428 related articles for article (PubMed ID: 35229525)
1. [Spatial-temporal differentiation and influencing mechanism of green development efficiency in three major urban agglomerations in Zhejiang Province, China.].
Weng YJ; Wang XT; Chen SJ
Ying Yong Sheng Tai Xue Bao; 2022 Feb; 33(2):509-516. PubMed ID: 35229525
[TBL] [Abstract][Full Text] [Related]
2. The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration.
Shan Y; Wang X; Wang Z; Liang L; Li J; Sun J
PLoS One; 2020; 15(9):e0237863. PubMed ID: 32986700
[TBL] [Abstract][Full Text] [Related]
3. Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China.
Cheng Y; Shao T; Lai H; Shen M; Li Y
Int J Environ Res Public Health; 2019 Oct; 16(20):. PubMed ID: 31658650
[TBL] [Abstract][Full Text] [Related]
4. Spatial-temporal differentiation pattern and influencing factors of land economic density at the township scale in Zhejiang Province.
Ma F; Hu Y; Ding Z
PLoS One; 2024; 19(5):e0304327. PubMed ID: 38820423
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Spatial spillover and threshold effect of green development efficiency on urban human settlement resilience in Yangtze River Delta urban agglomeration.
Wang Z; Xu X; Zhang J
PLoS One; 2023; 18(10):e0292230. PubMed ID: 37856466
[TBL] [Abstract][Full Text] [Related]
7. Spatial Differentiation and Influencing Factors in the Ecological Well-Being Performance of Urban Agglomerations in the Middle Reaches of the Yangtze River: A Hierarchical Perspective.
Zhu Y; Zhang R; Cui J
Int J Environ Res Public Health; 2022 Oct; 19(19):. PubMed ID: 36232167
[TBL] [Abstract][Full Text] [Related]
8. How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River.
Wang Z; Zhang X; Zhang C; Yang Q
Int J Environ Res Public Health; 2022 Jun; 19(13):. PubMed ID: 35805594
[TBL] [Abstract][Full Text] [Related]
9. Does digital inclusive finance affect the urban green economic efficiency? New evidence from the spatial econometric analysis of 284 cities in China.
Zhu K; Ma R; Du L
Environ Sci Pollut Res Int; 2023 May; 30(23):63435-63452. PubMed ID: 37041360
[TBL] [Abstract][Full Text] [Related]
10. Have regional coordinated development policies promoted urban carbon emission efficiency?-the evidence from the urban agglomerations in the middle reaches of the Yangtze River.
Wang T; Li H
Environ Sci Pollut Res Int; 2023 Mar; 30(14):39618-39636. PubMed ID: 36598721
[TBL] [Abstract][Full Text] [Related]
11. The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation.
Zheng R; Cheng Y; Liu H; Chen W; Chen X; Wang Y
Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897474
[TBL] [Abstract][Full Text] [Related]
12. Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin.
Su Z; Yang Y; Wang Y; Zhang P; Luo X
Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36901005
[TBL] [Abstract][Full Text] [Related]
13. Spatio-temporal evolution of resources and environmental carrying capacity and its influencing factors: A case study of Shandong Peninsula urban agglomeration.
Fan W; Song X; Liu M; Shan B; Ma M; Liu Y
Environ Res; 2023 Oct; 234():116469. PubMed ID: 37394173
[TBL] [Abstract][Full Text] [Related]
14. Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities.
Xu L; Wang D; Du J
Int J Environ Res Public Health; 2022 Mar; 19(7):. PubMed ID: 35409620
[TBL] [Abstract][Full Text] [Related]
15. The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization.
Fu J; Ding R; Zhang Y; Zhou T; Du Y; Zhu Y; Du L; Peng L; Zou J; Xiao W
Int J Environ Res Public Health; 2022 Dec; 19(23):. PubMed ID: 36498222
[TBL] [Abstract][Full Text] [Related]
16. Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models.
Li F; Wang X; Liu H; Li X; Zhang X; Sun Y; Wang Y
Environ Monit Assess; 2018 Aug; 190(9):541. PubMed ID: 30136177
[TBL] [Abstract][Full Text] [Related]
17. [Dynamics of three-dimensional ecological footprint of Zhejiang coastal zone and its influencing factors based on GTWR model].
Tian P; Li JL; Wang LJ; Liu RQ; Shi XL
Ying Yong Sheng Tai Xue Bao; 2020 Sep; 31(9):3173-3186. PubMed ID: 33345519
[TBL] [Abstract][Full Text] [Related]
18. Measurement of Coupling Coordination Degree and Spatio-Temporal Characteristics of the Social Economy and Ecological Environment in the Chengdu-Chongqing Urban Agglomeration under High-Quality Development.
Wan J; Li Y; Ma C; Jiang T; Su Y; Zhang L; Song X; Sun H; Wang Z; Zhao Y; Zhang K; Yang J
Int J Environ Res Public Health; 2021 Nov; 18(21):. PubMed ID: 34770144
[TBL] [Abstract][Full Text] [Related]
19. How can urban agglomeration market integration promote urban green development: evidence from China's Yangtze River Economic Belt.
Liao B; Li L
Environ Sci Pollut Res Int; 2022 Feb; 29(7):10649-10664. PubMed ID: 34528199
[TBL] [Abstract][Full Text] [Related]
20. Spatial Disparity and Influencing Factors of Coupling Coordination Development of Economy-Environment-Tourism-Traffic: A Case Study in the Middle Reaches of Yangtze River Urban Agglomerations.
Chen Q; Bi Y; Li J
Int J Environ Res Public Health; 2021 Jul; 18(15):. PubMed ID: 34360238
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
