Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
digital economy; low-carbon transition; TOE framework; energy efficiency and emission reduction; carbon neutrality
Document Type
Policy & Management Research
Abstract
The booming development of the digital economy has provided robust technical, management, and institutional means for the in-depth promotion of low-carbon transition. However, at present, there are still problems, such as the limited level of digital technological innovation, the insufficient supply of digital talents, and the urgent need for a sound digital governance system, which constrains the empowering effect of the digital economy on the development of China’s low-carbon transition. Based on the Technology-Organization-Environment (TOE) framework, this study discusses the technology iteration, management transform, and system optimization of the influence of digital economy on the development of low carbon transformation. It also elaborates on the critical role of the digital economy in developing a low-carbon transition. Policy suggestions are put forward for promoting the development of the digital economy in China to help realize the “dual carbon” goals.
First page
1047
Last Page
1059
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
References
1 Liu Z, Deng Z, He G, et al. Challenges and opportunities for carbon neutrality in China. Nature Reviews Earth & Environment, 2021, 3(2): 141-155.
2 Yang Y T, Qu S, Cai B F, et al. Mapping global carbon footprint in China. Nature Communications, 2020, 11: 2237.
3 周小亮, 宋立. 中国工业低碳转型:现实分析与政策思考. 数量经济技术经济研究, 2022, 39(8): 22-41.Zhou X L, Song L. Low-carbon transformation of China’s industry: Realistic analysis and policy thinking. Journal of Quantitative & Technological Economics, 2022, 39(8): 22-41. (in Chinese)
4 Tapscott D. The Digital Economy: Promise and Peril in the Age of Networked Intelligence. New York: McGraw-Hill, 1997.
5 陈晓红, 李杨扬, 宋丽洁, 等. 数字经济理论体系与研究展望. 管理世界, 2022, 38(2): 208-224.Chen X H, Li Y Y, Song L J, et al. Theoretical framework and research prospect of digital economy. Journal of Management World, 2022, 38(2): 208-224. (in Chinese)
6 江小涓, 靳景. 数字技术提升经济效率:服务分工、产业协同和数实孪生. 管理世界, 2022, 38(12): 9-26.Jiang X J, Jin J. Digital technology promotes economic efficiency: Labor division of service, industrial synergy and digital-real twins. Journal of Management World, 2022, 38(12): 9-26. (in Chinese)
7 史丹. 数字经济条件下产业发展趋势的演变. 中国工业经济, 2022, (11): 26-42. Shi D. Evolution of industrial development trend under digital economy. China Industrial Economics, 2022, (11): 26-42. (in Chinese)
8 中国信息通信研究院.全球数字经济白皮书(2022年). (2022-12-07)[2023-08-06]. http://www.caict.ac.cn/kxyj/qwfb/bps/202212/P020221207397428021671.pdf.China Academy of Information and Communications Technology. Global Digital Economy White Papers. (2022-12-07)[2023-08-06]. http://www.caict.ac.cn/kxyj/qwfb/bps/202212/P020221207397428021671.pdf.(in Chinese)
9 中国信息通信研究院, 工业互联网产业联盟. 数字技术赋能工业碳达峰碳中和应用指南V1.0. (2022-05-19)[2023-08-06]. https://aii-alliance.org/uploads/1/20220519/c3649f9c8d630758bc974e58f56a6281.pdf.CAICT, Alliance of Industrial Internet. Digital technology enabling industrial carbon peak carbon neutrality application guidelines. V1.0. (2022-05-19)[2023-08-06]. https://aii-alliance.org/uploads/1/20220519/c3649f9c8d630758bc974e58f56a6281.pdf.(in Chinese)
10 宁吉喆. 中国式现代化的方向路径和重点任务. 管理世界, 2023, 39(3): 1-19.Ning J Z. The direction, route and key tasks of a Chinese path to modernization. Journal of Management World, 2023, 39(3): 1-19. (in Chinese)
11 厉以宁, 朱善利, 罗来军, 等. 低碳发展作为宏观经济目标的理论探讨——基于中国情形. 管理世界, 2017, 33(6): 1-8.Li Y N, Zhu S L, Luo L J, et al. Theoretical discussion on low-carbon development as macro-economic goal—based on the situation in China. Journal of Management World, 2017, 33(6): 1-8. (in Chinese)
12 中国信息通信研究院. 数字碳中和白皮书. (2021-12-20)[2023-08-06]. http://www.caict.ac.cn/kxyj/qwfb/bps/202112/P020211220632111694171.pdf. CAICT. Digital Carbon Neutrality White Papers. (2021-12-20)[2023-08-06]. http://www.caict.ac.cn/kxyj/qwfb/bps/202112/P020211220632111694171.pdf.(in Chinese)
