Институциональные особенности инфокоммуникационной отрасли РФ
This article is devoted to quantitative analysis of the costs and benefits of 5G networks infrastructure creation by using two alternative forms, such as single wholesale network or competing mobile networks. Calculations, based on the principle of discounting, allow us to establish whether savings are possible in the model of single wholesale network. The limit of investment savings due to the use of single wholesale network is estimated at 160-220 billion rubles covering a five-year period, given 360-480 billion rubles as investments required by four mobile operators. We show that infrastructure sharing agreements between mobile operators on a voluntary basis allow achieving a comparable amount of savings of 148-197 billion rubles for a five-year period. Taking into account estimates of additional costs in the model of single wholesale network caused by delay in implementation, increase of market power and regulatory costs, the authors conclude that the model of single wholesale network is economically inefficient.
Creation of 5G network infrastructure is possible using various alternative forms. This article assesses single wholesale network (SWN) model, which implies concentration of access to key infrastructure facilities within one company. The main argument in favor of SWN is the estimated savings of investment costs, which seems to be highly relevant currently in Russia. But setting up SWN will require state regulation which implies additional costs. Any regulatory intervention deteriorates agents’ motivation. Lon-term economic consequences of such decisions can be more harmful than the consequences of the problems these interventions were aimed.
The authors analyze the system of incentives that result from the monopolization of network assets, options to finance telecommunication infrastructure construction in a whole and particularly – the free-riding problem in case of take-or-pay principal as well as regulation issues and its effects.
The article shows limitations for SWN’s efficiency presenting quantitative analysis of the consequences associated with the SWN’s incentives to inflate capex, regulation inefficiency, guaranteeing non-discriminatory access as well as additional costs to comply with state procurement rules.
The methodology may be used for regulatory impact assessment that make the article especially valuable in analysis of state intervention.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.