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Transformation of theoretical-methodological approaches and methodical tools of the individual and territory welfare diagnostics. Part 1. From spreading to the alternative diagnostics approaches (background)

Author

Listed:
  • Aleksandr Kuklin

    (Institute of Economics of the Ural Branch of the Russian Academy of Sciences)

  • Alexey Naydenov

    (Institute of Economics, Ural Branch of Russian Academy of Sciences. Centre for Economic Security)

  • Natalya Nikulina

    (Institute of Economics of the Ural Branch of Russian Academy of Sciences)

  • Tatiana Ponomaryova

    (Ural Branch of Russian Academy of Sciences Institute of Economics. The Centre for Economic Security)

Abstract

This article presents an evolution of theoretical and methodological approaches to the welfare study. Existing theories of wellbeing are grouped according to accounted method of goods and resources distribution among society members. As a welfare future as a category we highlight objective (measured) and subjective (estimated) components. Based on the analysis of scientific literature we determine the ratio of individual and social welfare. The main differences between the categories of “ welfare†and “wealth†are given. The main difference consists in multidirectional changes of welfare and wealth for an increase (decrease) in income of the individual (country). In this article we present an analysis of modern approaches to the definition of welfare: state, institutional and expendable approach. The welfare level estimation is complicated due to the need to consider the subjective component. The article provides an analysis of existing approaches to quantitative welfare evaluation ranging from the most common techniques (HDI, GDP) to alternative techniques (Happy Planet Index).Methodological devices are structured by levels of welfare assessment objects (world, country, region, people). Based on the analysis of the advantages and disadvantages of methods we can conclude that the most reliable method is a comprehensive approach, which includes economic, environmental, social, vital and infrastructure indicators. The author’s approach to the formation of a complex methodological tool for individual and territory welfare estimation is presented in this article.

Suggested Citation

  • Aleksandr Kuklin & Alexey Naydenov & Natalya Nikulina & Tatiana Ponomaryova, 2014. "Transformation of theoretical-methodological approaches and methodical tools of the individual and territory welfare diagnostics. Part 1. From spreading to the alternative diagnostics approaches (back," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 22-36.
  • Handle: RePEc:ura:ecregj:v:1:y:2014:i:3:p:22-36
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    References listed on IDEAS

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    1. Fritzell, Sara & Ringbäck Weitoft, Gunilla & Fritzell, Johan & Burström, Bo, 2007. "From macro to micro: The health of Swedish lone mothers during changing economic and social circumstances," Social Science & Medicine, Elsevier, vol. 65(12), pages 2474-2488, December.
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    Cited by:

    1. Andreyeva, E. L. & Canen, A. G. & Ratner, A. V. & Zakharova, V. V., 2015. "Region Foreign Economic Relations as a Factor of Reindustiralization," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 1(2), pages 357-367.
    2. 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.
    3. Aleksandr Kuklin & Gennadiy Bystray & Sergey Okhotnikov & Elena Chistova, 2015. "Economic Tomography: Opportunity to Foresee and Respond to Socio-Economic Crises," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 40-53.
    4. Kuzmin, Evgeny, 2014. "Individual Scaling and Overall Evaluation of System Uncertainty," MPRA Paper 60509, University Library of Munich, Germany.

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