Сравнительный анализ благополучия пожилых людей в регионах Сибирского федерального округа в 2014 и 2016 гг. на основе российского индекса благополучия старшего поколения = Comparative analysis of the elderly wellbeing in the Siberian Federal district regions in 2014-2016 based on the Russian elderly wellbeing index / И. В. Гуменников, И. А. Павлова, Е. А. Монастырный
Язык: русский ; резюме, eng.Страна: Россия.Серия: Институты реализации ресурсного потенциала человека в цифровой экономикеРезюме или реферат: The paper examines the wellbeing of older people living in 12 (as of the end of 2016) regions of the Siberian Federal District. The assessment is based on the Russian Elderly Wellbeing Index (REWI) and opinion polls (Public Opinion Foundation). Estimated period: 2014-2016. Results of the Siberian Federal District regions were weaker in 2016 than in 2014 and below the average Russian values. The Economic domain has slightly grown. The largest drop has been registered for the Health domain. Based on the analysis performed, we can conclude that subjective indicators have greater dispersion compared to objective ones and change faster in time..Примечания о наличии в документе библиографии/указателя: [Библиогр.: с. 568 (4 назв.)].Тематика: электронные ресурсы | труды учёных ТПУ | wellbeing | assessment | Russian Elderly Wellbeing Index | Russian regions | Siberian Federal District | благополучие | пожилые люди | Сибирский федеральный округ | сравнительный анализ | качество жизни Ресурсы он-лайн:Щелкните здесь для доступа в онлайнЗаглавие с титульного экрана
[Библиогр.: с. 568 (4 назв.)]
The paper examines the wellbeing of older people living in 12 (as of the end of 2016) regions of the Siberian Federal District. The assessment is based on the Russian Elderly Wellbeing Index (REWI) and opinion polls (Public Opinion Foundation). Estimated period: 2014-2016. Results of the Siberian Federal District regions were weaker in 2016 than in 2014 and below the average Russian values. The Economic domain has slightly grown. The largest drop has been registered for the Health domain. Based on the analysis performed, we can conclude that subjective indicators have greater dispersion compared to objective ones and change faster in time.
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