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"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]

China's carbon emission trading policy plays a crucial role in achieving both its "3060" dual carbon objectives and the United Nations Sustainable Development Goal 13 (SDG 13) on climate action. The policy's effectiveness in reducing pollution and mitigating carbon emissions holds significant importance. This paper investigated whether China's carbon emission trading policy affects pollution reduction (PM 2.5 and SO 2) and carbon mitigation (CO 2) in pilot regions, using panel data from 30 provinces and municipalities in China from 2005 to 2019 and employing a multi-period difference-in-differences (DID) model. Furthermore, it analyzed the heterogeneity of carbon market mechanisms and regional variations. Finally, it examined the governance pathways for pollution reduction and carbon mitigation from a holistic perspective. The results indicate that: (1) China's carbon emission trading policy has reduced CO 2 emissions by 18% and SO 2 emissions by 36% in pilot areas, with an immediate impact on the "carbon mitigation" effect, while the "pollution reduction" effect exhibits a time lag. (2) Higher carbon trading prices lead to stronger "carbon mitigation" effect, and larger carbon market scales are associated with greater "pollution reduction" effects on PM 2.5. Governance effects on pollution reduction and carbon mitigation vary among pilot regions: Carbon markets of Beijing, Chongqing, Shanghai, and Tianjin show significant governance effects in both "pollution reduction" and "carbon mitigation", whereas Guangdong's carbon market exhibits only a "pollution reduction" effect, and Hubei's carbon market demonstrates only a "carbon mitigation" effect. (3) Currently, China's carbon emission trading policy achieves pollution reduction and carbon mitigation through "process management" and "end-of-pipe treatment". This study could provide empirical insights and policy implications for pollution reduction and carbon mitigation, as well as for the development of China's carbon emission trading market. • China's carbon emission trading (CET) policy promotes pollution reduction and carbon mitigation. • Higher carbon trading prices lead to stronger "carbon mitigation" effect. • Larger carbon market scales bring greater "pollution reduction" effects on PM 2.5. • Regional heterogeneity exists on pollution reduction and carbon mitigation. [ABSTRACT FROM AUTHOR]

Exploring whether informal environmental regulations (INER) can achieve carbon reduction in the context of pollution reduction and carbon reduction, as well as how to achieve carbon reduction, can help solve the dual failures of the market and government in environmental protection. Based on the polycentric governance theory and considering the characteristics of social subject environmental participation, the Stackelberg game is used to demonstrate the impact mechanism of INER on CO 2. In addition, using the panel data of China's 30 provinces from 2003 to 2018, this paper validates the effectiveness of INER by Pooled Ordinary Least Square (POLS) and threshold panel model. Then, the mediating effect model is used to test the mechanism of INER's effect on carbon reduction. The results show that corruption is not conducive to CO 2 reduction. The reduction effect of INER on CO 2 exhibits heterogeneity with changes in other non-greenhouse gas pollutants. While INER effectively reduces local corruption, its more substantial indirect impact on CO 2 reduction is prominent when levels of other pollutants are lower. Comparative analysis reveals that there are still biased governance behaviors to cope with INER's pressure in some regions nowadays. The findings show that for countries facing the dual task of pollution control and carbon reduction, the key to leveraging the supervisory role of INER should be focused on mitigating information asymmetry caused by the characteristics of CO 2. Therefore, in the process of environmental protection, the public environmental participation system should be improved, and the process of disclosing polluters' carbon information should be accelerated. • Polluters may adopt strategic carbon reduction behaviors. • Other pollutants influence the impact of INER on CO 2. • When other pollutants are low, INER significantly reduce CO 2 by constraining corruption. • Some regions still have biased governance behaviors to cope with INER's pressure. [ABSTRACT FROM AUTHOR]

