EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 385 (2023) E3S Web Conf., 385 (2023) 02003 References
Open Access
Issue
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
Article Number 02003
Number of page(s) 6
Section Green Chemical Technology and Energy Saving and Emission Reduction
DOI https://doi.org/10.1051/e3sconf/202338502003
Published online 04 May 2023
  1. Zhao Liming, Yin Jian. Study on the second-layer planning decision model of carbon emission reduction under the carbon trading and carbon tax scenario [J]. Management Science, 2016,29 (1): 137–146. [Google Scholar]
  2. W.M.O. Statement on the State of the Global Climate in 2018 [R]. World Meteorological Organization, 2019. [Google Scholar]
  3. van der Ploeg, F. The safe carbon budget [J]. Climatic Change, 2018, 147(1): 47–59. [CrossRef] [Google Scholar]
  4. Chai Qimin, Fu Sha, Wen Xinyuan. Pathway study on implementing nationally independent contributions in China [J]. Environmental and Economic Research, 2019,4 (2): 110–124. [Google Scholar]
  5. Schneider, L, La Hoz, Theuer S, Howard, A., et al. Outside in? Using international carbon markets for mitigation not covered by nationally determined contributions (NDCs) under the Paris Agreement [J]. Climate Policy, 2020, 20(1): 18–29. [CrossRef] [Google Scholar]
  6. Wang Weining, Chen Wenying. Uncertainty analysis of the carbon quota of various countries under the global 2 C temperature rise target [J]. China's Population, resources and Environment, 2015,6:30–36. [Google Scholar]
  7. Chen Nan, Lin Xuanchen. Global emission reduction uncertainty studies based on national NDC / INDC targets [J]. Progress in Climate Change Research, 2021,17 (2): 223–235. [Google Scholar]
  8. Duan, M, Qi, S, Wu, L. Designing China’s national carbon emissions trading system in a transitional period [J]. Climate Policy, 2018, 18(sup 1), 1–6. [CrossRef] [Google Scholar]
  9. Zhang Jihong, Zhi Ruoping, Qi Shaozhou. Coverage and Industry Selection of China's carbon emission trading market- -Multi-objective Optimization Method [J]. Journal of China University of Geosciences: Social Sciences edition, 2019,19 (1): 34–45. [Google Scholar]
  10. Qi, S, Cheng, S. China’s national emissions trading scheme: Integrating cap, coverage and allocation [J]. Climate Policy, 2018, 18(sup1): 45–59. [CrossRef] [Google Scholar]
  11. Lin, B, Jia, Z. Why do we suggest small sectoral coverage in China’s carbon trading market? [J]. Journal of Cleaner Production, 2020, 257: 120557. [CrossRef] [Google Scholar]
  12. Fan Ying. Top-level design of China's carbon market: policy objectives and economic impact [J]. Environmental and Economic Research, 2018.3 (1): 1–7. [Google Scholar]
  13. Pan, X, den Elzen, M, Höhne, N, et al. Exploring fair and ambitious mitigation contributions under the Paris Agreement goals [J]. Environmental Science & Policy, 2017, 74: 49–56. [CrossRef] [Google Scholar]
  14. Yang Zewei. Carbon emission right: a new right to development [J]. Journal of Zhejiang University (Humanities and Social Sciences edition), 2011,41 (3): 40–49. [Google Scholar]
  15. Zhu Qianting, Wu Jing, Haiti, et al. Simulation Study on Global Carbon emission quota Allocation in Post- Kyoto Era [J]. Journal of Environmental Science, 2015,35 (1): 329–336. [Google Scholar]
  16. Wang Huihui, Liu Hengchen, He Xiaojia, et al. Research based on intergenerational equity [J]. Chinese Environmental Science, 2016,36 (6): 1895–1904. [Google Scholar]
  17. Fang Kai, Zhang Qifeng, Ye Rick, et al. Study on inter-provincial carbon emission Distribution under the Paris Agreement [J]. Journal of Environmental Science, 2018,38 (3): 1224–1234. [Google Scholar]
  18. Lin, S, Wang, B, Wu, W, et al. The potential influence of the carbon market on clean technology innovation in China [J]. Climate Policy, 2018, 18(sup1): 71–89. [CrossRef] [Google Scholar]
