Results 31 to 40 of about 3,853 (258)
Facing the double constraints of the “double carbon” target and high-quality economic development, carbon trading policy is an important tool for realizing the emission reduction commitment; based on the perspective of microenterprises, the specific ...
Anzi Han +6 more
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The impact of carbon emission trading scheme on export: Firm-level evidence from China
The carbon emission trading scheme (ETS) is an important measure to implement China’s “double carbon” strategy.We use “China’s carbon emission trading pilot policy” as a quasi-natural experiment to identify theeffect of this market-based environmental ...
Shubo Yang +8 more
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The Impact of Carbon Emissions (CO2) Trading Policies on Energy Consumption: The Mediating Role of Digital Economy Transformation and Energy Consumption in China [PDF]
The growing threat of climate change necessitates urgent action to mitigate carbon emissions, particularly in major emitters like China, which has implemented significant carbon reduction policies, including a carbon emission trading policy ...
Wang Zichen
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Understanding Carbon Emissions Reduction in China: Perspectives of Political Mobility
Climate change is one of the largest challenges facing mankind, and the question of how to reduce carbon emissions has raised extensive concern all over the world.
Zhichao Li, Bojia Liu
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Does carbon emission trading mitigate the level of enterprise investment risk? Evidence from China
Establishing a carbon emission trading market is a significant measure to control greenhouse gas emissions through market mechanisms. It helps reduce the overall costs of emission reductions and promotes a green, low-carbon economic transformation and ...
Gong Zhang +4 more
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To promote the green development of the global economy and solve the global energy and climate problems, the green transformation of the regional economy is the only way to solve development challenges.
Jiali Qian, Yinxiang Zhou
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
IntroductionBy constructing a computable general equilibrium model of "carbon trading" and "carbon trade-carbon tax", this study aims to deeply explore the combined impact of these two policies on China's economic development and carbon emission ...
Yanying Fei, Cao Jia
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
This paper introduces the current situation of carbon trading market in China and the effect of carbon emission reduction in each region. Theoretically, it expounds the influence mechanism and spatial spillover way of carbon trading market on regional ...
Yuxin Cui, Wei Feng, Xuesong Gu
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