-479
    DOI: 10.1007/s10368-013-0254-7
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    1. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    2. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1996. "Testing for the 'Existence of a Long-run Relationship'," Cambridge Working Papers in Economics 9622, Faculty of Economics, University of Cambridge.
    3. Yanikkaya, Halit, 2003. "Trade openness and economic growth: a cross-country empirical investigation," Journal of Development Economics, Elsevier, vol. 72(1), pages 57-89, October.
    4. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    7. Perron, Pierre & Ng, Serena, 1998. "An Autoregressive Spectral Density Estimator At Frequency Zero For Nonstationarity Tests," Econometric Theory, Cambridge University Press, vol. 14(5), pages 560-603, October.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. M. Hashem Pesaran & Yongcheol Shin, 2002. "Long-Run Structural Modelling," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 49-87.
    10. Subrata Ghatak & Jalal Siddiki, 2001. "The use of the ARDL approach in estimating virtual exchange rates in India," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(5), pages 573-583.
    11. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    12. Mohammad Hashem Pesaran & Yongcheol Shin & Richard J Smith, 1999. "Bounds Testing Approaches to the Analysis of Long Run Relationships," Edinburgh School of Economics Discussion Paper Series 46, Edinburgh School of Economics, University of Edinburgh.
    13. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    14. K. J. Joseph, 2006. "Information Technology, Innovation System and Trade Regime in Developing Countries," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-62633-1.
    15. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    16. World Bank, 2011. "World Development Indicators 2011," World Bank Publications - Books, The World Bank Group, number 2315.
    17. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    18. NS Siddharthan & Stanley Nollen, 2004. "MNE Affiliation, Firm Size and Exports Revisited: A Study of Information Technology Firms in India," Journal of Development Studies, Taylor & Francis Journals, vol. 40(6), pages 146-168.
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