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Based on the two-stage innovation value chain model, incorporating environmental regulation policies and three-waste emissions into the research framework, constructing a green technology innovation efficiency evaluation index system from the perspectives of green inputs and outputs, and utilizing the super-efficiency SBM model and the Malmquist-Luenberger index model, assessing the effectiveness of green technological innovation in two aspects, namely, static, and dynamic, respectively. The results show that: the average value of green technical innovation efficiency of China's hightech industries is 0.5277, with significant differences between provinces, but the overall is constantly improving, showing an upward trend; the green technological innovation efficiency decreases from east to west, and the differences among the three major regions are not only embodied in spatial patterns, but also in the growth rate; during the period of investigation, the inefficient provinces are gradually decreasing, and the level of green technological innovation of China is constantly getting better; China's The average value of ML index of green technical innovation efficiency of high-tech industries in China is greater than 1, and the overall development trend is better; the increase of ML index in the eastern and central regions mainly relies on the positive influence of technological efficiency, while the decrease of ML index in the western part is affected by the recession of technological progress and technological efficiency, and the efficiency of technology research and development stage is generally higher than that of scientific and technical achievements transformation stage, and low efficiency of achievements transformation stage is mainly affected by the inhibiting effect of technological progress - inhibitory effect of technological advancement. [ABSTRACT FROM AUTHOR]

Reasonable risk-taking is an important prerequisite for corporate green transformation. How environmental regulation policies affect corporate risk-taking is an issue worthy of discussion under the background of the development of economic and social green transformation. Based on a theoretical analysis of the effects of environmental regulations, this study used the data of China’ s A-share listed companies from 2004 to 2019 to empirically test the impact of environmental regulation policies on corporate risk-taking. The study found that: ① The strengthening of environmental regulations would significantly increase the level of corporate risk-taking. ② The mechanism test found that both the ‘dynamic effect’ of environmental regulations promoting technological progress and market competition efficiency and the ‘pressure effect’ aggravating enterprises’ production costs and the degree of enterprises’ shadow banking activities would lead to a rise in the level of corporate risk-taking. ③ The regional innovation environment and the cost transfer ability of enterprises significantly affected the policy effect of environmental regulations on improving corporate risk-taking. ④ Further re⁃ search showed that environmental regulations promoted corporate risk-taking, reduced the environmental performance of enterprises, and improved the default risk of enterprises, indicating that the negative effect brought by ‘pressure effect’ occupied a dominant position. This study has not only enriched the research on the effects of environmental regulation policies, but also expanded the research horizons of factors affecting corporate risk-taking. [ABSTRACT FROM AUTHOR]

Research on the impact of environmental regulation, an important measure promoting the construction of ecological civiliza⁃ tion, on green total factor productivity has increasingly become a hot spot. This article attemptd to consider the spatial effect in order to study the nonlinear spatio-temporal impact of investment-oriented environmental regulations dominated by government pollution control on green total factor productivity. Firstly, from the perspective of intra-regional and inter-regional interaction, it revealed the theoretical mechanism of investment-oriented environmental regulations affecting green total factor productivity and examined the characteristic facts of its nonlinear influence relationship. Secondly, based on the goal of green and low-carbon transformation, the non-radial SBM di⁃ rectional distance function method, including outputs such as carbon emissions and PM2.5, was used to measure the provincial-level green total factor productivity from 2001 to 2019 and to decompose the contributions of pure efficiency, technological progress, and scale efficiency. Thirdly, this article selected spatial econometric models based on the Queen adjacency weight matrix and the geograph⁃ ical distance weight matrix to analyze the nonlinear spatio-temporal impact of investment-oriented environmental regulations on green total factor productivity. The multi-threshold model was further used to test the regional impact mechanism of investment environmentaloriented regulation on green total factor productivity. The research results showed that: ① Compared to 2001-2011, the national green total factor productivity growth increased significantly from 2012 to 2019, and the regional gap in green total factor productivity had a narrowing overall trend. ② When considering spatial effects, there was an inverted U-shaped relationship between investment-oriented environmental regulations and green total factor productivity. This degree of influence had temporal and spatial heterogeneity, that is, the degree of inverted U-shaped influence was more prominent during 2001-2011 and in the central and western regions. It showed that the degree of inverted U-shaped influence was related to the effect of technological progress. ③ From the perspective of spatial spillover effects, green total factor productivity had significant spatial correlation characteristics, and investment-oriented environmen⁃ tal regulations at the national level had a significant positive spatial spillover effects on green total factor productivity. The spatial spill⁃ over effects of different periods and regions were heterogeneous. ④ When the energy consumption per unit GDP met a certain threshold condition, the improvement of investment-oriented environmental regulation could have a positive effect on green total factor productivi⁃ ty. Finally, countermeasures and suggestions are put forward from the aspects of comprehensive environmental regulation tools, con⁃ struction of regionally coordinated and efficient environmental regulation policies, exploration of cross-regional ecological compensation mechanisms, strengthening green technology transformation, and adjusting industrial structure. [ABSTRACT FROM AUTHOR]

In order to explore the impact of technological innovation on economic performance all regions in China is studied from different environmental regulation. The panel data of 30 provinces from 2007 to 2017 are collected, and variables reflecting environmental regulation and technological innovation are designed. Multivariate linear regression analysis is used to verify how technological innovation affects economic performance before and after environmental regulation is added. The results show that technological innovation has a significant positive impact on economic performance, and technological innovation has still a positive impact on economic performance after addingenvironmental regulation.The eastern region is superior to the central and western regions in terms of environmental regulation policy, technological innovation and economic performance, and in dealing with the relationship among those three. Therefore, on the basis of implementing appropriate environmental regulations, the government encourages technological innovation and increases D expenditure appropriately, which is conducive to improving sales revenue of new products and increasing economic performance. [ABSTRACT FROM AUTHOR]

The effect of environmental regulations on the nexus between financial development and biased technological innovation is a prerequisite for optimizing systems of environmental and financial policies to gain sustainable development goals (SDGs) in emerging markets. Drawing on China's city-level data from 2003 to 2018, we established econometric models and obtained the following empirical results. Financial development (FD) can promote energy- and environmental-biased technological progress, but, owing to the inverted U-shaped relationship, economic development, and resource endowment, the impact that FD has on biased technological progress is heterogeneous; unreasonable FD will also hinder green technological progress. Threshold model shows that with the improvement of environmental regulation, the impact of energy- and environmental-biased technological progress is also increasing. The development of green finance under SDGs is an important driving force in green technological progress. Finally, we offer suggestions to optimize environmental and financial policymaking and implementation from a government intervention perspective. [Display omitted] • It is important to optimize environmental and financial policies to gain SDGs. • Environmental policies are affected by technological and financial developments. • Financial development (FD) promotes energy- and environmental-technological growth. • Due to an inverted U-shaped relationship biased FD hinders green technology growth. • Green finance development under SDGs will drive green technological progress. [ABSTRACT FROM AUTHOR]