Об оценке рисков в использовании нематериальных активов
One of the basic factors of economic growth in the information knowledge - based economy is the innovation component determined by the level of intellectual capital usage. Of the specifics in the usage of intellectual capital is that the cost evaluation of intellectual resources on the macro-level as a factor of economic growth is extremely difficult and there are more evaluation possibilities on the micro-level. The risk's estimation based on making use of discount theory.
According to the framework of knowledge economy, production and management of knowledge are key aspects of firm’s activity nowadays. Intellectual capital (IC) is the crucial factor for company survival in the market. Therefore it is vital to realize the way that this capital helps to create firm value. The purpose of this study is to test empirically one aspect of the relationship between intellectual capital components and business performance – the influence of intellectual capital structure on process of firm’s value added creation.
In order to analyze the process of intellectual capital transformation into the company value, the balanced panel data were collected. The sample consists of 64 British firms in 6 industries: retail and wholesale trade, machinery manufacture, chemicals manufacture, transport and telecommunications, oil extraction and producing. The panel includes five years: from 2005 to 2009. In order to obtain comprehensive data of chosen companies we used Amadeus Database (Bureau Van Dijk) as like as information from companies’ websites.
As far as there is no singular method of measuring value added by intellectual capital, we used five the most common methods: EVATM, MVATM, FGVTM, VAICTM, P/B ratio. We also used 14 variables as proxies for intellectual capital components.
The models are estimated with pooled cross-sectional OLS method.
Most strongly influence of the intellectual assets structure is reflected in VAIC and FGV. At the same time, EVA and P/B ratio have weak or not significant relationship with the structure of the intellectual assets portfolio.
It should also be noted that models with human capital proxy in the denominator show a significant positive dependency between a ratio of the intellectual capital components and value added.
Moreover consideration of the industry factor changes the results only slightly.
The present study advances our understanding of how to manage knowledge-related resources and contributes to effective investment management. The results confirm that structure of intellectual assets has quite stable linear effect on the value added created by the company. The effect is observed both in the short and long term period. Consequently, management should consider not only an accumulated volume of intellectual capital, but also the ratio between these components in order to increase company value.
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.
The purpose of this research is to develop cost-effectiveness tools for the analysis of company’s intellectual resources, in terms of resource-based and value-based approaches. Our study focuses on the evaluation of intellectual capital methods to discover the drivers of company growth. We suppose that the potential effectiveness of intellectual capital resources varies according to different institutional factors. Several statistical methods will be used for the empirical issues in this research, including common cross-sectional and panel data analysis, and the instrumental variables method. The database collected for this purpose will consist of financial and economic indicators underlying the intellectual capital evaluation, such as strategic performance indicators (EVA© and FGV©).The dataset includes companies from different countries and industries according to the Knowledge Economy Index of the World Bank. The industries presented in the dataset are selected according to the predominance of several intellectual capital elements. The database includes financial services, wholesale and retail trade, machinery and equipment manufacture, the chemical industry, and transport and communications. As a result of the empirical research, we expect to answer the following questions:Is there a close relationship betweenintellectual capital quality and company performance? What are the external and internalfactors affecting this relationship? (country, industry, company size, market dynamics, etc.)
These proceedings represent the work of researchers participating in the 11th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning – ICICKM 2014, which this year is being held at The University of Sydney Business School, The University of Sydney, Australia. The Conference Co‐Chairs are Dr John Dumay from Macquarie University, Sydney, Australia and Dr Gary Oliver from the University of Sydney, Australia. The conference will be opened with a keynote by Göran Roos, Advanced Manufacturing Council, Adelaide, Australia who will address the topic of “Intellectual capital in Australia: Economic development in a high cost economy”. The second day will be opened with a from James Guthrie, University of Sydney, Australia on the topic of “Intellectual Capital and the Public Sector Research: Past, Present, and Future”. The ICICKM Conference constitutes a valuable platform for individuals to present their research findings, display their work in progress and discuss conceptual advances in many different branches of intellectual capital, knowledge management and organisational learning. At the same time, it provides an important opportunity for members of the IC, KM and OL communities to come together with peers, share knowledge and exchange ideas. ICICKM has evolved and developed over the last decade, and the range of papers accepted in this year’s conference ensures an interesting two‐day event. Following an initial submission of 144 abstracts that have undergone a double blind peer review process, 53 Research papers, 13 PhD Research papers, 1 Master’s Research paper, 1 Work‐in‐Progress papers are published in the ICICKM 2014 Conference Proceedings, representing work from Australia, Canada, China, Colombia, Czech Republic, Denmark, Estonia, Finland, France, Iran, Italy, Japan, Malaysia, New Zealand, Nigeria, Poland, Romania, Russia, Saudi Arabia, Singapore, Slovakia, South Africa, South Korea, Sweden, Taiwan, UK and USA. We hope that you have an enjoyable conference.
