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Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region

The evaluation of grassland ecosystem restoration benefit considering herdsmen's preference is an important reference for the formulation of grassland protection policy. This study aims to evaluate the marginal benefits of grassland ecosystem services by using choice experiment and mixed logit...

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Autores principales: Cai, Yu, Zhao, Minjuan, Shi, Yuxing, Khan, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7361097/
https://www.ncbi.nlm.nih.gov/pubmed/32834781
http://dx.doi.org/10.1016/j.ecolind.2020.106705
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author Cai, Yu
Zhao, Minjuan
Shi, Yuxing
Khan, Imran
author_facet Cai, Yu
Zhao, Minjuan
Shi, Yuxing
Khan, Imran
author_sort Cai, Yu
collection PubMed
description The evaluation of grassland ecosystem restoration benefit considering herdsmen's preference is an important reference for the formulation of grassland protection policy. This study aims to evaluate the marginal benefits of grassland ecosystem services by using choice experiment and mixed logit (ML) model, and a latent class model (LCM) is estimated to identify and explain the heterogeneity of herdsmen's preference for the various functions of the grassland ecosystem, so as to estimate the benefits of grassland ecosystem restoration in Siziwang Banner and Damao Banner of Inner Mongolia Autonomous Region. The results reveal that the restoration benefit of the grassland ecosystem in the two banners is nearly 341.1 million RMB per year. The application of latent class model highlights three potential segments of the herdsmen with different preferences. The social, economic and environmental attitudinal characteristics of herdsmen have significant impacts on their preferences. Thus, to improve the universality of grassland ecological restoration policy, herdsmen's preferences should be thoroughly investigated before policy formulation and implementation. Meanwhile, it is important to publicize the grassland ecosystem services, to popularize the role of wildlife in the ecosystem, and to realize the benign interaction between wildlife protection and animal husbandry development.
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spelling pubmed-73610972020-07-15 Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region Cai, Yu Zhao, Minjuan Shi, Yuxing Khan, Imran Ecol Indic Article The evaluation of grassland ecosystem restoration benefit considering herdsmen's preference is an important reference for the formulation of grassland protection policy. This study aims to evaluate the marginal benefits of grassland ecosystem services by using choice experiment and mixed logit (ML) model, and a latent class model (LCM) is estimated to identify and explain the heterogeneity of herdsmen's preference for the various functions of the grassland ecosystem, so as to estimate the benefits of grassland ecosystem restoration in Siziwang Banner and Damao Banner of Inner Mongolia Autonomous Region. The results reveal that the restoration benefit of the grassland ecosystem in the two banners is nearly 341.1 million RMB per year. The application of latent class model highlights three potential segments of the herdsmen with different preferences. The social, economic and environmental attitudinal characteristics of herdsmen have significant impacts on their preferences. Thus, to improve the universality of grassland ecological restoration policy, herdsmen's preferences should be thoroughly investigated before policy formulation and implementation. Meanwhile, it is important to publicize the grassland ecosystem services, to popularize the role of wildlife in the ecosystem, and to realize the benign interaction between wildlife protection and animal husbandry development. Elsevier Ltd. 2020-10 2020-07-15 /pmc/articles/PMC7361097/ /pubmed/32834781 http://dx.doi.org/10.1016/j.ecolind.2020.106705 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Cai, Yu
Zhao, Minjuan
Shi, Yuxing
Khan, Imran
Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region
title Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region
title_full Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region
title_fullStr Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region
title_full_unstemmed Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region
title_short Assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from Inner Mongolia Autonomous Region
title_sort assessing restoration benefit of grassland ecosystem incorporating preference heterogeneity empirical data from inner mongolia autonomous region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7361097/
https://www.ncbi.nlm.nih.gov/pubmed/32834781
http://dx.doi.org/10.1016/j.ecolind.2020.106705
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