ArticleEnvironmental science and ecotechnology2024
The 2022 report of synergetic roadmap on carbon neutrality and clean air for China: Accelerating transition in key sectors.
Article in Environmental science and ecotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 53 citations in OpenAlex.
- The impact of the zero-waste city pilot policy on the synergistic reduction of CO₂ and air pollutant emissions: evidence from China.Frontiers in public health · 2026Article
- Strategy for coordinating near-term PMProceedings of the National Academy of Sciences of the United States of America · 2025Article
- The 2024 report of the synergetic roadmap on carbon neutrality and clean air for China: Pollution and carbon reduction promote green economic development.Environmental science and ecotechnology · 2025Article
- Article
- The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth.Environmental science and ecotechnology · 2025Article
- Peaking China's COEnvironmental science and ecotechnology · 2024Article
- Synergetic strategies for carbon neutrality and clean air.Environmental science and ecotechnology · 2024Article
- Synergistic governance: China's roadmap to improved health through climate and clean air actions.Environmental science and ecotechnology · 2024Article
- Drawing a synergetic roadmap of carbon neutrality and clean air for China - Introduction to the new column synergetic roadmap.Environmental science and ecotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
50 authors at 20 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
China is now confronting the intertwined challenges of air pollution and climate change. Given the high synergies between air pollution abatement and climate change mitigation, the Chinese government is actively promoting synergetic control of these two issues. The Synergetic Roadmap project was launched in 2021 to track and analyze the progress of synergetic control in China by developing and monitoring key indicators. The Synergetic Roadmap 2022 report is the first annual update, featuring 20 indicators across five aspects: synergetic governance system and practices, progress in structural transition, air pollution and associated weather-climate interactions, sources, sinks, and mitigation pathway of atmospheric composition, and health impacts and benefits of coordinated control. Compared to the comprehensive review presented in the 2021 report, the Synergetic Roadmap 2022 report places particular emphasis on progress in 2021 with highlights on actions in key sectors and the relevant milestones. These milestones include the proportion of non-fossil power generation capacity surpassing coal-fired capacity for the first time, a decline in the production of crude steel and cement after years of growth, and the surging penetration of electric vehicles. Additionally, in 2022, China issued the first national policy that synergizes abatements of pollution and carbon emissions, marking a new era for China's pollution-carbon co-control. These changes highlight China's efforts to reshape its energy, economic, and transportation structures to meet the demand for synergetic control and sustainable development. Consequently, the country has witnessed a slowdown in carbon emission growth, improved air quality, and increased health benefits in recent years.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.