Passive Sampling: A Greener Technique for the ‘Dual Carbon’ Goal While Implementing the Action Plan for Controlling Emerging Pollutants

Zi, Jin-Xin; Xiao, Shifu; Liu, Sisi; Chen, Chang-Er

doi:10.1007/s00128-022-03656-7

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The Paris Agreement’s long-term goal is to keep the rise in average world temperature to 1.5–2 °C below what it was throughout the industrial era [ 22 ]. At the 75th UN General Assembly, China publicly presented the double carbon goal, which aims to reach the peak of carbon emissions by 2030 and carbon neutrality by 2060 [ 23 ]. The “Blue Book of Low-Carbon Development: Report on The Carbon Neutrality (2022)” points out that during the period from 2001 to 2010, China’s carbon emissions maintained the same high growth rate as its GDP, once reaching as high as 18%.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Effect of Digital Economy on Carbon Emissions under the Background of “Double Carbon”

Cheng

2023

IJERPH

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(1) Background: In light of the global economy’s digitalization and the “double carbon” target constraint, the digital economy is essential to fostering scientific and technological innovation, green growth, and lowering energy emissions. (2) Methods: This paper measures the digital economic index and carbon emission intensity and analyzes their characteristics in spatial and temporal dimensions using 282 Chinese urban panel data by improving various statistical methods of panel data, such as the entropy method, fixed effect model, multi-period DID model, moderating effect model and intermediary effect model. This paper examines the extent and mechanism of the digital economy’s impact on urban carbon emissions. (3) Results: During the sample period, the overall trend of the digital economy in China was one of constant growth, showing an unbalanced distribution pattern of “high in the eastern regions, lower in the central regions and lowest in the western regions” in the spatial dimension. Carbon emissions can be significantly decreased by the digital economy, which has a dynamic effect and an inverted U-shaped trend in its influence. The digital economy plays a significant role in reducing carbon emissions through the rational layout of industrial structures. The transmission mechanisms for the digital economy’s goal of reducing carbon emissions include environmental regulation and green technology innovation. (4) Conclusion: The research findings provide a reference for multiple decision makers to better formulate carbon emission policies and realize carbon emission decrease in the digital economy.

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Section: Literature Reviewmentioning

confidence: 99%

Research on the Effect of Digital Economy on Carbon Emissions under the Background of “Double Carbon”

Cheng

2023

IJERPH

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“…China, as a major carbon dioxide emitting country, ranks among the top in the world in terms of total carbon dioxide emissions all year round, and according to statistics, China's carbon dioxide emissions in 2019 were 10.29 billion tons, accounting for 28% of the total global carbon emissions and ranking rst in the world (Ying and Sovacool 2021). In September 2020, China formally proposed at the 75th UN General Assembly to achieve the "peak carbon" and "carbon neutral" goals by 2030 and 2060, respectively (Zi et al 2022). In order to promote the "double carbon" target, China has also actively borrowed from the mainstream international carbon reduction policies, and as early as 2011, China approved the pilot project of carbon emission rights in seven provinces and cities, including Beijing, Shanghai, Tianjin, Chongqing, Hubei, Guangdong, and Shenzhen.…”

Section: Introductionmentioning

confidence: 99%

Carbon trading systems and Credit Spreads of Highly Polluting Corporate Bonds: An Empirical Study Based on a Triple Difference Model

Liu

Chen

et al. 2023

Preprint

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The global environment has been changing rapidly since the 21st century, and the harmonious coexistence between human beings and nature has been seriously challenged, and the green transformation of highly polluting enterprises has become a requirement of the times. Based on monthly corporate bond data and annual corporate financial data from January 2009 to December 2019 in China, this paper constructs a triple difference model to test the impact of carbon trading system on corporate bond credit spreads. The results show that, first, the carbon trading system has a reducing effect on the credit spreads of bonds of highly polluting companies in the carbon trading pilot region, and the implementation of the carbon trading system can promote bond financing in the green transformation process of highly polluting companies. Second, there is heterogeneity in the impact of the carbon trading system on the credit spreads of bonds of high-polluting firms, with private firms, small-scale firms and emerging firms having a greater reduction in corporate bond credit spreads than state-owned firms, large-scale firms and senior firms. Third, the carbon trading system exposes high-polluting firms to the risk of bankruptcy in the "carbon trading market" due to high operating costs and small net profits, thus incentivizing high-polluting firms to raise bonds in the "investment and financing market" to promote their green transformation.

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Modeling and validation of a novel load model considering uncertain thermal disturbance in the district heating system

Yang

Peng

Zhao

et al. 2023

Energy and Buildings

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Passive Sampling: A Greener Technique for the ‘Dual Carbon’ Goal While Implementing the Action Plan for Controlling Emerging Pollutants

Cited by 4 publications

References 17 publications

Research on the Effect of Digital Economy on Carbon Emissions under the Background of “Double Carbon”

Research on the Effect of Digital Economy on Carbon Emissions under the Background of “Double Carbon”

Carbon trading systems and Credit Spreads of Highly Polluting Corporate Bonds: An Empirical Study Based on a Triple Difference Model

Modeling and validation of a novel load model considering uncertain thermal disturbance in the district heating system

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