IDEAS home Printed from https://ideas.repec.org/a/red/issued/06-21.html
   My bibliography  Save this article

Technological Complexity and Economic Growth

Author

Listed:
  • Mihaela Iulia Pintea

    (Florida International University)

  • Peter Thompson

    (Florida International University)

Abstract

Over the last fifty years there have been large secular increases in educational attainment and R&D intensity. The fact that these trends have not stimulated more rapid income growth has been a persistent puzzle for growth theorists. We construct a model of endogenous economic growth in which income growth, R&D intensity, and educational attainment depend on the complexity of new technologies. An increase in complexity that makes passive learning more difficult induces increases in R&D and education, alongside a decline in income growth. Our explanation also predicts a concurrent rise in the skill premium. (Copyright: Elsevier)

Suggested Citation

  • Mihaela Iulia Pintea & Peter Thompson, 2007. "Technological Complexity and Economic Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 276-293, April.
  • Handle: RePEc:red:issued:06-21
    DOI: 10.1016/j.red.2006.12.001
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1016/j.red.2006.12.001
    Download Restriction: Access to full texts is restricted to ScienceDirect subscribers and institutional members. See http://www.sciencedirect.com/ for details.

    File URL: https://libkey.io/10.1016/j.red.2006.12.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    2. Allen, Steven G, 2001. "Technology and the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 440-483, April.
    3. Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February.
    4. Peter Thompson, 2001. "How Much Did the Liberty Shipbuilders Learn? New Evidence for an Old Case Study," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 103-137, February.
    5. Oded Galor & Omer Moav, 2000. "Ability-Biased Technological Transition, Wage Inequality, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 469-497.
    6. Charles I. Jones, 2002. "Sources of U.S. Economic Growth in a World of Ideas," American Economic Review, American Economic Association, vol. 92(1), pages 220-239, March.
    7. Brunello, Giorgio & Comi, Simona, 2004. "Education and earnings growth: evidence from 11 European countries," Economics of Education Review, Elsevier, vol. 23(1), pages 75-83, February.
    8. Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 253-290.
    9. Dennis Epple & Linda Argote & Rukmini Devadas, 1991. "Organizational Learning Curves: A Method for Investigating Intra-Plant Transfer of Knowledge Acquired Through Learning by Doing," Organization Science, INFORMS, vol. 2(1), pages 58-70, February.
    10. Gavin Sinclair & Steven Klepper & Wesley Cohen, 2000. "What's Experience Got to Do With It? Sources of Cost Reduction in a Large Specialty Chemicals Producer," Management Science, INFORMS, vol. 46(1), pages 28-45, January.
    11. Kazuhiro Mishina, 1999. "Learning by New Experiences: Revisiting the Flying Fortress Learning Curve," NBER Chapters, in: Learning by Doing in Markets, Firms, and Countries, pages 145-184, National Bureau of Economic Research, Inc.
    12. George Psacharopoulos & Richard Layard, 1979. "Human Capital and Earnings: British Evidence and a Critique," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(3), pages 485-503.
    13. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 369-405.
    14. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    15. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 367-397.
    16. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    17. McKinley L. Blackburn & David E. Bloom & Richard B. Freeman, 1989. "The Declining Economic Position of Less-Skilled American Males," NBER Working Papers 3186, National Bureau of Economic Research, Inc.
    18. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    19. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    20. Boyan Jovanovic & Yaw Nyarko, 1995. "A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 247-305.
    21. Elias Dinopoulos & Peter Thompson, 1999. "Reassessing the empirical validity of the human-capital augmented neoclassical growth model," Journal of Evolutionary Economics, Springer, vol. 9(1), pages 135-154.
    22. Naomi R. Lamoreaux & Daniel M. G. Raff & Peter Temin, 1999. "Learning by Doing in Markets, Firms, and Countries," NBER Books, National Bureau of Economic Research, Inc, number lamo99-1, March.
    23. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," NBER Working Papers 3577, National Bureau of Economic Research, Inc.
    24. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    25. Joseph G. Altonji & Thomas A. Dunn, 1995. "The Effects of School and Family Characteristics on the Return to Education," NBER Working Papers 5072, National Bureau of Economic Research, Inc.
    26. Knight, J B & Sabot, R H, 1981. "The Returns to Education: Increasing with Experience or Decreasing with Expansion?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 43(1), pages 51-71, February.
    27. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    28. Dan Ben-David & Robin L. Lumsdaine & David H. Papell, 2003. "Unit roots, postwar slowdowns and long-run growth: Evidence from two structural breaks," Empirical Economics, Springer, vol. 28(2), pages 303-319, April.
    29. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    30. Peter J. Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114, National Bureau of Economic Research, Inc.
    31. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-1165, December.
    32. Huw Lloyd-Ellis, 1999. "Endogenous Technological Change and Wage Inequality," American Economic Review, American Economic Association, vol. 89(1), pages 47-77, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andreas Pollak, 2014. "Rising R&D Intensity And Economic Growth," Economic Inquiry, Western Economic Association International, vol. 52(4), pages 1427-1445, October.
    2. Anca Munteanu, 2015. "Does it Pay Off to be trusting in Romania? Social Capital Effects on Income Distribution," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(10), pages 78-85, October.
    3. Bucci, Alberto & Carbonari, Lorenzo & Gil, Pedro Mazeda & Trovato, Giovanni, 2021. "Economic growth and innovation complexity: An empirical estimation of a Hidden Markov Model," Economic Modelling, Elsevier, vol. 98(C), pages 86-99.
    4. Ewodo-Amougou, Marcel Rodrigue & Sapnken, Flavian Emmanuel & Mfetoum, Inoussah Moungnutou & Tamba, Jean Gaston, 2023. "Analysis of the relationship between oil rent and crude oil production in Cameroon: Evidence from ARDL and NARDL models," Resources Policy, Elsevier, vol. 85(PB).
    5. Nguyen, Canh Phuc, 2022. "Does economic complexity matter for the shadow economy?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 210-227.
    6. Mewes, Lars & Broekel, Tom, 2022. "Technological complexity and economic growth of regions," Research Policy, Elsevier, vol. 51(8).
    7. Dan He & Yahua Tang & Luyan Wang & Muhammad Mohsin, 2023. "Can increasing technological complexity help strengthen regional economic resilience?," Economic Change and Restructuring, Springer, vol. 56(6), pages 4043-4070, December.
    8. Pedro Gil, 2013. "Animal spirits and the composition of innovation in a lab-equipment R&D model with transition," Journal of Economics, Springer, vol. 108(1), pages 1-33, January.
    9. Parcu, Pier Luigi & Innocenti, Niccolò & Carrozza, Chiara, 2022. "Ubiquitous technologies and 5G development. Who is leading the race?," Telecommunications Policy, Elsevier, vol. 46(4).
    10. Jakub Growiec & Ingmar Schumacher, 2013. "Technological opportunity, long-run growth, and convergence," Oxford Economic Papers, Oxford University Press, vol. 65(2), pages 323-351, April.
    11. Tom Broekel, 2019. "Using structural diversity to measure the complexity of technologies," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-23, May.
    12. Growiec, Jakub, 2013. "A microfoundation for normalized CES production functions with factor-augmenting technical change," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2336-2350.
    13. Nguyen, Canh Phuc & Nguyen, Bach & Duy Tung, Bui & Dinh Su, Thanh, 2021. "Economic complexity and entrepreneurship density: A non-linear effect study," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    14. Isaac Ketu & Arsene Mouongue Kelly & Jules-Eric Tchapchet Tchouto, 2024. "Does economic complexity reduce the size of the shadow economy in African countries?," SN Business & Economics, Springer, vol. 4(1), pages 1-27, January.
    15. Canh, Nguyen Phuc & Schinckus, Christophe & Thanh, Su Dinh, 2020. "The natural resources rents: Is economic complexity a solution for resource curse?," Resources Policy, Elsevier, vol. 69(C).

