nep-net New Economics Papers
on Network Economics
Issue of 2008‒12‒21
three papers chosen by
Yi-Nung Yang
Chung Yuan Christian University

  1. Econometric Evidence on the Impacts of Privatization, New Entry, and Independent Industry Regulator on Mobile Network Penetration and Expansion By Yan Li
  2. Labour Force Paths as Industry Linkages: A Perspective on Clusters and Industry Life Cycles By Mika Maliranta; Tuomo Nikulainen
  3. A percolation model of the product lifecycle By Frenken, Koen; Silverberg, Gerald; Valente, Marco

  1. By: Yan Li (Centre for Competition Policy, University of East Anglia)
    Abstract: This study examines the impacts of reforms – privatization, new entry and independent regulatory authority – on mobile network penetration and expansion using a new and hitherto unused panel dataset for 30 national mobile markets (i.e. 29 OECD countries and China) over the time period 1991-2006 under a 3-equation econometric framework. The estimation results confirm that introducing new entry is, in general, positively correlated with mobile network penetration and expansion; and in particular, the third entry brings many more benefits than the second one. The results also highlight the crucial role of an independent regulator in privatized mobile markets. Especially, the dynamic estimation results suggest that without an independent regulator, privatization is, on average, negatively correlated with mobile network expansion, even in certain competitive market environments.
    Keywords: New entry, privatization, independent regulator, mobile network, econometric analysis
    JEL: L10 L51 L96 K23
    Date: 2008–12
    URL: http://d.repec.org/n?u=RePEc:ccp:wpaper:wp08-35&r=net
  2. By: Mika Maliranta; Tuomo Nikulainen
    Abstract: ABSTRACT : We make several findings related to the dynamics of labour markets and industry life cycles in our analysis, which makes use of longitudinal employer-employee data that cover the whole working age population in Finland. Firstly, we find that across industry transitions of the employed are common. Secondly, employment transitions portray a network of industry linkages where specific industry clusters can be identified, as well as labour flow paths with long backward and forward linkages. Thirdly, most of the upstream labour mobility linkages are end up in the education industry, which thus seems to be an “ancestor” of the most of the industries. On the other hand, we find eight totally isolated industries that had no distinct backward or forward linkages in the labour markets. Finally, we show that the labour flows are a significant indicator for industry life cycles.
    Keywords: employment transitions, industry clusters, industry life cycle
    JEL: J23 J63 L16
    Date: 2008–12–08
    URL: http://d.repec.org/n?u=RePEc:rif:dpaper:1168&r=net
  3. By: Frenken, Koen (Urban & Regional research centre Utrecht (URU), Utrecht University); Silverberg, Gerald (UNU-MERIT, and IIASA); Valente, Marco (Department of Economics, University of L’Aquila)
    Abstract: The product lifecycle model can be understood as a three-stage model of technological development associated with a particular product technology. In the explorative stage many different designs are developed, in the development stage products become standardized into a dominant design, and in the mature stage only incremental changes occur within the dominant design. Although the product lifecycle model is widely accepted and often applied in empirical research, innovation scholars have failed to develop systematic theoretical models that explain the different stages of technological development along the lifecycle. In this study, an attempt is made to contribute to product lifecycle theory by developing a theoretical model based on percolation dynamics. The model combines the concept of increasing returns to adoption with information diffusion among consumers within social networks. The main contribution of the model is that it replicates the three stages of the product lifecycle as an outcome of a single elementary process. The model also replicates the S-shaped diffusion curve and the occurrence of an industry shakeout.
    Keywords: mathematical models, percolation model, diffusion, social networks, product lifecycle, dominant design
    JEL: C15 L11 L15 O14 O33
    Date: 2008
    URL: http://d.repec.org/n?u=RePEc:dgr:unumer:2008073&r=net

This nep-net issue is ©2008 by Yi-Nung Yang. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at http://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.