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The “Peter Pan Syndrome” in Emerging Markets: The Productivity-Transparency Trade-off in IT Adoption

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  • K. Sudhir

    (Yale School of Management, New Haven, Connecticut 06520)

  • Debabrata Talukdar

    (School of Management, State University of New York at Buffalo, Buffalo, New York 14260)

Abstract

Firms invest in technology to increase productivity. Yet in emerging markets, where a culture of informality is widespread, information technology (IT) investments leading to greater transparency can impose a cost through higher taxes and the need for regulatory compliance. The tendency of firms to avoid productivity-enhancing technologies and remain small to avoid transparency has been dubbed the “Peter Pan Syndrome.” We examine whether firms make the trade-off between productivity and transparency by examining IT adoption in the Indian retail sector. We find that computer technology adoption is lower when firms are motivated to avoid transparency. Specifically, technology adoption is lower when there is greater corruption, but higher when there is better enforcement and auditing. So, firms have a higher productivity gain threshold to adopt computers in corrupt business environments that suffer from patchy and variable enforcement of the tax laws. Not accounting for this motivation to hide from the formal sector underestimates productivity gains from computer adoption. Thus, in addition to their direct effects on the economy, enforcement, auditing, and corruption can have indirect effects through their negative impact on adoption of productivity-enhancing technologies that also increase operational transparency.

Suggested Citation

  • K. Sudhir & Debabrata Talukdar, 2015. "The “Peter Pan Syndrome” in Emerging Markets: The Productivity-Transparency Trade-off in IT Adoption," Marketing Science, INFORMS, vol. 34(4), pages 500-521, July.
  • Handle: RePEc:inm:ormksc:v:34:y:2015:i:4:p:500-521
    DOI: 10.1287/mksc.2015.0921
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    1. Johnson, Simon & Kaufmann, Daniel & McMillan, John & Woodruff, Christopher, 2000. "Why do firms hide? Bribes and unofficial activity after communism," Journal of Public Economics, Elsevier, vol. 76(3), pages 495-520, June.
    2. Susanto Basu & John G. Fernald & Nicholas Oulton & Sylaja Srinivasan, 2003. "The Case of the Missing Productivity Growth: Or, Does Information Technology Explain why Productivity Accelerated in the US but not the UK?," NBER Working Papers 10010, National Bureau of Economic Research, Inc.
    3. Paolo Angelini & Andrea Generale, 2008. "On the Evolution of Firm Size Distributions," American Economic Review, American Economic Association, vol. 98(1), pages 426-438, March.
    4. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    5. Cull, Robert & Xu, Lixin Colin, 2005. "Institutions, ownership, and finance: the determinants of profit reinvestment among Chinese firms," Journal of Financial Economics, Elsevier, vol. 77(1), pages 117-146, July.
    6. Susanto Basu & John G. Fernald & Nicholas Oulton & Sylaja Srinivasan, 2004. "The Case of the Missing Productivity Growth, or Does Information Technology Explain Why Productivity Accelerated in the United States but Not in the United Kingdom?," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 9-82, National Bureau of Economic Research, Inc.
    7. Marcouiller, Douglas & Young, Leslie, 1995. "The Black Hole of Graft: The Predatory State and the Informal Economy," American Economic Review, American Economic Association, vol. 85(3), pages 630-646, June.
    8. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    9. C.J. Krizan & John Haltiwanger & Lucia Foster, 2002. "The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade," Working Papers 02-18, Center for Economic Studies, U.S. Census Bureau.
    10. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
    11. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 5(1), pages 3-34.
    12. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    13. Silvia Fabiani & Fabiano Schivardi & Sandro Trento, 2005. "ICT adoption in Italian manufacturing: firm-level evidence," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 14(2), pages 225-249, April.
    14. Dabla-Norris, Era & Gradstein, Mark & Inchauste, Gabriela, 2008. "What causes firms to hide output? The determinants of informality," Journal of Development Economics, Elsevier, vol. 85(1-2), pages 1-27, February.
    15. Yoshiaki Azuma & Herschel I. Grossman, 2008. "A Theory Of The Informal Sector," Economics and Politics, Wiley Blackwell, vol. 20(1), pages 62-79, March.
    16. Ann P. Bartel & Casey Ichniowski & Kathryn L. Shaw, 2005. "How Does Information Technology Really Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement and Worker Skills," NBER Working Papers 11773, National Bureau of Economic Research, Inc.
    17. Transparency International TI, 2012. "Corruption Perceptions Index 2012," Working Papers id:5186, eSocialSciences.
    18. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    19. Bird, Richard M. & Zolt, Eric M., 2008. "Technology and Taxation in Developing Countries: From Hand to Mouse," National Tax Journal, National Tax Association;National Tax Journal, vol. 61(4), pages 791-821, December.
    20. Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
    21. Barrie Russell, 2010. "Revenue Administration: Managing the Shadow Economy," IMF Technical Notes and Manuals 2010/014, International Monetary Fund.
    22. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    23. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    24. Barrie Russell, 2010. "Revenue Administration; Managing the Shadow Economy," IMF Technical Notes and Manuals 10/14, International Monetary Fund.
    25. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    26. Amalia R. Miller & Catherine E. Tucker, 2014. "Electronic Discovery and the Adoption of Information Technology," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 30(2), pages 217-243.
    27. Friedman, Eric & Johnson, Simon & Kaufmann, Daniel & Zoido-Lobaton, Pablo, 2000. "Dodging the grabbing hand: the determinants of unofficial activity in 69 countries," Journal of Public Economics, Elsevier, vol. 76(3), pages 459-493, June.
    28. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    29. Simon Commander & Rupert Harrison & Naercio Menezes-Filho, 2011. "ICT and Productivity in Developing Countries: New Firm-Level Evidence from Brazil and India," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 528-541, May.
    30. Mishra, Prachi & Subramanian, Arvind & Topalova, Petia, 2008. "Tariffs, enforcement, and customs evasion: Evidence from India," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 1907-1925, October.
    31. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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