Copyright and moral rights to this thesis/research project are retained by the author and/or other copyright owners. 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. Any use of the thesis/research project for private study or research must be properly acknowledged with reference to the work's full bibliographic details.This thesis/research project may not be reproduced in any format or medium, or extensive quotations taken from it, or its content changed in any way, without first obtaining permission in writing from the copyright holder(s).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. Using company accounts data for 5 countries (US, UK, Japan, France and Germany) we analyse the relationship between intangible assets and productivity. We integrate the company data with industry information on tangible and intangible investments and skill composition of the labour force. The industry data are summarised in two different taxonomies, factor and skill intensive groups, which account for differences in the knowledge intensity and innovative activities within sectors. The results provide evidence of higher productivity in R&D and skill intensive industries. This can be interpreted as evidence in favour of the presence of spillover effects.

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...

Using industry data for the United States and the United Kingdom, we provide new evidence on the impact of information and communications technology (ICT) capital on real output growth. The traditional industry panel data analysis fails to find a positive contribution. We argue that this is due to heterogeneity across industries, particularly in the time dimension. Pooling the data for the two countries and using a dynamic panel data estimation method yield a positive and significant effect of ICT on output growth. Individual country estimates suggest a strong impact in the United States, while results are less conclusive in the United Kingdom. Copyright (c) The London School of Economics and Political Science 2005.

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