Борьба с контрафактом: проблемы сотрудничества бизнеса и власти
A problem of the boundaries of counterfeit phenomenon not coinciding in consumers, lawmakers and possessor of rights' minds is discussed in this paper. It contains systemized date on the scale of counterfeit business and barriers on the way of a contra counterfeit policy. There also are generalized suggestions of authority bodies and possessor of rights about the ways of fight with counterfeit.
Economy is embedded in ongoing concrete social networks, and economic processes are increasingly international in character. Three interrelated processes are crucial for setting the frame of analysis for this book: globalisation, development of post-industrial societies, and transformation of European post-socialist countries. Within this framework the main issues will be as follows: economies in transition - reliable patterns, imitation, local adaptation, cultural embeddedness; multiplicity of markets - commodification of life, new markets in old societies; economic behavior - households, micro-enterprises, local and global influences; and, contemporary polities i.e. states, the European Union and global corporations. The stress will be placed on actors, relations and institutions as the driving forces of the above described processes. The authors of this collection analyze, based on their empirical material, very interesting socio-economic issues. These are: ethical consumption from the perspective of the moral economy and its connection to political institutions in Europe (and particularly in Hungary); the cultural context of consumption, both in the case of social networks in Bangladesh and of counterfeited goods on the Russian market; the new and old, individual and organizational actors in transition economies, for instance in Poland and Croatia; the new approach to corporations as global actors, stressing their social responsibility; the dynamics of managerial practices in the example of Russia; the influence of EU funds and policies on the Polish SMEs market; the cultural embeddedness of economic behavior, in the case of Poles working in the Scottish market and of entrepreneurs in Damascus; the retirement policy in the fast aging societies of Spain and Poland; and, the emergence of the new markets, like that of health services, in Russia and that of the property market in Eastern and Central Europe.
The paper argues that when developing an explanatory model of the early-stage entrepreneurial activity level (measured by total index of early entrepreneurial activity - TEA) one should consider the ‘path dependency’ of the ‘institutional matrix’ of different societies. Otherwise one could wonder why some theoretical models of TEA determining factors, as provided by a lot of studies, are not statistically significant for younger market systems and entrepreneurship in transitional economies. However, comparing Global Entrepreneurship Monitor (GEM) data with the scope of official statistics provides a deeper insight into adults’ intrinsic incentives to become entrepreneurial. A statistical analysis
of national TEA levels does not support the thesis that TEA levels, and structure, change under economic slowdown. Therefore, it seems logical to suggest that to interpret the TEA level it is important to examine some fundamental specific of different types of national markets rather than just the actual economic situation itself. When testing this hypothesis, the authors compared the characteristics of GEM countries with stable, high or low TEA levels. A Fisher’s linear discriminant analysis (FLDA) is used to examine whether different groups of countries can be distinguished by linear combinations of predictor variables and to determine which variables are responsible for this separation. The FLDA model explains the parabolic form of the relation between the level of economic development and TEA. A database of independent variables includes some different quantitative, ordinal and nominal variables determining the context of the national capital accumulation history. Using FLDA, we argue, one might foresee future tendencies of TEA - not only for GEM participating countries.
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.