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Simultaneously achieving economic development and environmental protection is a shared global challenge. While the positive effect of environmental regulations on protecting the environment has been widely recognized, the attention paid to low-carbon governance and corporate green transformation remains insufficient. Based on the two-stage least square regression model (2SLS) of instrumental variables, this paper utilizes panel data from China to identify the influence mechanism of government low-carbon governance on enterprise green development. It explores the effect of low-carbon governance on enterprise green development from the perspective of fiscal decentralization. The findings show that (1) Low-carbon governance significantly promotes corporate green development, primarily through improving industrial structure and technological innovation; (2) Low-carbon governance notably promotes the green development of private enterprises but has little effect on state-owned enterprises. There are also geographical differences, and the results are better in Eastern China than in the Central and Western parts of China; (3) Fiscal decentralization at both central and local levels inhibits the effect of low-carbon governance on driving corporate green development by causing a mismatch of human resources. Therefore, to promote corporate green development, low-carbon governance must prioritize green development, actively guide industrial structural upgrading and enterprise technological innovation, implement differentiated low-carbon governance measures tailored to different ownership enterprises, and optimize the assessment indicators for fiscal decentralization. This paper helps deepen the understanding of the relationship between government low-carbon governance and enterprise green development in developing countries. It can be used as a reference for government departments to formulate relevant policies. [ABSTRACT FROM AUTHOR]

Enhancing the low-carbon effect of green finance development (GFD) is an effective way for China to accelerate the comprehensive deepening of supply side structural reform, better realise the high-quality development of green economy and better protect the environment. Therefore, based on the green technology innovation theory and endogenous growth theory, from the four dimensions of green innovation (GI) in the GLOBIO model, the unbalanced panel data of 8976 manufacturing listed companies from 2009 to 2021 were used. This paper deeply explores the low-carbon effect of GI on the development of green finance (GF) in China's manufacturing industry. The results show that: on the whole, GI based on environmental protection has a significant incentive effect on the low-carbon effect of GFD. Compared with green material innovation and green process innovation, green product design innovation and green equipment innovation have more incentive effect. Further analysis shows that green product design innovation and green equipment innovation can produce incremental effect on the low-carbon effect of green financial development through green material innovation. The conclusion not only provides empirical support for green technology innovation theory and endogenous growth theory, but also provides effective evidence for the path of GF to achieve low-carbon development. [ABSTRACT FROM AUTHOR]

This paper analyzed the current situation and development trends of energy consumption and carbon emissions, and the current situation and development trend of coal consumption in China. In the context of recently established carbon peak and carbon neutralization targets, this paper put forward the main problems associated with the green and low-carbon development and utilization of coal. Five key technological innovation directions in mining were proposed, including green coal development, intelligent and efficient mining, low-carbon utilization and conversion of coal, energy conservation and emission reduction, carbon capture, utilization and storage (CCUS). Focusing on the above technological innovation directions, it is suggested to carry out three basic theories, including the theory of green efficient intelligent mining, clean and low-carbon utilization and transformation of coal, and CCUS. Meanwhile, it is proposed to develop 12 key technologies, including green coal mining and ecological environment protection, efficient coal mining and intelligent mine construction, key technologies and equipment for efficient coal processing, underground coal gasification and mining, ultra-high parameter and ultra-supercritical power generation technology, intelligent and flexible coal-fired power generation technology, new power cycle coal-fired power generation technology, the development of coal-based special fuels, coal-based bulk and specialty chemicals, energy conservation and consumption reduction, large-scale and low-cost carbon capture, CO2 utilization and storage. Finally, necessary measures from the governmental perspective were also proposed. [ABSTRACT FROM AUTHOR]

"Carbon peaking and carbon neutralization" is an important measure to promote China's ecological and environmental protection and high-quality economic development, and the innovation and application of green technology are critical factors in achieving the "double carbon" goal. Based on the number of citations of green patents of listed enterprises in 30 provinces in China from 2011 to 2020, this paper uses GGDP to replace traditional GDP and calculate carbon emission intensity. Based on the relevant panel data at the provincial level, this paper constructs a spatial Durbin model to analyze the impact mechanism of whether the promotion and application of green technologies promote regional carbon emission reduction. The specific research results are as follows: (1) Through regression of the core explanatory variables with a one-stage lag, it is verified that the promotion and application of green technology has a significant positive promoting effect on regional carbon emission reduction, and there are significant spatial spillover effects and "learning by doing" effects. (2) In the part of heterogeneity test, the impact of green technology promotion and application on carbon emission reduction presents apparent regional heterogeneity and factor endowment heterogeneity. (3) The mediating effect test verifies the mediating effect of energy structure and industrial structure on the influence of green technology promotion and application on regional carbon emission reduction. (4) In the part moderating effect test, it is verified that marketization level and new infrastructure construction have a positive moderating effect in their influencing process, financial development, and government support will weaken the influence of green technology promotion and application on carbon emission reduction effect, and human capital level has a nonlinear regulating effect. The research conclusions of this paper provide necessary enlightenment for the coordination and unification of China's economic transition to innovation-driven and green and low-carbon development. • The impact of GTPA on reduction in China was analyzed from a macro perspective. • The GS and FDL plays a negative moderating role in the influence process. • The HCL plays a nonlinear moderating role in the influence process. • The GTPA can significantly reduce regional CEI except in Western China. • Regions with high EDL and high GTI have better carbon reduction effects of GTPA. [ABSTRACT FROM AUTHOR]

The system as a whole is composed of various interrelated sub-systems. The effect of a system will be affected by the coordination of other systems associated with it. Only when the complementarity and coordination between systems increase can the implementation effect of the system be fully brought into play. As an informal system, social trust can affect the implementation effect of formal environmental regulations, but there are few studies on the moderating effect of social trust on the impact of environmental regulations on carbon emissions. Based on this, the panel data of 281 prefecture-level cities in China from 2010 to 2019 were selected as research samples. The moderating effect model and mediated moderating effect model were used to study the moderating effect and mechanism of social trust on the impact of environmental regulations on carbon emissions. In addition, the heterogeneity of this moderating effect was tested by region. The results showed that: ① The impact of environmental regulations on carbon emissions showed an inverted Ushaped nonlinear relationship, and the promotion effect of environmental regulations on carbon emissions was dominant in the present stage. FDI, the upgrading of industrial structures, and R&D innovation were important mediating channels for environmental regulations to affect carbon emissions. ② As a moderating variable, social trust positively moderated the impact of environmental regulations on carbon emissions and accelerated the arrival of the inflection point of the inverted U-shaped curve. ③ In terms of the mediating effect, the moderating effect of social trust on the impact of environmental regulations on carbon emissions was realized through the mediating effect of FDI, the upgrading of industrial structures, and R&D innovation, and the impact of social trust on the inflection points of the three intermediary channels was heterogeneous. ④ The moderating effect of social trust had regional heterogeneity. In small cities, the impact of social trust on environmental regulations on carbon emissions was greater than that in large and medium-sized cities. The moderating effect of social trust was greater in the cities without environmental protection than in the cities with environmental protection. The above conclusions were still valid after a series of robustness tests. It is hoped that this paper can enrich the relevant research on environmental regulations and social trust and be helpful for local governments to formulate relevant policies according to local conditions, improve the carbon emission reduction effect of environmental regulation, and accelerate the green development and transformation of Chinese cities. [ABSTRACT FROM AUTHOR]