134 related articles for article (PubMed ID: 37934404)
1. Dynamic evolutionary characteristics and influence mechanisms of carbon emission intensity in counties of the Yangtze River Delta, China.
Ma Z; Duan X; Wang L; Wang Y; Kang J; Yun R
Environ Sci Pollut Res Int; 2023 Dec; 30(57):119974-119987. PubMed ID: 37934404
[TBL] [Abstract][Full Text] [Related]
2. Spatial-temporal characteristics and influencing factors of county-level carbon emissions in Zhejiang Province, China.
Qi H; Shen X; Long F; Liu M; Gao X
Environ Sci Pollut Res Int; 2023 Jan; 30(4):10136-10148. PubMed ID: 36070039
[TBL] [Abstract][Full Text] [Related]
3. Regional differences, dynamic evolution, and spatial spillover effects of carbon emission intensity in urban agglomerations.
Qiao R; Dong F; Xie X; Ji R
Environ Sci Pollut Res Int; 2023 Dec; 30(58):121993-122010. PubMed ID: 37957497
[TBL] [Abstract][Full Text] [Related]
4. Multi-scale variations and impact factors of carbon emission intensity in China.
Liu XJ; Jin XB; Luo XL; Zhou YK
Sci Total Environ; 2023 Jan; 857(Pt 1):159403. PubMed ID: 36243066
[TBL] [Abstract][Full Text] [Related]
5. [Temporal and spatial characteristics and correlation of the coordinated development of economy, society and ecological environment in the Yangtze River Delta, China].
Kong FB; Yuan RX; Xu CY
Ying Yong Sheng Tai Xue Bao; 2022 Jul; 33(7):2009-2016. PubMed ID: 36052806
[TBL] [Abstract][Full Text] [Related]
6. Spatiotemporal pattern of regional carbon emissions and its influencing factors in the Yangtze River Delta urban agglomeration of China.
Lv T; Hu H; Zhang X; Xie H; Fu S; Wang L
Environ Monit Assess; 2022 Jun; 194(7):515. PubMed ID: 35731371
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Spatial and Temporal Evolutionary Characteristics and Its Influencing Factors of Economic Spatial Polarization in the Yangtze River Delta Region.
Zhu Y; Yang S; Lin J; Yin S
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742246
[TBL] [Abstract][Full Text] [Related]
9. Impact of digital economy development on carbon emission intensity in the Beijing-Tianjin-Hebei region: a mechanism analysis based on industrial structure optimization and green innovation.
Gu R; Li C; Yang Y; Zhang J; Liu K
Environ Sci Pollut Res Int; 2023 Mar; 30(14):41644-41664. PubMed ID: 36637645
[TBL] [Abstract][Full Text] [Related]
10. How urban agglomeration improve the emission efficiency?A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China.
Yu X; Wu Z; Zheng H; Li M; Tan T
J Environ Manage; 2020 Apr; 260():110061. PubMed ID: 32090809
[TBL] [Abstract][Full Text] [Related]
11. A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action.
Ding X; Cai Z; Xiao Q; Gao S
Int J Environ Res Public Health; 2019 Nov; 16(22):. PubMed ID: 31766158
[TBL] [Abstract][Full Text] [Related]
12. Spatio-Temporal Difference in Agricultural Eco-Efficiency and Its Influencing Factors Based on the SBM-Tobit Models in the Yangtze River Delta, China.
Shi L; Shi X; Yang F; Zhang L
Int J Environ Res Public Health; 2023 Mar; 20(6):. PubMed ID: 36981700
[TBL] [Abstract][Full Text] [Related]
13. Spatial spillover effects of urbanization on carbon emissions in the Yangtze River Delta urban agglomeration, China.
Lv T; Hu H; Zhang X; Xie H; Wang L; Fu S
Environ Sci Pollut Res Int; 2022 May; 29(23):33920-33934. PubMed ID: 35031992
[TBL] [Abstract][Full Text] [Related]
14. Industrial co-agglomeration, Internet utilization, and the development of green and low-carbon cycle - based on the empirical study of 41 cities in the Yangtze River Delta of China.
Tian S; Meng Y; Li X; Si L; Yin Y
Environ Sci Pollut Res Int; 2023 May; 30(25):66867-66896. PubMed ID: 37099102
[TBL] [Abstract][Full Text] [Related]
15. Study on the spatial interaction between carbon emission intensity and shadow economy in China.
Pang J; Li N; Mu H; Zhang M; Zhao H
Sci Total Environ; 2022 Mar; 813():152616. PubMed ID: 34963582
[TBL] [Abstract][Full Text] [Related]
16. Analysis of the Spatiotemporal Evolution of the Net Carbon Sink Efficiency and Its Influencing Factors at the City Level in Three Major Urban Agglomerations in China.
Shen S; Wu C; Gai Z; Fan C
Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36673923
[TBL] [Abstract][Full Text] [Related]
17. The influence mechanism and spatial effect of carbon emission intensity in the agricultural sustainable supply: evidence from china's grain production.
Li Z; Li J
Environ Sci Pollut Res Int; 2022 Jun; 29(29):44442-44460. PubMed ID: 35133588
[TBL] [Abstract][Full Text] [Related]
18. How does new-type urbanization affect total carbon emissions, per capita carbon emissions, and carbon emission intensity? An empirical analysis of the Yangtze River economic belt, China.
Wu Y; Zong T; Shuai C; Jiao L
J Environ Manage; 2024 Jan; 349():119441. PubMed ID: 37922824
[TBL] [Abstract][Full Text] [Related]
19. Research on the Heterogeneity of Carbon Emissions under the Government's Promotion of Urban Agglomeration Development: Empirical Evidence from County-to-District Reforms.
Jin J; Chen D
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742788
[TBL] [Abstract][Full Text] [Related]
20. Spatiotemporal Dynamic Distribution, Regional Differences and Spatial Convergence Mechanisms of Carbon Emission Intensity: Evidence from the Urban Agglomerations in the Yellow River Basin.
Zhang C; Dong X; Zhang Z
Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36834225
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]