scholarly journals Promote the Energy Revolution by Energy Technology Innovation Revealed by Energy-Brain Model

Author(s):  
Yuan Shun ◽  
Han Jing
2012 ◽  
Vol 37 (1) ◽  
pp. 137-162 ◽  
Author(s):  
Kelly Sims Gallagher ◽  
Arnulf Grübler ◽  
Laura Kuhl ◽  
Gregory Nemet ◽  
Charlie Wilson

Energy Policy ◽  
2014 ◽  
Vol 68 ◽  
pp. 591-602 ◽  
Author(s):  
Mark Winskel ◽  
Jonathan Radcliffe ◽  
Jim Skea ◽  
Xinxin Wang

2020 ◽  
pp. 0958305X2092893
Author(s):  
Bai Liu ◽  
Yutian Liu ◽  
Ailian Zhang

With the depletion of fossil energy and the rise of global temperature, it is urgent to use renewable energy to solve environmental problems. By studying the heterogeneous relationship between CO2 emissions and renewable energy technology innovation in different countries, we can find out the gap and something helpful to energy development. In the empirical test, we use the negative binomial regression model with fixed effects to study the impact of CO2 emissions on renewable energy technology innovation from 1997 to 2016. The research shows that impact is positive in oil-importing countries, but this relationship is not established in oil-exporting countries. In both oil importers and oil exporters, CO2 emissions have a positive effect on the solar energy technological innovation, however, the influence on the technology innovation of solar energy in oil exporters is more significant than that of renewable energy. Whether for oil importers or oil exporters, it can be more reasonable and effective to develop renewable energy by clarifying the impact of CO2 emissions on domestic renewable energy technology innovation.


Author(s):  
Arnulf Grübler ◽  
Charlie Wilson

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