A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY
Developing an effective employment system in the Arctic regions in the context of stagnant demographic and migration trends requires identifying types of economic activities that significantly influence employment growth. This necessity underscores the relevance of the research. The study aims to d...
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The Russian Academy of Sciences, Federal Research Centre Kola Science Centre
2024-12-01
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| Series: | Север и рынок: формирование экономического порядка |
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| _version_ | 1841550794729455616 |
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| author | Vladimir Nikolaevich Myakshin |
| author_facet | Vladimir Nikolaevich Myakshin |
| author_sort | Vladimir Nikolaevich Myakshin |
| collection | DOAJ |
| description | Developing an effective employment system in the Arctic regions in the context of stagnant demographic and migration trends requires identifying types of economic activities that significantly influence employment growth. This necessity underscores the relevance of the research. The study aims to determine sectoral priorities for boosting employment by identifying key employment growth drivers. The research hypothesis posits that sectors of economic specialization with a positive regional component in structural changes (indicating favorable regional factors) should be classified as employment growth drivers. To analyze the sectoral employment structures of the Arctic regions, the shift-share analysis method was employed, enabling the evaluation of the impact of national, sectoral, and regional factors on regional employment. This was complemented by the calculation of localization coefficients to assess the competitiveness and growth potential of economic activities from an employment perspective. The study’s primary contribution lies in developing an algorithm for identifying key employment growth drivers through structural change analysis and specialization analysis. The research introduces a novel classification system for economic activities based on localization coefficients and regional structural shifts. This classification distinguishes three groups: key employment growth drivers, potential employment growth drivers, and possible future employment growth drivers. The proposed methodology was tested using official data from the Federal State Statistics Service for the Arctic regions. The study assessed the employment growth potential of various economic activities and classified them according to the defined criteria. Identifying key employment growth drivers contributes to the scientific foundation of regional employment policies, a critical component of socio-economic development in the Arctic economy. This emphasizes the study’s relevance and its scientific and practical significance. Future research should focus on developing models that account for interrelations between economic activities and their multiplier effects. |
| format | Article |
| id | doaj-art-bd2a923a6fcc423e8beb3d0c2e4d195a |
| institution | Kabale University |
| issn | 2220-802X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | The Russian Academy of Sciences, Federal Research Centre Kola Science Centre |
| record_format | Article |
| series | Север и рынок: формирование экономического порядка |
| spelling | doaj-art-bd2a923a6fcc423e8beb3d0c2e4d195a2025-01-10T02:38:39ZengThe Russian Academy of Sciences, Federal Research Centre Kola Science CentreСевер и рынок: формирование экономического порядка2220-802X2024-12-0127472410.37614/2220-802X.4.2024.86.001A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMYVladimir Nikolaevich Myakshin0https://orcid.org/0000-0002-3989-7367Laverov Federal Centre for Integrated Arctic Research of the Ural Branch of the Russian Academy of Sciences, Arkhangelsk, RussiaDeveloping an effective employment system in the Arctic regions in the context of stagnant demographic and migration trends requires identifying types of economic activities that significantly influence employment growth. This necessity underscores the relevance of the research. The study aims to determine sectoral priorities for boosting employment by identifying key employment growth drivers. The research hypothesis posits that sectors of economic specialization with a positive regional component in structural changes (indicating favorable regional factors) should be classified as employment growth drivers. To analyze the sectoral employment structures of the Arctic regions, the shift-share analysis method was employed, enabling the evaluation of the impact of national, sectoral, and regional factors on regional employment. This was complemented by the calculation of localization coefficients to assess the competitiveness and growth potential of economic activities from an employment perspective. The study’s primary contribution lies in developing an algorithm for identifying key employment growth drivers through structural change analysis and specialization analysis. The research introduces a novel classification system for economic activities based on localization coefficients and regional structural shifts. This classification distinguishes three groups: key employment growth drivers, potential employment growth drivers, and possible future employment growth drivers. The proposed methodology was tested using official data from the Federal State Statistics Service for the Arctic regions. The study assessed the employment growth potential of various economic activities and classified them according to the defined criteria. Identifying key employment growth drivers contributes to the scientific foundation of regional employment policies, a critical component of socio-economic development in the Arctic economy. This emphasizes the study’s relevance and its scientific and practical significance. Future research should focus on developing models that account for interrelations between economic activities and their multiplier effects.arctic regionsregional employment structurestructural change componentseconomic activity typesspecialization sectorsregional employment policy. |
| spellingShingle | Vladimir Nikolaevich Myakshin A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY Север и рынок: формирование экономического порядка arctic regions regional employment structure structural change components economic activity types specialization sectors regional employment policy. |
| title | A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY |
| title_full | A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY |
| title_fullStr | A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY |
| title_full_unstemmed | A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY |
| title_short | A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY |
| title_sort | methodological framework for identifying employment growth drivers in the arctic economy |
| topic | arctic regions regional employment structure structural change components economic activity types specialization sectors regional employment policy. |
| work_keys_str_mv | AT vladimirnikolaevichmyakshin amethodologicalframeworkforidentifyingemploymentgrowthdriversinthearcticeconomy AT vladimirnikolaevichmyakshin methodologicalframeworkforidentifyingemploymentgrowthdriversinthearcticeconomy |