Особенности правоприменения и судебной статистики в регионах с разными уровнями предпринимательской активности
The analysis of region differentiation of microentrepreneurship development and indexes of judicial statistics based on the current data of statistical recording are given in the article. The capabilities of cluster analysis for revelation of typological groups of the Russian region depending on the level of entrepreneurial activities and the results of law enforcement practice are represented.
Regression, cluster and component analysis of economic globalization of several developed economies is conducted with the purpose to find out the level of international trade globalization. 4 clusters on the basis of trade balance in goods, trade balance in services, FDI are found out.
We present a complex analysis of business models for large, medium and small Russian commercial banks from 2006 to 2009. The Russian banks are grouped based on homogeneity criteria of their financial and operational outcomes. The banks’ structure of assets and liabilities, profitability and liquidity ratio are taken into account. The results show how the banks are adjusted their business models before and after the financial turmoil taken place in 2008. In addition, the prevailing banking business models observed for the leading banks in Russia are defined. The banks often changing their business models are found and analyzed.
Recent research of entrepreneurial activity is undoubtedly among the most dynamically developing areas of socio-economic studies and this is well maintained by the number of published papers, researchers attending panel discussions on entrepreneurial activity, and the growing lists of international peer review journals and conferences. However, along with the entrepreneurship legitimization problems, so far, prospects for development of entrepreneurial activity research remain uncertain.
Changes in methods and structure of this research mostly relate to the fact that Russia is undergoing a large-scale development of statistical methodologies to ensure consistency of the country’s statistics with international standards, and those of OECD as such, improve National Accounts System along with demographic data and National Healthcare statistics, design methodology for basic tables “costs-output”, and for statistical surveys of workforce, quality of life and households. In order to align with the business-logic and obtain timely and reliable statistical data on entrepreneurship, we find the conducted work critically important to meet current challenging issues. From this perspective, the research of anatomy of entrepreneurial activity can become a key element of the economic development evaluation and address the challenges of the modern society.
Keywords: statistics, entrepreneurship, entrepreneurial activity, economy, challenges.
JEL Classification: M21; O1
Data Correcting Algorithms in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems.
For the development of technological innovations it is essential to ensure competent and modern commercialization within the framework of balanced business models. Multifactor cluster analysis of business models of contemporary high-technology companies and industries shows that the most effective commercialization emanate in the framework of four basic models. Company's profitability does not depend directly on the level of its technologies, but is determined by the quality of these business models. Besides trends in high-technology industries demonstrate raising segmentation and differentiation of markets and more frequent utilization of value network models.
This paper presents a pattern behavioral analysis of 100 largest Russian commercial banks by total assets during an eight- year period: from the first quarter of 1999 to the second quarter of 2007. Bank performance indicators are analyzed. Structural similarities in the development of the banks are examined. A cluster analysis is applied to determine banks with a similar structure of operations. This analysis allows to estimate how the structure of the Russian banking system has been changing over time. In particular, it allows to identify prevailing patterns in the behavior of Russian commercial banks and to analyze the stability of their position in a particular pattern.
How seriously does the degree of trust in basic social and political institutions for people from different countries depend on their individual characteristics? To answer this question, three types of models have been estimated using the data of the fifth wave of the World Value Survey: the first one based on the assumption about a generalized relationship for all countries, the second one taking into account heterogeneity of countries (using introduction of the country-level variables), the third type applying a preliminary subdivision of countries into five clusters. The obtained results have been used for suggestion of possible actions to increase public confidence in the basic institutions.