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Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China

机译:基于中国大型省级面板数据的环境规制,技术创新与能源效率之间的动态关系

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摘要

Based on the large scale provincial panel data on in China from 2006 to 2015, this paper uses the directed acyclic graph (DAG) and structure vector autoregrression (SVAR) to study the internal dynamic relationship among the environmental regulation, technological innovation and energy efficiency. The results of the DAG analysis confirm the existence of three conduct paths among environmental regulation, technological innovation and energy efficiency. First, the market incentive environmental regulation contributes directly to energy efficiency. Second, the market incentive environmental regulation drives the energy efficiency through technological innovation. Third, the command control environmental regulation contributes directly to energy efficiency. The results of forecast error variance decomposition based on SVAR model corroborate the view that the impacts of the command control environmental regulation and market incentive environmental regulation on energy efficiency have no obvious difference in the short term. In addition, with the extension of the forecast period, the promotion effect of the command control environmental regulation on energy efficiency gradually decreases, whereas the promotion effect of the market incentive environmental regulation on energy efficiency gradually increases. Technological innovation has a significant role in promoting energy efficiency both in the short and the long term. The changes in technological innovation are affected not only by itself, but also by the market incentive environmental regulation, whereas the command control environmental regulation has no obvious impact on technological innovation.
机译:基于2006年至2015年中国省级大型面板数据,本文采用有向无环图(DAG)和结构向量自重(SVAR)研究环境规制,技术创新和能源效率之间的内部动态关系。 DAG分析的结果证实了环境监管,技术创新和能源效率之间存在三个行为路径。首先,市场激励环境监管直接有助于提高能源效率。其次,市场激励环境法规通过技术创新来驱动能源效率。第三,指挥控制环境法规直接有助于提高能源效率。基于SVAR模型的预测误差方差分解结果证实了以下观点:指挥控制环境规制和市场激励环境规制对能源效率的影响在短期内无明显差异。另外,随着预测期的延长,指挥控制环境法规对能效的促进作用逐渐减弱,而市场激励环境法规对能效的促进作用逐渐增强。技术创新在短期和长期内在提高能源效率方面都具有重要作用。技术创新的变化不仅受到自身的影响,而且还受到市场激励环境法规的影响,而命令控制环境法规对技术创新没有明显的影响。

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