导师介绍

王少彬

男,陕西西安人,副研究员,硕士研究生导师。2009年毕业于北京理工大学,获学士学位;2012在中国科学院古脊椎动物与古人类研究所获得硕士学位;2016年在中国科学院地理科学与资源研究所获得环境科学博士学位,之后留所工作至今。2019~2020年,加州大学欧文分校公共卫生系中科院公派访问学者。欧洲地球科学联合会(EGU)、美国地理学家协会(AAG)会员。主持国家自然科学基金面上项目、科技部国家重点研发计划专题;以骨干身份参加国家自然科学基金地质联合基金、北京市社科基金重大咨询项目、中国环境监测总站项目等。在环境科学、环境健康及公共卫生等期刊发表第一或通讯作者SCI/SSCI论文30余篇。担任Scientific Reports环境科学组编委,Lancet Regional HealthEnvironment InternationalScience of the Total EnvironmentJournal of Hazardous MaterialsEnvironmental ResearchSocial Science & MedicineRenewable & Sustainable Energy ReviewsEnergy等期刊审稿人。

主要研究方向(Research Field

污染环境与健康,绿色发展的环境健康效应,数字技术及健康效应

代表性成果(Representative Academic Papers

2024

1)       Luo, X., Pu, H., Wang, S.*, Zhong, D., Liu, F., Li, Z., (2024). Influence of Internet use on Chinese residents’ health: The mediating role of health knowledge. Technology in Society76, 102413. https://doi.org/10.1016/j.techsoc.2023.102413

2023

2)       Ren, Z., Wang, S.*, Liu, X., Yin, Q., Fan, J.* (2023) Associations Between Gender Gaps in Life Expectancy, Air Pollution, and Urbanization: A Global Assessment with Bayesian Spatiotemporal Modeling. International Journal of Public Health 68. https://doi.org/10.3389/ijph.2023.1605345

3)       Wang, N., Wei, C., Zhao, X., Wang, S.*, Ren, Z., Ni, R. (2023) Does green technology innovation promote the reduction of anthropogenic PM2.5 emissions? Evidence from China’s cities. Atmospheric Pollution Research 14(3), 101699. https://doi.org/10.1016/j.apr.2023.101699

4)       Wang, S., Ren, Z.*, Liu, X. (2023) Spatiotemporal trends in neonatal, infant, and child mortality (1990-2019) based on Bayesian spatiotemporal modelling. Frontiers in Public Health 11, https://doi.org/10.3389/fpubh.2023.996694

5)       Luo, X., Wang, S.*, Pu, H., Long, C., Ren, Z., Lai, Y. (2023) Knowledge mapping and research trends of the social determinants of health (SDoH): A scientometric analysis. Reviews on Environmental Health https://doi.org/doi:10.1515/reveh-2022-0186

6)       Yang, H., Wang, S.*, Zheng, Y. (2023). Spatial-temporal variations and trends of Internet users: assessment from global perspective. Information Development 39(1), 136–146. https://doi.org/10.1177/02666669211035479

2022

7)       Wang, S.*, Ren, Z. (2022) Exploring life expectancy and its social determinants in China: Enlightenment from a spatial and temporal framework. The Lancet Regional Health - Western Pacific 23:100469. https://doi.org/10.1016/j.lanwpc.2022.100469.

8)       Wang, S.*, Ren, Z. Xiao, Z., Wang, N., Yang, H., Pu, H. (2022). Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China. International Journal for Equity in Health 21(1): 107. https://doi.org/10.1186/s12939-022-01711-7

9)       Wang, S., Ren, Z., Liu, X., Yin, Q., (2022). Spatiotemporal trends in life expectancy and impacts of economic growth and air pollution in 134 countries: A Bayesian modeling study. Social Science & Medicine 293, 114660. https://doi.org/10.1016/j.socscimed.2021.114660

10)   Wang, N., Fu, X., Wang, S.*. (2022). Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China. Applied Energy 309, 118504. https://doi.org/10.1016/j.apenergy.2021.118504

11)   Wang, N., Fu, X., Wang, S.*, Yang, H., Li, Z. (2022). Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective. Energy 254, 124292. https://doi.org/10.1016/j.energy.2022.124292

12)   Yang, H., Wang, S.*, Ren, Z., Liu, H., Tong, Y., Wang, N. (2022) Life expectancy, air pollution and socioeconomic factors: A multivariate time-series analysis of Beijing City, China. Social Indicators Research 162, 979–994 https://doi.org/10.1007/s11205-021-02872-8

13)   Pu, H., Wang, S.*, Wang, Z., Ran, Z., Jiang, M. (2022) Non-linear relations between life expectancy, socio-economic, and air pollution factors: a global assessment with spatial disparities. Environmental Science and Pollution Research. 29, 53306–53318 https://doi.org/10.1007/s11356-022-19644-7.

