Industry has long relied on the economic growth model of high pollution and high energy consumption,resulting in a slowdown in economic growth and a decline in environmental quality,seriously affecting sustainable economic and social development.As the carrying capacity of the environment reaches its limit,the Chinese government attaches great importance to clean technology innovation and continuously improves the level of environmental regulation.So,will clean technology innovation under environmental regulation constraints have a spatial effect on industrial green total factor productivity? Does the impact of clean technology innovation on industrial green total factor productivity have a threshold effect of environmental regulation? Clarifying the above issues will help deepen the understanding of the relationship between clean technology innovation,environmental regulation and industrial green total factor productivity,and provide useful enlightenment for accelerating the green and low-carbon transformation of industry.Focusing on the impact of clean technology innovation on industrial green total factor productivity under environmental regulation constraints,this study uses the SBM-ML index model to measure the industrial green total factor productivity of 30 provinces and cities in China(except Tibet,Hong Kong,Macao and Taiwan)on the basis of combing and summarizing relevant theoretical content and previous literature,and analyzes the development status of industrial green total factor productivity from the national and regional levels.Furthermore,based on the spatial perspective and nonlinear perspective,the impact mechanism of clean technology innovation on industrial green total factor productivity under environmental regulation constraints is elucidated,and the spatial Dubin model(SDM)and panel smooth transition regression(PSTR)models are constructed to empirically test the impact effect of clean technology innovation on industrial green total factor productivity under environmental regulation constraints.The main conclusions are as follows:(1)The measurement results of industrial green total factor productivity show that China’s industrial green total factor productivity has grown rapidly.Industrial green technology efficiency and green technology progress have been improved,and green technology progress has improved even more.The industrial green total factor productivity in the eastern,central and western regions showed a growth trend,of which the central region grew the fastest,followed by the eastern region,and the slowest in the western region.(2)The empirical analysis results of the spatial Dubin model show that clean technology innovation positively promotes the green total factor productivity of local industry,but the green total factor productivity of local industry cannot be affected by neighboring clean technology innovation.From the perspective of innovation heterogeneity,compared with invention-type clean technology innovation,utility model clean technology innovation has a more obvious role in promoting the green total factor productivity of local industry.It is further found that environmental regulation strengthens the promotion effect of clean technology innovation on the green total factor productivity of local industries,but the spatial spillover effect is still not obvious.(3)The empirical analysis results of the PSTR model show that clean technology innovation has a single threshold effect of environmental regulation on industrial green total factor productivity,and higher environmental regulation is conducive to clean technology innovation to promote industrial green total factor productivity.The results of the subregional study show that with the change of environmental regulation from the low-region system to the high-region system,the inhibitory effect of clean technology innovation on industrial green total factor productivity in the eastern area has gradually increased,the central area’s positive influence continued to strengthen,and the western area showed a first inhibitory and then promoting effect.Based on the empirical findings,the relevant policy suggestions are summarized.First,In-depth implementation of innovation-driven development strategy,vigorously support and promote the investment in clean technology research and development factors,and stimulate the advantages of clean technology to reduce resource consumption,improve environmental quality and increase economic growth.Second,pay attention to the reform of the utility model patent system and appropriately increase the examination of green utility model patents;Optimize the innovation incentive system,reward innovation with "quality" rather than "quantity",and induce enterprises to carry out higher quality clean technology innovation activities.Third,explore an effective regional economic and technical cooperation system,form an innovation ecology of co-creation,shared responsibility,winwin and sharing,and promote the coordinated development of regional clean technology innovation.Fourth,scientifically set the intensity of differentiated environmental regulation,local governments should not impose too strict environmental regulations on the eastern region,while the central and western regions should further strengthen environmental regulation level.The innovation of this study lies in:(1)The existing literature examines the spatial effect of technological innovation on industrial green total factor productivity,but there are few studies on clean technology innovation.This study explores the spatial effect of clean technology innovation on industrial green total factor productivity and the heterogeneity of innovation behavior,and the spatial interaction effect of clean technology innovation on industrial green total factor productivity under environmental regulation constraints is analyzed.(2)The relationship between environmental regulation,clean technology innovation and industrial green total factor productivity in related fields is not in-depth enough,and traditional nonlinear econometric models are mostly used,and there is a lack of discussion of threshold effect.In this study,the traditional nonlinear econometric model is abandoned,and the PSTR model is used to investigate the environmental regulatory threshold effect of clean technology innovation on industrial green total factor productivity and its regional heterogeneity. |