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Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept

To alleviate the deteriorating environment and protect biodiversity, China has implemented a natural forest protection system, demonstrating the importance of sustainable forest management for ecological conservation and socio-economic development, including the complete cessation of commercial logg...

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Autores principales: Liao, Wenmei, Ye, Danyang, Yuan, Ruolan, Zhang, Yaoqi, Deng, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450306/
https://www.ncbi.nlm.nih.gov/pubmed/36637231
http://dx.doi.org/10.1177/00368504221145563
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author Liao, Wenmei
Ye, Danyang
Yuan, Ruolan
Zhang, Yaoqi
Deng, Qian
author_facet Liao, Wenmei
Ye, Danyang
Yuan, Ruolan
Zhang, Yaoqi
Deng, Qian
author_sort Liao, Wenmei
collection PubMed
description To alleviate the deteriorating environment and protect biodiversity, China has implemented a natural forest protection system, demonstrating the importance of sustainable forest management for ecological conservation and socio-economic development, including the complete cessation of commercial logging of natural forests. Financial compensation is adopted to increase farmers’ enthusiasm within the commercial Logging Ban of Natural Forests framework. This study used the contingent valuation method and the Heckman two-stage model to explore farmers’ willingness to participate in the Logging Ban of Natural Forests and the willingness to accept by survey data on 486 farming households. 72% of farmers are willing to join the Logging Ban of Natural Forests. Their willingness to accept is 517.95 yuan/ha per year, higher than the current state subsidy standard (225 yuan/ha per year). The key factors influencing willingness to accept include the education and degree of fragmentation of woodland and village collective willingness to accept. The age of the rural household head, the fragmentation of the forest, and the evaluation of the Logging Ban of Natural Forests policies have inhibited the increase of farmers’ compensation. Farmers’ assessment of the Logging Ban of Natural Forests policy only impacts the medium level of compensation. The age and the degree of forest fragmentation would affect the higher compensation amount. The results from this study suggest more financial sources and increased compensation standards are needed. The government should also strengthen ecological awareness and adopt different compensation standards for other groups to achieve sustainable forestry.
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spelling pubmed-104503062023-08-26 Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept Liao, Wenmei Ye, Danyang Yuan, Ruolan Zhang, Yaoqi Deng, Qian Sci Prog Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies To alleviate the deteriorating environment and protect biodiversity, China has implemented a natural forest protection system, demonstrating the importance of sustainable forest management for ecological conservation and socio-economic development, including the complete cessation of commercial logging of natural forests. Financial compensation is adopted to increase farmers’ enthusiasm within the commercial Logging Ban of Natural Forests framework. This study used the contingent valuation method and the Heckman two-stage model to explore farmers’ willingness to participate in the Logging Ban of Natural Forests and the willingness to accept by survey data on 486 farming households. 72% of farmers are willing to join the Logging Ban of Natural Forests. Their willingness to accept is 517.95 yuan/ha per year, higher than the current state subsidy standard (225 yuan/ha per year). The key factors influencing willingness to accept include the education and degree of fragmentation of woodland and village collective willingness to accept. The age of the rural household head, the fragmentation of the forest, and the evaluation of the Logging Ban of Natural Forests policies have inhibited the increase of farmers’ compensation. Farmers’ assessment of the Logging Ban of Natural Forests policy only impacts the medium level of compensation. The age and the degree of forest fragmentation would affect the higher compensation amount. The results from this study suggest more financial sources and increased compensation standards are needed. The government should also strengthen ecological awareness and adopt different compensation standards for other groups to achieve sustainable forestry. SAGE Publications 2023-01-13 /pmc/articles/PMC10450306/ /pubmed/36637231 http://dx.doi.org/10.1177/00368504221145563 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies
Liao, Wenmei
Ye, Danyang
Yuan, Ruolan
Zhang, Yaoqi
Deng, Qian
Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
title Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
title_full Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
title_fullStr Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
title_full_unstemmed Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
title_short Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
title_sort financial compensation for natural forest logging ban: standard calculation based on willingness to accept
topic Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450306/
https://www.ncbi.nlm.nih.gov/pubmed/36637231
http://dx.doi.org/10.1177/00368504221145563
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