Journal article

Effect of Uncertainties in Estimated Carbon Reduction from Deforestation and Forest Degradation on Required Incentive Payments in Developing Countries

Jichuan Sheng

SUSTAINABILITY | MDPI | Published : 2017

Abstract

For reducing emissions from deforestation and forest degradation (REDD+) programs, it is particularly important that monitoring for emission reductions is tied to the revenues a developing country receives from REDD+ projects; any estimated uncertainties will have significant impacts on the emission reduction estimation and incentive scheme of REDD+. However, the effects of estimated uncertainties on incentives for developing countries have not been deeply discussed in the current literature. To fill this gap, two estimation approaches for emission reductions are introduced by considering the incentive coefficient by the principle of reliable minimum estimation. The relationship between esti..

View full abstract

Grants

Awarded by National Natural Science Foundation of China


Awarded by Philosophy and Social Science Foundation for Colleges and Universities in Jiangsu Province


Awarded by Opening Foundation of Institute for History of Science and Technology, NUIST


Awarded by Key Project of National Social and Scientific Fund Program


Awarded by National Industry-specific Topics


Funding Acknowledgements

The authors are grateful to the financial support provided by the National Natural Science Foundation of China (Nos. 71774088, 71303123, 91546117 and 71373131), Philosophy and Social Science Foundation for Colleges and Universities in Jiangsu Province (2016SJB630014), Opening Foundation of Institute for History of Science and Technology, NUIST (2016KJSKT015), Key Project of National Social and Scientific Fund Program (16ZDA047), and National Industry-specific Topics (GYHY 201506051). This paper is also funded by the Qing Lan Project and the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (TAPP).