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唐妙涵
2024-09-06  点击:[]

唐妙涵  博士

研究专长:城市资源管理与政策研究,建设项目代谢, 城市复杂系统分析及建模

邮箱:miaohan.tang@zufe.edu.cn

研究主页:https://www.researchgate.net/profile/Miaohan-Tang

教育背景

2018.09–2022.09   重庆大学                             博士

2021.04–2022.04   荷兰格罗宁根大学             访问学者

2015.09–2018.06   重庆大学                             硕士                                  

2011.09-2015.06   西南科技大学                     学士  

工作经历

2024.08-至今  浙江财经大学      讲师

2022.11–2024.06   美国西北大学                   博士后

 

发表论文及专著

[1]Liu, W., Tang, M., Kuebbing, S. Background paper: bioenergy from forests. February 2024. The Forests Dialogue.

[2]Tang, M., Hong, J.*, Guo, S., Liu, G., & Shen, G. Q (2021). A bibliometric review of urban energy metabolism: Evolutionary trends and the application of network analytical methods. Journal of Cleaner Production (IF=11.072), 279, 123403. DOI: 10.1016/j.jclepro.2020.123403

[3]Tang, M., Hong, J.*, Wang, X., & He, R (2020). Sustainability accounting of neighborhood metabolism and its applications for urban renewal based on emergy analysis and SBM-DEA. Journal of Environmental Management (IF=8.91), 275, 111177. DOI: 10.1016/j.jenvman.2020.111177

[4]Huo, T., Tang, M., Cai, W.*, Ren, H., Liu, B., & Hu, X (2020). Provincial total-factor energy efficiency considering floor space under construction: An empirical analysis of China's construction industry. Journal of Cleaner Production (IF=11.072), 244: 11. DOI: 10.1016/j.jclepro.2019.118749

[5]Yuan, F., Tang, M.*, & Hong, J (2020). Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering Construction and Architectural Management (IF=3.85), 27(7):1533-52. DOI: 10.1108/ecam-10-2019-0564

[6]Chen, Y., Hong, J.*, Tang, M., Zheng, Y., Qiu, M., & Ni, D (2022). Causal complexity of environmental pollution in China: A province-level fuzzy-set qualitative comparative analysis. Environmental Science and Pollution Research (IF=5.19),1-17. DOI: 10.1007/s11356-022-22948-3

[7]Wen, Q., Hong, J.*, Liu, G., Xu, P., Tang, M., & Li, Z, (2020). Regional efficiency disparities in China’s construction sector: A combination of multiregional input-output and data envelopment analyses. Applied Energy (IF= 11.446), 257: 113964. DOI: 10.1016/j.apenergy.2019.113964

[8]Tang, M., Hong, J.*, Liu, G. & Shen, G. Q (2019). Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach. Energy (IF= 7.147) 170, 1191-1201. DOI: 10.1016/j.energy.2018.12.164

[9]Hong, J.*, Tang, M., Wu, Z., Miao, Z., & Shen, G. Q (2019). The evolution of patterns within embodied energy flows in the Chinese economy: a multi-regional-based complex network approach. Sustainable Cities and Society (IF=10.696), 47:101500. DOI: 10.1016/j.scs.2019.101500

[10]Guo, S., Zheng, S., Hu, Y., Hong, J. *, Wu, X., & Tang M (2019). Embodied energy use in the global construction industry. Applied Energy (IF=11.446, 256: 113838. DOI: 10.1016/j.apenergy.2019.113838

[11]唐妙涵, 霍腾飞,任宏,宋向南,高景鑫(2018). 基于CVM的建筑废弃物回收利用非市场价值评估. 系统工程理论与实践 (重要期刊), 38(05):1227-1235. DOI: 10.12011/1000-6788(2018)05-1227-09

[12]Hong J, Shen G Q, Tang M. Current Approaches for Embodied Carbon Assessment of Buildings in China: An Overview[M]. Embodied Carbon in Buildings. 2018.

科研项目

[1]2022-2024Accounting for end-of-life degradation in plastic LCA,美国自然科学基金,主研人员

[2]2022-2025,建设工程项目资源代谢多重复杂性的形成机理、测度模式与作用机制研究,国家自科面上项目,第四主研人

[3]2020-2022,中国能耗传导路径及作用机理研究:部门区域视角下的动态复杂网络分析,重庆市研究生科研创新项目,主持人

[4]2020-2021,中国区域能耗传导路径及作用机理研究,中央高校基本科研业务费专项项目,主持人

[5]2019-2021,建设项目物化能耗区域间作用机制与差异化测度模型研究,国家自然科学基金青年项目,第三主研人

[6]2021-2023,成渝城市群生态系统协同耦合机理与演化动力机制研究,重庆市自科基金面上项目,第四主研人

[7]2022-2024,村镇可持续更新与绿色建造关键技术研究,重庆市科技局面上项目,第五主研人

[8]2023-2025,土地财政转型视角下城市蔓延响应特征及治理策略研究,国家自然科学基金面上项目,参研人

参与会议

[1]Tang, M., Dahnke, Ava, Ziemann, Sarah. Holistic design of sustainable polymers. Annual meeting of Center for Sustainable Polymers,明里苏达,美国,2023.

[2]Tang M., Hong J. 工程管理青年学者论坛,兰州,2020.

[3]Tang M., Hong J. Embodied energy flows between China’s industrial sectors: A combination of multi-regional input-output analysis and complex network approach. China’s New Urban Agenda: An International Dialogue on Sustainable Development, 曼彻斯特,英国,2018.

[4]Tang M., Hong J. Investigating aggregate industrial efficiency of China’s construction industry based on super efficiency data envelopment analysis. 世界华人不动产2018年年会,青岛,2018.