Khan, Haider (2023): China’s Augmented National Innovation System (ANIS) and the Future: A Nonlinear Complex Systems Model with Application to Semiconductors and AI.
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Abstract
I present a nonlinear complex dynamic systems model of innovation for China within which both efficiency and equity can be addressed. For the fourth industrial revolution(IR4), digital technologies based on semiconductor material foundation and AI are analyzed for China within such a system which can be called an Augmented National innovation system or ANIS. There are at least two dimensions along which China’s NIS can be augmented. One is to include the AI and semiconductor base for high technology for IR4, and the other is to move towards a more egalitarian innovation system in accordance with the goal of creating a harmonious moderately prosperous economy and society. The Chinese ANIS that is being built for the 21st century has important regional and geoeconomic implications for the future.
Item Type: | MPRA Paper |
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Original Title: | China’s Augmented National Innovation System (ANIS) and the Future: A Nonlinear Complex Systems Model with Application to Semiconductors and AI |
English Title: | China’s Augmented National Innovation System (ANIS) and the Future: A Nonlinear Complex Systems Model with Application to Semiconductors and AI |
Language: | English |
Keywords: | Keywords: China, 4th industrial revolution, Innovation, AI, semiconductors, Geoeconomics,, ANIS, complex dynamic nonlinear model |
Subjects: | F - International Economics > F5 - International Relations, National Security, and International Political Economy > F50 - General O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O53 - Asia including Middle East |
Item ID: | 116836 |
Depositing User: | Haider Khan |
Date Deposited: | 28 Mar 2023 13:18 |
Last Modified: | 28 Mar 2023 13:18 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/116836 |