Can resource endowment and industrial structure drive green innovation efficiency in the context of COP 26？

Abstract

COP26 pointed out that in order to cope with climate change, promote world economic recovery and achieve sustainable economic development, it needs to accelerate green transformation development, and enhance green innovation efficiency (GIE) has become the focus of attention of global countries. The study uses 30 regions as objects, selects data from 2008 to 2021, and uses the super-efficient SBM model to measure regional GIE, then spatial econometric model is constructed to study industrial structure and resource endowment impact on GIE, and draws the following conclusions: (1) China's overall GIE maintains an upward trend, but GIE is lower, and regional differences are large, with eastern highest and western lowest. (2) The rationalization of industrial structure has a suppressive effect on the GIE of both the region and the neighboring regions. The advanced industrial structure not only promotes the GIE of the region, but also allows the GIE of the neighboring regions to be enhanced. (3) Resource endowment inhibits GIE. The improvement of resource endowment in the region not only fails to help GIE in the region, but also is not conducive to promoting GIE in the associated regions. (4) Openness can promote GIE in the region and neighboring regions. The coefficient of indirect effect of GDP per capita is negative and the direct effect is positive, and the direct effect is greater than the indirect effect. Financial development does not reflect the promotion effect of GIE in the region and surrounding areas. There is no spatial spillover effect of R&D investment on GIE in the region and surrounding areas. The research in this paper has important reference value for improving the efficiency of regional green innovation in China.