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XI международная научная конференция по проблемам развития экономики и общества: В 3 кн. Кн. 2.
Current article is dedicated to the relationship between effectiveness of usage of intellectual capital and capital structure of firms in Russia in 2005-2007. Current research showed that effectiveness of usage of intellectual capital of firms has a positive influence over the level of financial leverage. The result of the research has showed that the more effective usage of intellectual capital makes a company more attractive for the credit organizations and opens more sources to obtain financing. There were also revealed some specific features of relationship between the effectiveness of utilization of intellectual capital and corporate financial decisions in Russia. The result is consistent with the results from the similar researches from the developed markets.
On the basis of in-depth case studies of four Russian regions, Kirov and Voronezh oblasts and Krasnoyarsk and Perm' krais, the trade-offs among social and economic policy at the regional level in Russia are examined. All four regional governments seek to develop entrepreneurship while preserving social welfare obligations and improving compensation in the public sector. Richer regions have a greater ability to reconcile social commitments with the promotion of business. Regions differ in their development strategies, some placing greater emphasis on indigenous business development and others seeking to attract federal or foreign investment. Governors have considerable discretion in choosing their strategy so long as they meet basic performance demands set by the federal government such as ensuring good results for the United Russia party. In all four regions, governments consult actively with local business associations whereas organized labor is weak. However, the absence of effective institutions to enforce commitments undertaken by government and its social partners undermines regional capacity to use social policy as a basis for long-term economic development.
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.