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Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects

The accurate monitoring and measurement of emission reductions is a critical step in Reducing Emissions from Deforestation and Degradation (REDD+). However, the existence of uncertainty in emission reduction estimates affects the performance of REDD+ projects. We assert that incentive could be a val...

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Detalles Bibliográficos
Autores principales: Sheng, Jichuan, Zhou, Weihai, de Sherbinin, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069055/
https://www.ncbi.nlm.nih.gov/pubmed/30037069
http://dx.doi.org/10.3390/ijerph15071544
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author Sheng, Jichuan
Zhou, Weihai
de Sherbinin, Alex
author_facet Sheng, Jichuan
Zhou, Weihai
de Sherbinin, Alex
author_sort Sheng, Jichuan
collection PubMed
description The accurate monitoring and measurement of emission reductions is a critical step in Reducing Emissions from Deforestation and Degradation (REDD+). However, the existence of uncertainty in emission reduction estimates affects the performance of REDD+ projects. We assert that incentive could be a valuable policy tool for reducing monitoring errors and transaction costs. Using Stackelberg models and simulation research, this paper examines the effects of uncertainty and incentive on performance and stakeholder benefits of REDD+ projects. Finally, the uncertainties in REDD+ projects are further discussed, and equilibrium errors, emission reductions, and stakeholder benefits in different scenarios are compared. The results show that errors do affect the measured value of carbon emissions and compensation payments. However, incentive for investors can reduce monitoring errors and improve the performance of REDD+ projects. Therefore, in the future, incentive should be provided to investors rather than landholders.
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spelling pubmed-60690552018-08-07 Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects Sheng, Jichuan Zhou, Weihai de Sherbinin, Alex Int J Environ Res Public Health Article The accurate monitoring and measurement of emission reductions is a critical step in Reducing Emissions from Deforestation and Degradation (REDD+). However, the existence of uncertainty in emission reduction estimates affects the performance of REDD+ projects. We assert that incentive could be a valuable policy tool for reducing monitoring errors and transaction costs. Using Stackelberg models and simulation research, this paper examines the effects of uncertainty and incentive on performance and stakeholder benefits of REDD+ projects. Finally, the uncertainties in REDD+ projects are further discussed, and equilibrium errors, emission reductions, and stakeholder benefits in different scenarios are compared. The results show that errors do affect the measured value of carbon emissions and compensation payments. However, incentive for investors can reduce monitoring errors and improve the performance of REDD+ projects. Therefore, in the future, incentive should be provided to investors rather than landholders. MDPI 2018-07-21 2018-07 /pmc/articles/PMC6069055/ /pubmed/30037069 http://dx.doi.org/10.3390/ijerph15071544 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sheng, Jichuan
Zhou, Weihai
de Sherbinin, Alex
Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects
title Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects
title_full Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects
title_fullStr Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects
title_full_unstemmed Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects
title_short Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects
title_sort uncertainty in estimates, incentives, and emission reductions in redd+ projects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069055/
https://www.ncbi.nlm.nih.gov/pubmed/30037069
http://dx.doi.org/10.3390/ijerph15071544
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