Greening China’s digital economy: exploring the contribution of the East–West Computing Resources Transmission Project to CO2 reduction
Xuemei Xie,
Yuhang Han (hanyuhang@tongji.edu.cn) and
Hao Tan
Additional contact information
Xuemei Xie: Tongji University
Yuhang Han: Tongji University
Hao Tan: Nottingham University Ningbo
Palgrave Communications, 2024, vol. 11, issue 1, 1-15
Abstract:
Abstract China’s East–West Computing Resources Transmission Project (EWCRT Project) is a unique and innovative path toward developing China’s green digital economy. The EWCRT Project consists of building transregional digital infrastructure, including eight data center hubs and 10 data center clusters across China. Our estimations indicate that the EWCRT Project could result in a reduction of 2125 metric tons (Mt) of CO2 between 2020 and 2050. Combined with other improvement measures, such as an increase in power usage effectiveness (PUE) and a boost in the use of green electricity in these data centers, the project could result in a reduction of 9500 Mt of carbon emissions over the next three decades. Recognizing the heterogeneous makeup of data centers in general, it is crucial to identify diverse strategies that can transform each into “green engines” for the digital economy. Therefore, in this study, we use fuzzy-set qualitative comparative analysis (fsQCA) to characterize the complex conditions of different data center configurations. By doing so, we highlight differentiated strategies for data centers to support the greening of the digital economy.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-02963-0 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02963-0
Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about
DOI: 10.1057/s41599-024-02963-0
Access Statistics for this article
More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).