Components of Ease of Doing Business Inferred from Macroeconomic Performance Indicators

Authors

  • Catherine M. Garcia College of Business and Management, Southern Leyte State University Author
  • Dolly E. Hinayon College of Business and Management, Southern Leyte State University Author

DOI:

https://doi.org/10.61569/dk8f7462

Keywords:

Artificial intelligence, Doing business, Multinational companies, Parallel analysis, Principal components analysis, Symbolic regression

Abstract

This study attempts to find a significant relationship between macroeconomic performance and the Ease of Doing Business indicators. The Principal Components Analysis method was utilized to reduce the macroeconomic performance indicators into fewer dimensions for multinational companies to easily refer to in assessing the business environment and economic performance of a country. Results show that the changes in the principal components can explain 73% of the total variations in the Ease of Doing Business (data to frontier) score. Among the four principal components, ‘economic growth’ had the highest positive impact on the ease of doing business. However, an adverse effect is expected when ‘economic growth’ is more than doubled.

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Published

2018-12-28

Issue

Vol. 6 (2018): Journal of Educational and Human Resource Development

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the license is given, and indication of whether changes were made. See: Creative Commons Attributions 4.0 International License.

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