ICT-specific technological change and productivity growth in the US: 1980–2004

Martínez, Diego; Rodríguez, Jesús; Torres, José L.

doi:10.1016/j.infoecopol.2009.07.001

Cited by 36 publications

(19 citation statements)

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“…This broader conceptual approach may result in a more appropriate speci…cation of the regression to be estimated An additional extension could involve exploring the way non-R&D innovation resources may be utilised for physical capital accumulation rather than impacting directly on TFP growth. Indeed, as long as a signi…cant part of non-R&D investment can be seen as an investment in new (and more innovative) machinery, it is reasonable to deal with it as an embedded technological progress (see, for instance, Martinez et al, 2008Martinez et al, , 2010, which indirectly a¤ects the technology frontier of the economy.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Looking beyond the R&D effects on innovation: The contribution of non-R&D activities to total factor productivity growth in the EU

López‐Rodríguez

Martínez‐López

2017

Structural Change and Economic Dynamics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. carried out across very heterogeneous economies in Europe, how to incorporate them in to economic models is not always straightforward. For instance, the traditional macro approach to estimating the determinants of total factor productivity (TFP) does not handle them well. To counter these problems, this paper proposes applying an augmented macro-theoretical model to estimate the determinants of TFP by jointly considering the e¤ects of R&D and the impact of non-R&D innovation activities on the productivity levels of …rms. Estimations from a model of a sample of EU-26 countries covering the period [2004][2005][2006][2007][2008] show that the distinction between R&D and non-R&D e¤ects is signi…cant for a number of di¤erent issues. First, the results show a sizable impact on TFP growth, as the impact of R&D is twice that of non-R&D. Second, absorptive capacity is only linked to R&D endowments. And third, the two types of endowments cannot strictly been seen as complementary, at least for the case of countries with high R&D intensities or high non-R&D intensities. Terms of use: Documents in

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Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Looking beyond the R&D effects on innovation: The contribution of non-R&D activities to total factor productivity growth in the EU

López‐Rodríguez

Martínez‐López

2017

Structural Change and Economic Dynamics

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“…Samaniego (2007) extends this analysis to the inclusion of investments in knowledge assets, finding that R&D-driven technical change, rather than TFP, explains output growth in developed countries. Venturini (2007) and Martínez et al (2010) reveal the importance of ICT-driven technical change in promoting productivity growth in the US. However, the relative importance of investment-specific technical change, next to other possible ways in which capital assets can affect growth, is still unknown.…”

Section: Introductionmentioning

confidence: 99%

Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach

2018

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An open access repository of Middlesex University research http://eprints.mdx.ac.uk Pieri, Fabio, Vecchi, Michela and Venturini, Francesco (2017) Modelling the joint impact of R&D and ICT on productivity: a frontier analysis approach. Working Paper. Universita' degli Studi di Trento. Published version (with publisher's formatting)This version is available at: http://eprints.mdx.ac.uk/23043/ Copyright:Middlesex University Research Repository makes the University's research available electronically.Copyright and moral rights to this work are retained by the author and/or other copyright owners unless otherwise stated. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge.Works, including theses and research projects, may not be reproduced in any format or medium, or extensive quotations taken from them, or their content changed in any way, without first obtaining permission in writing from the copyright holder(s). They may not be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s).Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. Guidelines for authorsPapers may be written in Italian or in English. Faculty members of the Department must submit to one of the editors in pdf format. Management papers should be submitted to R. Gabriele. Economics Papers should be submitted to L. Andreozzi. External members should indicate an internal faculty member that acts as a referee of the paper.Typesetting rules: 1. papers must contain a first page with title, authors with emails and affiliations, abstract, keywords and codes. Page numbering starts from the first page; 2. a template is available upon request from the managing editors. AbstractThis study explores the channels through which technological investments affect productivity performance of industrialized economies. Using a Stochastic Frontier Model (SFM) we estimate the productivity effects of R&D and ICT for a large sample of OECD industries between 1973 and 2007, identifying four channels of transmission: input accumulation, technological change, technical efficiency and spillovers. Our results show that ICT has been particularly effective in reducing production inefficiency and in generating inter-industry spillovers, while R&D has raised the rate of technical change and favoured knowledge spillovers within...

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“…However, this literature has primarily focused on the European countries and America. Examples of such studies include [2][3][4][5][6] on America, [7,8] on the UK, [9] on Finland, [10] on Spain, [11] on Greece, and [12] on industry-level comparisons between the Europe and the United States. Based on this, we examine the contributions of ICT sectors to Chinese national economy.…”

Section: Introductionmentioning

confidence: 99%

A mathematical/physics model to measure the role of information and communication technology in some economies: the Chinese case

Lin

Xia

2017

Open Physics

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Abstract:Since the Reform and Opening-up in 1978, China has experienced a huge sustainable growth of gross domestic product (GDP) and an incredible development in Information and Communication Technology (ICT). This study aims to utilize an input-output (I-O) approach to explore the role of ICT in Chinese national economy. Specifically, we employ a static I-O framework, and analyze three topics in its application: the inter-industry linkage effect, the production inducing effect, and the supply shortage effect. We pay particular attention to the ICT manufacturing sector and ICT service-providing sector by taking the sectors as exogenous and investigating their economic impacts, respectively. The results suggest that (1) the ICT manufacturing sector has a high backward linkage effect, an intermediate forward linkage effect, a relatively low production inducing effect, and a low supply shortage effect, it suggests that ICT manufacturing sector has a powerful capacity for pulling the production activities of the whole economy. (2) The inter-industry linkage effect and supply shortage effect of ICT service-providing is low, but the production inducing effect of ICT service-providing is high, which suggests that the impact of an increase in ICT service-providing investment on the total output of all other sectors is large.

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ICT-specific technological change and productivity growth in the US: 1980–2004

Cited by 36 publications

References 23 publications

Looking beyond the R&D effects on innovation: The contribution of non-R&D activities to total factor productivity growth in the EU

Looking beyond the R&D effects on innovation: The contribution of non-R&D activities to total factor productivity growth in the EU

Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach

A mathematical/physics model to measure the role of information and communication technology in some economies: the Chinese case

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