Incentives for carbon sequestration and energy production in low productivity collective forests in Southwest China

Kahrl, Fredrich; Su, Yufang; Tennigkeit, Timm; Wilkes, Andreas; Xu, Jianchu; Yan, Ming

doi:10.1016/j.biombioe.2012.01.043

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Hence, with the current low carbon price, the economic value of carbon sequestration is insignificant, and carbon sequestration cannot alone support establishment of an eco-compensation mechanism, where costs for compensation are many times higher. This is in line with findings from low productivity collective forests in the southwestern PRC where Kahrl et al (2012) reported that higher carbon prices of more than $40 would be needed to provide incentives for more productive forest management. The inclusion of soil carbon in calculations of carbon benefits could also significantly enhance the total carbon value.…”

Section: Integration Of Approachessupporting

confidence: 88%

“…This is in line with findings from low productivity collective forests in the southwestern PRC where Kahrl et al . () reported that higher carbon prices of more than $40 would be needed to provide incentives for more productive forest management. The inclusion of soil carbon in calculations of carbon benefits could also significantly enhance the total carbon value.…”

Section: Resultsmentioning

confidence: 99%

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Scaling up of Sustainable Land Management in the Western People's Republic of China: Evaluation of a 10‐Year Partnership

et al. 2014

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The People's Republic of China‐Global Environment Facility Partnership to Combat Land Degradation in Dryland Ecosystems promotes an integrated ecosystem management (IEM) approach to restore, sustain and enhance the productive capacity of dryland ecosystems. This paper provides an analysis and synthesis of the funding strategies, methods and approaches that have been applied and tested under the Partnership to pilot and scale up IEM and sustainable land management (SLM) practices in the western People's Republic of China under its first 10 years. On the basis of a mix of methods using literature reviews, data collection at selected pilot sites through household questionnaire surveys, stakeholder workshops and field sampling, the following lessons were generated: (i) mainstreaming of IEM into relevant policy and development frameworks has been the most effective way of mobilizing funding for scaling up of SLM; (ii) SLM best practices need to be combined with economic incentives for land users, and pilot demonstrations of SLM need to be integrated into larger investment programmes to achieve impacts and economies of scale; (iii) market‐based approaches to scaling up of SLM, such as payment for ecosystem services and public–private partnerships, have a role to play, but cost–benefit analysis need to be better integrated into payment schemes; (iv) the economic benefits of carbon sequestration are too low to fund eco‐compensation schemes on their own but can provide supplementary funding; and (v) land degradation and SLM monitoring and assessment systems should be multiscale to support decision‐making on SLM and to monitor impact from the local to the national level. Copyright © 2014 Asian Development Bank

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Section: Integration Of Approachessupporting

confidence: 88%

Section: Resultsmentioning

confidence: 99%

Scaling up of Sustainable Land Management in the Western People's Republic of China: Evaluation of a 10‐Year Partnership

et al. 2014

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“…As land and forest biomass resources are scarce in China, it is 43 important to ensure that policy is informed on the magnitude of trade-offs and that decisions are 44 based on a reasonable assessment of benefits and costs. A second paper on China by Kahrl et al 45 [9] examined the incentives for carbon sequestration and energy production in low productivity 46 collective forests in Southwest China. The paper developed three scenarios for the management 47 of an existing collective forest plot in a mountainous area, examining economic incentives and 48…”

Section: Lessons From the Re-impact Projectmentioning

confidence: 99%