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Technological diffusion, banking efficiency and Solow's paradox: A frontier-based parametric and non-parametric analysis

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  • Prakash, Navendu
  • Singh, Shveta
  • Sharma, Seema

Abstract

Technological innovation is critical to secure long-term productivity benefits in any section of society. Investment in ICT is often seen as an imperative for improving banking efficiency. However, the unexpected failure of ICT in enhancing efficiency has unearthed the dilemma observed by Solow, who remarked, “You can see the computer age everywhere, except in productivity statistics”. We analyze the impact of IT investments on the technical and cost efficiency of 72 Indian commercial banks across 2008–2019 using stochastic frontier analysis with exogeneous inefficiency effects and a slacks-based measure of data envelopment analysis. We conclude that the sector has been able to leverage IT investments towards improving efficiency, thereby invalidating the claims of a productivity paradox and providing evidence that supports the birth of a new economy where IT can be viewed as a dynamic force that brings about changes in organizational design, allowing banks to achieve better efficiency levels.

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  • Prakash, Navendu & Singh, Shveta & Sharma, Seema, 2021. "Technological diffusion, banking efficiency and Solow's paradox: A frontier-based parametric and non-parametric analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 534-551.
    • Handle: RePEc:eee:streco:v:58:y:2021:i:c:p:534-551
    DOI: 10.1016/j.strueco.2021.07.007
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    1. Sushanta K. Mallick & Shirley J. Ho, 2008. "On Network Competition And The Solow Paradox: Evidence From Us Banks," Manchester School, University of Manchester, vol. 76(s1), pages 37-57, September.
    2. repec:rdg:wpaper:em-dp2006-33 is not listed on IDEAS
    3. Leibenstein, Harvey, 1978. "On the Basic Proposition of X-Efficiency Theory," American Economic Review, American Economic Association, vol. 68(2), pages 328-332, May.
    4. Koetter, Michael & Karmann, Alexander & Fiorentino, Elisabetta, 2006. "The cost efficiency of German banks: a comparison of SFA and DEA," Discussion Paper Series 2: Banking and Financial Studies 2006,10, Deutsche Bundesbank.
    5. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    6. Mastromarco, Camilla & Zago, Angelo, 2012. "On modeling the determinants of TFP growth," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 373-382.
    7. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    8. Lall, Sanjaya, 1992. "Technological capabilities and industrialization," World Development, Elsevier, vol. 20(2), pages 165-186, February.
    9. Gabriele Pellegrino & Mariacristina Piva, 2020. "Innovation, industry and firm age: are there new knowledge production functions?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 65-95, March.
    10. Laura Cavallo & Stefania Rossi, 2002. "Do environmental variables affect the performance and technical efficiency of the European banking systems? A parametric analysis using the stochastic frontier approach," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 123-146.
    11. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    12. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing," American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
    13. Giulio Cainelli & Rinaldo Evangelista & Maria Savona, 2006. "Innovation and economic performance in services: a firm-level analysis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 30(3), pages 435-458, May.
    14. Scott, Susan V. & Van Reenen, John & Zachariadis, Markos, 2017. "The long-term effect of digital innovation on bank performance: An empirical study of SWIFT adoption in financial services," Research Policy, Elsevier, vol. 46(5), pages 984-1004.
    15. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    17. Abramovitz, Moses, 1986. "Catching Up, Forging Ahead, and Falling Behind," The Journal of Economic History, Cambridge University Press, vol. 46(2), pages 385-406, June.
    18. Aiello, Francesco & Cardamone, Paola, 2012. "Regional economic divide and the role of technological spillovers in Italy. Evidence from microdata," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 205-220.
    19. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    20. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    21. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    22. 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.
    23. Murray, John D & White, Robert W, 1983. "Economies of Scale and Economies of Scope in Multiproduct Financial Institutions: A Study of British Columbia Credit Unions," Journal of Finance, American Finance Association, vol. 38(3), pages 887-902, June.
    24. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    25. Raquel Ortega-Argil�s & Mariacristina Piva & Marco Vivarelli, 2015. "The productivity impact of R&D investment: are high-tech sectors still ahead?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 204-222, April.
