Displaying 81 - 90 of 98
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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)
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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)
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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)
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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
Yang, Jun; Xu, Lan. 2020. How does China's air pollution influence its labor wage distortions? Theoretical and empirical analysis from the perspective of spatial spillover effects. [Science of The Total Environment] . 745: 140843 DOI: https://doi.org/10.1016/j.scitotenv.2020.140843
SEDAC Data Collection(s):
sdei
(Journal Article)
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Zaveri, Esha; Russ, Jason; Damania, Richard. 2020. Rainfall anomalies are a significant driver of cropland expansion. [Proceedings of the National Academy of Sciences] . 117(19): 10225-10233 DOI: https://doi.org/10.1073/pnas.1910719117
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
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Zhang, Hui; Kang, Myounghee; Shen, Li; Wu, Jinming; Li, Junyi; Du, Hao; Wang, Chengyou; Yang, Haile; Zhou, Qiong; Liu, Zhigang; Gorfine, Harry; Wei, Qiwei. 2020. Rapid change in Yangtze fisheries and its implications for global freshwater ecosystem management. [Fish and Fisheries] . 21(3): 601-620 DOI: https://doi.org/10.1111/faf.12449
SEDAC Data Collection(s):
grand-v1
(Journal Article)
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Zhang, Lili; Wilson, John P.; MacDonald, Beau; Zhang, Wenhao; Yu, Tao. 2020. The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations. [Environment International] . 142: 105862 DOI: https://doi.org/10.1016/j.envint.2020.105862
SEDAC Data Collection(s):
gpw-v4
sdei
(Journal Article)
export
Zhang, Min; Chung, Seung-hun. 2020. Is air pollution detrimental to regional innovation? Evidence from Chinese cities. [Growth and Change] . 51(4): 1657-1689 DOI: https://doi.org/10.1111/grow.12445
SEDAC Data Collection(s):
sdei
(Journal Article)
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