14)   Wei, C., Lei, M.*, Wang, S.* (2022) Spatial heterogeneity of human lifespan in relation to air pollution and socio-economic polarization: A case study in the Beijing-Tianjin-Hebei region, China. Environmental Science and Pollution Research 29, 40567–40584 https://doi.org/10.1007/s11356-022-18702-4

2021

15)   Wang, N., Fu, X.*, Wang, S.* (2021). Economic growth, electricity consumption, and urbanization in China: A tri-variate investigation using panel data modeling from a regional disparity perspective. Journal of Cleaner Production 318, 128529. https://doi.org/10.1016/j.jclepro.2021.128529

16)   Wang, S., Tong, Y., Fan, Y., Liu, H.*, Wu, J., Wang, Z., Fang, C. (2021). Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility. Scientific Reports 11, 14691. https://doi.org/10.1038/s41598-021-94060-4

17)   Man, W., Wang, S.*, Yang, H., (2021). Exploring the spatial-temporal distribution and evolution of population aging and social-economic indicators in China. BMC Public Health 21, 966. https://doi.org/10.1186/s12889-021-11032-z

18)   Wang, S.*, Zhao, C., Liu, H., Tian, X. (2021). Exploring the spatial spillover effects of low-grade coal consumption and influencing factors in China. Resources Policy 2020:101906. https://doi.org/10.1016/j.resourpol.2020.101906.

2020

19)   Wang, S.*, Wu, J.* (2020). Spatial heterogeneity of the associations of economic and health care factors with infant mortality in China using geographically weighted regression and spatial clustering. Social Science & Medicine 263, 113287.

20)   Wang, S.* (2020). Spatial patterns and social-economic influential factors of population aging: A global assessment from 1990 to 2010 using spatial regressive modeling. Social Science & Medicine 253, 112963.

21)   Wang, S.*, Liu, H., Pu, H., Yang, H. (2020). Spatial disparity and hierarchical cluster analysis of final energy consumption in China. Energy. 197, 117195.

2019

22)   Wang, S.*, Liu, Y., Zhao, C., Pu, H. (2019). Heating energy consumption and its health linkages in China: A geographically weighted regression approach and energy-ladder-based perspective. Energy. 177, 347-357.

23)   Wang, S.*, Ren, Z. (2019). Distribution patterns and economic factors of life expectancy and mortality rate in China: A county-level study based on spatial analysis models. International Journal of Public Health. 64, 773–783.

2018

24)   Wang, S.*, Wang, X. (2018). Potentially useful elements (Al, Fe, Ga, Ge, U) in coal gangue: A case study in Weibei coal mining area, Shaanxi Province, northwestern China. Environmental Science and Pollution Research. 25(12): 11893-11904.

25)   Wang, S.*, Luo, K. (2018). Life expectancy impacts due to heating energy utilization in China: Distribution, relations, and policy implications. Science of The Total Environment. 610-611, 1047-1056.

2017

26)   Wang, S., Luo, K.* (2017). Estimation of atmospheric emission of mercury due to combustion of steam coal and domestic coal in China. Atmospheric Environment. 162, 45-54.

27)   Wang, S., Luo, K.*, Ni, R., Tian, Y., Gao, X. (2017). Assessment of elemental background values and their relation with lifespan indicators: A comparative study of Jining in Shandong Province and Guanzhong area in Shaanxi Province, northern China. Science of The Total Environment. 595, 315–324.

2016

28)   Wang, S., Luo, K.*, Wang, X. (2016). Estimate of sulfur, arsenic, mercury, fluorine emissions due to spontaneous combustion of coal gangue: An important part of Chinese emission inventories. Environmental Pollution. 209, 107-113.

2015

29)   Wang, S., Luo, K.*, Liu, Y. (2015). Spatio-temporal distribution of human lifespan in China. Scientific Reports. 5, 13844. doi:10.1038/srep13844.

30)   Wang, S., Luo, K.*, Liu, Y., Zhang, S., Lin, X., Ni, R., Tian, X., Gao, X. (2015). Economic level and human longevity: spatial and temporal variations and correlation analysis of per capita GDP and longevity indicators in China. Archives of Gerontology and Geriatrics. 61, 93-102.

招生专业:环境科学

欢迎具有环境科学、环境健康或区域经济学背景、有志从事科研的同学报考。

联系方式

地址:北京市朝阳区大屯路甲11 中国科学院地理科学与资源研究所 邮编100101

邮箱:wangshaobin@igsnrr.ac.cn  电话:13488702640