The integration of digital technology and industrial technology emerges as a pivotal avenue for enterprises to attain Sustainable Development Goals (SDGs), promoting the transition towards a sustainable and green trajectory of development. The panel data utilized in this paper encompasses financial, operational, and carbon emission metrics of publicly listed companies in China from 2008 to 2019. This longitudinal dataset enables us to perform robust statistical analyses to evaluate the impacts of Digital-Industrial technology integration on carbon emission intensity over time. The results indicate that: (i) Digital-Industrial technology integration significantly reduces the carbon emission intensity of enterprises, the conclusion remains robust when subjected to endogeneity and sensitivity analyses. (ii) Digital-Industrial technology integration mainly reduces the marginal cost of production and enhances the accumulation of knowledge to reduce the carbon emission intensity of enterprises. (iii) Digital-Industrial Technology Integration manifests more pronounced effects in curbing carbon emissions in regions characterized by robust property rights protection and well-developed digital infrastructure. (iv) Further research finds that Digital-Industrial technology integration increases the green technology innovation and ESG (Environmental, Social, and Governance) performance of enterprises. The results of this study provide empirical evidence for the carbon emission reduction function of the Digital-Industrial technology integration, and also verify the positive externality impact of the Digital-Industrial technology integration on the enterprise green innovation and SDGs. • Explore the impact of Digital-Industrial technology integration on enterprise carbon emission intensity. • Digital-Industrial technology integration significantly reduces the carbon emission intensity of enterprises, and the conclusion robust to endogeneity and sensitivity analyses. • Digital-Industrial technology integration mainly reduces the marginal cost of production and enhances the accumulation of knowledge to reduce the carbon emission intensity of enterprises. • Digital-Industrial technology integration manifests more pronounced effects in curbing carbon emissions in regions characterized by robust property rights protection and well-developed digital infrastructure. • Further research finds that Digital-Industrial technology integration increases the green technology innovation and ESG (Environmental, Social, and Governance) performance of enterprises. [ABSTRACT FROM AUTHOR]

Low-carbon emissions are a major research focus to solve the problem of global warming and an important area that China needs to focus on to achieve high-quality development. Construction land scale is a non-negligible factor affecting carbon emissions. However, carbon emission impacts of county-scale spatial heterogeneity in construction land scale are under addressed in contemporary research. To address this gap, this paper took 1042 counties in China's Yangtze River Economic Belt (YREB) and developed datasets of the influencing factors including the construction land scale, GDP, secondary industry output proportion in GDP, residential population, and fixed asset investment. After comparing the ordinary least squares and geographically weighted regression (GWR) models, we applied GWR for more in-depth analyses. The global regression model results showed that the effect of the scale of construction land on carbon emissions was exceedingly significant and that the directions of the impacts coincided with the predictions. Further, local regression model results showed that construction land scale had significant spatial heterogeneity in the impact on carbon emissions and most counties (69.58%) showed significant positive correlations. The counties with significant construction land scale impacts on carbon emissions were concentrated and contiguous in spatial distribution and spatially clustered areas varied, with the clearest impact in the downstream region. The findings help to further identify the spatial heterogeneity of construction land scale impacts on carbon emissions, which provides evidence-based and theoretical support for policymakers to develop spatially differentiated emission reduction measures. • County-level emissions are high in the east, low in the west, and cluster in cities. • Construction land scale has a positive impact on carbon emissions. • Significant spatial heterogeneity in construction land scale impacts. • Significant impact counties are concentrated and contiguous in spatial distribution. • The most obvious impact was in the downstream area. [ABSTRACT FROM AUTHOR]

Although there are some review papers on carbon capture, utilization and storage (CCUS), hardly any of these reviews are focused on the role of CO 2 enhanced oil recovery (EOR) in accelerating carbon neutrality in China. In this review, strategies to achieve carbon neutrality is briefly but critically discussed, followed by a review of CO 2 -EOR as a promising technology. Especially, data analysis, including the number of publications on China's carbon neutrality, per capita CO 2 emissions, China's power generation, and the crude oil production of China's large oilfields, is carried out to make the discussion more comprehensive. Given the large amount of coal consumed in China, the high percent of electricity generated with coal, and the slow penetration of renewables already observed, it seems unlikely that 2060 targets will be met without CCUS. In order to achieve carbon neutrality, both reduction in carbon emissions and increase in carbon sequestration are inevitable. Furthermore, it is concluded that CO 2 storage through EOR is likely to have a bright future. However, there are some critical issues to be solved, including the technical issues, leakage and safety issues, cost issues, policy issues, etc. In order to turn CO 2 -EOR into a reliable and more favorable technology, more research and efforts are needed to solve these issues, including advancing carbon capture technologies, improving storage technologies, developing effective monitoring technologies, deploying government support and incentive policies, etc. • CO 2 emission reduction and sequestration are needed to achieve carbon neutrality. • Carbon capture and storage without utilization is not suitable for China. • CO 2 -enhanced oil recovery (EOR) is more viable as a cost-effective CCUS technology. • CO 2 -EOR is likely to make great contributions to China's carbon neutrality target. • CO 2 leakage risk exists and more research is needed to ensure CO 2 is safely stored. [ABSTRACT FROM AUTHOR]