Displaying 41 - 50 of 57
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Song, Deyong; Zhang, Qi; Yang, Liuqingqing. 2020. Environmental effect of flattening administrative structure on local water quality: a county-level analysis of China’s County-Power-Expansion reform. [Journal of Cleaner Production] . 276: 123256 DOI: https://doi.org/10.1016/j.jclepro.2020.123256
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Sullivan, Teresa A. 2020. Privacy and Data Protection. [Census 2020: Understanding the Issues] pp: 69-84 DOI: https://doi.org/10.1007/978-3-030-40578-6_5
SEDAC Data Collection(s):
acrp
(Book Section)
export
Tsurumi, Tetsuya; Managi, Shunsuke. 2020. Health-related and non-health-related effects of PM2.5 on life satisfaction: Evidence from India, China and Japan. [Economic Analysis and Policy] . 67: 114-123 DOI: https://doi.org/10.1016/j.eap.2020.06.002
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Walsh, Michael G.; Sawleshwarkar, Shailendra; Hossain, Shah; Mor, Siobhan M. 2020. Whence the next pandemic? The intersecting global geography of the animal-human interface, poor health systems and air transit centrality reveals conduits for high-impact spillover. [One Health] . 11: 100177 DOI: https://doi.org/10.1016/j.onehlt.2020.100177
SEDAC Data Collection(s):
gpw-v4
povmap
species
(Journal Article)
export
Wang, Ruoyu; Yang, Boyi; Yao, Yao; Bloom, Michael S.; Feng, Zhiqiang; Yuan, Yuan; Zhang, Jinbao; Liu, Penghua; Wu, Wenjie; Lu, Yi; Baranyi, Gergo; Wu, Rong; Liu, Ye; Dong, Guanghui. 2020. Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China. [Science of The Total Environment] . 711: 134843 DOI: https://doi.org/10.1016/j.scitotenv.2019.134843
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Wu, Xianhua; Chen, Yufeng; Zhao, Peng; Guo, Ji; Ma, Zhanxin. 2020. Study of haze emission efficiency based on new co-opetition data envelopment analysis. [Expert Systems] . 37(4): e12466 DOI: https://doi.org/10.1111/exsy.12466
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Wu, Xianhua; Guo, Ji; Wei, Guo; Zou, Yi. 2020. Economic losses and willingness to pay for haze: the data analysis based on 1123 residential families in Jiangsu province, China. [Environmental Science and Pollution Research] . 27(17864-17877) DOI: https://doi.org/10.1007/s11356-020-08301-6
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Xiao, Han; Wang, KeMin. 2020. Does environmental labeling exacerbate heavily polluting firms’ financial constraints? Evidence from China. [China Journal of Accounting Research] . 13(2): 147-174 DOI: https://doi.org/10.1016/j.cjar.2020.05.001
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Yan, Dan; Ren, Xiaohang; Kong, Ying; Ye, Bin; Liao, Zangyi. 2020. The heterogeneous effects of socioeconomic determinants on PM2.5 concentrations using a two-step panel quantile regression. [Applied Energy] . 272: 115246 DOI: https://doi.org/10.1016/j.apenergy.2020.115246
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Yang, C.; Zhan, Q.; Xiao, Y.; Liu, H. 2020. Identifying the driving factors of population exposure to fine particulate matter (PM2.5) in Wuhan, China. [ISPRS Annals of the Photogrammetry, Remote Sensing, and Spatial Information Sciences] . V-3-2020: 355-361 DOI: https://doi.org/10.5194/isprs-annals-V-3-2020-355-2020
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export

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