Effective property rights protection plays a fundamental role in promoting economic performance. Yet measurement problems make the relationship between property rights and entrepreneurship an ambiguous issue. As an advancement on previous research in this paper we propose a new approach to the evaluation of the security of property rights based on direct measures that overcomes some limitations of previous studies. We apply this new metrics to a survey of manufacturing firms in Russia to identify the economic effects associated with the lack of property protection in a transition economy. Our analysis supports the view that there is a close relationship between institutions, property rights and economic growth. Our findings confirm that redistributive risks provide a depressing effect on investment and innovative activity of manufacturing enterprises and potentially result in a huge loss in efficiency and economic growth, which in other institutional settings could have been avoided.
This research aims to analyze the ways of modernization of economy on the base of modern occidental management, industrial and accounting practices diffusion in the enterprises of Russian Federation. In particular, the new emerging paradigm, the clusters, is analyzed. The relevance of this argument stands, on the one hand, in the increasing level of economic, political and trade relations between West and Russia and the growing weight of Russia on the international arena and, secondly, the lack of systematic material on this topic. Thus, the research aims to verify whether and how the intensification of these relations has an impact on corporate culture and "way of doing business" in Russia according to Western, in general, and Italian, in particular, best practices.
In this paper we study convergence among Russian regions. We find that while there was no convergence in 1990s, the situation changed dramatically in 2000s. While interregional GDP per capita gaps still persist, the differentials in incomes and wages decreased substantially. We show that fiscal redistribution did not play a major role in convergence. We therefore try to understand the phenomenon of recent convergence using panel data on the interregional reallocation of capital and labor. We find that capital market in Russian regions is integrated in a sense that local investment does not depend on local savings. We also show that economic growth and financial development has substantially decreased the barriers to labor mobility. We find that in 1990s many poor Russian regions were in a poverty trap: potential workers wanted to leave those regions but could not afford to finance the move. In 2000s (especially in late 2000s), these barriers were no longer binding. Overall economic development allowed even poorest Russian regions to grow out of the poverty traps. This resulted in convergence in Russian labor market; the interregional gaps in incomes, wages and unemployment rates are now below those in Europe. The results imply that economic growth and development of financial and real estate markets eventually result in interregional convergence.
The modern concept of modernizing Russia somehow reproduce the history of the theory of innovation. The theory of innovation in its development has gone through a least 3 stages. In the first phase (1910 - first half of the 40s) to the forefront issues of understanding the nature of innovation and their role in the development of society over time (long, medium and short periods), the relationship of innovation and long cycles conditions. This period is associated with the names of J.A.Schumpeter, M.I.Tugan-Baranovsky and N.D. Kondratieff. The second stage in the development of innovation theory (second half 1940 - first half of the 1970s) is characterized by the increased role of macroeconomic analysis, in turn, he has at least two substages: the first of which was dominated by the ideas of neo-Keynesians, on the second-neoclassical. The third stage of development of the theory of innovation began in the mid-1970s and proldolzhaetsya to the present. It is characterized by an offensive alternative approach to macroeconomic theory. With a certain degree of conditionality is also possible to distinguish two substages. The first (second half of the 1970s - early 1990s) is characterized by the emergence of new ideas drawn from evolutionary theory, institutionalism (the theory of the firm) and management (innovation management). In the second substage (mid 90s) innovations studied by the methods of systems analysis. The authors are increasingly focused on issues of comparative studies: a comparative analysis of innovation policy in different countries, study the ways and means of forming an effective innovation systems. In the report it is critically considered not only the official point of view, but also M. Porter, K. Ketels work “Competitiveness at the Crossroads: Choosing the Future Direction of the Russian Economy”. Also «The forecast of innovative, technological and structural dynamics of Russian economy till 2030» and RAND Corporation report “The Global Technology Revolution 2020: Trends, Drivers, Barriers, and Social Implications” are analyzed. In this paper institutional preconditions and possibilities of application of the concept of social market economy in the 21st century Russia were analyzed. Basic elements of social market economy are personal liberty, social justice, and economic efficiency.
