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The unreasonable economic development model of human beings has caused the environmental pollution problem to become increasingly serious. In order to achieve a positive relationship and interaction between environmental regulation, research and development (R&D) investment, and green technology innovation, and effectively solve the “strange circle” problem between high-quality economic development and environmental pollution in China and even the world, this paper takes the panel data of industrial enterprises above designated size in Chinese mainland 31 provinces from 2009 to 2019 as a research sample. The comprehensive index of R&D investment and green technology innovation was established by the entropy method, and the panel vector autoregressive (PVAR) model was constructed from the dynamic endogenous perspective, and the dynamic interaction and regional heterogeneity between environmental regulation, R&D investment, and green technology innovation were empirically analyzed by using impulse response function and variance decomposition. We obtain the following findings: (1) Environmental regulation has a two-way interaction relationship with R&D investment and green technology innovation, and R&D investment has a promotion effect on the “green degree” of technological innovation, but its role is still weak and has lagging characteristics. (2) There is significant regional heterogeneity in the dynamic responses of the eastern, central and western parts of China. (3) In the long run, environmental regulation has a “negative crowding out effect” on R&D investment in the central region, and the phenomenon of “central collapse” still exists but will gradually weaken. Environmental regulation has a “positive innovation compensation effect” on green technology innovation. Green technology innovation and R&D investment have an obvious “Pareto improvement” effect on environmental regulation, especially in the eastern region. The conclusions of this study help to clarify the dynamic interaction between environmental regulation, R&D investment, and green technology innovation, further improve environmental regulatory policies and green technology innovation R&D decision-making, and provide an effective way to achieve green and sustainable development in China and other parts of the world.

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This article using the spatial econometric analysis technology to build a space from the perspective of geographical feature weighting matrix, spatial correlation of the regional economic growth and integration, to explore the ecological innovation capacity and regional spatial spillover effect of economic growth, and using the spatial regression model decomposition of the partial differential method of actual effect based on 2009-2017 panel data from 29 provinces cities and autonomous regions in China. Based on the data of 29 provinces and cities in China from 2009 to 2017, this paper constructs the spatial weight matrix from the perspective of geographical features, establishes the spatial panel econometric model, and investigates the spatial correlation and clustering of regional economic growth uses spatial econometric analysis technology. We explore the spatial spillover effect of ecological innovation ability and regional economic growth, and uses the partial differential method of spatial regression model to decompose this effect. The results show that, firstly, China’s regional economic development is not balanced, and the economic development of neighboring regions is basically the same, which has a certain degree of spatial agglomeration and significant spatial correlation, and China’s economic growth has significant spatial heterogeneity. Second, the ecological innovation environment has a great spillover effect on the economic growth of neighboring regions, and the human resource level and capital investment have significant positive spillover effect between neighboring regions. The coefficient of ecological innovation output is significantly negative. Thirdly, the regional flows of capital input, labor force, the level of opening up, industrial structure and human capital not only have obvious direct effects, but also have a significant promoting effect on economic growth through the spatial spillover effect. The conclusion of this paper provides policy enlightenment for promoting sustainable economic growth among provinces and regions in China.