Cross-Border Data Exchanges : The Rise of Platform Economy in Asia

International audienceTransnational flows of goods, capital, and labor are accurately monitored, and are included by governmental agencies in their economic metrics as critical information used by policy makers. Although transnational flows of data can be intuitively identified as equally important, they have been so far largely ignored by economists and are poorly monitored by public authorities. In this paper, we study the extent to which local and foreign intermediation platforms in Asia have developed their activities in Asia, and their contribution to cross-border data exchanges. We rely on preliminary measure of transnational as well as global data exchanges in Asia. We identify various patterns; China is mostly relying on national platforms, while Japan is highly dependent from platforms based in the United States, Korea and Taiwan are experiencing some sort of balance between national and foreign platforms

Local Actors Build Broadband Infastructure

This paper explores how local actors can play a role in bridging the rural broadband divide. It presents the bottom-up development of broadband infrastructure in the rural region of ‘Sogn & Fjordane’, Norway. To bridge the broadband divide individuals, businesses and public sector in several rural communities have joined forces and have taken an initiative to develop and operate local broadband infrastructure. Each initiative faces a different set of challenges depending on the local context. The paper open up the ‘black box’ of the innovative process to get a better understanding of the alternative process needed to develop broadband infrastructure in rural settings when the market forces does not apply. Two initiatives will be used to illustrate how the communities have assembled rural broadband assess using available knowledge and relational resources and infrastructure to achieve the goal, which is contrary to the traditional roll out of telecom infrastructure

Telecommunication Economics

This book constitutes a collaborative and selected documentation of the scientific outcome of the European COST Action IS0605 Econ@Tel "A Telecommunications Economics COST Network" which run from October 2007 to October 2011. Involving experts from around 20 European countries, the goal of Econ@Tel was to develop a strategic research and training network among key people and organizations in order to enhance Europe's competence in the field of telecommunications economics. Reflecting the organization of the COST Action IS0605 Econ@Tel in working groups the following four major research areas are addressed: - evolution and regulation of communication ecosystems; - social and policy implications of communication technologies; - economics and governance of future networks; - future networks management architectures and mechanisms

Telecommunication Economics

This book constitutes a collaborative and selected documentation of the scientific outcome of the European COST Action IS0605 Econ@Tel "A Telecommunications Economics COST Network" which run from October 2007 to October 2011. Involving experts from around 20 European countries, the goal of Econ@Tel was to develop a strategic research and training network among key people and organizations in order to enhance Europe's competence in the field of telecommunications economics. Reflecting the organization of the COST Action IS0605 Econ@Tel in working groups the following four major research areas are addressed: - evolution and regulation of communication ecosystems; - social and policy implications of communication technologies; - economics and governance of future networks; - future networks management architectures and mechanisms

Resource Allocation and Service Management in Next Generation 5G Wireless Networks

