The impact of infrastructure and service-based competition on the deployment of next generation access networks: Recent evidence from the European member states
Highlights
► Service-based competition has a negative impact on NGA deployment. ► Infrastructure competition affects NGA deployment in an inverted U-shaped manner. ► EU sector-specific regulatory framework neglects inherent efficiency trade-offs. ► EU policy at odds with the ambitious goals outlined in the EC’s Digital Agenda.
Introduction
In recent years, fibre-deployment of telecommunications access networks (“next generation access” – NGA) has become a major issue for sector-specific regulators as well as for investing firms. Operators of traditional (“first generation” copper- and coax-based) telecommunications networks have to speed up their networks to meet the growing demand for bandwidth arising from new/interactive multimedia services like streamed video on demand, high definition television, 3-D applications, cloud computing, etc. The renewal of existing networks and their (partial) replacement by fibre-optic infrastructure require high investment volumes of billions of Euros.2 Although the future central importance of ultra-high-speed broadband infrastructure as a key socio-economic factor is well recognised, NGA network deployment activities vary significantly in international comparison (see Fig. 1 in Section 2).
Since the beginning of the liberalisation of electronic communications markets in the European Union (EU) in 1997/98, there has been an ongoing debate about the role of infrastructure-based (inter-platform) and service-based competition. Infrastructure-based competition relies solely upon the existence of independent and competing infrastructure platforms. It is deemed to be favourable in the long run as it enables sustainable competition and a gain in dynamic efficiency in terms of investment and innovation. Moreover, it involves a much lower regulatory micro-management of the industry and thus lower administrative costs. Service-based competition hinges on a set of ex ante regulations. Proponents of service-based competition argue that mandatory access is essential to induce market entry in network industries with a quasi-monopolistic market structure and that it has an immediate positive effect on static efficiency. Thus, a key policy question is which mode of competition is preferable in order to lower prices and to achieve high investment in terms of network coverage.
Based on an unbalanced panel of the EU27 member states during the period of 2005–2011, this paper addresses the following research questions: (i) What is the relation between regulation-induced service-based competition on broadband markets and the extent of NGA deployment? (ii) How does infrastructure-based competition in related markets influence the extent of NGA deployment? (iii) Finally, what do the dynamics and the adjustment process of NGA deployment look like? It should be emphasised here that our focus is on NGA deployment/investment only, not on welfare.3
Our paper represents the first European-based attempt to quantify the determinants of recent and actual NGA deployment. Our empirical specification incorporates country-level data where estimates are obtained through various dynamic panel methods. Applying GMM as well as LSDVC estimation techniques explicitly accounts for the endogeneity bias arising from the dynamic investment specification. Furthermore, we argue that there is no endogeneity problem with respect to investment activities and regulation-induced service-based competition in our case, as we relate access regulations imposed on the preceding broadband market years ago to investment activities in an emerging (NGA) market. We therefore acknowledge both potential sources of endogeneity, which are only partly (e.g. Grajek and Röller, 2011), if at all, addressed in the literature.
The remainder of the paper is organised as follows: Section 2 provides necessary background information on the technical and regulatory context of NGA networks. In Section 3 we review the telecommunications-related literature. Section 4 describes our basic hypotheses concerning investment incentives on the one hand and the role of infrastructure and service-based competition on the other hand. Section 5 outlines the dataset underlying our empirical examination. Section 6 presents the empirical specification and related econometric issues. Section 7 describes and interprets the main results. Section 8 summarises and compiles the most relevant aspects for future regulatory policy.
Section snippets
Institutional framework
Originally, first-generation networks were set up to provide narrow bandwidth voice telephony services (POTS/ISDN) only. Many decades later, they were made capable of supporting broadband services by means of DSL transmission technology.
Literature review
A number of scientific studies examine the impact of regulation-induced service-based competition on broadband or telecommunications investment in general, but there are currently no empirical studies which focus on the impact on NGA deployment. Likewise, there are only a few theoretical contributions related to broadband/NGA deployment and the efficiency trade-offs involved, and we review these first.
Gayle and Weisman (2007) theoretically explore the relationship between wholesale broadband
Hypotheses
This section identifies determinants for previous NGA investments in Europe (EU27) and sets out corresponding hypotheses, which are aligned to the research questions outlined in the introduction.
Data and variables
We use the following data sources: The “Progress Report on the Single European Electronic Communications Market” (hereafter referred to as the “EU Progress Report”) provides yearly data on all relevant wholesale broadband access regulations as well as cable and DSL-related data for our competition variables.
A partial adjustment model
We use a dynamic approach to incorporate investment and deployment patterns appropriately. As the literature (e.g. Cambini and Rondi, 2010, Grajek and Röller, 2011, Greenstein and McMaster, 1995) suggests, static models are not appropriate, as these would only account for effects that have an immediate impact on the infrastructure stock. We use a partial adjustment model, since firms are most probably unable to adjust their infrastructure stock to prevalent market conditions within one period.
Discussion of main results
The regressions in Table 3 shows the results using GMM-SYS for our full model containing all control variables (regression (1)), with regressions (2), (3), (4) in the table serving as robustness checks consecutively eliminating control variables. While, apart from ict_expt−1, the coefficients of the control variables are insignificant throughout our estimations, we keep ict_expt−1 and urban_popt−1 as the most important demand and cost side controls in the final results, which are presented in
Conclusions and final remarks
In this paper, we determine the effects of infrastructure- and service-based competition on the deployment of NGA networks in Europe. In doing this, we used a panel data set of EU27 member states on NGA investment, as well as the main competition and control variables. As opposed to previous related literature, our econometric specification suffers neither from the dynamic panel bias nor from an endogeneity problem with respect to investment and service-based competition where the latter
Acknowledgements
The authors would like to thank the editors and referees for highly valuable comments. Furthermore, the authors are grateful for helpful comments and suggestions of the participants at the research seminar in economics at WU and the scientific seminar at the EUI in Florence as well as at the 22nd ITS conference in Budapest and the 39th Annual EARIE Conference in Rome on a former version of this paper.
References (38)
- et al.
Another look at the instrumental-variable estimation of error-components models
J. Econom.
(1995) Regulation, public policy, and investment in communications infrastructure
Telecommun. Policy
(2010)- et al.
Initial conditions and moment restrictions in dynamic panel data models
J. Econom.
(1998) - et al.
A critical review of the ladder of investment approach
Telecommun. Policy
(2010) - et al.
Access pricing, competition, and incentives to migrate from “Old” to “New” technology
Int. J. Ind. Organ.
(2012) - et al.
Ex ante regulation and co-investment in the transition to next generation access
Telecommun. Policy
(2012) - et al.
Can two-part tariffs promote efficient investment on next generation networks?
Int. J. Ind. Organ.
(2010) Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models
Econom. Lett.
(2005)- et al.
Broadband investment and regulation: a literature review
Telecommun. Policy
(2009) Encouraging infrastructure investment via the ladder of investment
Telecommun. Policy
(2006)
How access pricing and entry interact
Telecommun. Policy
Access regulation and investment in next generation networks – a ranking of regulatory regimes
Int. J. Ind. Organ.
Competition and innovation: an inverted-U relationship
Quart. J. Econ.
Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations
Rev. Econ. Stud.
Economic welfare and the allocation of resources to invention
Incentive regulation and investment: evidence from European energy utilities
J. Regul. Econ.
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