Effects of Regulatory Reforms in Public Procurement: the Case of National University in Russia
In this paper, we regard public procurements as an instrument used by the state for indirect support of enterprises. In this context, we have posed the following questions: what place do the public procurements occupy in the system of relations between business and the state? Can we regard them as a component in "the system of exchanges" between enterprises and authorities? To what extent do public procurements are combined with measures for direct support of enterprises? To answer these questions, we used the data from a survey of enterprises conducted by the Institute for Industrial and Market Studies at the National Research University- Higher School of Economics in 2009. Our analysis gives us grounds to believe that as economic development of a region rises, direct support of enterprises declines giving way to indirect support by means of public procurements.
The article discusses the dialogue of Russian and Japanese cultures, focusing on the mutual perceptions. The author considers that, despite the complicated relationship characterized by mutual distrust of the sides, between Russia and Japan continues the dialogue, based on mutual interest in each other's culture. Much attention is paid to the development of culture dialog through the public organizations.
This paper analyses the impact of two reforms dealt with transparency improvement and adoption of more flexible regulation on effectiveness of procurement of a large state university (Higher School of Economics) in the period from 2008 to 2012. We evaluate the impact of two significant changes in the public procurement regulation: transfer to electronic auctions and adoption by this organization of its own Procurement Provision. We show that transfer to electronic auctions leads to higher competition and more significant price decreases, whereas the adoption of Procurement provision has an opposite effect. Regarding such indicator as delays in contracts execution, the first reform has no effect and the second regulation changes result in decreasing of delays.
The description of the domain-specific language focused on administrative regulations modeling is presented. The language has a simple syntax; it can be used by different categories of users.
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.