13 Tornatzky L G, Fleischer M. The Processes of Technological Innovation. Lexington: Lexington Books, 1990.
14 赵志君, 庄馨予. 中国人工智能高质量发展:现状、问题与方略. 改革, 2023, (9): 11-20. Zhao Z J, Zhuang X Y. High-quality development od artificial intelligence in China: Current situation, problems and strategies. Reform, 2023, (9): 11-20. (in Chinese)
15 国家统计局, 科学技术部, 财政部. 2021年全国科技经费投入统计公报. (2022-08-31)[2023-08-06]. http://www.stats.gov.cn/sj/zxfb/202302/t20230203_1901565.html.National Bureau of Statistics, Ministry of Science and Technology, Ministry of Finance. National Statistical Bulletin on Investment in Science & Technology (2021). (2022-08-31)[2023-08-06]. http://www.stats.gov.cn/sj/zxfb/202302/t20230203_1901565.html.(in Chinese)
16 工业和信息化部. “十四五”信息化和工业化深度融合发展规划. (2021-11-17)[2023-08-06]. https://www.gov.cn/zhengce/zhengceku/2021-12/01/5655208/files/c09d992d37384268a73a201ef284909e.pdf.Ministry of Industrial and Information Technology. Development plan for the deep integration of informatization and industrialization in the Fourteenth Five-Year Plan. (2021-11-17)[2023-08-06]. https://www.gov.cn/zhengce/zhengceku/2021-12/01/5655208/files/c09d992d37384268a73a201ef284909e.pdf.(in Chinese)
17 阿里研究院, 智谱AI. 2023全球数字科技技术发展研究报告. (2023-05-11)[2023-08-06]. https://static.aminer.cn/misc/pdf/2023%20Global%20Gigital%20Technology%20Development%20Rresearch%20Report.pdf.ResearchAli, Zhipu AI. Global Digital Technology Development Research Report 2023. (2023-05-11)[2023-08-06]. https://static.aminer.cn/misc/pdf/2023%20Global%20Gigital%20Technology%20Development%20Rresearch%20Report.pdf.(in Chinese)
18 Kaack L H, Donti P L, Strubell E, et al. Aligning artificial intelligence with climate change mitigation. Nature Climate Change, 2022, 12: 518-527.
19 Langie K M G, Tak K, Kim C, et al. Toward economical application of carbon capture and utilization technology with near-zero carbon emission. Nature Communications, 2022, 13: 7482.
20 落基山研究所, 百度智能云. 数智碳中和——以数智技术助力关键相关方实现碳达峰碳中和. (2022-04-01)[2023-08-06]. https://www.vztimes.com/uploadfile/10/image/20220401/20220401215934_21078.pdf.Rocky Mountain Institute, Baidu AI Cloud. Digital intelligence for carbon neutrality: Enabling key stakeholders to achieve peak carbon and carbon neutrality with digital intelligence technology. (2022-04-01)[2023-08-06]. https://www.vztimes.com/uploadfile/10/image/20220401/20220401215934_21078.pdf.(in Chinese)
21 Ding T, Li J Y, Shi X, et al. Is artificial intelligence associated with carbon emissions reduction? Case of China. Resources Policy, 2023, 85: 103892.
22 国网能源研究院有限公司. 能源数字化转型白皮书(2021). (2022-03-29)[2023-09-04]. https://download.s21i.faiusr.com/13115299/0/1/ABUIABA9GAAgp-WLkgYos-X59gY.pdf.State Grid Energy Research Institute CO., Ltd. Energy digital transformation white paper (2021). (2022-03-29)[2023-09-04]. https://download.s21i.faiusr.com/13115299/0/1/ABUIABA9GAAgp-WLkgYos-X59gY.pdf.(in Chinese)
23 韩晶, 陈曦, 冯晓虎. 数字经济赋能绿色发展的现实挑战与路径选择. 改革, 2022, (9): 11-23.Han J, Chen X, Feng X H. The real challenge and path of enabling green development of digital economy. Reform, 2022, (9): 11-23. (in Chinese)
24 Li Y, Wang R N, Li Y Z, et al. Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach. Applied Energy, 2023, 329: 120291.
