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The study re-examines convergence among Indian states by estimating their total factor productivity (TFP) for the period 1990/91–2018/19. The novelty of the study is the decomposition of TFP change into efficiency change and technological change using the Malmquist index in a spatial dependence framework to test convergence. Findings reveal that, on average, productivity increased at an aggregate level for the entire period on account of the impressive growth of technological innovation. However, technological growth convergence could not lead to productivity growth convergence in the second sub-period because of no convergence in efficiency growth. Alongside, while we witness significant spatial spillovers in both technology and efficiency, convergence was observed only with respect to technology growth in the second sub-period. The congruence of technological convergence and significant spatial spillovers indicates that while states may be converging in technology, they do not do so independently but display movements similar to their regional neighbours. [ABSTRACT FROM AUTHOR]

The paper is mainly aimed at identifying the sources of total factor productivity (TFP) growth within the framework of convergence for the Republic of Srpska (RSRP). The main research question is what it is that drives technological progress for a small transition country. The current study focuses on the RSRP, as the follower, and the Republic of Serbia (RSRB), as the technological leader. The analysis carried out in this research study confirms the presence of convergence at the industry level, which means that the farther away from the technological frontier a country is, the higher the TFP growth rate. The research results enable policymakers to design and implement policies capable of enhancing domestic development and increase productivity growth.

The present study examines how policy makers should consider the quality of institutional framework to reduce the productivity gap and increase a country's ability to absorb superior technologies developed elsewhere. This paper analyzes the impact of components of economic freedom, such as the size of government, regulation, and freedom to trade internationally, and world government indicators, such as political stability and absence of violence/terrorism, regulatory quality, and control of corruption on the productivity gap between the "Old" and "New" Europe countries. This is among the first studies to investigate, in a sample of former socialistic countries, the impact of institutions on a country's ability to adopt superior technology developed elsewhere. A static panel analysis was applied on cross-sectional data from the eleven EU countries. The results strongly support the productivity convergence between the "Old" and "New" Europe countries, with a positive impact of the institutions on the productivity growth. However, the impact of the institutions fades the further the country is from the frontier. [ABSTRACT FROM AUTHOR]

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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.

Copyright of Australian Journal of Agricultural & Resource Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present study examines how policy makers should consider the quality of institutional framework to reduce the productivity gap and increase a country’s ability to absorb superior technologies developed elsewhere. This paper analyzes the impact of components of economic freedom, such as the size of government, regulation, and freedom to trade internationally, and world government indicators, such as political stability and absence of violence/terrorism, regulatory quality, and control of corruption on the productivity gap between the “Old” and “New” Europe countries. This is among the first studies to investigate, in a sample of former socialistic countries, the impact of institutions on a country’s ability to adopt superior technology developed elsewhere. A static panel analysis was applied on cross-sectional data from the eleven EU countries. The results strongly support the productivity convergence between the “Old” and “New” Europe countries, with a positive impact of the institutions on the productivity growth. However, the impact of the institutions fades the further the country is from the frontier.

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. [ABSTRACT FROM AUTHOR]