代表论文(第一或通讯)
[1] Yan D, Kong Y, Jiang P, et al. How do socioeconomic factors influence urban PM2.5 pollution in China? Empirical analysis from the perspective of spatiotemporal disequilibrium [J]. Science of The Total Environment, 2021, 761:143266. (SCI & SSCI;JCR一区)
[2] Yan D, Ren X, Kong Y, et al. The heterogeneous effects of socioeconomic determinants on PM2. 5 concentrations using a two-step panel quantile regression[J]. Applied Energy, 2020, 272: 115246. (SCI & SSCI;JCR一区)
[3] Yan D, Kong Y, Ye B, et al. Spatio-temporal variation and daily prediction of PM2.5 concentration in the three world-class city clusters of China[J]. Environmental Geochemistry and Health, 2020. (SCI;JCR一区)
[4] Yan D, Kong Y, Ye B, et al. Spatial variation of energy efficiency based on a Super-Slack-Based Measure: Evidence from 104 resource-based cities[J]. Journal of Cleaner Production, 2019, 240: 117669. (SCI & SSCI,JCR一区)
[5] Yan D, Kong Y, Ren X, et al. The determinants of urban sustainability in Chinese resource-based cities: A panel quantile regression approach[J]. Science of the total environment, 2019, 686: 1210-1219. (SCI & SSCI,JCR一区)
[6] Yan D, Lei Y, Shi Y, et al. Evolution of the spatiotemporal pattern of PM2.5 concentrations in China–A case study from the Beijing-Tianjin-Hebei region[J]. Atmospheric Environment, 2018, 183: 225-233. (SCI & SSCI,JCR一区;ESI高被引论文)
[7] Yan D, Lei Y, Li L, et al. Carbon emission efficiency and spatial clustering analyses in China’s thermal power industry: Evidence from the provincial level[J]. Journal of Cleaner Production, 2017, 156: 518-527. (SCI & SSCI,JCR一区)
[8] Yan D, Lei Y, Li L. Driving factor analysis of carbon emissions in China’s power sector for low-carbon economy[J]. Mathematical Problems in Engineering, 2017.(SCI & SSCI,JCR三区)
[9]闫丹, 雷涯邻, 李莉. 环境约束下的中国资源型城市的能源效率研究[J]. 湖北师范大学学报(哲学社会科学版), 2018(6).
[10] Ji H, Tong H, Wang J, Yan D*, Zangyi Liao, Ying Kong. The effectiveness of travel restriction measures in alleviating the COVID-19 epidemic: evidence from Shenzhen, China[J]. Environmental Geochemistry and Health, 2021: 1-18. (SCI, JCR 一区)
[11] Han J, Miao J, Du G, Yan D*, Zhuang Miao. Can market-oriented reform inhibit carbon dioxide emissions in China? A new perspective from factor market distortion[J]. Sustainable Production and Consumption, 2021, 27: 1498-1513. (SSCI, JCR 二区)
国际会议
1. 2021.05,在山西太原参加第九届全国低碳发展管理年会暨第六届能源系统工程学术年会,并以“基于空间异方差视角的社会经济变化对城市PM2.5污染影响”为题作研究报告。(入选重要学术会议)
2. 2019.11,在中国香港参加清洁生产与可持续性国际会议,并以“The multiple effects of driving socioeconomic factors on PM2.5 concentrations”为题作研究报告。
3. 2019.08,在瑞典韦斯特罗斯参加第11届国际应用能源会议,并以“The multiple effects of socioeconomic determinants on PM2.5 concentrations using two-step panel quantile regression”为研究题目作海报展示。
4. 2019.07,在中国山东大学参加2019绿色金融和低碳经济国际研讨会,并以“The Determinants of Urban Sustainability in Chinese Resource-based cities: A Panel Quantile Regression approach”为题作研究报告。
5. 2019.07,在澳洲阿德莱德参加资源可持续性国际会议,作以“Energy Efficiency Analysis of China’s Resource-based Cities under Different Scenarios——Based on the Super-SBM Model”为题作研究报告。
6. 2017.08,在英国卡迪夫参加第九届国际应用能源会议,作以“The spatiotemporal pattern evolution of PM2.5 concentration in China—a case study from the Beijing-Tianjin-Hebei region”为题作研究报告。
7. 2016.12,在中国北京参加中国地质矿产经济学会青年分会,并以《基于环境效率的中国火电碳排放空间相关性分析》为题作研究报告。