科技创新对区域碳排放的影响:基于面板分位数和中介效应模型的实证分析

    Impact of scientific and technological innovation on regional carbon emissions: an empirical analysis based on panel quantile and mediation effect models

    • 摘要: 科技创新作为中国实现碳中和目标的关键驱动力,对低碳经济的可持续发展具有重要意义。为了探究科技创新对碳排放的潜在影响,本文测算了中国各省份2002—2019年综合科技创新水平,在此基础上,运用面板分位数模型分析了综合科技创新及不同类型科技创新主体(工业企业、高等院校和科研机构)对区域碳排放影响的异质性特征;同时,使用中介效应模型识别了科技创新对碳排放的间接性影响。研究结果表明:科技创新对碳排放的影响呈现倒U型结构且具有显著的抑制作用,工业企业和高等院校科技创新对75%分位数的碳排放抑制作用最强,科研机构科技创新对50%分位数的碳排放抑制作用最强。科技创新能够通过对城市化率、经济增长、工业污染治理投资以及能源工业固定资产投资的影响间接促进碳排放;然而,通过影响产业结构变化的方式,科技创新能够间接抑制碳排放。同时,不同类型的科技创新对碳排放的影响效应具有差异性。这些发现将为科技创新的低碳发展提供更为广泛的见解。

       

      Abstract: Scientific and technological innovation is essential for the sustainable development of a low-carbon economy. To explore the potential impact of scientific and technological innovation on carbon emissions, measures the comprehensive scientific and technological innovation level of each province in China from 2002 to 2019. On this basis, the panel quantile model is used to analyze the heterogeneity characteristics of the impact of comprehensive scientific and technological innovation and different types of scientific and technological innovation entities(industry enterprises, universities, and scientific research institutions) on regional carbon emissions. At the same time, a mediation effect model is used to identify the indirect impact of scientific and technological innovation on carbon emissions. The results show that the impact of scientific and technological innovation on carbon emissions presents an inverted U-shaped structure and has a significant inhibitory effect. The scientific and technological innovation of industry enterprises and universities has the most potent inhibitory effect on carbon emissions in the 75% quantile, and the scientific and technological innovation of scientific research institutions has the most potent inhibitory effect on carbon emissions in the 50% quantile. Scientific and technological innovation can indirectly promote carbon emissions through the urbanization rate, economic growth, investment in industrial pollution control, and investment in fixed assets in the energy industry. However, it can indirectly suppress carbon emissions by adjusting the industrial structure. Moreover, the impact of scientific and technological innovation in different types on carbon emissions are different. These findings will provide broader insights into the low-carbon development of scientific and technological innovation.

       

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