nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2010‒09‒03
three papers chosen by
Walter Frisch
University Vienna

  1. ICT and Productivity Growth in the 1990's: Panel Data Evidence on Europe By Christian M. Dahl; Hans Christian Kongsted; Anders Sørensen
  2. How ICTs Raise Manufacturing Performance: Firm-level Evidence in Southeast Asia. By Tomohiro MACHIKITA; Masatsugu TSUJI; Yasushi UEKI
  3. Finding the Influentials that Drive the Diffusion of New Technologies By Hernández-Mireles, C.

  1. By: Christian M. Dahl (University of Southern Denmark, CEBR and CREATES); Hans Christian Kongsted (University of Copenhagen, CAM and CEBR); Anders Sørensen (Copenhagen Business School and CEBR)
    Abstract: What has been the quantitative effect on productivity growth of information and communication technology (ICT) in Europe after 1995? Based on a multi-country sectoral panel data set, we provide econometric evidence of positive and signi?cant productivity effects of ICT in Europe, mainly due to advances in total factor productivity. The impact of ICT in Europe has happened against a negative macro economic shock not related to ICT. This is in contrast to the established evidence for the US. Our main results challenge the consensus in the growth-accounting literature that there has been no acceleration of productivity growth in Europe, mainly due to a dismal performance of ICT-using sectors.
    Keywords: Labor productivity, total factor productivity, information and communications technology, panel data methods.
    JEL: E32 C23 O47
    Date: 2010–08–25
    URL: http://d.repec.org/n?u=RePEc:aah:create:2010-47&r=ict
  2. By: Tomohiro MACHIKITA (Inter-Disciplinary Studies Center, Institute of Developing Economies, Japan); Masatsugu TSUJI (Graduate School of Applied Informatics, University of Hyogo, Japan); Yasushi UEKI (Bangkok Research Center, IDE/JETRO, Thailand)
    Abstract: This paper examines the effects of information and communication technologies (ICTs) on business performance, using firm-level data obtained through a questionnaire survey in four ASEAN countries (Indonesia, The Philippines, Thailand and Vietnam). Sources of information and new technologies exchanged via ICTs by firms are also explored to investigate the mechanism behind ICT adoption. Empirical results verify that the introduction of ICT to reorganize business processes is significantly correlated with business performance, in particular the development of export markets and improvement of production management. ICTs facilitate access to information and technologies accumulated in in-house departments and joint-venture (JV) affiliates of the respondent firms. There are considerable differences between multinational companies (MNCs)/JVs and local firms. MNCs/JVs make use of information and technologies obtainable via ICTs from their own R&D departments, JVs established with local partners and foreign-owned suppliers/customers to improve factory management, mostly for product quality improvement and production cost reduction. In contrast, local firms interconnect their own R&D departments via ICTs to enhance their business performance in broader areas than MNCs/JVs, including the development of export markets.
    Date: 2010–08–01
    URL: http://d.repec.org/n?u=RePEc:era:wpaper:dp-2010-07&r=ict
  3. By: Hernández-Mireles, C.
    Abstract: In this article we put forward a model where aggregate sales are a function of the online search of potential consumers at many locations. We argue that a location may be influential because of its power to drive aggregate sales and this power may be dynamic and evolving in time. Second, the influential locations may produce spillover effects over their neighbors and hence we may observe clusters of influence. We apply Bayesian Variable Selection (BVS) techniques and we use Multivariate Conditional Autoregressive Models (MCAR) to identify influentials locations and their clustering. Our results indicate that the influential locations and their economic value (measured by search elasticities) vary over time. Moreover, we find significant geographical clusters of influential locations and the clusters composition varies during the life-cycle of the consoles. Finally, we find weak evidence that demographics explain the probability of a location to be influential.
    Keywords: diffusion;new products;variable selection;spatial modeling
    Date: 2010–05–31
    URL: http://d.repec.org/n?u=RePEc:dgr:eureri:1765019671&r=ict

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