IDEAS home Printed from https://ideas.repec.org/p/sap/wpaper/wp149.html
   My bibliography  Save this paper

The impact of ICT on the Italian productivity dynamics

Author

Listed:
  • Enrico Saltari
  • Clifford Wymer
  • Daniela Federici
  • Marilena Giannetti

Abstract

The last twenty years have seen a marked slowdown of the Italian productivity growth rate. The literature has underlined the role of international factors, such as globalization and adoption of the euro. In this paper we emphasize the role and dynamics of capital accumulation investigating the impact of the introduction of information technology on capital and production in the Italian economy and the extent to which that is being affected by skills in the labour force.The model is specified and estimated as continuous-time general disequilibrium framework. It presents original features: it analyzes the effects of the introduction of the ICT technology on the Italian economy not in a partial equilibrium context of a single market but from a macro point of view where input markets interact; it does not assume that these markets instantaneously clear but rather that there are imperfections and frictions; it does not impose the condition that the economy necessarily converges to a steady state. The model behaves quite well in replicating the dynamics of the Italian economy. It also shows however that there remains some structural inefficiency that worsened in recent years. In fact, our main finding shows that there exists a permanent gap between "optimal" and actual output which increased in the latter part of the sample period. While a fraction of this gap can be attributed to unavoidable (market and non market) adjustment costs some is associated to efficiency losses.

Suggested Citation

  • Enrico Saltari & Clifford Wymer & Daniela Federici & Marilena Giannetti, 2011. "The impact of ICT on the Italian productivity dynamics," Working Papers in Public Economics 149, University of Rome La Sapienza, Department of Economics and Law.
  • Handle: RePEc:sap:wpaper:wp149
    as

