Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона
A high level of the economic potential’s heterogeneity, precarious climatic conditions led to the distortion of the life’s quality and depopulation of many local territories of Krasnoyarsk Krai and other Russian regions. The spatial disproportion of the labour forces hinders national plans for harne...
Published in: | Economy of Region |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | Russian |
Published: |
Institute of Economics, Ural Branch of the Russian Academy of Sciences
2019
|
Subjects: | |
Online Access: | http://elar.urfu.ru/handle/10995/91641 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078029066&doi=10.17059%2f2019-4-14&partnerID=40&md5=3cedee44d2b3fca1ba69033ea37bd866 https://doi.org/10.17059/2019-4-14 |
id |
fturalfuniv:oai:elar.urfu.ru:10995/91641 |
---|---|
record_format |
openpolar |
spelling |
fturalfuniv:oai:elar.urfu.ru:10995/91641 2024-01-21T10:04:16+01:00 Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона Indicative model for assessing the balance indicators of the labour forces in the region’s municipalities Podverbnykh, O. E. Samokhvalova, S. M. Подвербных, О. Е. Cамохвалова, С. М. 2019 application/pdf http://elar.urfu.ru/handle/10995/91641 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078029066&doi=10.17059%2f2019-4-14&partnerID=40&md5=3cedee44d2b3fca1ba69033ea37bd866 https://doi.org/10.17059/2019-4-14 ru rus Institute of Economics, Ural Branch of the Russian Academy of Sciences Институт экономики Уральского отделения РАН Экономика региона. 2019. Том 15, выпуск 4 Подвербных О. Е. Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона / О. Е. Подвербных, С. М. Cамохвалова. — DOI 10.17059/2019-4-14. — Текст : электронный // Экономика региона. — 2019. — Том 15, выпуск 4. — С. 1141-1155. 2411-1406 2072-6414 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078029066&doi=10.17059%2f2019-4-14&partnerID=40&md5=3cedee44d2b3fca1ba69033ea37bd866 WOS:000503421700014 http://elar.urfu.ru/handle/10995/91641 doi:10.17059/2019-4-14 85078029066 000503421700014 info:eu-repo/semantics/openAccess ANNUAL NUMBER OF POPULATION OF WORKING AGE ECONOMY OF MUNICIPALITIES MUNICIPAL STATISTICS OPEN STATISTICAL DATA REGIONAL DEVELOPMENT SPECIFIC FEATURES OF THE SOCIAL AND ECONOMIC CONDITIONS SPECIFIC RATES THE BALANCE OF THE LABOUR FORCES THE INDICATIVE APPROACH «ANCHOR» INDEX Article info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2019 fturalfuniv https://doi.org/10.17059/2019-4-1410.17059/2019-4-14. 2023-12-26T01:59:54Z A high level of the economic potential’s heterogeneity, precarious climatic conditions led to the distortion of the life’s quality and depopulation of many local territories of Krasnoyarsk Krai and other Russian regions. The spatial disproportion of the labour forces hinders national plans for harnessing the unique potential of Eastern Siberia and Arctic. The accuracy and efficiency of the regional economy’s regulation is ensured by the sufficient and coherent local analytical data about the balance of the labour forces’ demand and supply. However, assessment of the balance of the municipalities’ labour forces remains an open research question. This is due to the advantages of two-level spatial planning, insufficient connection between municipal and regional strategic decisions, limited municipal statistics. We assessed the balance of the municipality’s labour forces in order to theoretically substantiate and develop the indicative model for assessing the balance indicators of the labour forces in terms of the local territories. We formed the concept of the indicative balance model considering the specific features of the territories’ social and economic conditions. Moreover, we substantiated a methodology for assessing the balance indicators of the municipalities’ labour forces. Additionally, we developed a mathematical model of the indicative assessment of such forces, demonstrated an analytical database of the assessment data, and a software package for its calculation. We tested the model and calculated the balance of the labour forces for 61 municipalities of Krasnoyarsk Krai. We assessed the force indicators using three standard all-regional coefficients: coefficient of the working population of working age; coefficient of the foreign working migrants; coefficient of the population above working age and teenagers, employed in the economy. We calculated the differentiation of all-regional values by considering the specific rates, such as dependency ratio coefficient, employability coefficients, coefficients ... Article in Journal/Newspaper Arctic Krasnoyarsk Krai Siberia Ural Federal University (URFU): ELAR Arctic Economy of Region 15 4 1141 1155 |
institution |
Open Polar |
collection |
Ural Federal University (URFU): ELAR |
op_collection_id |
fturalfuniv |
language |
Russian |
topic |
