空间效应下异质性低碳技术创新的碳减排效果研究

Research on Carbon Emission Reduction Effect of Heterogeneous Low-Carbon Technology Innovation under Space Effect

摘要: 低碳技术创新被认为是应对气候变化问题的最重要途径之一，而探究不同类型低碳技术创新对碳排放的影响差异十分必要。本文将低碳技术创新区分为清洁与灰色技术创新，利用2004~2015年中国30个省的面板数据，采用SDM模型实证分析两类技术创新对碳排放影响的空间效应。研究发现：中国低碳技术创新与碳排放在空间分布上具有一定的集聚性；总体而言，低碳技术创新显著抑制本地区碳排放，但并未影响到邻近地区；不同类型技术的作用呈现出差异，清洁技术无论对本地还是邻近地区的碳排放都显示出显著抑制效果，但灰色技术对碳排放的抑制作用仅限于本地。这就要求大力推进零碳生产或消费的清洁低碳技术创新；同时，既应协同不同类型创新活动，又要协同不同区域低碳治理。

Abstract: Technological innovation is considered to be one of the most important ways to address climate change, and it is necessary to explore the different impacts of different types of low-carbon tech-nological innovation on carbon emissions. Using panel data from 30 provinces in China from 2004 to 2015, this paper uses SDM model to analyze the spatial effects of clean low-carbon technology innovation and gray low-carbon technology innovation on carbon emissions. It is found that low-carbon technology innovation and carbon emissions in China have a certain degree of con-centration in the spatial distribution. Overall, low-carbon technology innovation significantly in-hibited carbon emissions in the region, but did not affect neighboring regions. The role of different types of technology is different. Clean technologies have shown significant inhibitory effects on carbon emissions both locally and in neighboring regions, but gray technologies have limited their inhibitory effects on carbon emissions. This requires significant advances in clean technology in-novation for zero-carbon production or consumption. At the same time, different types of innovation activities should be coordinated, as well as low-carbon governance in different regions.