王超  讲师、硕士生导师

E-mail：wangc@cueb.edu.cn

研究方向：人口、资源与环境；碳达峰与碳中和；数字经济与居民消费

　　

一、教育背景

2017.9-2022.6  北京师范大学 硕博连读

2013.9-2017.7  中国地质大学（北京） 双学位学士

二、工作经历

2022.7至今   首都经济贸易大学劳动经济学院 教师

三、科学研究

主要围绕碳达峰与碳中和方向开展研究，主持国家自然科学基金青年基金1项，参与完成国家重点研发计划、重点项目、国家社会科学基金、第二次青藏科考等课题多项，擅长用土地生态学、土地资源管理、环境科学、地理信息系统、产业经济学等理论方法解决实际问题。H指数为22(Scopus ID: 57203356147)，已发表Renewable and Sustainable Energy Reviews、 Technological Forecasting & Social Change、Land Degradation & Development、生态学杂志等SCI/SSCI/中文核心论文40余篇，组织期刊特刊4次，出版编著2部，参与出版教材1部。现任自然资源学会资源流动与管理专委会委员，Forests、Land等期刊客座编辑，Journal of Environmental Management、Ecological Indicators等期刊审稿人，主讲《双碳目标与社会经济变革（全英文）》、《人资环学科专业英语》等课程。

四、研究成果

[1] Wang, C., Yang, Y., Bai, Y., Teng, Y., &Zhan, J. (2024). Land use data can improve the accuracy of carbon emission spatial inversion model. Land Degradation & Development, 1–22.

[2] Wang, C., Wang, X., Wang, Y., Zhan, J*., et al. 2023. Spatiotemporal analysis of human wellbeing and its coupling relationship with ecosystem services in Shandong Province, China. Journal of Geographical Sciences. 33(2): 392-412

[3] Zhan J, Wang C*, Wang H, Zhang F, Li Z. 2024. Pathways to achieve carbon emission peak and carbon neutrality by 2060: A case study in the Beijing-Tianjin-Hebei region, China. Renewable and Sustainable Energy Reviews, 189, 113955.

[4] Wang, C., Zhan, J*., Wang, H., et al. 2022. Multi-group analysis on the mechanism of residents' low-carbon behaviors in Beijing, China. Technological Forecasting and Social Change, 183: 121956.

[5] Wang, C., Wang L.Y., Zhan, J*., et al. 2022. Spatial heterogeneity of urbanization impacts on ecosystem services in the urban agglomerations along the Yellow River, China. Ecological Engineering 182. 106717.

[6] Wang, C., Zhan, J*., Xin Z., 2020. Comparative analysis of urban ecological management models incorporating low-carbon transformation. Technological Forecasting & Social Change 159, 120190.

[7] Wang, C., Zhan, J*, Zhang, F., et al. 2021. Analysis of urban carbon balance based on land use dynamics in the Beijing-Tianjin-Hebei region, China. Journal of Cleaner Production.281, 125138.

[8] Wang, C., Zhan, J*., Bai, Y., et al. 2019. Measuring carbon emission performance of industrial sectors in the Beijing-Tianjin-Hebei region, China: A stochastic frontier approach. Science of the Total Environment 685, 786-794.