Экономика городов Казахстана
The article, based on current accounting data migration, analyzed the age characteristics of internal migration in Russia. The degree of influence of migration on the age structure of the population of 4 groups regions. On the example of the Central Federal District of the distributions increase (decrease) of population and intra-regional capitals periphery by age groups. More detailed analysis of migration age profile in Moscow and Moscow region.
Basing on the data of migrant population surplus/decline in Russian cities for the period 1991-2009 the attempt is made to evaluate the impact of the population size of a city as well as the city position in the system of central-peripheral relations on its migration balance. The author also explains the existing migration mobility pattern through hierarchy of cities within a region.
Subject Pursuing the socio-economic policy in regions requires understanding the processes of concentration of resources, population, enterprises in certain territories, mostly, in cities. Recent studies show increasing interest of economists in the Zipf's Law manifestation in the regional system, and cities distribution under the rank-size principle.
Objectives The aims are to test the Zipf's Law in Russian cities, to support or reject the hypothesis that in Russia the Zipf coefficient depends on the size of the geographical territory of the federal district.
Methods We used the least square method to analyze the Zipf's Law in Russian cities in general, and in each federal district, in particular. The sampling includes 1,123 Russian cities with population over 1,000 people in 2014. Results The Zipf's Law manifests in the entire territory of the Russian Federation. In federal districts, the Zipf coefficient ranges from -0.65 (the Far Eastern Federal District) to -0.9 (the Ural and North Caucasian Federal Districts). The analysis of the sampling of cities with population over 100 thousand people demonstrated -1.13 Zipf’s coefficient.
Conclusions The test of the Zipf's Law for Russian cities shows that it is valid for small (8,600-15,300 people) and large cities (66,700-331,000 people). The Zipf's Law fails for cities with population exceeding one million people (except for the city of St. Petersburg). The study supports the hypothesis on dependence of the Zipf coefficient on the size of a federal district.
This article describes the tools for analysis scientific-industrial complex of the city, analysis of scenarios of development of industrial areas, sets out the basic parameters of a mathematical model of the balance of interests.
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.