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Targeting Poverty and Developing Sustainable Development Objectives for the United Nation’s Countries using a Systematic Approach Combining DRSA and Multiple Linear Regressions

Author

Listed:
  • Jean-Charles Marin
  • Bryan B-Trudel
  • Kazimierz Zaras
  • Mamadou Sylla
Abstract
The objectives of this article is to target poverty using Dominance-based Rough Set Approach (DRSA) to help the United Nation’s Countries develop objectives for sustainable development. There are 12 variables divided into 2 perspectives. The first is an economical and technological perspective composed of 6 variables. The second is a sociological and political perspective composed of 6 variables. The methodology proposed classifies all the United Nation’s countries according to three different categories: [A] Developed countries; [B] Emerging economies that need support to acquire category A status; [C] Under Developed countries ranked the lowest and needing special support with regard to the criterion or criteria considered. Using this classification, DRSA provides decision rules to explain the classification and indicating precisely what are the conditions to be part of a higher category. Also, the results indicate what are the conditions to be part of the Under Developed countries category and therefore helps targeting poverty and proposing, at the same time, objectives to improve this classification. Finally, we used Multiple Linear Regressions with selected decision rules to test selected decision rules as the Gross National Income per capita as the dependent variable.

Suggested Citation

  • Jean-Charles Marin & Bryan B-Trudel & Kazimierz Zaras & Mamadou Sylla, 2020. "Targeting Poverty and Developing Sustainable Development Objectives for the United Nation’s Countries using a Systematic Approach Combining DRSA and Multiple Linear Regressions," Bulletin of Applied Economics, Risk Market Journals, vol. 7(2), pages 1-24.
    • Handle: RePEc:rmk:rmkbae:v:7:y:2020:i:2:p:1-24
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    References listed on IDEAS

    as
    1. Institute for Economics and Peace, 2017. "Global Peace Index 2017," Working Papers id:11991, eSocialSciences.
    2. Renaud, J. & Thibault, J. & Lanouette, R. & Kiss, L.N. & Zaras, K. & Fonteix, C., 2007. "Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1418-1432, March.
    3. Zaras, Kazimierz, 2004. "Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems," European Journal of Operational Research, Elsevier, vol. 159(1), pages 196-206, November.
    4. Pawlak, Zdzisaw & Sowinski, Roman, 1994. "Rough set approach to multi-attribute decision analysis," European Journal of Operational Research, Elsevier, vol. 72(3), pages 443-459, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    International development; United Nations States; International aid; Economic growth; Strategic objectives; Sustainable Development.;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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