Open Access
| Issue |
E3S Web Conf.
Volume 686, 2026
7th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2025)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 8 | |
| Section | Built Environment and Climate Resilience | |
| DOI | https://doi.org/10.1051/e3sconf/202668601011 | |
| Published online | 19 January 2026 | |
- He Jiankun. Low-carbon Transition of Energy and Economy under the Goal of Carbon Peak and Carbon Neutrality [J]. Environmental Economics Research, 2021,01:5-7. [Google Scholar]
- Project Comprehensive Report Writing Group. Comprehensive Report on China's Long-term Low- carbon Development Strategy and Transition Pathways [J]. China Population·Resources and Environment, 2020,30(11):1-25. [Google Scholar]
- Li J, He K, Wu C K. Research on interest games and coordination paths in the collaborative development of energy in Northeast China-Mengdong Region[R]. Beijing: Beijing Energy International Holding Co., Ltd., 2023. [Google Scholar]
- Liu Shijin. Implementing an Aggressive Carbon Reduction Strategy to Drive the Green Transition of Energy and Economy [R]. Beijing: Caixin Summer Summit, 2022-07-09. [Google Scholar]
- Tang Baojun, et al. “The Evolution of China’s Energy Economic Index from the Perspective of Coupling Coordination.” Journal of Beijing Institute of Technology (Social Sciences Edition), vol. 27, no. 2, 2025, pp.1-6 [Google Scholar]
- Wang Wenyin. Integrated Model for Ecological Protection, Restoration, and Construction in Qinghai Province [M]. Beijing: Science Press, 2024. [Google Scholar]
- Wei Xiaowen, Lu Dadao. Decoding the “Geographical Code” of China's Economy [J]. Science and Technology Innovation and Brand, 2019, No.146(08):21-23. [Google Scholar]
- Guo Jianbin. Research on the Deconstruction and Evaluation of Cross-Domain Ecological Environment Co-Governance Mechanisms [M]. Beijing: Economic Management Press, 2023. [Google Scholar]
- Jiao Wenting, Zhai Runnan, Xue Hong, et al. Evaluation of Coupling Coordination in the 3E System Across Nine Yellow River Provinces [J]. Coal Economic Research, 2024,44(12):120-131. [Google Scholar]
- Shao Shuai, Fan Meiting, Yang Lili. Economic Structure Adjustment, Green Technology Progress and China's Low-Carbon Transformation Development—An Empirical Study Based on the Perspective of Overall Technological Frontier and Spatial Spillover Effects [J]. Management World, 2022 (2):46-69. [Google Scholar]
- WANG Shuhe. Dynamic Coupling of Digital Economy and High-quality Energy Development and Its Emission Reduction Effect[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2025, 27(1): 75-87. [Google Scholar]
- WANG Linyu, CHEN Hao, CHEN Siyuan, WANG Yukun. Dynamic Evolution and Empirical Analysis of Coordinated and Coupling Development of Energy-Economy-Environment-Society at Urban Level—A Case Study of Jiangsu Province[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2022, 24(1): 51-64. [Google Scholar]
- Raworth K. Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist[M]. White River Junction: Chelsea Green Publishing, 2019. [Google Scholar]
- Diaz-Rainey et al. An Energy Policy for SEAN? Lessons from the EU Experience on Energy Integration, Security, and Decarbonization[R]. Asian Development Bank Institute, 2021:563 - 592. [Google Scholar]
- Nordhaus, William D. The Climate Casino: Risk, Uncertainty, and Economics for a Warming World[M]. New Haven, CT: Yale University Press, 2013. [Google Scholar]
- Hughes J, Strachan N, et al. How to avoid unjust energy transitions: insights from the Ruhr region[J]. Energy Research & Social Science, 2022, 88: 103456. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.