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ICT and R&D as inputs or efficiency determinants? Analysing Italian manufacturing firms (2007–2009)

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  • Graziella Bonanno

    () (University of Calabria)

Abstract

Abstract Are Information and Communication Technology (ICT) and Research & Development (R&D) productive inputs or efficiency determinants? This is the topic of this paper, which analyses a sample of 2691 Italian manufacturing firms over the period 2007–2009. Data are from a merged EFIGE–AIDA dataset. The empirical setting is based on a production function estimated through the stochastic frontier approach. ICT and R&D are used once as inputs, once as efficiency determinants. The results show that the elasticities of production with respect to ICT and R&D investments are quite high (0.08 for ICT and 0.04 for R&D) when they enter into the model only as inputs. We also documented that ICT and R&D contribute positively to explain the efficiency scores.

Suggested Citation

  • Graziella Bonanno, 2016. "ICT and R&D as inputs or efficiency determinants? Analysing Italian manufacturing firms (2007–2009)," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 383-404, December.
  • Handle: RePEc:spr:eurasi:v:6:y:2016:i:3:d:10.1007_s40821-015-0035-z
    DOI: 10.1007/s40821-015-0035-z
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    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Stefanie Haller & Iulia Siedschlag, 2011. "Determinants of ICT adoption: evidence from firm-level data," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3775-3788.
    3. Erik Brynjolfsson & Loren Hitt & Shinkyu Yang, 2002. "Intangible Assets: How the Interaction of Computers and Organizational Structure Affects Stock Market Valuations," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(1), pages 137-198.
    4. 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).
    5. C. Imbriani & R. Pittiglio & F. Reganati & E. Sica, 2014. "How Much do Technological Gap, Firm Size, and Regional Characteristics Matter for the Absorptive Capacity of Italian Enterprises?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(1), pages 57-72, February.
    6. Francesca Battaglia & Vincenzo Farina & Franco Fiordelisi & Ornella Ricci, 2010. "The efficiency of cooperative banks: the impact of environmental economic conditions," Applied Financial Economics, Taylor & Francis Journals, vol. 20(17), pages 1363-1376.
    7. Michele Benvenuti & Luca Casolaro & Elena Gennari, 2014. "Metrics of Innovation: Measuring the Italian Gap," Politica economica, Società editrice il Mulino, issue 1, pages 5-50.
    8. Pablo D'Este & Francesco Rentocchini & Jaider Vega-Jurado, 2014. "The Role of Human Capital in Lowering the Barriers to Engaging in Innovation: Evidence from the Spanish Innovation Survey," Industry and Innovation, Taylor & Francis Journals, vol. 21(1), pages 1-19, January.
    9. Amit Gandhi & Salvador Navarro & David Rivers, 2011. "On the Identification of Production Functions: How Heterogeneous is Productivity?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    10. Piva, Mariacristina & Santarelli, Enrico & Vivarelli, Marco, 2005. "The skill bias effect of technological and organisational change: Evidence and policy implications," Research Policy, Elsevier, vol. 34(2), pages 141-157, March.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    13. Robert Lensink & Aljar Meesters, 2014. "Institutions and Bank Performance: A Stochastic Frontier Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 67-92, February.
    14. Pellegrino, Gabriele & Piva, Mariacristina & Vivarelli, Marco, 2012. "Young firms and innovation: A microeconometric analysis," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 329-340.
    15. L. Becchetti & David Bedoya & L. Paganetto, 2003. "ICT Investment, Productivity and Efficiency: Evidence at Firm Level Using a Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 20(2), pages 143-167, September.
    16. 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.
    17. Silvia Fabiani & Fabiano Schivardi & Sandro Trento, 2005. "ICT adoption in Italian manufacturing: firm-level evidence," Industrial and Corporate Change, Oxford University Press, vol. 14(2), pages 225-249, April.
    18. 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.
    19. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    20. Sidney E. Harris & Joseph L. Katz, 1991. "Organizational Performance and Information Technology Investment Intensity in the Insurance Industry," Organization Science, INFORMS, vol. 2(3), pages 263-295, August.
    21. Cequera, Daniel & Klein, Gordon J., 2008. "Endogenous Firm Heterogeneity, ICT and R&D Incentives," ZEW Discussion Papers 08-126, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    22. Gabriele Pellegrino & Mariacristina Piva, 2014. "Do innovative inputs lead to different innovative outputs in mature and young firms?," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1497, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    23. 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.
    24. Aiello, Francesco & Castiglione, Concetta, 2014. "Being efficient to stay strong in a weak economy. The case of calabrian manufacturing firms," MPRA Paper 54366, University Library of Munich, Germany.
    25. Concetta Castiglione, 2012. "Technical efficiency and ICT investment in Italian manufacturing firms," Applied Economics, Taylor & Francis Journals, vol. 44(14), pages 1749-1763, May.
    26. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    27. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    28. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2008. "An exploration of the effects of the interaction between ICT and labor force on economic growth in transition economies," International Journal of Production Economics, Elsevier, vol. 115(2), pages 471-481, October.
    29. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    30. Peter Voigt & Pietro Moncada-Paternò-Castello, 2012. "Can Fast Growing R&D-Intensive Smes Affect the Economic Structure of the Eu Economy?: A Projection to the Year 2020," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 2(2), pages 96-128, December.
    31. Bos, Jaap W. B. & Heid, Frank & Koetter, Michael & Kolari, James W. & Kool, Clemens J. M., 2005. "Inefficient or just different? Effects of heterogeneity on bank efficiency scores," Discussion Paper Series 2: Banking and Financial Studies 2005,15, Deutsche Bundesbank.
    32. 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.
    33. Matteo Bugamelli & Patrizio Pagano, 2004. "Barriers to investment in ICT," Applied Economics, Taylor & Francis Journals, vol. 36(20), pages 2275-2286.
    34. D'Este,Pablo & Rentocchini,Francesco & Vega Jurado,Jaider M., 2012. "The role of human capital in lowering barriers to engage in innovation: evidence from the Spanish innovation survey," INGENIO (CSIC-UPV) Working Paper Series 201206, INGENIO (CSIC-UPV), revised 03 Aug 2012.
    35. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    36. Pierre Mohnen & Bronwyn Hall, 2013. "Innovation and Productivity: An Update," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 47-65, June.
    37. 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.
    38. 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.
    39. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    40. 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.
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    Cited by:

