9 Papers
11 Citations
Ping Kang is an academic researcher from Chengdu University of Information Technology. The author has contributed to research in topics: Population & Air quality index. The author has an hindex of 4, co-authored 7 publications. Previous affiliations of Ping Kang include Wuhan University.
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Papers
Escaping from pollution: the effect of air quality on inter-city population mobility in China
Can Cui,Zhen Wang,Zhen Wang,Pan He,Shanfeng Yuan,Beibei Niu,Ping Kang,Chaogui Kang,Chaogui Kang +8 more
TL;DR: Wang et al. as mentioned in this paper utilized smartphone-based location data and instrumental variable regression to fill the gap of how air quality affects population mobility, and confirmed that air quality does affect the population outflows of cities.
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The impact of urbanization and consumption patterns on China’s black carbon emissions based on input–output analysis and structural decomposition analysis
Zhongci Deng,Ping Kang,Zhen Wang,Zhen Wang,Xiaoling Zhang,Weijie Li,Yihan Ou,Yu Lei,Ying Dang,Zhongren Deng +9 more
TL;DR: The T SP sector contributed the most to the BC emission increase because of the increasing TSP needs related to urbanization, and it is necessary to formulate mitigation policies for the TSP sector.
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The Russia–Ukraine war disproportionately threatens the nutrition security of developing countries
TL;DR: In this article , the authors show that, with the lowest level of war duration, severity, sanction, and countries involved, the direct and indirect impacts of the war and sanctions could newly place 67.3 million people in undernourishment and 316.7 million people suffering from extreme national food insecurity.
Statistical properties of aerosols and meteorological factors in Southwest China
Ping Kang,Nan Feng,Zuwu Wang,Yangjie Guo,Yangjie Guo,Zhen Wang,Yarong Chen,Jingwen Zhan,F. Benjamin Zhan,Song Hong,Song Hong +10 more
TL;DR: In this article, the spatial and temporal variations of aerosols and their relationship with meteorological conditions in Southwest China were studied to understand the aerosol-meteorology interactions, and also confirm that their distributions are influenced by complex interactions among different meteorological factors.
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