Zheng, Yuelong, Bai, Chunguang, Wang, Lin, Han, Chunjia, Yang, Mu and Pappu, Anusha (2023) Evolutionary game analysis on the diffusion of general purpose technologies with government multiple supports. Economics of Innovation and New Technology, 33 (3). pp. 436-454. ISSN 1043-8599 (Print), 1476-8364 (Online) (doi:https://doi.org/10.1080/10438599.2023.2196418)

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Abstract

General purpose technologies (GPTs) are seen as engines of economic growth, which is achieved through diffusion in various application sectors. The diffusion of GPTs is the key to unleashing their potential value. However, the market and organisational failure of GPT diffusion are seen as hurdles to realise this potential. To address this issue, a single-group evolutionary game model was established to analyse the GPT diffusion process and its influencing factors and reveal the evolutionary mechanism of GPT diffusion. The main findings of the study show that the GPT diffusion is an evolutionary process influenced by many factors. GPT diffusion is negatively related to adoption and commercial development costs and positively related to the success rate of commercial development. In addition, government support is found to be positive for GPT diffusion, but a disproportionate share of government funding supports dampens the diffusion process. It is also found that government funds, knowledge and technological support are conducive to GPT diffusion. The effect of knowledge and technological support on GPT diffusion is positively regulated by the technology conversion coefficient, but the intellectual property rights system has a negative impact. The study sheds light on strategic choices for the diffusion and supply of GPTs.

Item Type:	Article
Uncontrolled Keywords:	GPTs; R&D process of GPTs; government support;; evolutionary game
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HB Economic Theory T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Business
Last Modified:	30 May 2024 13:32
URI:	http://gala.gre.ac.uk/id/eprint/47142

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