标题: Distance to river basin affects residents? willingness to pay for ecosystem services: Evidence from the Xijiang river basin in China

作者: Cheng, P (Cheng, Peng); Tang, HT (Tang, Houtian); Zhu, SY (Zhu, Siyang); Jiang, P (Jiang, Ping); Wang, J (Wang, Jing); Kong, XS (Kong, Xuesong); Liu, K (Liu, Ke)

来源出版物: ECOLOGICAL INDICATORS 卷: 126 文献号: 107691 DOI: 10.1016/j.ecolind.2021.107691 出版年: JUL 2021

摘要: Residents? willingness to pay (WTP) for ecosystem services plays a key role in improving the functions of ecosystems. Previous studies have mainly focused on the differences in residents? WTP in the upper, middle, and lower reaches of river basins. However, the relationship between the vertical distance to river basins and residents? WTP for ecosystem services remains unclear. We conduct a questionnaire survey using a sample of 755 people from 32 villages in the Xijiang River Basin (XJRB), an important water system in China. The influence of the vertical distance to the XJRB on residents? WTP for ecosystem services is analyzed by using a multinomial logit model and latent class model. The key findings are as follows: (1) Residents? WTP for ecosystem services is significantly different with different distances to the XJRB. Respondents within a distance of 3 km to the XJRB have a stronger WTP. (2) The spatial heterogeneity of the influences of distance to the XJRB is well verified, and classifies residents into different latent groups. (3) Comparing WTP at the vertical distance level and horizontal level in the XJRB shows that residents have stronger overall preferences and latent group preferences at the vertical distance level. These findings contribute to our understanding of the relationship between spatial distance to the river basin and residents? WTP for ecosystem services, which should be useful in implementing differentiated river ecosystem service restoration policy.

入藏号: WOS:000647805700003

语言: English

文献类型: Article

作者关键词: River ecosystems; Willingness to pay; Preference heterogeneity; Choice experiment method; Latent class model

地址: [Cheng, Peng; Zhu, Siyang; Jiang, Ping; Wang, Jing; Kong, Xuesong] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Tang, Houtian] Cent South Univ, Sch Publ Adm, Changsha 410083, Hunan, Peoples R China.

[Wang, Jing] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China.

[Liu, Ke] Huazhong Agr Univ, Grad Sch, Wuhan 430070, Hubei, Peoples R China.

通讯作者地址: Kong, XS (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: xuesongk@gmail.com

影响因子：4.229