    Download full text from publisher

    File URL: https://web.uniroma1.it/dip_ecodir/sites/default/files/wpapers/wp149.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu, 2003. "Cross-Country Inequality Trends," Economic Journal, Royal Economic Society, vol. 113(485), pages 121-149, February.
    2. Susanto Basu & David N. Weil, 1998. "Appropriate Technology and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1025-1054.
    3. Barnett William A. & He Yijun, 1999. "Stability Analysis of Continuous-Time Macroeconometric Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-22, January.
    4. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 563-606.
    5. Enrico Saltari & Giuseppe Travaglini, 2009. "The Productivity Slowdown Puzzle. Technological and Non-technological Shocks in the Labor Market," International Economic Journal, Taylor & Francis Journals, vol. 23(4), pages 483-509.
    6. Gandolfo, Giancarlo & Padoan, Pietro Carlo, 1990. "The Italian continuous time model : Theory and empirical results," Economic Modelling, Elsevier, vol. 7(2), pages 91-132, April.
    7. Philippe Aghion & Peter Howitt, 2009. "The Economics of Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012634, December.
    8. Paul Beaudry & David A. Green, 2003. "Wages and Employment in the United States and Germany: What Explains the Differences?," American Economic Review, American Economic Association, vol. 93(3), pages 573-602, June.
    9. Daron Acemoglu, 2007. "Equilibrium Bias of Technology," Econometrica, Econometric Society, vol. 75(5), pages 1371-1409, September.
    10. Wymer, C R, 1972. "Econometric Estimation of Stochastic Differential Equation Systems," Econometrica, Econometric Society, vol. 40(3), pages 565-577, May.
    11. Comin, D. & Hobijn, B., 2004. "Cross-country technology adoption: making the theories face the facts," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 39-83, January.
    12. Paul Beaudry & Mark Doms & Ethan Lewis, 2006. "Endogenous Skill Bias in Technology Adoption: City-Level Evidence from the IT Revolution," NBER Working Papers 12521, National Bureau of Economic Research, Inc.
    13. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    14. Bergstrom,Albert Rex & Nowman,Khalid Ben, 2012. "A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends," Cambridge Books, Cambridge University Press, number 9781107411234, January.
    15. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    16. Michel De Vroey & Pierre Malgrange, 2016. "Macroeconomics," Chapters, in: Gilbert Faccarello & Heinz D. Kurz (ed.), Handbook on the History of Economic Analysis Volume III, chapter 27, pages 372-390, Edward Elgar Publishing.
    17. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    18. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    19. de La Grandville, Olivier, 1989. "In Quest of the Slutsky Diamond," American Economic Review, American Economic Association, vol. 79(3), pages 468-481, June.
    20. Bergstrom, A. R. & Nowman, K. B. & Wymer, C. R., 1992. "Gaussian estimation of a second order continuous time macroeconometric model of the UK," Economic Modelling, Elsevier, vol. 9(4), pages 313-351, October.
    21. Enrico Saltari & Giuseppe Travaglini & Clifford R. Wymer, 2010. "Investment, Productivity and Employment in the Italian Economy," Contributions to Economics, in: Giorgio Calcagnini & Enrico Saltari (ed.), The Economics of Imperfect Markets, chapter 0, pages 113-136, Springer.
    22. Olivier de La Grandville & Rainer Klump, 2000. "Economic Growth and the Elasticity of Substitution: Two Theorems and Some Suggestions," American Economic Review, American Economic Association, vol. 90(1), pages 282-291, March.
    23. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
    24. Paul Beaudry & David Green, 1998. "What is Driving US and Canadian Wages: Exogenous Technical Change or Endogenous Choice of Technique?," NBER Working Papers 6853, National Bureau of Economic Research, Inc.
    25. Francis J. Cronin & Elisabeth Colleran & Mark Gold, 1997. "Telecommunications, Factor Substitution And Economic Growth," Contemporary Economic Policy, Western Economic Association International, vol. 15(3), pages 21-31, July.
    26. Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-578, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saltari Enrico & Wymer Clifford R. & Federici Daniela & Giannetti Marilena, 2012. "Technological Adoption with Imperfect Markets in the Italian Economy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-30, April.
    2. Federici, Daniela & Saltari, Enrico, 2018. "Elasticity Of Substitution And Technical Progress: Is There A Misspecification Problem?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(1), pages 101-121, January.
    3. Lin, Justin Yifu & Liu, Zhengwen & Zhang, Bo, 2023. "Endowment, technology choice, and industrial upgrading," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 364-381.
    4. Paul Beaudry & Mark Doms & Ethan Lewis, 2006. "Endogenous skill bias in technology adoption: city-level evidence from the IT revolution," Working Paper Series 2006-24, Federal Reserve Bank of San Francisco.
    5. Jerzmanowski, Michal & Tamura, Robert, 2019. "Directed technological change & cross-country income differences: A quantitative analysis," Journal of Development Economics, Elsevier, vol. 141(C).
    6. Michael Knoblach & Fabian Stöckl, 2020. "What Determines The Elasticity Of Substitution Between Capital And Labor? A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 847-875, September.
    7. Wymer, Clifford R. & Saltari, Enrico & Federici, Daniela, 2019. "Endogenizing The Ict Sector: A Multisector Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(S1), pages 25-58, September.
    8. Jens J. Krüger, 2017. "Revisiting the world technology frontier: a directional distance function approach," Journal of Economic Growth, Springer, vol. 22(1), pages 67-95, March.
    9. Growiec, Jakub, 2018. "Factor-specific technology choice," Journal of Mathematical Economics, Elsevier, vol. 77(C), pages 1-14.
    10. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
    11. Acemoglu, Daron & Gancia, Gino & Zilibotti, Fabrizio, 2012. "Competing engines of growth: Innovation and standardization," Journal of Economic Theory, Elsevier, vol. 147(2), pages 570-601.3.
    12. Leonard Kukić, 2021. "The Nature Of Technological Failure: Patterns Of Biased Technical Change In Socialist Europe," Journal of Economic Surveys, Wiley Blackwell, vol. 35(3), pages 895-925, July.
    13. Christian Dustmann & Albrecht Glitz, 2015. "How Do Industries and Firms Respond to Changes in Local Labor Supply?," Journal of Labor Economics, University of Chicago Press, vol. 33(3), pages 711-750.
    14. Wang, Yong, 2022. "Market structure, factor endowment, and technology adoption," Research in International Business and Finance, Elsevier, vol. 63(C).
    15. Miguel A. Leon-Ledesma & Mathan Satchi, 2015. "Appropriate Technology and the Labour Share," Studies in Economics 1505, School of Economics, University of Kent, revised Nov 2016.
    16. Miguel A León-Ledesma & Mathan Satchi, 2019. "Appropriate Technology and Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(2), pages 807-835.
    17. Lin, Justin Yifu, 2003. "Development Strategy, Viability, and Economic Convergence," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 276-308, January.
    18. Jan Trenczek & Konstantin M. Wacker, 2023. "Accounting for cross-country output differences: A sectoral CES perspective," Working Papers 2023.09, International Network for Economic Research - INFER.
    19. Areendam Chanda & Beatrice Farkas, 2009. "Technology-Skill Complementarity and International TFP Differences," DEGIT Conference Papers c014_028, DEGIT, Dynamics, Economic Growth, and International Trade.
    20. Gancia, Gino & Zilibotti, Fabrizio, 2005. "Horizontal Innovation in the Theory of Growth and Development," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 3, pages 111-170, Elsevier.

    More about this item

    Keywords

    Technological adoption; Disequilibrium models; Continuous-time econometrics.;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sap:wpaper:wp149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luisa Giuriato (email available below). General contact details of provider: https://edirc.repec.org/data/dprosit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.