    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. Peter Thompson & Mihaela Pintea, 2005. "Technological Complexity, R&D and Education: Some Pleasant Arithmetic," Computing in Economics and Finance 2005 185, Society for Computational Economics.
    2. Thompson, Peter, 2010. "Learning by Doing," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 429-476, Elsevier.
    3. Adriaan Zon & Roberto Antonietti, 2016. "Education and training in a model of endogenous growth with creative wear-and-tear," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(1), pages 35-62, April.
    4. Jorge Saba Arbache, 2001. "Trade Liberalisation and Labor Markets in Developing Countries: Theory and Evidence," Studies in Economics 0112, School of Economics, University of Kent.
    5. David B. Audretsch & Mark Sanders, 2007. "Globalization and the Rise of the Entrepreneurial Economy," Jena Economics Research Papers 2007-003, Friedrich-Schiller-University Jena.
    6. Borghans, Lex & ter Weel, Bas, 2007. "The diffusion of computers and the distribution of wages," European Economic Review, Elsevier, vol. 51(3), pages 715-748, April.
    7. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
    8. Pablo Acosta, 2001. "Los determinantes de la desigualdad en los ingresos laborales: El rol de las nuevas tecnologías y la apertura comercial," IIE, Working Papers 034, IIE, Universidad Nacional de La Plata.
    9. Yona Rubinstein & Daniel Tsiddon, 2004. "Coping with Technological Change: The Role of Ability in Making Inequality so Persistent," Journal of Economic Growth, Springer, vol. 9(3), pages 305-346, September.
    10. Anelí Bongers, 2017. "Learning and forgetting in the jet fighter aircraft industry," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    11. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    12. Paolo Epifani & Gino Gancia, 2008. "The Skill Bias of World Trade," Economic Journal, Royal Economic Society, vol. 118(530), pages 927-960, July.
    13. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    14. Philippe Aghion & Ufuk Akcigit & Antonin Bergeaud & Richard Blundell & David Hemous, 2019. "Innovation and Top Income Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 1-45.
    15. De Santis, Roberto A., 2002. "Wage inequality between and within groups: trade-induced or skill-bias technical change? Alternative age models for the UK," Economic Modelling, Elsevier, vol. 19(5), pages 725-746, November.
    16. Crifo, Patricia, 2008. "Skill supply and biased technical change," Labour Economics, Elsevier, vol. 15(5), pages 812-830, October.
    17. Hollanders, Hugo & Weel, Bas ter, 1999. "Skill-Biased Technical Change: On Endogenous Growth, Wage Inequality and Government Intervention," Research Memorandum 013, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    18. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    19. Majumdar, Sumit K., 2014. "Technology and wages: Why firms invest and what happens," Technology in Society, Elsevier, vol. 39(C), pages 44-54.
    20. Paolo Epifani, 2003. "Trade liberalization, Firm Performances and Labor Market Outcomes in the Developing World, what Can We Learn From Micro-Level Data?," Rivista italiana degli economisti, Società editrice il Mulino, issue 3, pages 455-486.

    More about this item

    Keywords

    Endogenous growth; Learning; R&D; Educational attainment; Wage inequality; Technological complexity;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General

    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:red:issued:06-21. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.