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Measuring the Synthetic Categories of Quality of Life in a Region and Identification of Main Trends to Improve the Social and Economic Policy (Samara Region and its Constituent Territories)

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  • Sergei Aivazian

    (CEMI RAS, Moscow, Russia)

  • Vladimir Stepanov

    (CEMI RAS, Moscow, Russia)

  • Maria Kozlova

    (CEMI RAS, Moscow, Russia)

Abstract

The work offers the methodology for measuring, monitoring and analyzing the main synthetic categories of quality of life on a given territory (country, region, municipal district). The work shows how the methodology was implemented to handle the data gathered in the Samara region and its constituent territories. It is also shown how the methodology can be used to identify the main trends in improving the social and economic policy of the regional executive bodies. A special section includes analytical survey of the main concepts related to quality of life and the best international approaches to measuring the quality of life.

Suggested Citation

  • Sergei Aivazian & Vladimir Stepanov & Maria Kozlova, 2006. "Measuring the Synthetic Categories of Quality of Life in a Region and Identification of Main Trends to Improve the Social and Economic Policy (Samara Region and its Constituent Territories)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 2(2), pages 18-84.
    • Handle: RePEc:ris:apltrx:0086
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    Cited by:

    1. Дюжева Наталия Валерьевна & Балашова Светлана Алексеевна, 2013. "Разработка Индекса Приоритетности Сотрудничества Российской Федерации В Космической Отрасли С Развивающимися Странами Азии, Африки И Латинской Америки»," RUDN Journal of Economics Вестник Российского университета дружбы народов. Серия: Экономика, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Российский университет дружбы народов», issue 1, pages 15-30.
    2. Gordey A. Yasterbov & Alexey R. Bessudnov & Marina A. Pinskaya & Sergey G. Kosaretsky, 2014. "Contextualizing Academic Performance In Russian Schools: School Characteristics, The Composition Of Student Body And Local Deprivation," HSE Working papers WP BRP 55/SOC/2014, National Research University Higher School of Economics.
    3. Svetlana Naiden & Anna Belousova, 2018. "Methodological Tools to Assess the Population Welfare: Interregional Comparison," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 53-68.
    4. Балашова С.А. & Хрусталев Е.Ю., 2014. "Комплексная Оценка Показателей Инновационного Развития Методами Многомерного Статистического Анализа (На Примере Стран Европейского Союза)," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 50(2), pages 96-110, апрель.
    5. Ludmila Bakumenko & Peter Korotkov, 2008. "An Integrated Estimate of the Quality and Degree of Ecological Sustainability of the Region Environment (Case of the Mari El Republic)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 9(1), pages 73-92.
    6. Irina Gerasimova, 2009. "Sources of Income as a Factor of Interregional Social Economic Differentiation of the Russia’s Population (1995-2007)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 16(4), pages 60-84.
    7. Anna Verenikina & John Finley & Alexei Verenikin & Maria Melanina, 2022. "Business Innovation Activity and the Fourth Industrial Revolution in Russia," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 130-144.
    8. Mariya V. Shlyapina & Elena A. Tretyakova, 2024. "A nexus between regional welfare and sustainable development: A conceptual model," Journal of New Economy, Ural State University of Economics, vol. 25(4), pages 85-105, December.
    9. Maria Volkova, 2010. "Comparison of objectivistic and subjectivist approaches to measurement of synthetic la-tent categories of Quality of Life of the population: results of the empirical analysis of Russian data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 19(3), pages 62-90.
    10. Ястребов Г. А. & Бессуднов А. Р. & Пинская М. А. & Косарецкий С. Г., 2013. "Проблема Контекстуализации Образовательных Результатов:Школы, Социальный Состав Учащихся И Уровень Депривации Территорий," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 188-246.

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    Keywords

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    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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