146 related articles for article (PubMed ID: 28687994)
1. Measurement and decomposition of energy efficiency of Northeast China-based on super efficiency DEA model and Malmquist index.
Ma X; Liu Y; Wei X; Li Y; Zheng M; Li Y; Cheng C; Wu Y; Liu Z; Yu Y
Environ Sci Pollut Res Int; 2017 Aug; 24(24):19859-19873. PubMed ID: 28687994
[TBL] [Abstract][Full Text] [Related]
2. Analysis of the total factor energy efficiency and its influencing factors of the Belt and Road key regions in China.
Yang Z; Wei X
Environ Sci Pollut Res Int; 2019 Feb; 26(5):4764-4776. PubMed ID: 30565113
[TBL] [Abstract][Full Text] [Related]
3. Effects of technological innovation on energy efficiency in China: Evidence from dynamic panel of 284 cities.
Wang H; Wang M
Sci Total Environ; 2020 Mar; 709():136172. PubMed ID: 31905588
[TBL] [Abstract][Full Text] [Related]
4. Applying the Super-EBM model and spatial Durbin model to examining total-factor ecological efficiency from a multi-dimensional perspective: evidence from China.
Chengyu L; Yongmei Z; Shiqiang Z; Jianmei W
Environ Sci Pollut Res Int; 2022 Jan; 29(2):2183-2202. PubMed ID: 34363169
[TBL] [Abstract][Full Text] [Related]
5. An assessment of energy efficiency based on environmental constraints and its influencing factors in China.
Chen Y; Xu JT
Environ Sci Pollut Res Int; 2019 Jun; 26(17):16887-16900. PubMed ID: 29725922
[TBL] [Abstract][Full Text] [Related]
6. Research on Total Factor Productivity and Influential Factors of the Regional Water-Energy-Food Nexus: A Case Study on Inner Mongolia, China.
Chen J; Ding T; Wang H; Yu X
Int J Environ Res Public Health; 2019 Aug; 16(17):. PubMed ID: 31443532
[TBL] [Abstract][Full Text] [Related]
7. [Spatial and temporal differences and influencing factors of ecological capital efficiency in Northeast China].
Shi J; Huang YL
Ying Yong Sheng Tai Xue Bao; 2019 Oct; 30(10):3527-3534. PubMed ID: 31621240
[TBL] [Abstract][Full Text] [Related]
8. Measuring productivity of healthcare services under environmental constraints: evidence from China.
Yu J; Liu Z; Zhang T; Hatab AA; Lan J
BMC Health Serv Res; 2020 Jul; 20(1):673. PubMed ID: 32698810
[TBL] [Abstract][Full Text] [Related]
9. Assessing the corporate green technology progress and environmental governance performance based on the panel data on industrial enterprises above designated size in Anhui Province, China.
Zhang K; Jiang W; Xu Y; Hou Y; Zhang S; Liu W
Environ Sci Pollut Res Int; 2021 Jan; 28(1):1151-1169. PubMed ID: 32833168
[TBL] [Abstract][Full Text] [Related]
10. Energy efficiency of the industrial sectors in Beijing-Tianjin-Hebei urban agglomeration: does technological gap matter?
Ouyang X; Jian Q; Jiang Z
Environ Sci Pollut Res Int; 2022 Jul; 29(34):52263-52276. PubMed ID: 35258731
[TBL] [Abstract][Full Text] [Related]
11. Prediction and Decomposition of Efficiency Differences in Chinese Provincial Community Health Services.
Liu Q; Li B; Mohiuddin M
Int J Environ Res Public Health; 2018 Oct; 15(10):. PubMed ID: 30332771
[TBL] [Abstract][Full Text] [Related]
12. Research on the ecological efficiency of the Yangtze River Delta region in China from the perspective of sustainable development of the economy-energy-environment (3E) system.
Ma X; Li Y; Zhang X; Wang C; Li Y; Dong B; Gu Y
Environ Sci Pollut Res Int; 2018 Oct; 25(29):29192-29207. PubMed ID: 30112648
[TBL] [Abstract][Full Text] [Related]
13. How the energy technology influences the total factor of energy efficiency?: evidence from China.
Du D; Xiao C; Huang J
Environ Sci Pollut Res Int; 2023 Aug; 30(37):87613-87627. PubMed ID: 37428321
[TBL] [Abstract][Full Text] [Related]
14. Impact of the digital economy on total factor energy efficiency: evidence from 268 Chinese cities.
Wang H; Cheng Y
Environ Sci Pollut Res Int; 2024 Jan; 31(2):2960-2975. PubMed ID: 38079047
[TBL] [Abstract][Full Text] [Related]
15. Industrial co-agglomeration, green technological innovation, and total factor energy efficiency.
Yang H; Xu X; Zhang F
Environ Sci Pollut Res Int; 2022 Sep; 29(41):62475-62494. PubMed ID: 35404036
[TBL] [Abstract][Full Text] [Related]
16. Environment-adjusted total-factor energy efficiency of Taiwan's service sectors.
Fang CY; Hu JL; Lou TK
Energy Policy; 2013 Dec; 63():1160-1168. PubMed ID: 32287870
[TBL] [Abstract][Full Text] [Related]
17. Ecological efficiency in China and its influencing factors-a super-efficient SBM metafrontier-Malmquist-Tobit model study.
Ma X; Wang C; Yu Y; Li Y; Dong B; Zhang X; Niu X; Yang Q; Chen R; Li Y; Gu Y
Environ Sci Pollut Res Int; 2018 Jul; 25(21):20880-20898. PubMed ID: 29766421
[TBL] [Abstract][Full Text] [Related]
18. Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model.
Huang R; Li W; Shi B; Su H; Hao J; Zhao C; Chai J
Front Public Health; 2024; 12():1366327. PubMed ID: 38962768
[TBL] [Abstract][Full Text] [Related]
19. Improve energy use efficiency through free trade policy: evidence from the establishment of free trade zones in China.
Ma Z; Wang J; Wang N; Yang Z
Environ Sci Pollut Res Int; 2024 Jun; 31(27):39388-39405. PubMed ID: 38819508
[TBL] [Abstract][Full Text] [Related]
20. Performance evaluation of e-commerce firms in China: Using three-stage data envelopment analysis and the Malmquist productivity index.
Zheng S; Khan R
PLoS One; 2021; 16(8):e0255851. PubMed ID: 34379674
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]