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Influencing factors of energy technical innovation in China: Evidence from fossil energy and renewable energy

机译:中国能源技术创新的影响因素:来自化石能源和可再生能源的证据

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Based on China's provincial panel data from 2001 to 2015, the drivers of energy technological innovation, e.g., energy price, public financial policy, knowledge stocks, energy structure, and environmental regulation, are analyzed by using the generalized method of moment (GMM) in this paper. Through the construction of one kind of geometric distribution lag model, which is also called partial adjustment model, we empirically analyze and compare the influencing factors of energy technological innovation from the perspectives of fossil energy and renewable energy. The specific conclusions obtained in this paper are: (1) The impact of the energy price on fossil energy technological innovation is greater than renewable energy, which means that the current energy price in China is much lower than its optimal level and the development of renewable energy technology needs the support of price mechanism. (2) The development of these two kinds of energy technology innovation heavily relies on governmental policy support. (3) The accumulation of energy technology innovations will be conducive to the vertical spillover effect of knowledge, and further encourage the development of energy technology. Based on the above findings, we then propose some relevant policy proposals to promote energy technological innovation in China. (C) 2019 Published by Elsevier Ltd.
机译:基于2001年至2015年中国省级面板数据,利用广义矩法(GMM)分析了能源价格,公共财政政策,知识存量,能源结构和环境法规等能源技术创新的驱动力。这篇报告。通过建立一种称为部分调整模型的几何分布滞后模型,我们从化石能源和可再生能源的角度对能源技术创新的影响因素进行了实证分析。本文得出的具体结论是:(1)能源价格对化石能源技术创新的影响大于可再生能源,这意味着中国目前的能源价格远低于其最优水平和可再生能源的发展。能源技术需要价格机制的支持。 (2)这两种能源技术创新的发展在很大程度上取决于政府的政策支持。 (3)能源技术创新的积累将有利于知识的垂直溢出效应,并进一步鼓励能源技术的发展。基于以上发现,我们提出了一些相关的政策建议,以促进中国的能源技术创新。 (C)2019由Elsevier Ltd.发布

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