Fiber-deployment of telecommunications networks is currently a great challenge for sector-specific regulators, national governments, as well as for investing operators. One of the most controversial regulatory issues in Europe (and elsewhere) is whether the emerging next generation access (NGA) infrastructure should be subjected to cost-based access regulation or whether at least a temporary removal of ex ante obligations ("regulatory holidays") should be granted. In answering this question we examine the current and foreseeable EU regulatory framework and show that it does not provide positive incentives for NGA deployment and increasing penetration rates. On the basis of an international comparison with the most recent data on NGA deployment and penetration, it appears, in turn, that deregulatory and/or state aid driven approaches targeted at the demand (subscribers) and supply side (coverage) are more promising. (author's abstract) / Series: Working Papers / Research Institute for Regulatory Economics

Fibre deployment of next-generation high-speed broadband networks is considered to be a decisive development for any information-based society, yet investment activities and especially the adoption of fibre-based broadband services take place only very gradually in most countries. This work identifies the most important determinants of the adoption of fibre-based broadband services, using the most recent panel data from the European Union member states (EU27) for the years from 2004 to 2012. The results show that the stricter previous broadband access regulation has a negative impact on adoption, while competitive pressure from mobile networks affects adoption in a non-linear manner. It appears that the approach of strict cost-based access regulation embedded in the EU regulatory framework is at odds with the targets outlined in the European Commission's "Digital Agenda". Finally, we also find strong evidence for network effects underlying the adoption process. (author's abstract) / Series: Working Papers / Research Institute for Regulatory Economics

Although fibre-deployment of next generation access (NGA) broadband networks is considered as a decisive development for any information-based society, investment activities and especially the adoption of fiber-based broadband services take place only very gradually in most countries. This work identifies the most important determinants of NGA broadband adoption, using most recent panel data from the European Union member states (EU27) for the years from 2004 to 2012. The results show that stricter previous broadband access regulation has a negative impact on NGA adoption, while competitive pressure from mobile networks affects NGA adoption in a non-linear manner. It appears that the approach of strict cost-based access regulation embedded in the EU regulatory framework is at odds with the ambitious targets outlined in the European Commission´s "Digital Agenda". Finally, we find strong evidence for network effects underlying the NGA adoption process. (author's abstract) / Series: Working Papers / Research Institute for Regulatory Economics

Fibre deployment of next-generation high-speed broadband networks is considered to be a decisive development for any information-based society, yet investment activities and especially the adoption of fibre-based broadband services take place only very gradually in most countries. This work identifies the most important determinants of the adoption of fibre-based broadband services, using the most recent panel data from the European Union member states (EU27) for the years from 2004 to 2012. The results show that the stricter previous broadband access regulation has a negative impact on adoption, while competitive pressure from mobile networks affects adoption in a non-linear manner. It appears that the approach of strict cost-based access regulation embedded in the EU regulatory framework is at odds with the targets outlined in the European Commission's "Digital Agenda". Finally, we also find strong evidence for network effects underlying the adoption process. (author's abstract) / Series: Working Papers / Research Institute for Regulatory Economics

Le modèle Aevol est un modèle d'évolution expérimentale in silico développé par Carole Knibbe et Guillaume Beslon pour étudier l'évolution de la structure des génomes. Aevol a permis d'identifier une très forte pression de sélection indirecte vers un certain niveau de variabilité mutationnelle du phénotype : la survie à long terme d'une lignée étant conditionnée à sa capacité à produire des mutations avantageuses sans pour autant produire trop de mutations délétères, un certain compromis entre robustesse et évolvabilité est indirectement sélectionné. Une conséquence de cette pression de sélection indirecte est le rôle central joué par le taux spontané de réarrangements chromosomiques dans la détermination de la structure du génome. Dans ce travail, nous avons modifié le modèle Aevol pour introduire d'une part un processus explicite de régulation de l'expression des gènes et d'autre part, une sensibilité aux similarités entre séquences dans les événements de recombinaison de l'ADN. Nous avons ainsi pu étudier l'effet de ces variations sur la sélection de second-ordre. Nous avons en particulier observé que celle-ci est extrêmement robuste aux choix de modélisation : les effets liés aux réarrangements sont en effet observés de la même façon lorsque les organismes possèdent un réseau de régulation (qui plus est, ces effets sont visibles sur le réseau lui-même), lorsque les réarrangements se produisent préférentiellement entre séquences similaires et lorsque les transferts horizontaux sont possibles. De plus, les effets de cette pression de sélection de second-ordre ne sont pas limités au niveau génomique : de forts taux de réarrangements tendent à donner lieu à des génomes présentant beaucoup d'opérons, très peu d'ARNs non-codants et des réseaux de régulation très simples. Au contraire, chez les organismes ayant évolué avec de faibles taux de réarrangement, la plupart des gènes sont transcrits sur des ARNs monocistroniques. Ces organismes possèdent un grand nombre d'ARNs non-codants et présentent des réseaux de régulation très complexes. Ces effets observés dans le modèle à différents niveaux d'organisation peuvent s'apparenter à de nombreuses caractéristiques observées chez les organismes réels. Ainsi les pressions sélectives indirectes observées grâce au model Aevol permettent de reproduire un large spectre de propriétés biologiques connues en ne modifiant que le seul taux de réarrangements dans le modèle. Ces mécanismes de sélection indirecte apparaissent donc comme de bons candidats pour expliquer ces mêmes observations sur les organismes réels. / The Aevol model is an in silico experimental evolution model that was specifically developped by Carole Knibbe to study the evolution of the structure of the genome. Using Aevol, a very strong second-order selective pressure towards a specific level of mutational variability of the phenotype was revealed: it was shown that since the survival of a lineage on the long term is conditionned to its ability to produce beneficial mutations while not loosing those previously found, a specific trade-off between robustness and evolvability is indirectly selected. A consequence of this indirect selective pressure is the central role played by the spontaneous rate of chromosomal rearrangements in determining the structure of the genome. More specifically, it was shown that because some rearrangements (large duplications and large deletions) have an impact not only arround their breakpoints but on the whole sequence between them, non-coding sequences are actually mutagenic for the coding sequences they surround. The consequence is a clear trend for organisms having evolved under high rearrangement rates to have very short genomes with hardly any non-coding sequences while organisms evolving in the context of low rearrangement rates have huge, mostly non-coding genomes. Here, we modified the Aevol model to introduce an explicit regulation of gene expression as well as a sensitivity to sequence similarity in DNA recombination events. We observed that the effects of the second-order pressure mentioned above are very robust to modelling choices: they are similarly observed when gene regulation is made available, when rearrangements occur preferentially between similar sequences and even when a biologically plausible process of horizontal transfer is allowed. Moreover, the effects of this second-order selective pressure are not limited to the genomic level: high rearrangement rates usually lead to genomes that have many polycistronic RNAs, almost no non-coding RNAs and very simple regulation networks. On the contrary, at low rearrangement rates organisms have most of their genes transcribed on monocistronic RNAs, they own a huge number of coding RNAs and present very complex and intricate regulation networks. These astounding effects at different levels of organization can account for many features found on real organisms. Thus, the indirect selective pressure that was identified thanks to the Aevol model allows to reproduce a large panel of known biological properties by changing the sole spontaneous rearrangement rate, making this pressure a good candidate for explaining these observations on real organisms.