ICT productivity and firm propensity to innovative investment: Evidence from Italian microdata

Atzeni, Gianfranco Enrico; Carboni, Oliviero Antonio

doi:10.1016/j.infoecopol.2005.10.002

Cited by 31 publications

(19 citation statements)

References 44 publications

(42 reference statements)

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“…O' Mahony and Vecchi (2005) use pooled data at the industry level for the US and the UK and find a positive effect of ICT on output growth and excess returns relative to the non-ICT assets. Atzeni and Carboni (2006) find a strong impact of ICT investments on productivity growth in Italian manufacturing firms. Fabiani, Schivardi, and Trento (2005) examined the data for 1500 Italian manufacturing firms that ICT investments have a stronger effect on productivity in information-intensive industries than in low-technology industries.…”

Section: Literature Reviewmentioning

confidence: 79%

The effects of ICT⁎ on output per worker: A study of the Chinese economy

Kumar

Stauvermann

Samitas

2016

Telecommunications Policy

100

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Section: Literature Reviewmentioning

confidence: 79%

The effects of ICT⁎ on output per worker: A study of the Chinese economy

Kumar

Stauvermann

Samitas

2016

Telecommunications Policy

100

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“…To study this linkage for the telecommunications services industry, therefore, requires the use of more micro-level data. Further research on the productivity performance of the industry could be directed towards using firm-level data and following some of the recent approaches used by the firm-level literature (Stratopoulos and Dehning, 2000;Atzeni and Carboni, 2006;Dostie and Jayaraman, 2008).…”

Section: Discussionmentioning

confidence: 99%

“…1 The macroeconomic studies of the linkage between ICT and productivity include Gust and Marquez (2004), Sichel (2000, 2002) and Oulton (2002). There are also a number of industry-level analysis (Stiroh, 2002a, b;O'Mahony and Vecchi, 2003;Oulton and Srinivasan, 2003;Basu et al, 2004;Hu and Quan, 2005) and firm-level studies (Lehr and Lichtenberg, 1999;Stratopoulos and Dehning, 2000;Black and Lynch, 2001;Brynjolfsson and Hitt, 2003;Haltiwanger et al, 2003;Wilson, 2004;Bloom et al, 2005a, b;Hempell, 2005;Matteucci et al, 2005;Atzeni and Carboni, 2006;Dostie and Jayaraman, 2008). For a comprehensive survey of the literature, see Draca et al (2006) and Pilat (2004).…”

Section: Introductionmentioning

confidence: 99%

What determines productivity performance of telecommunications services industry? A cross-country analysis

Ng¹

2012

Applied Economics

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This article investigates the key factors that determine the productivity performance of telecommunications services industry. A simple theoretical model is used to illustrate that the Total Factor Productivity (TFP) growth is attributable to the effects of scale economies, market competition and technical change. We then examine empirically the effect of various factors on the TFP growth in the industry using panel data in 12 Organization for Economic Co-operation and Development (OECD) countries for the period 1983 through 2003. The empirical results are consistent with the theoretical prediction. A new finding in this article is that higher machinery and equipment (M&E) capital intensity and human capital contribute to higher TFP growth in the telecommunications services industry. The decomposition analysis also suggests that technical change induced by changes in M&E capital intensity and human capital are important sources of productivity performance in the industry across the OECD countries, contributing to about 20-50% and 2-7% of TFP growth, respectively. These findings highlight the importance of improving the conditions for M&E capital investment and the quality of human capital, which in turn could facilitate the adoption of new technologies and enhance the productivity in the industry.

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“…As we have seen, although some research concludes that ICT has negative or irrelevant effects, since the last decade there has been a growing consensus that there is a strong positive link (Atzeni and Carboni, 2006). ICT can help improve productivity and the efficiency of all stages of the production process by reducing set-up time, run time and inspection time, which will help efficient firms to improve their market position.…”

Section: Hypothesis Developmentmentioning

confidence: 96%