The accelerated evolution towards next generation networks is expected to dramatically increase mobile data traffic, posing challenging requirements for future radio cellular communications. User connections are multiplying, whilst data hungry content is dominating wireless services putting significant pressure on network's available spectrum. Ensuring energy-efficient and low latency transmissions, while maintaining advanced Quality of Service (QoS) and high standards of user experience are of profound importance in order to address diversifying user prerequisites and ensure superior and sustainable network performance. At the same time, the rise of 5G networks and the Internet of Things (IoT) evolution is transforming wireless infrastructure towards enhanced heterogeneity, multi-tier architectures and standards, as well as new disruptive telecommunication technologies. The above developments require a rethinking of how wireless networks are designed and operate, in conjunction with the need to understand more holistically how users interact with the network and with each other. In this dissertation, we tackle the problem of efficient resource allocation and service management in various network topologies under a user-centric approach. In the direction of ad-hoc and self-organizing networks where the decision making process lies at the user level, we develop a novel and generic enough framework capable of solving a wide array of problems with regards to resource distribution in an adaptable and multi-disciplinary manner. Aiming at maximizing user satisfaction and also achieve high performance - low power resource utilization, the theory of network utility maximization is adopted, with the examined problems being formulated as non-cooperative games. The considered games are solved via the principles of Game Theory and Optimization, while iterative and low complexity algorithms establish their convergence to steady operational outcomes, i.e., Nash Equilibrium points. This thesis consists a meaningful contribution to the current state of the art research in the field of wireless network optimization, by allowing users to control multiple degrees of freedom with regards to their transmission, considering mobile customers and their strategies as the key elements for the amelioration of network's performance, while also adopting novel technologies in the resource management problems. First, multi-variable resource allocation problems are studied for multi-tier architectures with the use of femtocells, addressing the topic of efficient power and/or rate control, while also the topic is examined in Visible Light Communication (VLC) networks under various access technologies. Next, the problem of customized resource pricing is considered as a separate and bounded resource to be optimized under distinct scenarios, which expresses users' willingness to pay instead of being commonly implemented by a central administrator in the form of penalties. The investigation is further expanded by examining the case of service provider selection in competitive telecommunication markets which aim to increase their market share by applying different pricing policies, while the users model the selection process by behaving as learning automata under a Machine Learning framework. Additionally, the problem of resource allocation is examined for heterogeneous services where users are enabled to dynamically pick the modules needed for their transmission based on their preferences, via the concept of Service Bundling. Moreover, in this thesis we examine the correlation of users' energy requirements with their transmission needs, by allowing the adaptive energy harvesting to reflect the consumed power in the subsequent information transmission in Wireless Powered Communication Networks (WPCNs). Furthermore, in this thesis a fresh perspective with respect to resource allocation is provided assuming real life conditions, by modeling user behavior under Prospect Theory. Subjectivity in decisions of users is introduced in situations of high uncertainty in a more pragmatic manner compared to the literature, where they behave as blind utility maximizers. In addition, network spectrum is considered as a fragile resource which might collapse if over-exploited under the principles of the Tragedy of the Commons, allowing hence users to sense risk and redefine their strategies accordingly. The above framework is applied in different cases where users have to select between a safe and a common pool of resources (CPR) i.e., licensed and unlicensed bands, different access technologies, etc., while also the impact of pricing in protecting resource fragility is studied. Additionally, the above resource allocation problems are expanded in Public Safety Networks (PSNs) assisted by Unmanned Aerial Vehicles (UAVs), while also aspects related to network security against malign user behaviors are examined. Finally, all the above problems are thoroughly evaluated and tested via a series of arithmetic simulations with regards to the main characteristics of their operation, as well as against other approaches from the literature. In each case, important performance gains are identified with respect to the overall energy savings and increased spectrum utilization, while also the advantages of the proposed framework are mirrored in the improvement of the satisfaction and the superior Quality of Service of each user within the network. Lastly, the flexibility and scalability of this work allow for interesting applications in other domains related to resource allocation in wireless networks and beyond

What factors - external and internal - influence a firm's choice of voluntary greenhouse gas mitigation activities?

This research provides the first empirical evidence on an aspect of a topical debate about firms’ claims over their use of renewable electricity. Increasingly firms – many among them the biggest globally – say they use renewable electricity (RE). Unless they generate their own electricity, they often make this claim based on the use of green tariffs or certificates that document the production of a quantity of RE. However, several studies indicate that such contractual instruments have done little to increase RE generation capacity in Europe. Furthermore, it has been argued this activity could impede other actions by firms that reduce carbon emissions. As firms frequently attribute zero emissions to their electricity consumption covered by these renewable electricity contractual instruments, their reported emissions can plummet. This could reduce the motivation for activities such as improving energy efficiency – a possibility which has not been investigated before empirically. Focusing on 11 of the largest firms in Europe, I ask what factors influence their voluntary greenhouse gas mitigation choices regarding renewable and low-carbon electricity contractual instruments. Secondly, I ask what effect their use has had on their other greenhouse gas mitigation activities. Taking an institutional theory and Corporate Social Responsibility (CSR) perspective, I integrate documentary evidence on firms’ carbon emissions and mitigation activities – in some cases employing more than a decade of data - with interviews with managers and senior staff. I conduct multiple case studies, selecting firms to facilitate analytical generalisation (Yin 2014). A key insight into the influences on firms was the power of CSR ratings agencies. I found instances of firms making or considering changes to operational practice – such as renewable electricity contractual instrument use - due to rating agencies. Displacement and potential displacement of firms’ focus on other mitigating activities was found in limited circumstances. For energy efficiency/savings, this depended on three circumstances which I characterize. I assess the possible outcomes if expenditure on contractual instruments had been spent instead on internal mitigating activities e.g. energy efficiency or on offsets. Based on my findings, I recommend specific changes to carbon reporting practices that are relevant to firms, policy-makers and standard-setters

Competition among Telecommunication Providers

International audienceWe analyze in this section game-theoretic models of competition between telecommunication networks providers in various contexts. This analysis helps to define and understand the operators' pricing and technology investments as well as the most efficient market rules by a regulator