    26. Thijs ten Raa & William H. Greene (ed.), 2019. "The Palgrave Handbook of Economic Performance Analysis," Springer Books, Springer, number 978-3-030-23727-1, September.
    27. Chien Wang & Ram Gopal & Stanley Zionts, 1997. "Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance," Annals of Operations Research, Springer, vol. 73(0), pages 191-213, October.
    28. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    29. Syrine Ben Romdhane, 2013. "Impact of Information Technology on The Performance of Tunisian Banks: A Stochastic Frontier Analysis with Panel Data," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 9(2), pages 95-125.
    30. Darrell Parsons & Calvin Gotlieb & Michael Denny, 1993. "Productivity and computers in Canadian banking," Journal of Productivity Analysis, Springer, vol. 4(1), pages 95-113, June.
    31. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    32. Giovanni Dosi & Luigi Marengo & Alessandro Nuvolari, 2020. "Institutions and economic change: some notes on self-organization, power and learning in human organizations," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 1-22, March.
    33. Fagerberg, Jan & Verspagen, Bart, 2002. "Technology-gaps, innovation-diffusion and transformation: an evolutionary interpretation," Research Policy, Elsevier, vol. 31(8-9), pages 1291-1304, December.
    34. 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.
    35. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    36. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    37. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    38. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    39. Osabuohien Evans S.C, 2008. "Ict And Nigerian Banks Reforms: Analysis Of Anticipated Impacts In Selected Banks," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 2(2), pages 67-76.
    40. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    41. Cristiano Antonelli, 2006. "Diffusion as a Process of Creative Adoption," The Journal of Technology Transfer, Springer, vol. 31(2), pages 211-226, March.
    42. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    43. Kambhampati, Uma S., 2006. "Financial liberalisation, corporate governance and the efficiency of firms in Indian manufacturing," Structural Change and Economic Dynamics, Elsevier, vol. 17(1), pages 46-69, January.
    44. Mohnen, Pierre, 2019. "R&D, innovation and productivity," MERIT Working Papers 2019-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    45. Luca Casolaro & Giorgio Gobbi, 2007. "Information Technology and Productivity Changes in the Banking Industry," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 36(1), pages 43-76, February.
    46. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
    47. Kox, Henk L.M. & van Leeuwen, George, 2013. "Market selection and scale inefficiency – A new methodology applied to EU business services," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 77-94.
    48. Md. Hashibul Hassan & Mahmudul Hassan, 2018. "Cost efficiency of banking sector of Bangladesh: evidence using the stochastic frontier analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 8(6), pages 208-224, June.
    49. Tser-Yieth Chen, 2002. "A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 492-500, May.
    50. Francesco Aiello & Graziella Bonanno, 2013. "Profit and cost efficiency in the Italian banking industry (2006-2011)," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 190-205.
    51. Thakor, Anjan V., 1999. "Information technology and financial services consolidation," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 697-700, February.
    52. Beccalli, Elena, 2007. "Does IT investment improve bank performance? Evidence from Europe," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2205-2230, July.
    53. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-1171, September.
    54. Bhattacharyya, Aditi & Pal, Sudeshna, 2013. "Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis," Review of Financial Economics, Elsevier, vol. 22(3), pages 109-117.
    55. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, September.
    56. Giovanni Dosi, 2000. "Sources, Procedures, and Microeconomic Effects of Innovation," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 2, pages 63-114, Edward Elgar Publishing.
    57. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    58. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
    59. Md Hashibul Hassan & Mahmudul Hassan, 2018. "Cost Efficiency of Banking Sector of Bangladesh: Evidence Using the Stochastic Frontier Analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 8(6), pages 204-224.
    60. Baba Prasad & Patrick T. Harker, 1997. "Examining the Contribution of Information Technology Toward Productivity and Profitability in U.S. Retail Banking," Center for Financial Institutions Working Papers 97-09, Wharton School Center for Financial Institutions, University of Pennsylvania.
    61. 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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