25 清华经管学院互联网发展与治理研究中心, 领英中国. 中国经济的数字化转型:人才与就业. (2017-11-01)[2023-08-06]. https://economicgraph.linkedin.com/content/dam/me/economicgraph/en-us/download/china-digital-economy-talent-report.pdf.Tsinghua SEM Center for Internet Development and Governance, ChinaLinkedin. Digital transformation of China’s economy: Talent and employment. (2017-11-01)[2023-08-06].https://economicgraph.linkedin.com/content/dam/me/economicgraph/en-us/download/china-digital-economy-talent-report.pdf.(in Chinese)
26 焦豪. 双碳目标下国有企业数字化战略变革的模式、路径及保障机制研究. 北京工商大学学报(社会科学版), 2022, 37(3): 10-22.Jiao H. The pattern, path and guarantee mechanism of SOEs’ digital strategic change under the goals of carbon peaking and carbon neutrality. Journal of Beijing Technology and Business University(Social Sciences), 2022, 37(3): 10-22. (in Chinese)
27 叶强, 高超越, 姜广鑫. 大数据环境下我国未来区块链碳市场体系设计. 管理世界, 2022, 38(1): 229-249.Ye Q, Gao C Y, Jiang G X. The structure design of China blockchain carbon market for the future big data environment. Journal of Management World, 2022, 38(1): 229-249. (in Chinese)
28 Global e-Sustainability Initiative. SMARTer2030: ICT solutions for 21st century challenges. [2024-06-10]. https://smarter2030.gesi.org/downloads/Full_report.pdf.
29 Kurniawan T A, Othman M H D, Liang X, et al. Decarbonization in waste recycling industry using digitalization to promote net-zero emissions and its implications on sustainability. Journal of Environmental Management, 2023, 338: 117765.
30 Ang Y Q, Berzolla Z M, Letellier-Duchesne S, et al. Carbon reduction technology pathways for existing buildings in eight cities. Nature Communications, 2023, 14: 1689.
31 Watari T, Cao Z, Hata S, et al. Efficient use of cement and concrete to reduce reliance on supply-side technologies for net-zero emissions. Nature Communications, 2022, 13: 4158.
32 Hu Y S, Li J G, Hong M N, et al. Industrial artificial intelligence based energy management system: Integrated framework for electricity load forecasting and fault prediction. Energy, 2022, 244: 123195.
33 Thirunavukkarasu M, Sawle Y, Lala H. A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques. Renewable and Sustainable Energy Reviews, 2023, 176: 113192.
34 潘家华, 张坤. 碳中和进程中经济社会能源系统性变革的多赢动能研究. 经济体制改革, 2023, (3): 5-14.Pan J H, Zhang K. The multi-win driving forces of the systematic transformation of economic, social and energy in the carbon neutrality process. Reform of Economic System, 2023(3): 5-14. (in Chinese)
35 Du Y N, Zhou J, Bai J C, et al. Breaking the resource curse: The perspective of improving carbon emission efficiency based on digital infrastructure construction. Resources Policy, 2023, 85: 103842.
36 Lee C C, He Z Y, Yuan Z H. A pathway to sustainable development: Digitization and green productivity. Energy Economics, 2023, 124: 106772.
37 Jiang Z, Zhang X, Zhao Y, et al. The impact of urban digital transformation on resource sustainability: Evidence from a quasi-natural experiment in China. Resources Policy, 2023, 85: 103784.
38 Hao X L, Li Y H, Ren S Y, et al. The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter?. Journal of Environmental Management, 2023, 325(Pt A): 116504.
39 Zhang J N, Lyu Y W, Li Y T, et al. Digital economy: An innovation driving factor for low-carbon development. Environmental Impact Assessment Review, 2022, 96: 106821.
40 Yi M, Liu Y F, Sheng M S, et al. Effects of digital economy on carbon emission reduction: New evidence from China. Energy Policy, 2022, 171: 113271.
41 Ran Q Y, Yang X D, Yan H C, et al. Natural resource consumption and industrial green transformation: Does the digital economy matter?. Resources Policy, 2023, 81: 103396.
42 Kaufman N, Barron A R, Krawczyk W, et al. A near-term to net zero alternative to the social cost of carbon for setting carbon prices. Nature Climate Change, 2020, 10: 1010-1014.
43 Böhringer C, Rivers N. The energy efficiency rebound effect in general equilibrium. Journal of Environmental Economics and Management, 2021, 109: 102508.
44 国务院发展研究中心市场经济研究所课题组, 王微, 邓郁松, 等. 新一轮技术革命与中国城市化2020—2050——影响、前景与战略. 管理世界, 2022, 38(11): 12-28.Research Group of the Market Economy Research Institute, Development Research Center of the State Council. New technological revolution and China’s urbanization 2020-2050: Impact, prospect and strategy. Journal of Management World, 2022, 38(11): 12-28. (in Chinese)
45 Liu Y, Tian L X, Sun H P, et al. Option pricing of carbon asset and its application in digital decision-making of carbon asset. Applied Energy, 2022, 310: 118375.
Recommended Citation
WEI, Wendong; SUN, Yang; LIU, Bei; WANG, Hui; and GENG, Yong
(2024)
"A pathway for digital economy to enable the development of low-carbon transition under “Technology-Organization-Environment” framework,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39
:
Iss.
6
, Article 9.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20230807001
Available at:
https://bulletinofcas.researchcommons.org/journal/vol39/iss6/9
Included in
Artificial Intelligence and Robotics Commons, Economic Policy Commons, Science and Technology Policy Commons, Sustainability Commons