EconPapers    
Economics at your fingertips  
 

Technological catching up and innovation policies in China: What is behind this largely successful story?

Yanfei Li, Qiang Ji () and Dayong Zhang ()

Technological Forecasting and Social Change, 2020, vol. 153, issue C

Abstract: Technological progress is critical for achieving sustainable growth and thus an important issue to study. China has recently emerged as a key power of innovation with both increasing investment in research and clear improvements in research output. The main questions behind these facts are how this country makes such achievements in a short period of time and whether they are sustainable in the future. This paper proposes a new theoretical framework to explain the phenomenally accelerated technological catching-up process of China. Specifically, we set up an inverted S-curve model based on the existing theories. The empirical analyses herein provide clear evidence supporting the proposed theoretical framework. At the aggregate level, an empirical model is developed for the purpose of identifying the main driving forces of the technological progress of China. Based on the theoretical framework and the existing literature, a seven-variable model is used to investigate the contribution of key factors to the innovation outcome of China. At the micro-level, case studies on China General Nuclear (CGN), a leading state-owned nuclear energy company, as well as Huawei, a prominent Chinese private company in the telecommunications industry, provide further insights into what firm-level strategies, in combination with or leveraging state-level policies, enable successful stories in practice.

Keywords: China; Innovation policy; Sustainablity; Technological catching up (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162518319516
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162518319516

DOI: 10.1016/j.techfore.2020.119918

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2021-10-20
Handle: RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162518319516