Микроданные выборочных обследований населения в контексте развития бизнес-демографии в России
The paper introduces microdata of the Global Entrepreneurship Monitor (GEM) and GeoRating Project that is also based on the GEM Methodology as supportive business demography statistics’ data sources in the scientific research steps for economic studies. To analyze the data collected via these surveys, and its validity and reliability authors provide the reader with a list of standard OECD and Eurostat definitions for the main vital events (births and deaths) of private enterprises, as well as enterprises’ birth rates, death rates and survival rates calculating. The paper states the advantages and disadvantages of adult population surveys’ microdata application for the empirical research of reproduction processes in the active stock of businesses, including nascent and newly-born enterprises. In addition, with use of these surveys microdata the picture diagram method is described as one of the most effective ways to graphically depict the age (duration) and motivation distribution of entrepreneurial cohorts; applications have been shown which demonstrate the range of possible analyses, such as cross-countries and regional comparisons of entrepreneurship development.
Modern economy gives specific challenges to every business unit, but for micro enterprises impossibility to overcome them may lead to disappearance. Transition economies sufficiently increase the role of small and micro enterprises because of the ability to respond to the systemic shock and generate jobs and income at the time when the large firm sector was undergoing a rapid decline. Micro-enterprises create favorable conditions for Russian sub-regional economic growth: they develop competitive environment, enlarge consumer sector and find a better use of local raw materials. The current study combines typology task with territory potential use analysis and the main objective of the study is Russian sub-regional differences analysis in micro-enterprises population development. The purpose of this research is to examine the national business environment on a regional basis, as well as to identify factors that determine the economic viability of different regions.
This paper investigates household consumption behavior in Russia. The model assumes that household consumption can be determined both by Euler equation and the rule of thumb. Using panel data on households (RLMS-HSE) from 2000 to 2011, we present estimates of elasticity of intertemporal substitution and show that an essential part of households consume part of their current income and do not solve optimization problem
The paper analyzes main results of an empirical study on components of Entrepreneurial Framework Conditions (EFC) in Russia. The study is based on the microdata of the Adult Population Survey obtained under the Global Entrepreneurship Monitor Project in 2011. The paper shows main quantitative and qualitative peculiarities of Russian population’s opinion on the EFC that determined fertility, mortality and survival of business in 2012 and will be important in a measure till 2014.
Based on the data of a WCIOM’s national survey, the article elaborates a syntactic and semantic analytical procedure to reconstruct a repertoire of the questions, which are matched to the fixed respondents’ answers (i. e. which presumably were actually answered), and to diagnose communicative adequacy of the basic question as it was designed for the questionnaire.
Organization and management in Russian companies - Comparative analysis of Eastern and Western regions based on micro data.
Chapter 1: Corporate governance system
Chapter 2: Human Resources and Labor Management
Chapter 3: Welfare
Chapter 4: Marketing
Chapter 5: Transportation / Logistics
Chapter 6: Business-State relations
Chapter 7: Economic sanctions
Appendix A: Outline of ERINA company survey
Appendix B: Survey results on investment, finance, foreign relations and Far East development
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.