Selection of carbon emissions control industries in China: An approach based on complex networks control perspective
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DOI: 10.1016/j.techfore.2021.121030
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- Yongke Yuan & Yixing Wang & Yuanying Chi & Feng Jin, 2020. "Identification of Key Carbon Emission Sectors and Analysis of Emission Effects in China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
- Wang, Yafei & Liang, Sai, 2013. "Carbon dioxide mitigation target of China in 2020 and key economic sectors," Energy Policy, Elsevier, vol. 58(C), pages 90-96.
- Seo, Seongwon & Kim, Junbeum & Yum, Kwok-Keung & McGregor, James, 2015. "Embodied carbon of building products during their supply chains: Case study of aluminium window in Australia," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 160-166.
- Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
- Zhengzhong Yuan & Chen Zhao & Zengru Di & Wen-Xu Wang & Ying-Cheng Lai, 2013. "Exact controllability of complex networks," Nature Communications, Nature, vol. 4(1), pages 1-9, December.
- Liyin Shen & Yingli Lou & Yali Huang & Jindao Chen, 2018. "A driving–driven perspective on the key carbon emission sectors in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 349-371, August.
- Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2012. "Control Centrality and Hierarchical Structure in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
- Baležentis, Tomas & Butkus, Mindaugas & Štreimikienė, Dalia & Shen, Zhiyang, 2021. "Exploring the limits for increasing energy efficiency in the residential sector of the European Union: Insights from the rebound effect," Energy Policy, Elsevier, vol. 149(C).
- Wang, Zhen & Wei, Liyuan & Niu, Beibei & Liu, Yong & Bin, Guoshu, 2017. "Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach," Applied Energy, Elsevier, vol. 206(C), pages 1544-1551.
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Cited by:
- Wang, Zhenshuang & Xie, Wanchen & Zhang, Chengyi, 2023. "Towards COP26 targets: Characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission," Resources Policy, Elsevier, vol. 81(C).
- Ye, Lin & Dai, Binhua & Li, Zhuo & Pei, Ming & Zhao, Yongning & Lu, Peng, 2022. "An ensemble method for short-term wind power prediction considering error correction strategy," Applied Energy, Elsevier, vol. 322(C).
- Fang, Guochang & Huang, Meng & Zhang, Wenbin & Tian, Lixin, 2024. "Exploring global embodied carbon emissions transfer network—An analysis based on national responsibility," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- An Cheng & Xinru Han & Guogang Jiang, 2023. "Decomposition and Scenario Analysis of Factors Influencing Carbon Emissions: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
- Xu, Xinkuo & Li, Jingsi, 2023. "Can green bonds reduce the carbon emissions of cities in China?," Economics Letters, Elsevier, vol. 226(C).
- Chandrarin, Grahita & Sohag, Kazi & Cahyaningsih, Diyah Sukanti & Yuniawan, Dani, 2022. "Will economic sophistication contribute to Indonesia's emission target? A decomposed analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
- Yuan Yuan & Xintong Sun & Ning Liu, 2022. "Measuring structural characteristics and evolutionary patterns of an industrial carbon footprint network: A social network analysis approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 159-180, November.
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Keywords
Inter-industry carbon emissions transfer; Carbon emissions control industries; Carbon emissions transfer network; Complex networks control;All these keywords.
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