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Dan Yan
Dan Yan
Zhejiang University of Technology
在 cugb.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Evolution of the spatiotemporal pattern of PM2. 5 concentrations in China–A case study from the Beijing-Tianjin-Hebei region
D Yan, Y Lei, Y Shi, Q Zhu, L Li, Z Zhang
Atmospheric Environment 183, 225-233, 2018
2362018
Carbon emission efficiency and spatial clustering analyses in China’s thermal power industry: Evidence from the provincial level
D Yan, Y Lei, L Li, W Song
Journal of Cleaner Production 156, 518-527, 2017
1962017
The determinants of urban sustainability in Chinese resource-based cities: A panel quantile regression approach
D Yan, Y Kong, X Ren, Y Shi, SW Chiang
Science of the total environment 686, 1210-1219, 2019
1412019
Impacts of city size change and industrial structure change on CO2 emissions in Chinese cities
L Li, Y Lei, S Wu, C He, J Chen, D Yan
Journal of Cleaner Production 195, 831-838, 2018
942018
The heterogeneous effects of socioeconomic determinants on PM2. 5 concentrations using a two-step panel quantile regression
D Yan, X Ren, Y Kong, B Ye, Z Liao
Applied Energy 272, 115246, 2020
872020
Study on the coordinated development of economy, environment and resource in coal-based areas in Shanxi Province in China: Based on the multi-objective optimization model
L Li, Y Lei, S Wu, C He, D Yan
Resources Policy 55, 80-86, 2018
762018
Impacts of urbanization process on PM2. 5 pollution in" 2+ 26" cities
X Luo, K Sun, L Li, S Wu, D Yan, X Fu, H Luo
Journal of Cleaner Production 284, 124761, 2021
722021
Spatial variation of energy efficiency based on a Super-Slack-Based Measure: Evidence from 104 resource-based cities
D Yan, Y Kong, B Ye, Y Shi, X Zeng
Journal of Cleaner Production 240, 117669, 2019
722019
Decoupling analysis between economic growth and resources environment in Central Plains Urban Agglomeration
H Luo, L Li, Y Lei, S Wu, D Yan, X Fu, X Luo, L Wu
Science of the Total Environment 752, 142284, 2021
712021
Public health effect and its economics loss of PM2. 5 pollution from coal consumption in China
H Chen, L Li, Y Lei, S Wu, D Yan, Z Dong
Science of the Total Environment 732, 138973, 2020
612020
Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model
H Li, D Yan, Z Zhang, E Lichtfouse
Environmental Chemistry Letters 17, 1397-1404, 2019
602019
Can market-oriented reform inhibit carbon dioxide emissions in China? A new perspective from factor market distortion
J Han, J Miao, G Du, D Yan, Z Miao
Sustainable Production and Consumption 27, 1498-1513, 2021
552021
How do socioeconomic factors influence urban PM2. 5 pollution in China? Empirical analysis from the perspective of spatiotemporal disequilibrium
D Yan, Y Kong, P Jiang, R Huang, B Ye
Science of The Total Environment 761, 143266, 2021
412021
The health economic loss of fine particulate matter (PM2. 5) in Beijing
L Li, Y Lei, S Wu, J Chen, D Yan
Journal of Cleaner Production 161, 1153-1161, 2017
362017
Exploring the real contribution of socioeconomic variation to urban PM2. 5 pollution: New evidence from spatial heteroscedasticity
D Yan, X Ren, W Zhang, Y Li, Y Miao
Science of the Total Environment 806, 150929, 2022
332022
The economic loss of health effect damages from PM2.5 pollution in the Central Plains Urban Agglomeration
X Fu, L Li, Y Lei, S Wu, D Yan, X Luo, H Luo
Environmental Science and Pollution Research 27, 25434-25449, 2020
302020
Driving Factor Analysis of Carbon Emissions in China’s Power Sector for Low‐Carbon Economy
D Yan, Y Lei, L Li
Mathematical Problems in Engineering 2017 (1), 4954217, 2017
272017
How does transportation infrastructure affect urban carbon emissions? An empirical study based on 286 cities in China
F Xiao, Z Pang, D Yan, Y Kong, F Yang
Environmental Science and Pollution Research 30 (4), 10624-10642, 2023
182023
The economic loss of public health from PM2.5 pollution in the Fenwei Plain
Z Dong, L Li, Y Lei, S Wu, D Yan, H Chen
Environmental Science and Pollution Research 28, 2415-2425, 2021
172021
Study on the CO2 emissions embodied in the trade of China’s steel industry: based on the input–output model
L Li, Y Lei, C He, S Wu, J Chen
Natural Hazards 86, 989-1005, 2017
162017
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