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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

    () (Dipartimento di Economia, Statistica e Finanza, Università della Calabria)

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. The empirical setting is based on a production function estimated through the Stochastic Frontier (SF) approach. ICT and R&D are used once as inputs, once as efficiency determinants (Coelli et al., 1999). The results show that the rates of return of 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, 2014. "Ict And R&D As Inputs Or Efficiency Determinants? Analysing Italian Manufacturing Firms 2007-2009," Working Papers 201412, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
  • Handle: RePEc:clb:wpaper:201412
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    Cited by:

    1. 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.
    2. 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.
    3. Benjamin T. Anang & Stefan Bäckman & Antonios Rezitis, 2017. "Production technology and technical efficiency: irrigated and rain-fed rice farms in northern Ghana," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(1), pages 95-113, April.
    4. Pieri, Fabio & Vecchi, Michela & Venturini, Francesco, 2018. "Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach," Research Policy, Elsevier, vol. 47(9), pages 1842-1852.
    5. Sangil Kim & Jungmin Yoo, 2017. "Does R&D Expenditure with Heavy Related Party Transactions Harm Firm Value?," Sustainability, MDPI, Open Access Journal, vol. 9(7), pages 1-15, July.
    6. Baocheng He & Jiawei Wang & Jiaoyang Wang & Kun Wang, 2018. "The Impact of Government Competition on Regional R&D Efficiency: Does Legal Environment Matter in China’s Innovation System?," Sustainability, MDPI, Open Access Journal, vol. 10(12), pages 1-18, November.
    7. Piva, Mariacristina & Vivarelli, Marco, 2017. "Is R&D Good for Employment? Microeconometric Evidence from the EU," IZA Discussion Papers 10581, Institute of Labor Economics (IZA).
    8. Kristina Matuzeviciute & Mindaugas Butkus & Akvile Karaliute, 2017. "Do Technological Innovations Affect Unemployment? Some Empirical Evidence from European Countries," Economies, MDPI, Open Access Journal, vol. 5(4), pages 1-19, December.
    9. Piva, Mariacristina & Vivarelli, Marco, 2017. "R&D Expenditures and Employment: Evidence from Europe," GLO Discussion Paper Series 18, Global Labor Organization (GLO).

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    More about this item

    Keywords

    ICT; R&D; Stochastic Frontier Approach; efficiency;
    All these keywords.

    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
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

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