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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]

Resource-based regions support national economic development and are essential sources of basic energy and raw materials. In the post-pandemic era, however, there are practical situations to deal with, such as a fractured industrial chain, a weaker industrial structure, and a sharp reduction in economic benefits. Based on data collected from 68 cities in China, from 2010 to 2021, with 816 observations, this paper explores the industrial development process of resource-based regions in China and the change in the toughness of the industrial structure under the impact of COVID-19. The paper studies and analyzes industrial development trends, industrial structure toughness, and spatial spillover effects. The methods used are the Markov chain model and the Industrial Structure Advancement Index. By building the spatial Dubin model, the paper analyzes the spatial spillover effect of regional industrial development. It decomposes the spillover effect using the partial differential model based on regression. The results show that, during the study period, the comprehensive development level of industries in resource-based regions in China was slowly improving and tended to stabilize after entering the post-pandemic era. The evolution of an advanced industrial structure is significantly heterogeneous among regions, and each region has different toughness. The impact of COVID-19 has reduced the toughness of China's resource-based regions' industrial structure. The spatial spillover effect of regional industrial development is significant. Labor force, technology input, and industrial-structure optimization have different impacts on the industrial development of neighboring regions. In the post-pandemic era, China has used new management methods for more innovation. In order to achieve low-carbon, environmental protection, and sustainable development of resources, realize the rapid recovery of the toughness of industrial structure in China's resource-based cities, and reduce the impact of the COVID-19 pandemic, China proposes to expand the supply of resources, improve the allocation of resources, optimize the direction, promote the rational flow and efficient aggregation of various factors, and enhance the impetus for innovation and development. [ABSTRACT FROM AUTHOR]

The introduction of an environmental protection tax enables a smooth shift from the sewerage charge system to the environmental protection tax scheme. This, in turn, promotes a more sustainable development of enterprise growth, emphasizing eco-friendliness. This is of immense importance in advancing environmentally aware practices and sustainability. Based on data collected from A-share listed companies in Shanghai and Shenzhen from 2014 to 2021, this paper investigates the influence of environmental protection taxes on the advancement of green technology and the underlying mechanisms. Taking the execution of the Environmental Protection Tax Law in 2018 as a quasi-natural experiment, a double-difference model is employed to examine the causal relationship between environmental protection taxes and the adoption of green technology by companies. The findings indicate that the introduction of an environmental tax could markedly enhance the extent of green technological innovation within corporations. The evidence arising from the testing mechanism implies that such a tax can encourage firms to boost their investments in research and development, upgrade their innovative human capital, and mitigate financing limitations. The study found that there is heterogeneity in the promotion effect of the environmental protection tax on the green technological innovation of businesses in different regions and provinces with varying tax burdens and types of equity capital. Further research shows that the environmental protection tax has a greater impact on the promotion of utility model patent applications for green technology innovation. This paper presents empirical evidence to support further enhancement of the environmental protection tax system. It recommends designing the environmental protection tax policy with consideration for enterprises and local conditions and bolstering the system's capacity for guiding and stimulating enterprises' green development. [ABSTRACT FROM AUTHOR]

This paper argues that the joint relation between long-term orientation, environmental quality and innovation plays a key role in explaining the economic and the environmental dimension of sustainability. In our model multiple equilibria of economic development and environmental quality can arise due to a trade-off between the demand for innovation that promotes sustainability, and the ephemeral pleasure from polluting manufacturing that impedes it. Additional to traditional policies such as aid and technology transfers, policies that target behavioral changes through environmental protection may provide a double-dividend of economic and environmental sustainability through an environment-patience-innovation channel. [ABSTRACT FROM AUTHOR]

Green innovation possesses dual externalities of "innovation" and "environmental protection", and enhancing energy efficiency serves as a crucial means to promote high-quality economic development. Building upon the energy rebound effect, we use the balanced panel data of cities at prefecture level and above in China from 2008 to 2018 to explore the impact of urban green innovation on total factor energy efficiency (TFEE). The findings of this study indicate that, firstly, the impact of green innovation on TFEE exhibits a positive U-shaped pattern, characterized by initial suppression followed by subsequent promotion. This conclusion remains robust after undergoing a series of rigorous robustness tests. Second, high-quality green innovation is found to reach the turning point more quickly, implying that substantial green innovation can cross the turning point in smaller quantities. Thirdly, on the whole, in comparison to non-resource-based cities, resource-based cities are capable of reaching the turning point at an earlier stage. Finally, the new energy demonstration cities have not yet reached the turning point, while the non-new energy demonstration cities have crossed the turning point. This study contributes novel insights into the relationship between green innovation and TFEE, which holds significant implications for the formulation and implementation of sustainable development policies. [ABSTRACT FROM AUTHOR]