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1 September 2018 Regional Green Innovation Efficiency in High-End Manufacturing
Luochen Li, Liang Lei, Dongri Han
Author Affiliations +
Abstract

Li, L.; Lei, L., and Han, D., 2018. Regional green innovation efficiency in high-end manufacturing. In: Ashraf, M.A. and Chowdhury, A.J.K. (eds.), Coastal Ecosystem Responses to Human and Climatic Changes throughout Asia.

Using regional panel data of the high-end manufacturing industry in China from 2011 to 2015, the authors use projection tracking and a stochastic frontier model to analyze regional green innovation efficiency and influencing factors. Research shows that the innovation efficiency national average in high-end manufacturing is between 0.7 and 0.8 and that regional green innovation efficiency is polarized, presenting as high in the east and low in the west. Both of these measures illustrate some room for green innovation improvement. The number of research and development institutions and industry agglomeration have a significant positive influence on green innovation, while government funding plays a supporting role. Environmental regulation, market maturity, and degree of openness to the outside world have some negative effects on green innovation, with environmental regulation having significant effects. This paper provides evidence for the improvement of green innovation efficiency in the high-end manufacturing industry in China.

©Coastal Education and Research Foundation, Inc. 2018
Luochen Li, Liang Lei, and Dongri Han "Regional Green Innovation Efficiency in High-End Manufacturing," Journal of Coastal Research 82(sp1), 280-287, (1 September 2018). https://doi.org/10.2112/SI82-040.1
Received: 30 September 2017; Accepted: 31 December 2017; Published: 1 September 2018
KEYWORDS
Efficiency
green innovation
High end manufacturing
projection tracking
stochastic frontier
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