"双碳"目标下黄河流域绿色技术创新效率评价及影响因素OACHSSCDCSTPCD

Based on the perspective of the carbon peaking and carbon neutrality goals,the super-efficiency dynamic network SBM model was used to measure the comprehensive efficiency,technological research and development efficiency,and achievement transformation efficiency of green technology innovation in 82 cities(leagues)in the Yellow River Basin from 2011 to 2021,and a panel Tobit regression model was used to test the impact of external environmental factors on the three efficiencies.The results show that:After incorporating CO2 emissions into the index system,the comprehensive efficiency of green technology innovation in the middle and lower reaches of the Yellow River Basin has been improved,while the efficiency in the upper reaches has declined;The comprehensive efficiency of green technology innovation in the Yellow River Basin shows a fluctuating upward trend,and technological research and development efficiency plays a driving role;The regional differences in the comprehensive efficiency of green technology innovation in the Yellow River Basin are significant,and the difference in achievement transformation efficiency is the main source of comprehensive efficiency differences;The effects of economic development level,industrial structure upgrading,human capital endowment,level of openness,the extent of government support,and environmental regulation intensity on the three efficiencies have regional heterogeneity.It is recommended that the Yellow River Basin improve its green technology innovation capabilities,improve the innovation achievement transformation platform,and promote energy and industrial structure upgrading.