王超 讲师
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
主持国家自然科学基金青年基金1项,参与完成多项国家级与国际合作课题,具体参与碳减排的社会经济代价、社区新型城镇化转型、资源环境评价与保护等研究项目,对地理信息系统、投入产出、因素分解、系统动力学等方法较为熟悉。目前在Renewable and Sustainable Energy Reviews、 Technological Forecasting & Social Change、Land Degradation & Development、 Journal of Cleaner Production等期刊发表SCI/SSCI论文30余篇,任land、forests等期刊客座编辑,Science of the Total Environment、Journal of Environmental Management、Ecological Informatics等期刊审稿人。
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.