Technology learning and diffusion at the global and local scales: A modeling exercise in the REMIND model

Backwardness advantage and economic growth in the information age: A cross-country empirical study

“…This model supports the backwardness advantage thesis stated by Gerschenkron (1962) and in more contemporary literature on technology spillovers to developing countries (Stephan et al, 2019;Zhang et al, 2020…”

“…It is worthwhile to articulate that the focus of this research also steers clear of the extant contemporary technological forecasting and technological spillovers literature, which has largely been oriented towards, inter alia: issues surrounding business prospects' forecasting (Amankwah-Amoah, Osabutey and Egbetokun, 2018); the effect of technological externalities on small and medium size enterprises (Del Giudice, Scuotto, Garcia-Perez and Petruzzelli, 2019); the relevance of inter-sectoral spillovers in knowledge pertaining to innovations that are technology-oriented (Stephan, Bening, Schmidt, Schwarz and Hoffmann, 2019); technologies in learning and diffusion of knowledge within global and local spheres (Zhang, Bauer, Yin and Xie, 2020); the importance of spillovers in knowledge in the production of sustainable energy (Miremadi, Saboohi and Arasti, 2019); spillovers from technology in patent and trade markets (Cai, Sarpong, Tangand Zhao, 2020) and improving information technology for sustainable and inclusive (Asongu and le Roux, 2017) development outcomes. The positioning of the current research is closest to the last strand of the attendant studies because the focus of the research is on how information technology can enable cross-country catch-up in economic development.…”

Backwardness Advantage and Economic Growth in the Information Age: A Cross-Country Empirical Study

“…It is worthwhile to articulate that the focus of this research also steers clear of the extant contemporary technological forecasting and technological spillovers literature, which has largely been oriented towards, inter alia: issues surrounding business prospects' forecasting (Amankwah-Amoah, Osabutey and Egbetokun, 2018); the effect of technological externalities on small and medium size enterprises (Del Giudice, Scuotto, Garcia-Perez and Petruzzelli, 2019); the relevance of inter-sectoral spillovers in knowledge pertaining to innovations that are technology-oriented (Stephan, Bening, Schmidt, Schwarz and Hoffmann, 2019); technologies in learning and diffusion of knowledge within global and local spheres (Zhang, Bauer, Yin and Xie, 2020); the importance of spillovers in knowledge in the production of sustainable energy (Miremadi, Saboohi and Arasti, 2019); spillovers from technology in patent and trade markets (Cai, Sarpong, Tangand Zhao, 2020) and improving information technology for sustainable and inclusive (Asongu and le Roux, 2017) development outcomes. The positioning of the current research is closest to the last strand of the attendant studies because the focus of the research is on how information technology can enable cross-country catch-up in economic development.…”

Enhancing Information Technology for Value Added Across Economic Sectors in Sub-Saharan Africa

“…between developing and developed countries) is information technology (Abramowitz, 1986;Bernard & Jones, 1996). The attendant neoclassical framework has motivated an evolving strand of technological forecasting and social change literature (Del et al, 2019;Stephan et al, 2019;Zhang et al, 2020;Cai et al, 2020;Miremadi et al, 2019).…”

“…To increase the policy relevance of the study, forecasted thresholds for technology spillovers are also provided. This focus of the study departs from contemporary technological spillovers and forecasting literature which has largely been concerned with inter alia: challenges in forecasting business prospects (Amankwah-Amoah, 2016; Amankwah-Amoah & Sarpong, 2016; Amankwah-Amoah, Osabutey & Egbetokun, 2018); the impact of technological spillovers for small and medium sized corporations (Del Giudice, Scuotto, Garcia-Perez & Petruzzelli, 2019); the importance of inter-sectoral knowledge spillovers in technology-related innovation (Stephan, Bening, Schmidt, Schwarz, & Hoffmann, 2019); learning technology and diffusion at local and global spheres (Zhang, Bauer, Yin & Xie, 2020); technology spillovers from trade and patent markers (Cai, Sarpong, Tang & Zhao, 2020); the influence of knowledge spillovers in sustainable energy production (Miremadi, Saboohi & Arasti, 2019) and enhancing information technology for inclusive development (Asongu & le Roux, 2017) and environmental sustainability (Asongu, le Roux & Biekpe, 2018). The focus of this study is closest to the last strand of technological forecasting and social change literature because it aims to assess how enhancing information technology affects value added across various economic sectors.…”