Mitigating methane emissions from livestock: a global analysis of sectoral policies

被引:0
作者
Nigel Key
Gregoire Tallard
机构
[1] Economic Research Service,
[2] U.S. Department of Agriculture,undefined
[3] Organisation for Economic Co-operation and Development,undefined
来源
Climatic Change | 2012年 / 112卷
关键词
Methane Emission; Clean Development Mechanism; Emission Trading Scheme; Clean Development Mechanism Project; Enteric Fermentation;
D O I
暂无
中图分类号
学科分类号
摘要
Methane emissions from livestock enteric fermentation and manure management represent about 40% of total anthropogenic greenhouse gas emissions from the agriculture sector and are projected to increase substantially in the coming decades, with most of the growth occurring in non-Annex 1 countries. To mitigate livestock methane, incentive policies based on producer-level emissions are generally not feasible because of high administrative costs and producer transaction costs. In contrast, incentive policies based on sectoral emissions are likely administratively feasible, even in developing countries. This study uses an economic model of global agriculture to estimate the effects of two sectoral mitigation policies: a carbon tax and an emissions trading scheme based on average national methane emissions per unit of commodity. The analysis shows how the composition and location of livestock production and emissions change in response to the policies. Results illustrate the importance of global mitigation efforts: when policies are limited to Annex 1 countries, increased methane emissions in non-Annex 1 countries offset approximately two-thirds of Annex 1 emissions reductions. While non-Annex 1 countries face substantial disincentives to enacting domestic carbon taxes, developing countries could benefit from participating in a global sectoral emissions trading scheme. We illustrate one scheme in which non-Annex 1 countries collectively earn USD 2.4 billion annually from methane emission permit sales when methane is priced at USD 30/t CO2-eq.
引用
收藏
页码:387 / 414
页数:27
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