Differences in carbon risk spillovers with green versus traditional assets: Evidence from a full distributional analysis

Duan, Kun; Liu, Yang; Yan, Cheng; Huang, Yingying

doi:10.1016/j.eneco.2023.107049

Cited by 7 publications

(2 citation statements)

References 65 publications

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“…With the massive amount of information provided by big data technology, which can be used to evaluate enterprises at a lower cost, digital finance offers diversified financing channels for enterprises to allow financial resources to precisely match the capital needs of green R&D and achieve green goals, effectively alleviating the enterprises' financing constraints (Zhang and Hu, 2023). In addition, through the provision of green financial products and services, digital finance improves the transparency of environmental information, expands green investment and financing channels to widen the difference between risk spillover of green assets and traditional assets, forming a green and low-carbon economic and financial system (Duan et al, 2023).…”

Section: Moderating Effects Of the Digital Economy On The Esacgmentioning

confidence: 99%

The effect of synergistic pollution and carbon reduction in the digital economy: Quasi-experimental evidence from Chinese cities

Yin,

Kuang,

Deng

2023

Front. Energy Res.

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Introduction: The digital economy plays a crucial role in achieving synergistic reduction in air pollutants and carbon emissions.Methods: A super-efficiency slack-based model with undesirable outputs was applied to systematically calculate the efficiency of synergistic air pollutants and carbon emissions governance (ESACG). This study used the difference-in-differences (DID), propensity score matching-DID, quantile DID methods and generalized random forest model to empirically test the impact and its heterogeneity of the digital economy on the ESACG, with the establishment of the National Big Data Comprehensive Pilot Zone as a quasi-natural experiment.Results: 1) The digital economy significantly improved the ESACG by optimizing industrial structure in source management, improving energy utilization efficiency in process control, and promoting green technological innovation in end blocking. The digital literacy of talent and digital financial support strengthened its enhancing effect, but the digital infrastructure was insignificant. 2) The digital economy significantly enhanced the ESACG in the cross-regional and regional demonstration zones but inhibited it in the pioneering zones. Its impact on the ESACG in big data infrastructure-integrated development zones was insignificant. 3) Between the 25th and 90th quantiles, there was an asymmetric inverted U-shaped influence of the digital economy on the ESACG, with no discernible impact at the 10th quantile. In cities with better economic development and technological innovation, the contribution of the digital economy to the ESACG was more significant.Discussion: It is necessary to continuously advance the construction of existing pilot zones, steadily expand their coverage, and differentiate between harnessing the experiences of reducing pollution and carbon emissions to formulate strategies for synergistic regional governance.

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Section: Moderating Effects Of the Digital Economy On The Esacgmentioning

confidence: 99%

The effect of synergistic pollution and carbon reduction in the digital economy: Quasi-experimental evidence from Chinese cities

Yin,

Kuang,

Deng

2023

Front. Energy Res.

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“…The relationship between energy, the environment, and economic growth has received widespread attention in scientific research in recent years (Naeem et al, 2022;Duan et al, 2023a;Naeem et al, 2023;Ren et al, 2023), yet environmental sustainability remains a global issue. The development of renewable energy (Zhang and Wang, 2019;Adebayo et al, 2022), green technology innovation (Du et al, 2019;Habiba et al, 2022), and regulatory policy mechanisms (Abbas et al, 2021;Annamalaisamy and Vepur Jayaraman, 2023) contribute to reducing greenhouse gas emissions and supporting environmental sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Did the “double carbon” policy improve the green total factor productivity of iron and steel enterprises? a quasi-natural experiment based on carbon emission trading pilot

Xu,

Jiang,

Jia

et al. 2023

Front. Energy Res.

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Based on the data of listed companies in China’s iron and steel industry from 2007 to 2020, the article investigates the impact mechanism and the path of action of China’s carbon emissions trading pilot on the green total factor productivity of iron and steel enterprises by constructing a multi-period difference-in-difference model difference-in-differences. The study finds that: 1) China’s iron and steel enterprises significantly improve their green total factor productivity driven by the carbon trading pilot, and the findings pass the corresponding robustness tests. 2) the mechanism analysis indicates that the carbon trading pilot promotes the green total factor productivity of iron and steel enterprises by forcing the technological progress of enterprises. 3) The heterogeneity analysis shows that the positive effect is more significant for large iron and steel enterprises with high social responsibility rating and high local government competition intensity, but not for small enterprises with low social responsibility rating and low local government competition intensity. 4) the dynamic effect shows that there is a certain lag in the promotion effect of the carbon emission trading pilot on the green total factor productivity of iron and steel enterprises, but its long-term effect is more obvious. This paper puts forward corresponding suggestions for accelerating the construction of a national unified green and low-carbon market system and actively promoting the deepening of the “dual-carbon” goal.

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Extreme weather, policy uncertainty, and risk spillovers between energy, financial, and carbon markets

Dong,

Li,

Huang

et al. 2024

Energy Economics

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Differences in carbon risk spillovers with green versus traditional assets: Evidence from a full distributional analysis

Cited by 7 publications

References 65 publications

The effect of synergistic pollution and carbon reduction in the digital economy: Quasi-experimental evidence from Chinese cities

The effect of synergistic pollution and carbon reduction in the digital economy: Quasi-experimental evidence from Chinese cities

Did the “double carbon” policy improve the green total factor productivity of iron and steel enterprises? a quasi-natural experiment based on carbon emission trading pilot

Extreme weather, policy uncertainty, and risk spillovers between energy, financial, and carbon markets

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