Developing Digitalized Green and Low-Carbon Accounting: A Case Study of Guiyang City
- DOI
- 10.2991/978-94-6463-992-6_11How to use a DOI?
- Keywords
- digitalization; green and low-carbon account; carbon footprint; reduction of emission carbon
- Abstract
Guiyang, the capital of Guizhou province of China, as the first ecological civilization construction demonstration city in China, the first batch of low-carbon pilot cities, the core area of the National Big Data Comprehensive Pilot Zone, and China’s Digital Valley, should take advantage of the massive data processing capacity, accelerate the deep integration of digital technology and ecological environmental governance, and explore the establishment of a digitized green and low-carbon account, which will be used to record the carbon footprint, carbon emission right boundary and carbon reduction contribution of individuals, firms and other social subjects. Also, the account objectively and realistically reflects the city’s overall carbon emissions and the effectiveness of energy saving and carbon reduction, and quantify the amount of emission reduction to help all kinds of subjects understand the low-carbon core more concretely and actively practice low-carbon actions.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiulun Yang AU - Mohd Shahizan Othman AU - Limin Tian AU - Chaoyu Liang AU - Diao Qi AU - Dechun Wang PY - 2026 DA - 2026/02/20 TI - Developing Digitalized Green and Low-Carbon Accounting: A Case Study of Guiyang City BT - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) PB - Atlantis Press SP - 98 EP - 109 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-992-6_11 DO - 10.2991/978-94-6463-992-6_11 ID - Yang2026 ER -