708 related articles for article (PubMed ID: 35162249)
1. Spatial Heterogeneity of Carbon Emissions and Its Influencing Factors in China: Evidence from 286 Prefecture-Level Cities.
Li C; Li H; Qin X
Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162249
[TBL] [Abstract][Full Text] [Related]
2. Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China.
Zhang X; Shen M; Luan Y; Cui W; Lin X
Int J Environ Res Public Health; 2022 Sep; 19(18):. PubMed ID: 36141499
[TBL] [Abstract][Full Text] [Related]
3. Evaluating the Coordination of Industrial-Economic Development Based on Anthropogenic Carbon Emissions in Henan Province, China.
He J; Zhang P
Int J Environ Res Public Health; 2018 Aug; 15(9):. PubMed ID: 30135401
[TBL] [Abstract][Full Text] [Related]
4. Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years.
Gu H; Liu Y; Xia H; Tan X; Zeng Y; Zhao X
Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833754
[TBL] [Abstract][Full Text] [Related]
5. Does lower regional density result in less CO
Lin Y; Huang J; Li M; Lin R
Environ Sci Pollut Res Int; 2022 Apr; 29(20):29887-29903. PubMed ID: 34993789
[TBL] [Abstract][Full Text] [Related]
6. Spatial Heterogeneity and Scale Effects of Transportation Carbon Emission-Influencing Factors-An Empirical Analysis Based on 286 Cities in China.
Wang T; Zhang K; Liu K; Ding K; Qin W
Int J Environ Res Public Health; 2023 Jan; 20(3):. PubMed ID: 36767675
[TBL] [Abstract][Full Text] [Related]
7. Study on the spatial correlation effects and influencing factors of carbon emissions from the electricity industry: a fresh evidence from China.
Bai M; Li C
Environ Sci Pollut Res Int; 2023 Nov; 30(53):113364-113381. PubMed ID: 37848783
[TBL] [Abstract][Full Text] [Related]
8. Consumption-based emissions at city level in China and the spatial heterogeneity analysis of the influential factors.
Wang Y; Pan Z; Zhang L; Lu Y; Zhang Z; Ren J
Environ Sci Pollut Res Int; 2023 Mar; 30(11):28961-28974. PubMed ID: 36402880
[TBL] [Abstract][Full Text] [Related]
9. Characterizing Carbon Emissions and the Associations with Socio-Economic Development in Chinese Cities.
Shen Z; Xin L
Int J Environ Res Public Health; 2022 Oct; 19(21):. PubMed ID: 36360669
[TBL] [Abstract][Full Text] [Related]
10. Spatiotemporal characteristics and influencing factors of carbon emissions from civil buildings: Evidence from urban China.
Wang J; Du G; Liu M
PLoS One; 2022; 17(8):e0272295. PubMed ID: 35925953
[TBL] [Abstract][Full Text] [Related]
11. Carbon emissions' spatial-temporal heterogeneity and identification from rural energy consumption in China.
Zhang H; Li S
J Environ Manage; 2022 Feb; 304():114286. PubMed ID: 34915389
[TBL] [Abstract][Full Text] [Related]
12. Distribution characteristics and influencing factors of household consumption carbon emissions in China from a spatial perspective.
Lian Y; Lin X; Luo H; Zhang J; Sun X
J Environ Manage; 2024 Feb; 351():119564. PubMed ID: 38042085
[TBL] [Abstract][Full Text] [Related]
13. Dynamic evolution characteristics and driving factors of carbon emissions in prefecture-level cities in the Yellow River Basin of China.
Chen R; Ma X; Zhao Y; Wang S; Zhang S
Environ Sci Pollut Res Int; 2023 May; 30(25):67443-67457. PubMed ID: 37103708
[TBL] [Abstract][Full Text] [Related]
14. Assessing the low-carbon city pilot policy on carbon emission from consumption and production in China: how underlying mechanism and spatial spillover effect?
Ren H; Gu G; Zhou H
Environ Sci Pollut Res Int; 2022 Oct; 29(47):71958-71977. PubMed ID: 35610453
[TBL] [Abstract][Full Text] [Related]
15. How does urbanization affect carbon emission intensity under a hierarchical nesting structure? Empirical research on the China Yangtze River Delta urban agglomeration.
Wang F; Wang G; Liu J; Chen H
Environ Sci Pollut Res Int; 2019 Nov; 26(31):31770-31785. PubMed ID: 31485940
[TBL] [Abstract][Full Text] [Related]
16. The evolution characteristics and influence factors of carbon productivity in China's industrial sector: from the perspective of embodied carbon emissions.
Guo F; Meng S; Sun R
Environ Sci Pollut Res Int; 2021 Sep; 28(36):50611-50622. PubMed ID: 33963993
[TBL] [Abstract][Full Text] [Related]
17. Temporal dynamics and spatial differences of household carbon emissions per capita of China's provinces during 2000-2019.
Song C; Zhao T; Xiao Y
Environ Sci Pollut Res Int; 2022 May; 29(21):31198-31216. PubMed ID: 35001270
[TBL] [Abstract][Full Text] [Related]
18. Spatio-Temporal Differentiation Characteristics and Urbanization Factors of Urban Household Carbon Emissions in China.
Li C; Zhang L; Gu Q; Guo J; Huang Y
Int J Environ Res Public Health; 2022 Apr; 19(8):. PubMed ID: 35457320
[TBL] [Abstract][Full Text] [Related]
19. Research on carbon emission differences decomposition and spatial heterogeneity pattern of China's eight economic regions.
Zhang Y; Yu Z; Zhang J
Environ Sci Pollut Res Int; 2022 Apr; 29(20):29976-29992. PubMed ID: 34997485
[TBL] [Abstract][Full Text] [Related]
20. Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City.
Huang X; Chen S; Xiong D; Xu C; Yang Z
Comput Intell Neurosci; 2022; 2022():7546742. PubMed ID: 35978900
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]