Spatial prioritization of willingness to pay for ecosystem services. A novel notion of distance from origin's impression.

Choice modeling Distance from origin, mixed logit Ecological attributes Heihe river basin Spatial heterogeneity Willingness to pay

Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 22 03 2019
accepted: 13 09 2019
pubmed: 16 12 2019
medline: 28 5 2020
entrez: 16 12 2019
Statut: ppublish

Résumé

Valuation of environmental goods and services are frequently spatially heterogeneous, the significance of this heterogeneity for policy analysis is gradually recognized. For the valuation of environmental goods and services in the context of attaining a better environmental status across Heihe River basin (HRB), Northwest of China by 2020, a survey was conducted employing choice experiment approach across the entire river basin. In this research we estimate the impact of distance from inland rivers' origin (spatial attribute) on the inhabitants' willingness to pay for restoration of ecological attributes. A total of 11 ecological attributes were selected including 6 land related attributes and 5 water related attributes. The present study displays the outcomes of the research planned to examine differences in willingness to pay across different locations/distances. A total of five cities and 33 surround villages/townships were included to examine for location effect, while four ad hoc base distances split samples were recognized for distance effect i.e. ≤100 km, ≤200 km, ≤300 and > 300 km from rivers' origin. The results of mixed logit model recognized that people living at different locations value the attributes differently. For instance the people of Zhangye region are willing to pay RMB 95.66 annually for improvements in biodiversity while in Gaotai the individuals' willingness to pay (WTP) for the same attributes was RMB 45.68. Similarly, the respondents' living nearer to the origin of river were willing to pay relatively higher amount for the upgradation in the degraded ecosystem services than the remainders. The results of willingness to pay obtained by Krinsky Robb method confirmed that the attributes quality of agricultural products and water quality were the most preferred attributes with the willingness to pay RMB 91.09 and 122.89 respectively. The significant results of willingness to pay may serve as a reference for sustainable improvements and uplifting of the degraded ecological attributes.

Identifiants

pubmed: 31838703
doi: 10.1007/s11356-019-06538-4
pii: 10.1007/s11356-019-06538-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3100-3112

Subventions

Organisme : National Social Science major Foundation of China
ID : 15ZDA052

Références

Environ Sci Pollut Res Int. 2018 Nov;25(31):31474-31485
pubmed: 30203347
Environ Sci Pollut Res Int. 2019 Mar;26(7):6911-6921
pubmed: 30644048
J Environ Manage. 2003 Jul;68(3):297-304
pubmed: 12837258
Sci Total Environ. 2019 Aug 20;679:126-135
pubmed: 31082587
J Environ Manage. 2012 Sep 15;106:22-9
pubmed: 22562008

Auteurs

Sufyan Ullah Khan (SU)

College of Forestry, Northwest A&F University, Yangling, 712100, Shaanxi, China.

Guobin Liu (G)

Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, Shaanxi, China. gbliu@ms.iswc.ac.cn.

Minjuan Zhao (M)

College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China. minjuan.zhao@nwsuaf.edu.cn.

Hsiaoping Chien (H)

Japan International Research Center for Agricultural Sciences, 1-1 Ohwashi, Tsukuba, Ibaraki, 305-8686, Japan.

Qian Lu (Q)

College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China.

Arshad Ahmad Khan (AA)

College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China.

Muhammad Abu Sufyan Ali (MAS)

College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Department of Entomology, The University of Agriculture, Peshawar, Pakistan.

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