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Economic and technological performances of international firms

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  • Michele Cincera

Abstract

The research performed throughout this dissertation aims at implementing quantitative methods in order to assess economic and technological performances of firms, i.e. it tries to assess the impacts of the determinants of technological activity on the results of this activity. For this purpose, a representative sample of the most important R&D firms in the world is constituted. The micro-economic nature of the analysis, as well as its international dimension are two main features of this research at the empirical level. The second chapter illustrates the importance of R&D investments, patenting activities and other measures of technological activities performed by firms over the last 10 years. The third chapter describes the main features as well as the construction of the database. The raw data sample consists of comparable detailed micro-level data on 2676 large manufacturing firms from several countries. These firms have reported important R&D expenditures over the period 1980-1994. The fourth chapter explores the dynamic structure of the patent-R&D relationship by considering the number of patent applications as a function of present and lagged levels of R&D expenditures. R&D spillovers as well as technological and geographical opportunities are taken into account as additional determinants in order to explain patenting behaviours. The estimates are based on recently developed econometric techniques that deal with the discrete non-negative nature of the dependent patent variable as well as the simultaneity that can arise between the R&D decisions and patenting. The results show evidence of a rather contemporaneous impact of R&D activities on patenting. As far as R&D spillovers are concerned, these externalities have a significantly higher impact on patenting than own R&D. Furthermore, these effects appear to take more time, three years on average, to show up in patents. The fifth chapter explores the contribution of own stock of R&D capital to productivity performance of firms. To this end the usual productivity residual methodology is implemented. The empirical section presents a first set of results which replicate the analysis of previous studies and tries to assess the robustness of the findings with regard to the above issues. Then, further results, based on different sub samples of the data set, investigate to what extent the R&D contribution on productivity differs across firms of different industries and geographic areas or between small and large firms and low and high-tech firms. The last section explores more carefully the simultaneity issue. On the whole, the estimates indicate that R&D has a positive impact on productivity performances. Yet, this contribution is far from being homogeneous across the different dimensions of data or according to the various assumptions retained in the productivity model. The last empirical chapter goes deeper into the analysis of firms' productivity increases, by considering besides own R&D activities the impact of technological spillovers. The chapter begins by surveying the alternative ways proposed in the literature in order to asses the effect of R&D spillovers on productivity. The main findings reported by some studies at the micro level are then outlined. Then, the framework to formalize technological externalities and other technological determinants is exposed. This framework is based on a positioning of firms into a technological space using their patent distribution across technological fields. The question of whether the externalities generated by the technological and geographic neighbours are different on the recipient's productivity is also addressed by splitting the spillover variable into a local and national component. Then, alternative measures of technological proximity are examined. Some interesting observations emerge from the empirical results. First, the impact of spillovers on productivity increases is positive and much more important than the contribution of own R&D. Second, spillover effects are not the same according to whether they emanate from firms specialized in similar technological fields or firms more distant in the technological space. Finally, the magnitude and direction of these effects are radically different within and between the pillars of the Triad. While European firms do not appear to particularly benefit from both national and international sources of spillovers, US firms are mainly receptive to their national stock and Japanese firms take advantage from the international stock.

Suggested Citation

  • Michele Cincera, 1998. "Economic and technological performances of international firms," ULB Institutional Repository 2013/212081, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/212081
    Note: Degree: Doctorat en sciences économiques, Orientation économie
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    Citations

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    Cited by:

    1. L. Aldieri & C. P. Vinci, 2018. "Innovation effects on employment in high-tech and low-tech industries: evidence from large international firms within the triad," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 229-243, June.
    2. Robert Wieser, 2005. "Research And Development Productivity And Spillovers: Empirical Evidence At The Firm Level," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 587-621, September.
    3. 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.
    4. Aldieri, Luigi & Aprile, Maria Carmela & Vinci, Concetto Paolo, 2015. "R&D Spillovers Effects on strategic behaviour of Large International Firms," MPRA Paper 63402, University Library of Munich, Germany.
    5. Luigi Aldieri & Michele Cincera, 2009. "Geographic and technological R&D spillovers within the triad: micro evidence from US patents," The Journal of Technology Transfer, Springer, vol. 34(2), pages 196-211, April.
    6. Jarle Møen & Helge Sandvig Thorsen, 2017. "Publication Bias in the Returns to R&D Literature," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 987-1013, September.
    7. Jože P. Damijan & Črt Kostevc & Matija Rojec, 2011. "Innovation and Firms’ Productivity Growth in Slovenia: Sensitivity of Results to Sectoral Heterogeneity and to Estimation Method," Advances in Spatial Science, in: Peter Nijkamp & Iulia Siedschlag (ed.), Innovation, Growth and Competitiveness, chapter 0, pages 165-193, Springer.
    8. Aldieri, Luigi & Sena, Vania & Vinci, Concetto Paolo, 2018. "Domestic R&D spillovers and absorptive capacity: Some evidence for US, Europe and Japan," International Journal of Production Economics, Elsevier, vol. 198(C), pages 38-49.
    9. Robert Wieser, 2001. "R&D and Productivity: Evidence for European and U.S. Firms in the 1990s," WIFO Working Papers 159, WIFO.
    10. Massimiliano Agovino & Luigi Aldieri & Antonio Garofalo & Concetto Paolo Vinci, 2018. "R&D spillovers and employment: evidence from European patent data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 247-260, May.
    11. Ana Lara GÓMEZ, 2015. "Technological Spillovers of Research Infrastructures," Departmental Working Papers 2015-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    12. Luigi Aldieri, 2011. "Technological and geographical proximity effects on knowledge spillovers: evidence from the US patent citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(6), pages 597-607, January.
    13. Harris, Richard & Li, Qian Cher & Trainor, Mary, 2009. "Is a higher rate of R&D tax credit a panacea for low levels of R&D in disadvantaged regions?," Research Policy, Elsevier, vol. 38(1), pages 192-205, February.
    14. Foreman-Peck, James & Zhou, Peng, 2023. "Specialisation precedes diversification: R&D productivity effects," Research Policy, Elsevier, vol. 52(7).
    15. Robert Wieser, 2001. "R&D and Productivity: Empirical Evidence at the Firm Level," WIFO Working Papers 158, WIFO.
    16. Aldieri, Luigi & Garofalo, Antonio & Vinci, Concetto Paolo, 2015. "R&D Spillovers and Employment: A Micro-econometric Analysis," MPRA Paper 67269, University Library of Munich, Germany.
    17. Aldieri, Luigi & Vinci, Concetto Paolo, 2015. "Industry Spillovers Effects on Productivity of Large International Firms," MPRA Paper 62429, University Library of Munich, Germany.

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