Abstract: This paper uses the non-radial, variable return to scale Super-SBM model to measure the efficiency of China’s industrial green innovation from 2005 to 2019, and analyzes its temporal and spatial differentiation characteristics using global and local Moran indices, and further explores its dynamic transition type and path. The research results show that the overall green innovation efficiency of China's industry is on a wave-shaped upward trend, but there are large differences in time and space. The provinces with high-high (H-H) agglomeration and low-low (L-L) agglomeration are mostly in the eastward direction. The stepped distribution law of the west gradually decreases; the temporal-spatial transition type exhibits a high degree of spatial stability, and the temporal-spatial evolution has a strong path dependence characteristic. The research conclusions of this paper are helpful to clarify the spatial differentiation characteristics and dynamic evolution laws of my country's industrial green innovation efficiency, and then provide useful enlightenment for the promotion of regional innovation drive and the implementation of green development strategies.

摘要： 文章采用非径向、规模报酬可变的Super-SBM模型对2005-2019年中国工业绿色创新效率进行测度，并运用全局和局部莫兰指数分析了其时空分异特征，同时进一步探究了其动态跃迁类型及路径。研究结果显示：中国工业绿色创新效率总体呈波浪形的上升趋势，但存在较大的时空差异，高-高（H-H）集聚、低-低（L-L）集聚类型的省份居多，并表现出自东向西逐渐递减的阶梯型分布规律；时空跃迁类型表现出高度的空间稳定性，即时空演变具有较强的路径依赖特征。本文的研究结论有助于厘清我国工业绿色创新效率空间分异特征及动态演进规律，进而为推进区域创新驱动与绿色发展战略的实施提供有益启示。