WeChat Mini Program
Old Version Features

An Overview of the Carbon Emission Standard Management System in China: Weaknesses and a Way Forward

Miaomiao Lu,Huimin Li,Xiu Yang

Sustainability(2025)

Cited 0|Views6
Abstract
The carbon emission standard is a critical policy instrument for mitigating greenhouse gas emissions and plays a pivotal role in the climate policy framework. This study employs content analysis to quantitatively examine China’s standard documents on carbon emissions management from 2012 to 2023. The translation and adaptation of international standards serve as the foundation for China’s carbon emissions management standard system, while the establishment of carbon markets and the pursuit of carbon peak and carbon neutrality objectives have significantly propelled the development of the standard system. In 2012–2023, the number of carbon emissions management standards witnessed a significant surge. China’s current carbon emissions management standards mainly focus on local and group standards, accounting and evaluation standards, and regional/project, product/equipment, and industry standards. These aspects highlight the distinctive characteristics of the system. This study also examines the inherent deficiencies in China’s carbon emissions management standard system, including the following: the absence of technical standards to reduce emissions effectively; redundancies in accounting standards that hinder the establishment of a nationwide unified system; the lack of an evaluation mechanism to assess the quality and effectiveness of standards; and inappropriate incentives solely focused on quantity, leading to a rapid proliferation of standards, among others. Future efforts should be made to improve standard quality and implementation evaluation, streamline the incentive mechanism for standards, and maximize the role of standards in achieving the “dual carbon” goal.
More
Translated text
Key words
carbon emissions,management standard,China,content analysis method
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined