Investments in next generation access infrastructures under regulatory uncertainty

This article studies the impact of regulatory uncertainty on an incumbent's incentives to undertake the socially optimal investments in NGA networks. Thus, a regulatory non-commitment setting in which the regulator sets the access price after the deployment of the NGA network is used. In particular, it is assumed that the regulator sets the access price at the marginal cost of providing the access with some probability and gives an access markup, which equals the average cost of the investments, with the complementary probability. It is found that when the slope of the marginal investment cost function is not particularly steep in relation to the impact of investments on demand, the incumbent underinvests compared to the socially optimal investment level. On the contrary, in a more realistic case when the impact of investments on demand is low in relation to the slope of the marginal investment cost function, the incumbent may overinvest or underinvest depending on the probability of incorporating an access markup into the access price. © 2013 Elsevier Ltd

On the social optimality of make-or-buy decisions

This article examines the impact of input prices on an entrant's make-or-buy decision and on the subsequent social welfare level for three alternative models of downstream competition. For each particular model, it derives the range of input prices that induce the entrant to undertake: (a) the productively efficient make-or-buy decision; and (b) the socially optimal make-or-buy decision. The main conclusion of this article is that the entrant's efficient make-or-buy decision is always socially optimal in the case of the Hotelling model, is socially optimal for the set of input prices that induce the entrant to undertake the efficient decision in the case of Cournot competition and is not necessarily socially optimal in the Bertrand vertical differentiation model. Last, this article examines the conditions under which the efficient and/or socially optimal make-or-buy decision undertaken by an entrant fulfills the regulatory two-fold goal of promoting service-based competition and encouraging facilities-based competition. Therefore, this article also provides the optimal access pricing policy that results in the best feasible outcome in terms of social welfare, productive efficiency, competition level and investment level for a given downstream competition model. © 2011 Springer Science+Business Media, LLC

A CDS approach to induce facilities-based competition over NGA networks

The current regulatory framework in the European NGA market provides the basic principles for the gradual migration from service-based competition over the legacy copper access networks to facilities-based competition over fiber-based Next Generation Access (NGA) networks. This paper initially reviews the related literature and shows that: (i) an unbundling policy that boosts entry by alternative operators promotes service-based competition but provides operators with disincentives to invest in network upgrade; (ii) there is no consensus about the optimal regulatory policy that promotes competition and encourages investments in NGA networks; and (iii) the reviewed research articles are not consistent with the current regulatory framework in the European NGA market in terms of both the evolution of the regulatory goals over time and the recommended regulatory settings. This paper aims to propose a novel approach in order to effectively meet the current regulatory goals using the recommended settings. It is shown that the proposed approach, which is based on the basic principles governing a Credit Default Swap (CDS), provides an effective migration path towards facilities-based competition over NGA networks. © 2013 Elsevier Ltd

Risks associated with next generation access networks investment scenarios

The deployment of next generation access networks (NGAs) is investigated from technical, regulatory and investment perspectives. A brief review of the possible network architectures and deployment scenarios of NGAs is provided. Risk calculations of these NGA scenarios are performed based on a fully detailed techno-economic model. Furthermore, the effectiveness of the European Commission's Recommendation on regulated access to NGAs, aiming to tackle the regulatory trade-off between encouraging investments and promoting competition, is discussed. © 2012 IEEE

Network modeling approaches for calculating wholesale NGA prices: A full comparison based on the Greek fixed broadband market

According to the European Commission Recommendation for setting copper and fiber wholesale prices where cost orientation is imposed as a remedy, National Regulatory Authorities (NRAs) should adopt a Bottom-UP Long-Run Incremental Cost Plus (BU LRIC+) costing methodology that estimates the current cost that a hypothetical efficient operator would incur to build a modern efficient Next Generation Access (NGA) network. The starting point of modeling an efficient operator investing in NGA networks is the network modeling approach. In this paper, we compare the most widely adopted network modeling approaches in terms of wholesale fiber-to-the-home (FTTH) prices. In particular, the modified scorched node approach is compared to the extreme cases of the scorched node and the scorched earth approaches. The comparison between the aforementioned scenarios sheds light on the impact of each approach on the wholesale FTTH prices. The main finding of this paper is that the scorched earth approach leads to a maximum of 10% reduction in the short-term access prices compared to the most inefficient scorched node approach, whereas further extending its optimizations by optimizing the number of central offices, both the short-term and long-term wholesale price reductions are quite significant (more than 20%) regardless of service speeds. Consequently, NRAs should consider a geographically differentiated modeling approach when regulating the wholesale market by adjusting the level of scorching in each area and network segment according to the investment plans of telecom operators. An appropriate variation of the modeled network operator's efficiency is expected to more accurately represent the costs of a reasonably efficient operator based on the real market conditions and a forward-looking perspective. These findings provide valuable information to both network operators and telecom regulators. © 2021 Elsevier Lt