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Improved Free Disposal Hull Methodology for China Provinces Effective Social-Economic Development Modeling

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Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies (MSBC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1717))

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Abstract

One of the key trends in sustainable development is to ensure integrated regions’ social development. Strengthening the “social” part of sustainable development leads to new ways of improving people’s quality of life. Mathematical modelling is one of the tools needed to transform the region’s economy from developing to developed state. A model may help explain a system, study the effects of different components, and make predictions about behaviour. This study critically examines the shortcomings and limitations of the existing VRS model to assess social efficiency in China provinces. The authors analyzed China provinces social effectiveness data to test the Data Envelope Analysis (DEA) obtained models. Social and economic data was used from China Year Statistical Books from 1997 to 2021. The total expenditures on health care and education were taken as input variables, and the Atkinson Index, the number of unemployed people and GDP were taken as output variables. Based on improved DEA models, target indicators of output social parameters were determined. The analysis of the obtained results suggests that using the proposed models would allow determining the directions of China provinces’ effective multifactorial development.

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Author information

Authors and Affiliations

  1. Computer Science Department, Kostroma State University, Kostroma, Russia

    Artem Denisov

  2. Department of Innovation Management, Saint-Petersburg Electrotechnical University (LETI), Saint-Petersburg, Russia

    Artem Denisov

  3. Department of Economics, Organization and Management of Production, Russian University of Transport (RUT MIIT), Moscow, Russia

    Wang Qian

  4. Jilin Railway Vocational College, Jilin, China

    Wang Qian

  5. Higher School of Economics, Moscow, Russia

    Elizaveta Steblianskaia

Authors
  1. Artem Denisov
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  2. Wang Qian
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  3. Elizaveta Steblianskaia
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Corresponding author

Correspondence to Wang Qian .

Editor information

Editors and Affiliations

  1. University of Arkansas at Little Rock, Little Rock, AR, USA

    Nitin Agarwal

  2. Central Economic Mathematical Institute of RAS, Moscow, Russia

    George B. Kleiner

  3. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Leonidas Sakalauskas

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Denisov, A., Qian, W., Steblianskaia, E. (2023). Improved Free Disposal Hull Methodology for China Provinces Effective Social-Economic Development Modeling. In: Agarwal, N., Kleiner, G.B., Sakalauskas, L. (eds) Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies. MSBC 2022. Communications in Computer and Information Science, vol 1717. Springer, Cham. https://doi.org/10.1007/978-3-031-33728-4_8

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  • DOI: https://doi.org/10.1007/978-3-031-33728-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33727-7

  • Online ISBN: 978-3-031-33728-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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