These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
151 related items for PubMed ID: 34991025
1. Heterogeneous public preferences for controlling agricultural non-point source pollution based on a choice experiment. Li XP, Cai J, Wang QJ, Wang XW. J Environ Manage; 2022 Mar 01; 305():114413. PubMed ID: 34991025 [Abstract] [Full Text] [Related]
3. [Factors Influencing Willingness of Farmers to Pay for Agricultural Non-point Source Pollution Control Based on Distributed Cognitive Theory]. Guo CH, Li LF, Xia XL. Huan Jing Ke Xue; 2024 Feb 08; 45(2):1222-1232. PubMed ID: 38471958 [Abstract] [Full Text] [Related]
4. Research on the Relationship between Urban Agricultural Nonpoint Source Pollution and Rural Residents' Income Growth. Xu P, Li S, Yang X, Li Y. J Environ Public Health; 2022 Feb 08; 2022():4133245. PubMed ID: 35990541 [Abstract] [Full Text] [Related]
5. Haze Attitudes and the Willingness to Pay for Haze Improvement: Evidence from Four Cities in Shandong Province, China. Yang F, Ding L, Liu C, Xu L, Nicholas S, Wang J. Int J Environ Res Public Health; 2018 Oct 19; 15(10):. PubMed ID: 30347677 [Abstract] [Full Text] [Related]
8. Residents' Willingness to Pay for Water Pollution Treatment and Its Influencing Factors: a Case Study of Taihu Lake Basin. Ouyang Z, Sun D, Liu G. Environ Manage; 2024 Sep 19; 74(3):490-504. PubMed ID: 38578325 [Abstract] [Full Text] [Related]
9. Ecological degradation of an inland river basin and an evaluation of the spatial and distance effect on willingness to pay for its improvement. Khan I, Zhao M, Khan SU. Environ Sci Pollut Res Int; 2018 Nov 19; 25(31):31474-31485. PubMed ID: 30203347 [Abstract] [Full Text] [Related]
12. Assessing the impact of farmers' willingness to pay on different cultivated land attribute levels in China: an empirical analysis using the choice experiment method. Li H, Xu M, Chang WY, Feng L. Sci Rep; 2024 Oct 10; 14(1):23648. PubMed ID: 39384580 [Abstract] [Full Text] [Related]
13. Preferences heterogeneity of health care utilization of community residents in China: a stated preference discrete choice experiment. Jiang MZ, Fu Q, Xiong JY, Li XL, Jia EP, Peng YY, Shen X. BMC Health Serv Res; 2020 May 18; 20(1):430. PubMed ID: 32423447 [Abstract] [Full Text] [Related]
15. Contingent Valuation of Residents' Attitudes and Willingness-to-Pay for Non-point Source Pollution Control: A Case Study in AL-Prespa, Southeastern Albania. Grazhdani D. Environ Manage; 2015 Jul 18; 56(1):81-93. PubMed ID: 25860594 [Abstract] [Full Text] [Related]
17. Public Preference Heterogeneity and Predicted Uptake Rate of Upper Gastrointestinal Cancer Screening Programs in Rural China: Discrete Choice Experiments and Latent Class Analysis. Liu R, Li Q, Li Y, Wei W, Ma S, Wang J, Zhang N. JMIR Public Health Surveill; 2023 Jul 10; 9():e42898. PubMed ID: 37428530 [Abstract] [Full Text] [Related]
18. Valuing Acute Health Risks of Air Pollution in the Jinchuan Mining Area, China: A Choice Experiment with Perceived Exposure and Hazardousness as Co-Determinants. Li Z. Int J Environ Res Public Health; 2019 Nov 18; 16(22):. PubMed ID: 31752192 [Abstract] [Full Text] [Related]
20. Prioritizing stakeholders' preferences for policy scenarios of vulnerable ecosystems with spatial heterogeneity in choice experiment: Coupling stated preferences with elevation. Khan A, Khan SU, Ali MAS, Khan AA, Zhao M. J Environ Manage; 2022 May 15; 310():114757. PubMed ID: 35220093 [Abstract] [Full Text] [Related] Page: [Next] [New Search]