Volume 13: Proceedings Applied Energy Symposium: CUE2020, Part 2, Japan/Virtual, 2020

Inequality of renewable energy technology innovation in China Ge ZHAO, Peng ZHOU


This paper focuses on the major driving forces of the inequality in renewable energy technology innovation. We employ Gini coefficient and Shapley decomposition with semi-log regression model to examine the inequality in renewable energy technology innovation and contribution level of major driving factors in China during 2008-2017. The results show that the Gini coefficient of technology innovation with ultimately around 0.53 is obviously imbalanced in China, yet the unequal distribution display a decrease trend. The factors including R

Keywords Renewable energy, Technology innovation, Gini coefficient, Inequality, Decomposition

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