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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:基于大规模省级小组数据的环境规则,技术创新与能源的动态关系

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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年在中国的大型省级小组数据,本文采用了指导的无循环图(DAG)和结构向量自动抗弯(SVAR)来研究环境规则,技术创新和能源效率的内部动态关系。 DAG分析的结果证实了环境规则,技术创新和能效的三种行为的存在。首先,市场激励环境监管直接促进能效。其次,市场激励环境监管通过技术创新推动了能源效率。第三,指挥控制环境监管直接有助于能效。基于SVAR模型的预测误差方差分解的结果证实了指挥控制环境监管和市场激励环境监管对能效的影响,短期内没有明显的差异。此外,随着预测期的延伸,指挥控制环境规律对能效的促进效果逐渐减少,而市场激励环境监管的促进效应逐渐增加。技术创新在短期和长期内促进能源效率方面具有重要作用。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监管的影响,而指挥控制环境监管对技术创新没有明显影响。

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