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on Information and Communication Technologies |
| By: | Damioli, Giacomo (ISER, University of Essex); Van Roy, Vincent (European Commission, Joint Research Centre); Vertesy, Daniel (European Commission, Joint Research Centre); Vivarelli, Marco (Università Cattolica del Sacro Cuore) |
| Abstract: | Artificial intelligence (AI) is emerging as a transformative innovation with the potential to drive significant economic growth and productivity gains. This study examines whether AI is initiating a technological revolution, signifying a new technological paradigm, using the perspective of evolutionary neo-Schumpeterian economics. Using a global dataset combining information on AI patenting activities and their applicants between 2000 and 2016, our analysis reveals that AI patenting has accelerated and substantially evolved in terms of its pervasiveness, with AI innovators shifting from the ICT core industries to non-ICT service industries over the investigated period. Moreover, there has been a decrease in concentration of innovation activities and a reshuffling in the innovative hierarchies, with innovative entries and young and smaller applicants driving this change. Finally, we find that AI technologies play a role in generating and accelerating further innovations (so revealing to be "enabling technologies", a distinctive feature of GPTs). All these features have characterised the emergence of major technological paradigms in the past and suggest that AI technologies may indeed generate a paradigmatic shift. |
| Keywords: | Artificial Intelligence, technological paradigm, structural change, patents |
| JEL: | O31 O33 |
| Date: | 2024–07 |
| URL: | https://d.repec.org/n?u=RePEc:iza:izadps:dp17183 |
| By: | Musakwa, M.T; Odhiambo, N.M |
| Abstract: | This study examined the causal relationship between ICT, income inequality and economic growth in South Africa using data from 1990 to 2021. Three measures of ICT were used in the study, namely fixed telephone lines subscription, mobile cellular subscriptions and the proportion of people using the internet to the total population. Employing the autoregressive distributed lag approach, the study found a unidirectional causal flow from income inequality to ICT across all measures of ICT employed. Another unidirectional causal flow from economic growth to ICT was found in the short run when ICT was measured by fixed telephone lines and mobile cellular. When internet access was used as a measure of ICT, a bidirectional causality between internet access and economic growth in the short run and a unidirectional causal flow from internet access to economic growth was confirmed. Across all three measures of ICT, no causal relationship was confirmed between economic growth and income inequality. The study points to the importance of economic growth in increasing ICT access and the crucial role that internet access has on economic growth in South Africa. Policy implications are discussed. |
| Keywords: | South Africa, inequality, information and technology (ICT), economic growth, autoregressive distributed lag |
| Date: | 2024–03 |
| URL: | https://d.repec.org/n?u=RePEc:uza:wpaper:31545 |
| By: | Boukezata Salim (UMBB - Université M'Hamed Bougara Boumerdes) |
| Abstract: | The main purpose of this article is to examine the effect of Information Communication Technology (ICT), market size and trade openness on Foreign Direct Investment (FDI) for the panel of 21 countries of the Organization of Islamic Cooperation (OIC), over the period 1998-2021, using the panel Vector Error Correction Models (panel VECM). overall, we find a strong evidence supporting the view that ICT, market size and trade openness effects FDI in OIC members countries in the long-term. however, in the short-term ICT, market size and trade openness haven't a significant effect on FDI inflows. |
| Keywords: | ICT FDI VECM trade openness market size OIC countries. JEL Classification Codes: D83 F13 F14 F21 G11 P45, ICT, FDI, VECM, trade openness, market size, OIC countries. JEL Classification Codes: D83, F13, F14, F21, G11, P45 |
| Date: | 2024–06–30 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04678750 |