Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The article is devoted to the development of measures for complex support of monoprofile municipal entities. These measures have aimes to improve their socio-economic situation. The topicality of the study is that in many mining monoprofile municipal entities (MME) there are socio-economic problems the solution of which affects the life quality of their 1.26 million residents and the performance of 41 out of 58 mines of the country. The authors used decomposition of city-forming enterprises of MME of the Russian Federation and depending on the type of their economic activity worked out special measures on developing mining MME grouped according to three directions. The article presents the results of analysis of the socio-economic situation in mining MME of the Russian Federation. The analysis was conducted on the basis of the data about the quality indicators of the town environment, the number of residents, average unemployment rate, average number of employees of city-forming enterprises and the number of employees to be dismissed. The authors present the results of financial analysis of the city-forming enterprises involved in underground coal mining. The results of the analysis provided the opportunity to give recommendations on the possible directions for development of mining MME and suggest the measures for improving their socio-economic situation. The measures take into account social, natural-geographical and financial-economic aspects of development of such municipal entities.
The article is devoted to the development of measures for complex support of monoprofile municipal entities. These measures have aimes to improve their socio-economic situation. The topicality of the study is that in many mining monoprofile municipal entities (MME) there are socio-economic problems the solution of which affects the life quality of their 1.26 million residents and the performance of 41 out of 58 mines of the country. The authors used decomposition of city-forming enterprises of MME of the Russian Federation and depending on the type of their economic activity worked out special measures on developing mining MME grouped according to three directions. The article presents the results of analysis of the socio-economic situation in mining MME of the Russian Federation. The analysis was conducted on the basis of the data about the quality indicators of the town environment, the number of residents, average unemployment rate, average number of employees of city-forming enterprises and the number of employees to be dismissed. The authors present the results of financial analysis of the city-forming enterprises involved in underground coal mining. The results of the analysis provided the opportunity to give recommendations on the possible directions for development of mining MME and suggest the measures for improving their socio-economic situation. The measures take into account social, natural-geographical and financial-economic aspects of development of such municipal entities.
The article describes the main features of the labor market in Pavlovo, Nizhny Novgorod oblast, analyzes employment strategies of the population from different property groups. Due to its geographical location, socio-demographic structure, Pavlovo was chosen as an example of a typical small town in the European part of Russia. The article presents the results of sociological survey conducted in 2011 and 2021. The 2011 survey was carried out by the Institute of Socio-Economic Studies of Population of the FCTAS RAS (Moscow) and Lobachevsky State University of Nizhniy Novgorod (Nizhny Novgorod) with participation of the universities of Glasgow (Scotland) and Uppsala (Sweden). The 2021 survey — by the Center for the Study of Social Systems, the Department of Sociology of Project Activity and Pro-Competitive Regulation of the Lobachevsky State University of Nizhniy Novgorod., the universities of Glasgow (Scotland), Uppsala (Sweden) with the support of the Scientific Information Center, Nizhny Novgorod. As a result of the cluster analysis, four social groups were identified that differ from each other in socio-economic characteristics and strategies of behavior in the labor market. The relationship between the level of education and the position on the labor market is clearly visible. In the group of affluent households, there are more people who have higher education. Higher education and qualification level allow one to occupy higher-paying positions, diversify career strategies even in a single-industry city. While in low-income families, the share of those who are employed in the industrial sector, in particular, at the city-forming enterprise, is higher. Affluent households show the greatest economic activity, while combining additional ways of earning with the main specialty. It is important to note that the lower the family income level, the less often they use the opportunities for additional earnings. People of retirement age, while maintaining an average level of economic activity and sufficient labor potential (education, skill level), are quite severely limited in employment opportunities. Factors reducing the material well-being of family are the presence of minor children, the position of a single parent, the status of a pensioner. Those living alone are also often low-income, especially women.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.