IDENTIFYING PARTNER COUNTRY’S IN GLOBAL INNOVATION OUTPUT INDEX INDICATORS: A MULTIVARIATE APPROACH

Authors

  • Maria Danesa S. Rabia Bohol Island State University, Calape, BoholPhilippines Author

DOI:

https://doi.org/10.61841/q5mrjd33

Keywords:

Global Innovation Index, Global Economic Freedom, , Factor Analysis, Multiple Regression Analysis

Abstract

One of the significant indicators of the country’s development is having the presence of quality, and innovative outputs come from different sectors. This study examined the recent global innovation output index of 129 countries by employing factor analysis and non-hierarchical cluster analysis to construct factors and identify partners. Resulted to Eight common factors using the factor loadings and scree plot of 35 indicators. The factors differ substantially from the indicators used in previous data and also lead to different rankings of countries. As rankings are not that informative without further information, the distance between each country and the sample mean were considered and analyzed. Differences between countries are much more pronounced for the factors identified in the global innovation index than for individual country indicators. In the non-hierarchical method cluster analysis, the classification of the countries generated seven homogenous groups and was enhanced using multiple regression analysis to identify the predictors of the 2019 Index of Economic Freedom (IEF).

 

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Published

31.10.2020

Issue

Vol. 24 No. 8 (2020): 24 (8) 2020

Section

Articles

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How to Cite

Rabia, M. D. S. (2020). IDENTIFYING PARTNER COUNTRY’S IN GLOBAL INNOVATION OUTPUT INDEX INDICATORS: A MULTIVARIATE APPROACH. International Journal of Psychosocial Rehabilitation, 24(8), 2978-2984. https://doi.org/10.61841/q5mrjd33