Improving the transport system as the basis for economic growth in the regions: agent based models application
The development of transport infrastructure is an important factor in the economic growth of the territory. The ability to predict the transport demand and traffic on the road network is vital for development of regional and urban transport system. Agent based modelling has emerged as a practice tool of traffic and transport planning in region and urban area. The purpose of the research is to assess the possibility of using agent based models for transport planning in Russian regions and cities.
In order to reach the set, it was studied the theoretical basis of the scientific method. The main trends in the development of the transport system in the cities and regions of Russia were assessed. It was made an assessment of the impact of the road transport infrastructure development on the economic growth of Russian regions. It is shown that when analyzing Russian regions, it is necessary to take into account the level of development of not only the automotive infrastructure, but also other types of transport. The role of transport infrastructure for economic growth was shown. The characteristics of different types of agent based models used to solve problems of the regional and urban transport system were given and it was done the corresponding conclusions.
The results of our research will allow revealing the basic tendencies of development of transport system as a basis of economic growth in regions, to determine the possibility of using agent based models in solving such problems. In conclusion, we offer some practical recommendations for improving regional transport system and provide economic policies to ensure economic growth.
The sector of knowledgeintensive business services (KIBS) not only contributes to its own dynamic and innovative development but also to the development of the external environment through the creation, accumulation, and dissemination of knowledge. Therefore, it is considered one of the key pillars of the knowledgebased economy. This article addresses the problem of its spatial distribution in Russia. The basis of the study is uniquely empirical, obtained through a series of largescale surveys among Russian pro ducers and consumers of KIBS. The collected data provide quantitative evidence for the spatial dimension of the sector. Comparative analysis of the production and consumption of KIBS in Russia’s federal districts makes it possible to classify the latter in terms of the exchange of related services and mapping of the intensity of their interregional supply and demand across federal districts. It is established that companies offering KIBS in Russia are largely concentrated in big cities. The demand for KIBS is more distributed, but not spa tially neutral. This paper may be of interest to researchers focusing on the spatial distribution of elements of the innovationbased economy in Russia. It is also relevant for regional authorities, because it can help them assess the development capacity of their regions.
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.
The general region socio-economical developement estimation approach is based on the agregation of diffeerent indices into one number. This approach leads to the loss of information, because highly economically developed regions are mixed with the poorly developed regions which live only due to subsidies. The new complex-valued index is proposed in the article. The usage of the index allows to evaluate the regions' developement from two separated sides: the social developement and economical developement. The simple way of such a complex-valued indices is proposed in the article.
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.
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.