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AbstractThis article investigates the nonlinear relationship between corruption, imported innovation (imports of high technology), and economic growth in developing countries from 2009 to 2018. We used a sample of 38 countries divided into two subsamples. The first covers 21 African countries, and the second covers 17 non‐African countries. The empirical results from the panel smooth transition regression model indicate that there is a threshold effect in the two relationships: corruption–imported innovation and corruption–growth. Specifically, we found that corruption exerts a significant effect only for non‐African countries. However, no significant effect was found for the whole sample and African countries. Furthermore, we found that below certain thresholds, corruption significantly decreases the level of growth for both the whole sample and the two subsamples. Above these thresholds, the effect of corruption becomes positive and significant.

AbstractThe purpose of this study is to determine if financial inclusion in low-, lower-middle-, and upper-middle-income nations promotes human development. Our aim was accomplished by employing an empirical technique of using the System Generalized Method of Moments (SGMM) and dynamic threshold panel (DTP) data on a sample of 79 nations between 2000 and 2017. Three sub-samples representing low-, lower-, and upper-middle-income nations were created from the entire sample. In general, lower- and upper-middle-income nations' human development is positively impacted by financial inclusion, according to SGMM empirical studies. Furthermore, the DTP method's results show that there is a threshold impact for both human development and financial inclusion. The degree of human development in upper-middle-income and lower-middle-income countries is greatly raised by financial inclusion, whether the threshold is met or beyond.

AbstractThis study examines the relationship between innovation and economic growth. More precisely, it seeks to check whether African countries should choose to innovate locally by investing in research and development (R&D) instead of importing innovative technology. To achieve this goal, we used a sample of 21 African countries from 2009 to 2018. Results of the seemingly unrelated regression (SUR) model indicate that GDP growth does not respond to local innovation in African countries. However, we found that imported innovation is positively and significantly correlated with GDP growth. Findings also indicate that domestic investment, trade openness, and infrastructure substantially stimulate growth in African countries. Nevertheless, inflation negatively impacts economic growth when innovation is imported.