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A New Multidimensional Measure of Development: The Role of Technology and Institutions

Author

Listed:
  • K. Renuka Ganegodage

    (The University of Queensland)

  • Alicia N. Rambaldi

    (The University of Queensland)

  • D. S. Prasada Rao

    (The University of Queensland)

  • Kam K. Tang

    (The University of Queensland)

Abstract

This paper constructs four structural indices by using 42 socioeconomic variables for 129 countries and the 10 years period from 2003 to 2012. Each structural index can be considered as a measure of a certain dimension of development. The first two indices are the most useful in explaining gaps in development across countries. The first captures the role of technology and institutional quality while the second provides a measure of the basic level of development. The contrast between them signifies that the notion of development is not only multidimensional, but also changing with the stage of development. These two indices are combined to form a development index (DI). A comparison of DI to income per capita and the Human Development Index highlights the importance of institutions in the transition of countries from merely having high income to full development. A methodological contribution of the paper is to use a Jackknife approach within the factor analysis routine to test for the significance of the extracted factors/indices.

Suggested Citation

  • K. Renuka Ganegodage & Alicia N. Rambaldi & D. S. Prasada Rao & Kam K. Tang, 2017. "A New Multidimensional Measure of Development: The Role of Technology and Institutions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 65-92, March.
  • Handle: RePEc:spr:soinre:v:131:y:2017:i:1:d:10.1007_s11205-015-1139-7
    DOI: 10.1007/s11205-015-1139-7
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    1. Ricardo J Caballero & Kevin Cowan & Jonathan Kearns, 2004. "Fear of Sudden Stops: Lessons from Australia and Chile," RBA Research Discussion Papers rdp2004-03, Reserve Bank of Australia.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Hideyuki Mizobuchi, 2014. "Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(3), pages 987-1007, September.
    4. Massell, Benton F, 1970. "Export Instability and Economic Structure," American Economic Review, American Economic Association, vol. 60(4), pages 618-630, September.
    5. Sabina Alkire & Maria Santos, 2013. "A Multidimensional Approach: Poverty Measurement & Beyond," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 239-257, June.
    6. Echevarria, Cristina, 1997. "Changes in Sectoral Composition Associated with Economic Growth," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(2), pages 431-452, May.
    7. Ricardo Caballero & Kevin Cowan & Jonathan Kearns, 2005. "Fear of Sudden Stops: Lessons From Australia and Chile," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 8(4), pages 313-354.
    8. K. Jöreskog, 1969. "Efficient estimation in image factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(1), pages 51-75, March.
    9. Milorad Kovacevic & Clara García Aguña, 2010. "Uncertainty and Sensitivity Analysis of the Human Development Index," Human Development Research Papers (2009 to present) HDRP-2010-47, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    10. Justin Yifu Lin, 2012. "New Structural Economics : A Framework for Rethinking Development and Policy," World Bank Publications - Books, The World Bank Group, number 2232, December.
    11. Kuznets, Simon, 1951. "The State as a Unit in Study of Economic Growth," The Journal of Economic History, Cambridge University Press, vol. 11(1), pages 25-41, January.
    12. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    13. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    14. Syrquin, Moshe, 1988. "Patterns of structural change," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 7, pages 203-273, Elsevier.
    15. World Bank, 2014. "World Development Indicators 2014," World Bank Publications - Books, The World Bank Group, number 18237, December.
    16. Hollis Chenery† & T.N. Srinivasan (ed.), 1988. "Handbook of Development Economics," Handbook of Development Economics, Elsevier, edition 1, volume 1, number 1.
    17. Frederik Booysen, 2002. "An Overview and Evaluation of Composite Indices of Development," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 59(2), pages 115-151, August.
    18. R. Jennrich & D. Clarkson, 1980. "A feasible method for standard errors of estimate in maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 45(2), pages 237-247, June.
    19. Rita Silva & Alexandra Ferreira-Lopes, 2014. "A Regional Development Index for Portugal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(3), pages 1055-1085, September.
    20. Miles Cahill, 2001. "An Economic and Social Development Index," Working Papers 0101, College of the Holy Cross, Department of Economics.
    21. Hallin, Marc & Liska, Roman, 2007. "Determining the Number of Factors in the General Dynamic Factor Model," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 603-617, June.
    22. Prebisch, Raúl, 1950. "The economic development of Latin America and its principal problems," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    23. Mark Rogers, 2003. "A Survey of Economic Growth," The Economic Record, The Economic Society of Australia, vol. 79(244), pages 112-135, March.
    24. Milorad Kovacevic, 2010. "Review of HDI Critiques and Potential Improvements," Human Development Research Papers (2009 to present) HDRP-2010-33, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    25. Salas-Bourgoin, María Andreina, 2014. "A proposal for a modified Human Development Index," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    26. David N. Weil & Oded Galor, 2000. "Population, Technology, and Growth: From Malthusian Stagnation to the Demographic Transition and Beyond," American Economic Review, American Economic Association, vol. 90(4), pages 806-828, September.
    27. Robert Jennrich, 1973. "Standard errors for obliquely rotated factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 38(4), pages 593-604, December.
    28. Claude Archer & Robert Jennrich, 1973. "Standard errors for rotated factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 38(4), pages 581-592, December.
    29. Denison, Edward F, 1980. "The Contribution of Capital to Economic Growth," American Economic Review, American Economic Association, vol. 70(2), pages 220-224, May.
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    More about this item

    Keywords

    Development index; Institutions; Factor analysis; Standard errors; Real income; HDI;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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