A Comprehensive Approach to Measuring the Multidimensional Productivity Index: A Reiteration of Global Productivity Convergence
Md Harun Or Rosid, Zhao Xuefeng, Reajmin Sultana, Najmul Hasan
Keywords:
total factor productivity, multidimensional productivity index, global competitive productivity,
productivity convergence
Abstract:
The undeniable significance of production has prompted experts to explore further the
competitive productivity of various nations across the globe. Despite the importance of global
productivity competitiveness, prior studies have not included a comprehensive assessment of the
multidimensional productivity index (MPI). Therefore, this study aims to achieve two objectives.
First, it extends the scope of prior studies by integrating capital as an input alongside labor
and energy consumption, based on 50 factors under 11 indices (including democracy, global
competitiveness, and innovation index). Second, global competitive productivity convergence
is reaffirmed and expanded. This study employed secondary panel data from 2007 to 2018, and
60,000 data points were obtained from 100 nations. The results reveal that the USA is the most
productive country, followed by China, India, and Japan in the context of global competitive
productivity. Regional productivity scores show that Asia has a superior productivity rank
compared to Europe. However, Africa is performing worse than average. Unlike earlier studies,
this study shows that macroeconomic, innovation and infrastructural variables mainly determine
the MPI score. The main finding of this study is that there is no statistically significant difference
in total factor productivity (TFP) among the developed, developing, and least developed
countries. Also, there is no significant influence of regions or alliances on TFP across the
countries, confirming the global convergence in competitive productivity. The novelty of this
study is that certain statistical evidence accurately portrays global competitiveness in terms of
productivity.
Fulltext download:
 A Comprehensive Approach to Measuring the Multidimensional Productivity Index: A Reiteration of Global Productivity Convergence [PDF file] [Filesize: 1.58 MB]
 10.7441/joc.2022.02.08
Rosid, M, H. O., Xuefeng, Z., Sultana, R, & Hasan, N. (2022). A Comprehensive Approach to Measuring
the Multidimensional Productivity Index: A Reiteration of Global Productivity Convergence. Journal of Competitiveness, 14(2), 135–155. https://doi.org/10.7441/joc.2022.02.08
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