    1. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    2. repec:spr:eurase:v:7:y:2017:i:1:d:10.1007_s40822-016-0060-y is not listed on IDEAS
    3. Piva, Mariacristina & Vivarelli, Marco, 2017. "R&D Expenditures and Employment: Evidence from Europe," GLO Discussion Paper Series 18, Global Labor Organization (GLO).
    4. Piva, Mariacristina & Vivarelli, Marco, 2017. "Is R&D Good for Employment? Microeconometric Evidence from the EU," IZA Discussion Papers 10581, Institute for the Study of Labor (IZA).
    5. repec:gam:jsusta:v:10:y:2018:i:4:p:1279-:d:142412 is not listed on IDEAS
    6. repec:gam:jsusta:v:9:y:2017:i:7:p:1216-:d:104372 is not listed on IDEAS
    7. repec:gam:jecomi:v:5:y:2017:i:4:p:48-:d:121952 is not listed on IDEAS
    8. Mariacristina Piva & Marco Vivarelli, 2018. "Is Innovation Destroying Jobs? Firm-Level Evidence from the EU," Sustainability, MDPI, Open Access Journal, vol. 10(4), pages 1-16, April.

    More about this item

    Keywords

    ICT; R&D; Stochastic frontier approach; Efficiency;

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L69 - Industrial Organization - - Industry Studies: Manufacturing - - - Other
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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