期刊
ENERGY POLICY
卷 89, 期 -, 页码 214-223出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2015.11.034
关键词
Energy technology patents; R&D activities; Energy price; Panel cointegration model; China
资金
- Xiamen University - Newcastle University
- Grant for Collaborative Innovation Center for Energy Economics and Energy Policy [1260-Z0210011]
- Xiamen University [1260-Y07200]
- China Sustainable Energy Program [G-1506-23315]
Enhancing energy technology innovation performance, which is widely measured by energy technology patents through energy technology research and development (R&D) activities, is a fundamental way to implement energy conservation and emission abatement. This study analyzes the effects of R&D investment activities, economic growth, and energy price on energy technology patents in 30 provinces of China over the period 1999-2013. Several unit root tests indicate that all the above variables are generated by panel unit root processes, and a panel cointegration model is confirmed among the variables. In order to ensure the consistency of the estimators, the Fully-Modified OLS (FMOLS) method is adopted, and the results indicate that R&D investment activities and economic growth have positive effects on energy technology patents while energy price has a negative effect. However, the panel error correction models indicate that the cointegration relationship helps to promote economic growth, but it reduces R&D investment and energy price in the short term. Therefore, market-oriented measures including financial support and technical transformation policies for the development of low-carbon energy technologies, an effective energy price mechanism, especially the targeted fossil-fuel subsidies and their die away mode are vital in promoting China's energy technology innovation. (C) 2015 Elsevier Ltd. All rights reserved.
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