  19. Hjalsted, A W, Laurent, A, Andersen, M M, et al. Sharing the safe operating space: Exploring ethical allocation principles to operationalize the planetary boundaries and assess absolute sustainability at individual and industrial sector levels [J]. Journal of Industrial Ecology, 2021, 25(1): 6–19. [CrossRef] [Google Scholar]
  20. Qi Shaozhou, Zhang Zhenyuan. European Union carbon emission trading, quota allocation and renewable energy technology innovation [J]. World Economic Research, 2019 (9): 119–133. [Google Scholar]
  21. Leining, C, Kerr, S, Bruce-Brand, B. The New Zealand Emissions Trading Scheme: critical review and future outlook for three design innovations [J]. Climate Policy, 2020, 20(2): 246–264. [CrossRef] [Google Scholar]
  22. Blyth, W, Bunn, D. Coevolution of policy, market and technical price risks in the EU ETS [J]. Energy Policy, 2011, 39(8): 4578–4593. [CrossRef] [Google Scholar]
  23. Wei and Chu. Marginal reduction of Chinese urban CO2 emission reduction cost and its influencing factors [J]. The World Economy, 2014,7:115–141. [Google Scholar]
  24. Morris, J, Paltsev, S, Reilly, J. Marginal abatement costs and marginal welfare costs for greenhouse gas emissions reductions: results from the EPPA model [J]. Environmental Modeling & Assessment, 2012, 17(4): 325–336. [CrossRef] [Google Scholar]
  25. Jiang Weijie, Zhang Shaohua. Robust estimation and emission reduction policy of shadow carbon dioxide in China [J]. Managing World, 2018,34 (7): 32–49. [Google Scholar]
  26. Wang, A, Hu, S, Lin, B. Emission abatement cost in China with consideration of technological heterogeneity [J]. Applied Energy, 2021, 290: 116748. [CrossRef] [Google Scholar]
  27. Duan Hongbo, Zhu Lei, Fan Ying. Cost Evolution and Technology Diffusion Analysis of Carbon Capture and Storage Technology in China-Integrated Integrated Technology Model of China's Energy Economy [J]. System Engineering Theory and Practice, 2015,35 (2): 333–341. [Google Scholar]
  28. Cui Lianbiao, Fan Ying, Zhu Lei, et al. Research on the cost-saving effect of carbon emission trading on realizing China's 12th Five-Year Plan emission reduction target [J]. China Management Science, 2013 (1): 37–46. [Google Scholar]
  29. Yang Zihui, Chen Lixuan, Luo Tong. Marginal emission reduction cost and regional differences study [J]. Journal of Management Science, 2019,22 (2): 1–21. [Google Scholar]
  30. Okagawa, A, Ban, K. Estimation of substitution elasticities for CGE models [J]. Discussion Papers in Economics and Business, 2008, 16. [Google Scholar]
  31. Zhou, P, Zhang, L, Zhou, D Q, et al. Modeling economic performance of interprovincial CO2 emission reduction quota trading in China [J]. Applied Energy, 2013, 112: 1518–1528. [CrossRef] [Google Scholar]
  32. Fang Kai, Li Shuai, Ye Rick, et al. New progress in Global Climate Governance in — region [J]. Journal of Ecology, 2020,40 (1): 10–23. [Google Scholar]
  33. Yu, S, Zheng, S, Li, X, et al. China can peak its energy-related carbon emissions before 2025: evidence from industry restructuring [J]. Energy Economics, 2018, 73: 91–107. [CrossRef] [Google Scholar]
  34. Qian, H, Zhou, Y, Wu, L. Evaluating various choices of sector coverage in China’s national emissions trading system (ETS) [J]. Climate Policy, 2018, 18(sup1): 7–26. [CrossRef] [Google Scholar]
  35. Zhou, P, Zhang, L, Zhou, D Q, et al. Modeling economic performance of interprovincial CO2 emission reduction quota trading in China [J]. Applied Energy, 2013, 112: 1518–1528. [CrossRef] [Google Scholar]
  36. Chang, K, Zhang, C, Chang, H. Emissions reduction allocation and economic welfare estimation through interregional emissions trading in China: Evidence from efficiency and equity [J]. Energy, 2016, 113: 1125–1135. [CrossRef] [Google Scholar]
  37. Cui, L B, Fan, Y, Zhu, L, et al. How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target? [J]. Applied Energy, 2014, 136: 1043–1052. [CrossRef] [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.