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The Role of Economic and Political Features in Classification of Countries-in-Transition by Human Development Index

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  • Jani KINNUNEN
  • Armenia ANDRONICEANU
  • Irina GEORGESCU

Abstract

Typical classification research of the United Nations’ Human Development Index, HDI, has focused on its direct underlying sub-indices, i.e., Gross National Income, GNI, Education and Health. In this paper, economic and political systems within which the elements of HDI are created are under study. We use Bertelsmann Foundation’s qualitative data from period 2008-2016 on 124 countries-in-transition including features of market economy, democracy and governance. The purpose is to identify the most important economic and political features predicting the level of HDI and to compare the classification performances of the applied models: an artificial neural network, ANN, and a logistic regression. The multi-method approach is complemented by multiple correspondence analysis for descriptive analysis purposes. The main results and original contributions include proving the effectiveness of the ANN over the logistic regression and showing that the higher levels and specific individual factors of marked economy, governance and democracy, the higher the HDI.

Suggested Citation

  • Jani KINNUNEN & Armenia ANDRONICEANU & Irina GEORGESCU, 2019. "The Role of Economic and Political Features in Classification of Countries-in-Transition by Human Development Index," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 23(4), pages 26-40.
    • Handle: RePEc:aes:infoec:v:23:y:2019:i:4:p:26-40
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    1. Nanik ISTIANINGSIH & Ariyanto MASNUN & Widya PRATIWI, 2020. "Managerial Performance Models Through Decision Making And Emotional Intelligence In Public Sector," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(35), pages 153-166, December.
    2. Ane-Mari ANDRONICEANU & Jani KINNUNEN & Irina GEORGESCU, 2021. "Entrepreneurial Motivations To Start New Businesses: A Panel Data Analysis," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 479-491, November.
    3. Irina GEORGESCU & Ane-Mari ANDRONICEANU & Jani KINNUNEN, 2020. "A Discriminant Analysis To The Quantification Of Human Development Index Under Economic Inequality," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 1053-1062, November.
    4. Iryna TKACHUK & Olena VINNYCHUK, 2020. "Impact Of Specific Macroeconomic Indicators On The Formation Of Revenues Of Non-Governmental Organizations From Personal Contributions Of The Ukrainian Population," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(34), pages 64-77, June.
    5. Jani KINNUNEN & Irina GEORGESCU & Ane-Mari ANDRONICEANU, 2020. "Evaluating Governmental Responses To Covid-19 And The Implications For Tourism Industry," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 585-594, November.
    6. Anna BAGIROVA & Olga NOTMAN, 2020. "The Well-Being Of Residents In An Urban Environment: The Case Of A Russian Megapolis," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(35), pages 124-138, December.
    7. Agus SUBIANTO & H. MASHOED & Hari SUBAGIO & M. Yunus HARYADI, 2020. "Regional Intergovernmental Cooperation In Marine Natural Resources Policy In Indonesia," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(34), pages 97-117, June.
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