Analysis of Employment and Poverty Monitoring in the Subjects of Russia
- DOI
- 10.2991/assehr.k.210322.103How to use a DOI?
- Keywords
- Employment, Poverty, Monitoring, Labour market, Labour, Indicator, Trend, Russia, Development, Economy
- Abstract
This article aims to analyse employment in the Russian Federation and analyse poverty’s efficiency, reducing methods and monitoring. On the basis of the analysis of the content of the documents and other sources and the use of statistical data, the authors make the conclusion about the poverty situation in the subjects of Russia. The general algorithm for assessing the effectiveness of antipoverty program activities should involve an assessment of each of the activities in the context of its elements. At the same time, the evaluation should take into account the logic of the program. It will allow assessing the relationship of indicators and expected results of activities with the target indicators of the program, as well as assess the contribution of the implementation of activities to the achievement of program objectives and identify activities that do not correspond to the objectives of the program and do not contribute to the achievement of planned targets. The article includes the results of the monitoring of the implementation of regional programs to reduce the proportion of the population with incomes below the subsistence level using the software and information complex (PIK) as well.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Irina Omelchenko AU - Oleg Dozortzev AU - Marina Danilina AU - Ekaterina Safonova AU - Alexander Safonov AU - Olga Selivanova PY - 2021 DA - 2021/03/30 TI - Analysis of Employment and Poverty Monitoring in the Subjects of Russia BT - Proceedings of the VIII International Scientific and Practical Conference 'Current problems of social and labour relations' (ISPC-CPSLR 2020) PB - Atlantis Press SP - 165 EP - 173 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210322.103 DO - 10.2991/assehr.k.210322.103 ID - Omelchenko2021 ER -