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Human capital accumulation in R&D-based growth models

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  • Mattalia, Claudio

Abstract

This paper develops a model that reproduces the essential aspects of the recent ICT-based economy using the framework of endogenous growth theory in which a central role is played by human capital accumulation. In particular, it considers a multi-sectoral growth model in discrete time with infinite horizon, endogenous growth, embodied technological progress, horizontal differentiation and “lab-equipment” specification of R&D, and with human capital accumulation (represented by the fact that households devote a fraction of their time to schooling), in order to take into account the crucial role of the latter when new technologies are present. In this model it is possible to obtain some important results, both analytically and through simulations, either in the case of constant productivity of schooling and in the case in which this productivity is a function of technological progress. The first conclusion is that the productivity of schooling affects the long run growth of the economy, contrary to the productivities of the other sectors, hence in this model human capital accumulation is the true engine of growth. It is then possible to study the reaction of the economy to different types of shocks, and to compare the results with the empirical evidence. The conclusion is that the model is able to reproduce such evidence, suggesting that the interaction between ICT and human capital is one of the drivers of the recent economic performance.

Suggested Citation

  • Mattalia, Claudio, 2012. "Human capital accumulation in R&D-based growth models," Economic Modelling, Elsevier, vol. 29(3), pages 601-609.
  • Handle: RePEc:eee:ecmode:v:29:y:2012:i:3:p:601-609
    DOI: 10.1016/j.econmod.2011.12.018
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    References listed on IDEAS

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    1. Raouf Boucekkine & David de la Croix & Yiannis Vailakis, 2002. "Technological Shocks and IT Revolutions," Recherches économiques de Louvain, De Boeck Université, vol. 68(1), pages 75-89.
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    Cited by:

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    2. Gangopadhyay, Kausik & Nishimura, Atsushi & Pal, Rupayan, 2016. "Can the information technology revolution explain the incidence of co-movement of skill premium and stock prices?," Economic Modelling, Elsevier, vol. 53(C), pages 107-120.
    3. Pop Silaghi, Monica Ioana & Alexa, Diana & Jude, Cristina & Litan, Cristian, 2014. "Do business and public sector research and development expenditures contribute to economic growth in Central and Eastern European Countries? A dynamic panel estimation," Economic Modelling, Elsevier, vol. 36(C), pages 108-119.
    4. repec:ers:journl:v:xxiv:y:2021:i:special3:p:402-418 is not listed on IDEAS
    5. Pierre‐Richard Agénor & Barış Alpaslan, 2018. "Infrastructure And Industrial Development With Endogenous Skill Acquisition," Bulletin of Economic Research, Wiley Blackwell, vol. 70(4), pages 313-334, October.
    6. Voyvoda, Ebru & Yeldan, Erinç, 2015. "Public policy and growth in Canada: An applied endogenous growth model with human and knowledge capital accumulation," Economic Modelling, Elsevier, vol. 50(C), pages 298-309.
    7. Alejandro Barragán-Ocaña & Gerardo Reyes-Ruiz & Samuel Olmos-Peña & Hortensia Gómez-Viquez, 2020. "Approach to the identification of an alternative technological innovation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 23-45, January.
    8. Janusz Myszczyszyn & Irena Lacka & Sylwia Golab & Beata Bedzik & Blazej Supron, 2021. "A Preliminary Analysis of the Relationship between Economic Growth and Selected Innovativeness Indicators on the Example of Four European Union Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 402-418.
    9. Haroon Ur Rashid Khan & Khalid Zaman & Anwar Khan & Talat Islam, 2017. "Quadrilateral Relationship Between Information and Communications Technology, Patent Applications, Research and Development Expenditures, and Growth Factors: Evidence from the Group of Seven (G-7) Cou," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 1165-1191, September.
    10. Rafiq, Shuddhasattwa & Salim, Ruhul & Smyth, Russell, 2016. "The moderating role of firm age in the relationship between R&D expenditure and financial performance: Evidence from Chinese and US mining firms," Economic Modelling, Elsevier, vol. 56(C), pages 122-132.

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    More about this item

    Keywords

    Information technology; Endogenous growth; Embodied technological progress;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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