The economic crisis has uncovered three negative Russian tendencies that created institutional obstacles for market economy growth during the last decade: deepening of raw materials specialization, wear and tear of the equipment, gap in scientific and technical progress, and strengthening of the government. To stop these negative tendencies and overcome economic crisis it is necessary to reform developed institutes.
The major problem of the Russian economy is its low performance level. Overcoming development gap in comparison with developed countries will become possible only with the help of innovations. This means that process of generating and using Schumpeterian-type innovations should become the key factor of economic development. It is necessary to note that innovative activity of businessmen can be present in various forms. Depending on existing game rules business activity can get not only productive (J. A. Schumpeter’s creative destruction), but also unproductive (rent seeking) orientation.
The “Concept 2020” analyses the global challenges which Russia faces in its development that amplify high level of social inequality and regional differentiation, preservation of barriers to conducting enterprise activity, weak interrelation of education, science and business, absence of necessary competition in various markets and low level of social capital development. Under these conditions, as A. Gerschenkron wrote, the government becomes the leading factor of economic modernization, and it is its representatives that try to shape the concept of long-term socio-economic development of the country.
It is supposed that gross national product growth will be provided, mainly, by means of priority development of labour productivity and large capital assets investments. Our calculations show they considerably advance growth of productivity and gross national product, and that will lead to increase in a capital intensity of production and falling yield on capital investment. The arising gap between export and import, according to authors of the Concept, will be covered by the accruing inflow of foreign capital.
However the main drawback is the mechanism of maintaining economic growth. Defining concrete aims of development is an important, but an insufficient condition. The institutional mechanism of private sector development stimulation is not developed at all. Meanwhile, sharp increase of expenses on social sphere will raise the question about budget spending. It can be reached either by increase in taxes or by public sector expansion.
In the report it is critically considered not only the official point of view, but also Porter M., Ketels K. “Competitiveness at the Crossroads: Choosing the Future Direction of the Russian Economy”, «The forecast of innovative, technological and structural dynamics of Russian economy till 2030», and RAND Corporation report “The Global Technology Revolution 2020: Trends, Drivers, Barriers, and Social Implications” devoted to tendencies of development of 16 technologies in 29 countries and other forecasts.
In this paper we analyze institutional preconditions and possibilities of application of the concept of social market economy in the 21st century Russia. Basic elements of social market economy are personal liberty, social justice, and economic efficiency.
Personal liberty assumes trust strengthening between agents, development of guarantees of private property, and regular economic policy promoting freedom.
With social justice present market economy promotes social development and strengthens middle class. Democracy will allow to break administrative barriers and to create public control. Social justice also includes address support of vulnerable regions of Russia.
Economic efficiency should be directed towards creation and maintenance of competitive order, strengthening of antimonopoly activity and improving fair entrepreneur’s image. This will make Russia more attractive for workers from abroad and help it develop integrative relations with neighboring countries.
All these measures will raise economic efficiency while creating preconditions for a fast overcoming of the crisis and increasing the well-being and the acceleration of economic development of Russia.
Institutions affect investment decisions, including investments in human capital. Hence institutions are relevant for the allocation of talent. Good market-supporting institutions attract talent to productive value-creating activities, whereas poor ones raise the appeal of rent-seeking. We propose a theoretical model that predicts that more talented individuals are particularly sensitive in their career choices to the quality of institutions, and test these predictions on a sample of around 95 countries of the world. We find a strong positive association between the quality of institutions and graduation of college and university students in science, and an even stronger negative correlation with graduation in law. Our findings are robust to various specifications of empirical models, including smaller samples of former colonies and transition countries. The quality of human capital makes the distinction between educational choices under strong and weak institutions particularly sharp. We show that the allocation of talent is an important link between institutions and growth.
Value-based management concept regards corporate value growth for all stakeholders as the main company purpose which nowadays is primarily provided by intangible assets. However analysis of the process of converting intellectual capital (IC) and its components into the company financial performance is still a challenging research area. The main aim of the current study is to investigate the intellectual capital transformation into the company value on the basis of available information.