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A Canonical Correlation Approach In Determining Growth & Development And Social Inclusion Linkages

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In 2017 Inclusive Growth and Development Report published by World Economic Forum, Inclusive Growth and Development Key Performance Indicators have been based upon three dimensions as “Growth and Development (G&D)”, “Inclusion (INC)” and “Intergenerational Equity and Sustainability”. In this study, interrelations between G&D and INC dimensions have been tried to be revealed for totally 91 countries which take place in 2017 Report by carrying out Canonical Correlation Analysis. Standardized canonical coefficients have shown that ‘GDP per Capita’ variable has provided the largest contribution to G&D dimension and ‘Median Household Income’ variable has created the largest effect on INC set when the first canonical correlation is taken into consideration. Based on the communality coefficients, it can be said that ‘Employment’ variable may not represent a strong relationship with INC set. In addition, ‘Net Income Gini’ and ‘Wealth Gini’ variables have been detected not to be associated with G&D set.

Suggested Citation

  • Şanlı, Sera, 2018. "A Canonical Correlation Approach In Determining Growth & Development And Social Inclusion Linkages," Academic Review of Humanities and Social Sciences, Bursa Teknik Üniversitesi, vol. 1(3), pages 130-146.
    • Handle: RePEc:ris:arhuss:0008
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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Robert J. Barro, 1998. "Determinants of Economic Growth: A Cross-Country Empirical Study," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262522543, April.
    3. World Economic Forum, 2017. "The Inclusive Growth and Development Report 2017," Working Papers id:11638, eSocialSciences.
    4. Ngwen Ngangue & Kouty Manfred, 2015. "The Impact of Life Expectancy on Economic Growth in Developing Countries," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(4), pages 653-660, April.
    5. Philippe Aghion & Peter Howitt & Fabrice Murtin, 2011. "The Relationship Between Health and Growth: When Lucas Meets Nelson-Phelps," Review of Economics and Institutions, Università di Perugia, vol. 2(1).
    6. Bloom, David E. & Canning, David & Sevilla, Jaypee, 2004. "The Effect of Health on Economic Growth: A Production Function Approach," World Development, Elsevier, vol. 32(1), pages 1-13, January.
    7. Robyn Swift, 2011. "The relationship between health and GDP in OECD countries in the very long run," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 306-322, March.
    8. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    More about this item

    Keywords

    Canonical Correlation Analysis; Canonical Redundancy Analysis; Communality Coefficient; Inclusive Growth; Social Inclusion;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

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