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Neighborhoods in Development: Human Development Index and Self-organizing Maps

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  • Sevinc Rende
  • Murat Donduran

Abstract

The Human Development Index (HDI) has been instrumental in broadening the discussion of economic development beyond money-metric progress, in particular, by ranking a country against other countries in terms of the well being of their citizens. We propose self-organizing maps to explore similarities among countries using the components of the HDI rather than rankings. The similarities approach using the HDI components reveals information which is not available from ranking or bilateral comparisons. By illustrating clusters of countries, which we call “neighborhoods in development”, self-organizing maps draw out the potential for mutual policy learning among countries and shift the focus to discovering what kind of policies might have led countries change their position in the rankings. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Sevinc Rende & Murat Donduran, 2013. "Neighborhoods in Development: Human Development Index and Self-organizing Maps," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 721-734, January.
    • Handle: RePEc:spr:soinre:v:110:y:2013:i:2:p:721-734
    DOI: 10.1007/s11205-011-9955-x
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    Cited by:

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    2. Jadvyga Ciburiene, 2016. "The Evaluation Of Economic Development Index Of Poland And Lithuania In The Context Of The European Union," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(3), pages 437-449, September.
    3. Débora Pereira & Caroline Mota, 2016. "Human Development Index Based on ELECTRE TRI-C Multicriteria Method: An Application in the City of Recife," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 19-45, January.
    4. Elisabete Nogueira & Sofia Gomes & João M. Lopes, 2022. "The Key to Sustainable Economic Development: A Triple Bottom Line Approach," Resources, MDPI, vol. 11(5), pages 1-18, May.
    5. Félix J. López-Iturriaga & Iván Pastor Sanz, 2018. "Predicting Public Corruption with Neural Networks: An Analysis of Spanish Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 975-998, December.
    6. Antonio Sianes & Manuel Dorado-Moreno & César Hervás-Martínez, 2014. "Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 47-65, March.
    7. Gonca Oguz Gok & Mehmet Sahin Gok, 2016. "Emerging Economies: Comparative Analysis of MIST and IBSA Countries," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 4(2), pages 1-13.
    8. Albino Prada & Patricio Sánchez-Fernández, 2019. "Transforming Economic Growth into Inclusive Development: An International Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 437-457, August.

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