Institute of Central China Development, Wuhan University, Wuhan 430072, China.
School of Economics and Management, Nanyang Institute of Technology, Nanyang 473000, China.
Int J Environ Res Public Health. 2020 Sep 18;17(18):6826. doi: 10.3390/ijerph17186826.
Innovation is an important motivating force for regional sustainable development. This study measures the innovation efficiency of 280 cities in China from 2014-2018 using the super-efficiency slack-based measure and it also analyzes its impact on the ecological footprint using the generalized spatial two-stage least squares (GS2SLS) method and uses the threshold regression model to explore the threshold effect of innovation efficiency on the ecological footprint at different economic development levels. We find the corresponding transmission mechanism by using a mediating effect model. The major findings are as follows. First, we find an inverse U-shaped relationship between innovation efficiency and the ecological footprint for cities across China as well as in the eastern and central regions. That is, innovation efficiency promotes then suppresses the ecological footprint. Conversely, in western and northeastern China, improvements in innovation efficiency still raise the ecological footprint. Second, for the entire country, as economic development increases from below one threshold value (4.4928) to above another (4.8245), the elasticity coefficient of innovation efficiency to the ecological footprint changes from -0.0067 to -0.0313. This indicates that the ability of innovation efficiency improvements to reduce the ecological footprint is gradually enhanced with increased economic development. Finally, the industrial structure, the energy structure, and energy efficiency mediate the impacts of innovation efficiency on the ecological footprint.
创新是区域可持续发展的重要推动力。本研究采用超效率松弛测度法,测算了 2014-2018 年中国 280 个城市的创新效率,并利用广义空间两阶段最小二乘法(GS2SLS)方法分析了其对生态足迹的影响,利用门槛回归模型探讨了创新效率对不同经济发展水平下生态足迹的门槛效应。通过中介效应模型,我们找到了相应的传递机制。主要发现如下:第一,我们发现中国各城市以及东部和中部地区的创新效率与生态足迹之间存在倒“U”型关系。也就是说,创新效率促进了生态足迹,然后又抑制了生态足迹。相反,在西部和东北地区,创新效率的提高仍会导致生态足迹增加。第二,对于全国而言,随着经济发展从一个阈值(4.4928)以下增加到另一个阈值(4.8245)以上,创新效率对生态足迹的弹性系数从-0.0067 变为-0.0313。这表明,随着经济发展水平的提高,创新效率提高对减少生态足迹的能力逐渐增强。最后,产业结构、能源结构和能源效率调节了创新效率对生态足迹的影响。