4th International Multidisciplinary Scientific Conference on Cocial Sciences and Arts SGEM 2017. Modern Science, Conference proceedings, Volume III, Finance. Economics&Tourism
This book contains abstracts and complete papers approved by the Conference Review Committee. Authors are responsible for the content and accuracy.
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.
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 aim of this article is to present the results of a stady devoted to the analysis of problems and search of possibilities of interaction between banks and small business. The analysis is based on a review of data of borrowers of regional banks of Nizhny Novgorod region in Russia.