ReviewFundamental research2022
Research on the national climate governance system toward carbon neutrality-A critical literature review.
Review in Fundamental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Comparative assessment of urban plants carbon sink and storage estimation methods: an integrated AHP-fuzzy comprehensive evaluation framework.Scientific reports · 2026Article
- Low-carbon operation technologies and challenges for process industry.Fundamental research · 2025Review
- Classifying intentions for carbon neutrality participation through latent class analysis.Heliyon · 2024Article
- Fundamental Research and Policy on Carbon Neutrality.Fundamental research · 2022Article
- Economic feasibility analysis for an electric public transportation system: Two cases of study in medium sized cities in Mexico.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global climate governance has entered the era of carbon neutrality, as a growing number of countries have set the goal of carbon neutrality for long-term emissions reduction toward the mid-21st century. In 2020, China also pledged itself to the goal of carbon neutrality, which creates an urgent demand for this country to establish a systematic and integrated national climate governance system. Against this background, this paper conducts a systematic literature review of climate governance systems from the perspectives of top-level design and the governance paradigm to bring insights into climate governance toward carbon neutrality. The results show that although there are interactions between decarbonization and other environmental, social and economic fields, research gaps still exist when enhancing climate governance toward carbon neutrality. For example, issues regarding incorporating climate factors into the overall economic and social layout, strengthening the capacity of data collection relevant to climate adaptation, integrating climate mitigation and adaption actions, as well as connecting domestic climate governance and international cooperation, need to be further addressed. In addition, within the national governance system, studies combining both regional and sectoral concerns and the intertemporal dynamic allocation mechanism need to be further addressed when China decomposes its national climate target. Moreover, the division of power between the central government and local government, as well as the communication scheme between government and non-state actors, also turns out to be important for effective governance. Based on this analysis, policy implications are further proposed for China's formulation and implementation of long-term strategies of climate governance toward carbon neutrality.
Indexed as
Identifiers
What OpenQuestion holds
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.