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Assessment of the Industrial Structure and its Influence on Sustainable Economic Development and Quality of Life of the Population of Different World Countries

Author

Listed:
  • Inna Gryshova

    (Jiangsu Normal University, 101 Shanghai Rd, Tongshan Qu, Xuzhou 221100, China)

  • Mykola Kyzym

    (National Academy of Sciences of Ukraine, Research Centre of Industrial Problems of Development, 1a Inzhenernyi Ln., 61166 Kharkiv, Ukraine)

  • Viktoriia Khaustova

    (National Academy of Sciences of Ukraine, Research Centre of Industrial Problems of Development, 1a Inzhenernyi Ln., 61166 Kharkiv, Ukraine)

  • Volodymyr Korneev

    (Ministry of Economic Development and Trade of Ukraine, State Research Institute of Informatization and Modeling of Economy, 38 Druzhby narodiv Boul., 01014 Kyiv, Ukraine)

  • Hennadii Kramarev

    (National Academy of Sciences of Ukraine, Research Centre of Industrial Problems of Development, 1a Inzhenernyi Ln., 61166 Kharkiv, Ukraine)

Abstract

The article proves that despite a significant growth in the service sector in recent years, industry remains the main engine of economic growth. Moreover, using the analysis of statistical data, it is shown that the development of industrial complexes of countries of the world is accompanied by corresponding structural changes, which in turn determines their economic development in general. The study aims to solve the following issues: which structure of the national industry can be considered progressive under modern conditions, i.e., can lead to progress and sustainable socio-economic growth; whether there is a correlation between the progressive structure of the country’s industry and its economic development and the quality of life of its population; how the approach of the country’s industrial structure to its progressive state influences the country’s economic development and quality of life of its population. The purpose of the study is to justify or refute the hypothesis about influence of progressiveness of the industrial structure on sustainable economic development and quality of life of the population. The main methods used in the study are cluster analysis and integral assessment. The statistical basis of the study is the data on inter-branch balances for 36 countries of the world for 2009, 2011 and 2014. The results obtained in the study allowed confirming the hypothesis about the positive influence of approach of the industrial structure of countries of the world to its progressive state on the sustainable economic development and quality of life of their population. This conclusion can be considered as the basis for forming the state policy of the world’s countries to develop their economies and improve the quality of life of their population.

Suggested Citation

  • Inna Gryshova & Mykola Kyzym & Viktoriia Khaustova & Volodymyr Korneev & Hennadii Kramarev, 2020. "Assessment of the Industrial Structure and its Influence on Sustainable Economic Development and Quality of Life of the Population of Different World Countries," Sustainability, MDPI, vol. 12(5), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:2072-:d:329888
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    References listed on IDEAS

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    Cited by:

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    2. Inna Gryshova & Mykola Kyzym & Irina Hubarieva & Viktoriia Khaustova & Anatoly Livinskyi & Mykola Koroshenko, 2020. "Assessment of the EU and Ukraine Economic Security and Its Influence on Their Sustainable Economic Development," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    3. Grzegorz Drozdowski & Paweł Dziekański, 2022. "Local Disproportions of Quality of Life and Their Influence on the Process of Green Economy Development in Polish Voivodships in 2010–2020," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    4. Piotr Misztal & Paweł Dziekański, 2023. "Green Economy and Waste Management as Determinants of Modeling Green Capital of Districts in Poland in 2010–2020," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    5. Eslam A. Hassanein & Nagwa Samak & Salwa Abdelaziz, 2024. "The synergetic effect of economic complexity and governance on quality of life: policy thresholds," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    6. Jana Coronicova Hurajova & Zuzana Hajduova, 2021. "Multiple-Criteria Decision Analysis Using TOPSIS and WSA Method for Quality of Life: The Case of Slovakia Regions," Mathematics, MDPI, vol. 9(19), pages 1-11, October.
    7. Zhicheng Duan & Tingting Tang, 2022. "Quantitative Simulation and Verification of the Coordination Curves between Sustainable Development and Green Innovation Efficiency: From the Perspective of Urban Agglomerations Development," Sustainability, MDPI, vol. 14(24), pages 1-22, December.

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