Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Sanmang Wu"'
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Drawing upon data from the 2018 CHARLS, this paper utilizes MEPI and a 10% threshold indicator to, respectively, assess the energy poverty (EP) status among middle-aged and older adults in China, focusing on the unavailability and unaffordability of
Externí odkaz:
https://doaj.org/article/3b15b4e9d2ed447e900f0db7570e4aaf
Publikováno v:
Water Policy, Vol 23, Iss 6, Pp 1445-1467 (2021)
The Yellow River Basin (YRB) is facing a serious water shortage. How to effectively alleviate the water crisis and achieve sustainable development in the YRB has become a widespread concern. By using the interregional input–output tables of China i
Externí odkaz:
https://doaj.org/article/a14a4b81ff074c0fab1837460c3114b0
Publikováno v:
Water, Vol 14, Iss 11, p 1677 (2022)
Interprovincial trade has expanded China’s virtual water consumption and economic development. This study uses an environmental–economic inequality index to calculate the virtual water and economic benefit transfer imbalances in interprovincial t
Externí odkaz:
https://doaj.org/article/a2bfead7b8ae45ce8d015c0cfb777501
Publikováno v:
Earth's Future, Vol 6, Iss 6, Pp 867-881 (2018)
Abstract In this study, we use input‐output analysis to measure CO2 emissions (CEs) embodied in Chinese provinces' exports and imports and explore the interprovincial spillover of CEs induced by exports through the domestic supply chains. The findi
Externí odkaz:
https://doaj.org/article/ea90934ac80a4bb4a79cf619ea67898e
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
Climate change has threatened our economic, environmental, and social sustainability seriously. The world has taken active measures in dealing with climate change to mitigate carbon emissions. Predicting the carbon emissions peak has become a global
Externí odkaz:
https://doaj.org/article/013c745c534f4b59a041e1c0cda74e34
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0121594 (2015)
Four major components influence the growth of the gross domestic product in Chinese provinces: consumption, investment, transnational exports, and inter-provincial exports. By splitting a competitive input-output table into a non-competitive input-ou
Externí odkaz:
https://doaj.org/article/650836995af7436f951102c38f38d4ee
Publikováno v:
Advances in Materials Science and Engineering, Vol 2015 (2015)
Based on data from 2007 input-output tables for each province, we estimated the energy embodied in China’s interprovincial trade through input-output analysis. The results show that a sizable transfer of energy is embodied in China’s interprovinc
Externí odkaz:
https://doaj.org/article/26ef735037984d70bd2226e5bc9ec005
Publikováno v:
Environmental Science and Pollution Research. 29:63028-63040
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a550b929dde10c06d52e18f3dceb3dac
https://doi.org/10.1007/s11356-022-20229-7
https://doi.org/10.1007/s11356-022-20229-7
Publikováno v:
Water Policy, Vol 23, Iss 6, Pp 1445-1467 (2021)
The Yellow River Basin (YRB) is facing a serious water shortage. How to effectively alleviate the water crisis and achieve sustainable development in the YRB has become a widespread concern. By using the interregional input–output tables of China i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3710ed995aadd0966e237005df7134a
http://wp.iwaponline.com/content/23/6/1445
http://wp.iwaponline.com/content/23/6/1445
Autor:
Cui, Yifeng Wang, Ken Sun, Li Li, Yalin Lei, Sanmang Wu, Yong Jiang, Yanling Xi, Fang Wang, Yanfang
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 17; Pages: 10647
Due to the fast growth of China’s economy, urban atmospheric pollution has become a serious problem affecting the public’s physical and mental health. The ‘2 + 26’ cities, as the Jing-Jin-Ji atmospheric pollution transmission channel, has att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::fc25e976c0e7f487ab30c4f963633102