This study attempts to expand the work on patenting activities of China. The characteristics of foreign multinationals and indigenous entities’ patenting activities in the US patent system are examined in our analysis. This study also attempts to model the diffusion trajectories of patenting activities that result from the functioning of two competing innovation system models adopted by China-FDI and indigenous—to compare the extent of divergence of technological innovations. The findings are useful for highlighting the path of technological innovations and understanding the dynamic potentials through analysis of the growth process. While the results suggest a dominance of foreign firms in patenting activities since the early 2000s, there is a sign of transition from industrial-based to knowledge-driven activities and the formation of evolving propagating behaviour in the production of indigenous technology.
Many emerging countries in Asia demonstrate a strong pattern of growth and potential of diffusion in science and technology that is dynamic and self-propagating. To elucidate the evolution in science and technology and the institutional dynamics that drive the self-propagating behavior, this paper examines the divergent models pursued by selected Asian economies in regard to science and technological catch-up. An analysis of papers and patents production for each nation was conducted to examine the indigenous science and technology capabilities. This study focuses on six major economies, namely China, Malaysia, South Korea, Singapore, Taiwan and Thailand. In addition, Japan, a country with advanced development of science and technology, is included for comparison. The findings provided insight and understanding of evolving science and technological waves and the dynamic potentials in science and technology. We demonstrate the pursued catching-up models that drive the self-propagating behavior and industrialization, thus providing a more complete understanding of the innovation systems than those examined in previous studies.
Through theoretical analysis and empirical demonstration, this paper attempts to model the behavior of science and technology
by investigating the self-propagating behavior of their diffusion for South Korea, Malaysia and Japan. The dynamics of the
self-propagating behavior were examined using the logistic growth function within a dynamic carrying capacity, while allowing
for different effectiveness of potential influence of science and technology producers on potential adopters. Evidence suggests
that the self-propagating growth function is particularly relevant for countries with advanced science and technology, like
Japan. While self-propagating growth was also found for South Korea, the diffusion process remained fairly static for Malaysia.