Carbon Emissions Trading

Wang, Jing

doi:10.1007/978-3-319-01153-0_7

Cited by 5 publications

(3 citation statements)

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“…China. In the world's largest GHG emitter (over 14GtCO2e, see UNEP, 2022), the State Council released a "Guidance on Accelerating the Establishment of a Sound Economic System of Green, Low-Carbon and Circular Development" in 2021 with a focus on green industries until 2025 and on reaching an international level in energy and resource efficiency by 2035 (Wang & Huang, 2021). However, carbon-neutral research in China often lacks depth or is siloed, for example, focused on low-carbon transport but not integrated with land uses or the urban spatial form (Zhang, 2012).…”

Section: Usmentioning

confidence: 99%

Collaborative research for transitioning to Climate-Neutral Cities – contouring a prospective framework for integrated planning

Istrate,

Popartan,

Auerbach

et al. 2023

Planning Theory

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Transitioning to climate-neutral cities is difficult in practice, depending on complex urban activities and involving a vast range of stakeholders. Cities need ongoing support for assessing and implementing climate-neutral solutions. Following multi-country, collaborative academic workshops on this topic, we debate the use of new technologies and integrated planning approaches. We contour a preliminary framework underpinned by five key dimensions (urban nature; urban mobility; built form; energy; and circularity), triangulated with three research pillars: 1) citizen engagement, 2) city governance decision-making, supported by 3) digital technology. This essay proposes digital technologies as a bridge between bottom-up and top-down directions, challenges silo-thinking, and informs a cross-disciplinary, integrated climate-neutral planning process (in Europe).

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Section: Usmentioning

confidence: 99%

Collaborative research for transitioning to Climate-Neutral Cities – contouring a prospective framework for integrated planning

Istrate,

Popartan,

Auerbach

et al. 2023

Planning Theory

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“…Referring to Wang et al [28], the model was constructed in the following specific form by considering the quadratic relationship between economic growth and environmental pollution in the EKC.…”

Section: Spatial Modelmentioning

confidence: 99%

Spatial Effects of Green Credit on Air Quality: An Empirical Test Based on the Dual Carbon Perspective

Sun

2023

Sustainability

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Based on balanced panel data from 30 provinces and cities (excluding Hong Kong, Macao, Taiwan, and the Tibet Autonomous Region) from 2016 to 2020, this article empirically analyses the spatial effect of green credit (GD) on air quality index (AQI) and the regulatory mechanism between them and explores the differences in the impact of GD on AQI by dividing China into regions in terms of geographical distribution, financial development level, and air quality level. The empirical results found that AQI depends on significant spatial characteristics. GD has a significant inverted U-shaped impact on AQI and is currently at the stage of suppressing air quality. The inverted U-shaped impact is more remarkable in the eastern region, in areas with poor financial development, in areas with poor air quality and GD has entered the stage of promoting air quality levels in the eastern regions, and in areas with good financial development. Environmental regulation has a negative moderating effect on the relationship between GD and AQI, which is less pronounced in eastern regions, in areas with poorly financial development, and in areas with better air quality.

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“…Coal is an important fossil energy source and industrial raw material. It is the largest and most abundant fossil energy material in China [15]. The total amount of CO 2 emitted by coal combustion has more than doubled in the past 20 years because of the continuous increase in total energy consumption (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Combined Analytic Hierarchy Process and Weighted Interval Method Models for the Geological Evaluation of CO2 Storage in Coal Goaf

Hou,

Xiao,

Liu

et al. 2024

Energies

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The increasing concentration of CO2 in the atmosphere is a major factor contributing to climate change. CO2 storage in coal goaf is a convenient, effective, and economical solution. Methods to quickly and effectively evaluate geological conditions are urgently required. The main influencing factors are geological safety, storage potential, economics, and environmental protection; these include 4 aspects, 38 indexes, and 4 index levels that can be quantified using classification levels. We established a geological evaluation model, using analytic hierarchy process (AHP) and weighted interval methods. AHP was used to determine its elements, indicators, and inter-layer relationships, as well as to clarify its structural relationships. The weight interval method is used to evaluate unstable elements, reducing their difficulty, and constant values are used to assign weights of stable elements to increase accuracy. This model was applied to assess the suitability of the goaf in Yaojie mine for geological CO2 storage. The results revealed that this goaf is an above average CO2 storage space, which was consistent with previous research. This geological CO2 storage evaluation model may also be used to assess the CO2 storage suitability of other coal goafs.

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Carbon Emissions Trading

Cited by 5 publications

References 0 publications

Collaborative research for transitioning to Climate-Neutral Cities – contouring a prospective framework for integrated planning

Collaborative research for transitioning to Climate-Neutral Cities – contouring a prospective framework for integrated planning

Spatial Effects of Green Credit on Air Quality: An Empirical Test Based on the Dual Carbon Perspective

Combined Analytic Hierarchy Process and Weighted Interval Method Models for the Geological Evaluation of CO2 Storage in Coal Goaf

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