Циклически сбалансированные траектории в модели экономического роста с эндогенным переключением политики
Balanced growth paths are typical research subjects for models of macroeconomic dynamics. Balanced growth paths are model solutions that assume constant policy parameters (such as tax rate) and allow for monotonous and proportional growth of model components. In this paper, we construct and test a model with policy switching based on economic retrospective voting: the model allows to switch parties in office if an electorally important indicator exhibits decline. A change of ruling party brings about a change in policy. If the second party is then voted out of the office, the system experiences endogenous policy switching. Within this framework, we introduce the term "cyclically balanced growth paths", i.e. non-monotonous solutions where the proportionality of components is broken and then restored every political cycle. We conduct the analysis using differential equations theory and numerical experiments
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.
Labor productivity is the most important factor in the economic growth of the region. Traditional production functions assess the contribution of labor resources to three-fourths of the total one. But today there are new factors, the inclusion of which in the model is necessary, since they determine the key forces of economic development, identify the direction of regional policy.
Economic growth, according to neoclassical theory and the theory of endogenous growth, is influenced by labor resources: population density, quality of labor, the level of employment, investment in human capital, labor productivity. The role of human capital in the models of endogenous growth is considered at two angles: through the ability to generate knowledge and innovative development and as an independent factor - the accumulation of human capital in the region is the basis of economic growth.
The article analyzes classical and modern approaches to assessing the impact of labor resources on economic growth, shows the role played by production functions in such approaches. The characteristic of the main trends of the economic growth of the Russian regions is given, the analysis of development of labor resources and efficiency of their use is made. Production functions such as the Cobb-Douglas type are constructed for the Russian regions, showing the contribution of labor and capital to economic growth, and the statistical significance of these factors is determined. The study was conducted for 83 regions of Russia for the period from 1995 to 2015.
The study will identify the main trends of the impact of the labor force to economic growth, to form the main conclusions for economic policy in the regions of Russia.
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.
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.
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.
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.