ANNUAL NUMBER OF POPULATION OF WORKING AGE ECONOMY OF MUNICIPALITIES MUNICIPAL STATISTICS OPEN STATISTICAL DATA REGIONAL DEVELOPMENT SPECIFIC FEATURES OF THE SOCIAL AND ECONOMIC CONDITIONS SPECIFIC RATES THE BALANCE OF THE LABOUR FORCES THE INDICATIVE APPROACH «ANCHOR» INDEX |
spellingShingle |
ANNUAL NUMBER OF POPULATION OF WORKING AGE ECONOMY OF MUNICIPALITIES MUNICIPAL STATISTICS OPEN STATISTICAL DATA REGIONAL DEVELOPMENT SPECIFIC FEATURES OF THE SOCIAL AND ECONOMIC CONDITIONS SPECIFIC RATES THE BALANCE OF THE LABOUR FORCES THE INDICATIVE APPROACH «ANCHOR» INDEX Podverbnykh, O. E. Samokhvalova, S. M. Подвербных, О. Е. Cамохвалова, С. М. Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
topic_facet |
ANNUAL NUMBER OF POPULATION OF WORKING AGE ECONOMY OF MUNICIPALITIES MUNICIPAL STATISTICS OPEN STATISTICAL DATA REGIONAL DEVELOPMENT SPECIFIC FEATURES OF THE SOCIAL AND ECONOMIC CONDITIONS SPECIFIC RATES THE BALANCE OF THE LABOUR FORCES THE INDICATIVE APPROACH «ANCHOR» INDEX |
description |
A high level of the economic potential’s heterogeneity, precarious climatic conditions led to the distortion of the life’s quality and depopulation of many local territories of Krasnoyarsk Krai and other Russian regions. The spatial disproportion of the labour forces hinders national plans for harnessing the unique potential of Eastern Siberia and Arctic. The accuracy and efficiency of the regional economy’s regulation is ensured by the sufficient and coherent local analytical data about the balance of the labour forces’ demand and supply. However, assessment of the balance of the municipalities’ labour forces remains an open research question. This is due to the advantages of two-level spatial planning, insufficient connection between municipal and regional strategic decisions, limited municipal statistics. We assessed the balance of the municipality’s labour forces in order to theoretically substantiate and develop the indicative model for assessing the balance indicators of the labour forces in terms of the local territories. We formed the concept of the indicative balance model considering the specific features of the territories’ social and economic conditions. Moreover, we substantiated a methodology for assessing the balance indicators of the municipalities’ labour forces. Additionally, we developed a mathematical model of the indicative assessment of such forces, demonstrated an analytical database of the assessment data, and a software package for its calculation. We tested the model and calculated the balance of the labour forces for 61 municipalities of Krasnoyarsk Krai. We assessed the force indicators using three standard all-regional coefficients: coefficient of the working population of working age; coefficient of the foreign working migrants; coefficient of the population above working age and teenagers, employed in the economy. We calculated the differentiation of all-regional values by considering the specific rates, such as dependency ratio coefficient, employability coefficients, coefficients ... |
format |
Article in Journal/Newspaper |
author |
Podverbnykh, O. E. Samokhvalova, S. M. Подвербных, О. Е. Cамохвалова, С. М. |
author_facet |
Podverbnykh, O. E. Samokhvalova, S. M. Подвербных, О. Е. Cамохвалова, С. М. |
author_sort |
Podverbnykh, O. E. |
title |
Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
title_short |
Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
title_full |
Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
title_fullStr |
Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
title_full_unstemmed |
Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
title_sort |
индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона |
publisher |
Institute of Economics, Ural Branch of the Russian Academy of Sciences |
publishDate |
2019 |
url |
http://elar.urfu.ru/handle/10995/91641 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078029066&doi=10.17059%2f2019-4-14&partnerID=40&md5=3cedee44d2b3fca1ba69033ea37bd866 https://doi.org/10.17059/2019-4-14 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Krasnoyarsk Krai Siberia |
genre_facet |
Arctic Krasnoyarsk Krai Siberia |
op_relation |
Экономика региона. 2019. Том 15, выпуск 4 Подвербных О. Е. Индикативная модель оценки показателей баланса трудовых ресурсов муниципальных образований региона / О. Е. Подвербных, С. М. Cамохвалова. — DOI 10.17059/2019-4-14. — Текст : электронный // Экономика региона. — 2019. — Том 15, выпуск 4. — С. 1141-1155. 2411-1406 2072-6414 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078029066&doi=10.17059%2f2019-4-14&partnerID=40&md5=3cedee44d2b3fca1ba69033ea37bd866 WOS:000503421700014 http://elar.urfu.ru/handle/10995/91641 doi:10.17059/2019-4-14 85078029066 000503421700014 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.17059/2019-4-1410.17059/2019-4-14. |
container_title |
Economy of Region |
container_volume |
15 |
container_issue |
4 |
container_start_page |
1141 |
op_container_end_page |
1155 |
_version_ |
1788694667285495808 |