Modeling the Well-Being of the Population and Its Factors Using the Well-Being Index : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 12th Computer Science Networks and Systems in Cybernetics?; Czech; Czech

Год издания: 2023

Идентификатор DOI: 10.1007/978-3-031-35317-8_55

Ключевые слова: population well-being, well-being index, well-being factors, regional economy, economic development

Аннотация: The paper examines and evaluates the factors of population well-being based on the author's approach to modeling the well-being index. Increasing population well-being is one of the important tasks of economic policy in various countries. Therefore, the development of approaches to the analysis and modeling of population well-beingПоказать полностьюas a multi-faceted phenomenon is relevant. The authors of the paper propose a composite approach to assessing well-being considering more subjective areas and assessments of population well-being, as well as more objective areas and assessments of economic activity and state policies to support the population. An author's methodology for measuring the integral well-being index of the population in the regional economy was developed and tested by the authors using Russian regions as an example. An econometric modeling of factors of the integral well-being index was also conducted. The modeling results showed that economic activity in regions is more significant for integral population well-being than the quality of human capital. This speaks to the importance of prioritizing the creation of conditions for economic development and improving the material well-being of the population compared to socio-economic policy in other areas of population well-being.

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Издание

Журнал: Lecture Notes in NetWorks and Systems

Выпуск журнала: 723. 2

Номера страниц: 605-614

Место издания: Czech

Персоны

  • Rutsky V.N. (Siberian Federal University)
  • Fukalyak Alina (Siberian Federal University)
  • García Darío Salguero (Almería University)
  • Denisova Elena (Financial University under the Government of the Russian Federation)
  • Okashev N.A. (Stavropol State Agrarian University)
  • Devederkin I.V. (Stavropol State Agrarian University)
  • Bystrova N.V. (Minin Nizhny Novgorod State Pedagogical University)
  • Eliseeva E.N. (Financial University under the Government of the Russian Federation)
  • Tsarev Roman (Bauman Moscow State Technical University)

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