补贴
程式化事实
边距(机器学习)
碳排放税
自然资源经济学
经济
固碳
公顷
温室气体
碳纤维
业务
碳价格
宏观经济学
农业
市场经济
生态学
计算机科学
机器学习
复合数
生物
二氧化碳
算法
作者
Rong Li,Brent Sohngen,Xiaohui Tian
摘要
Abstract The economic potential of forest carbon sequestration is widely acknowledged. However, no consensus has been reached regarding the appropriate policy instrument for promoting carbon sequestration. In this study, we develop a dynamic framework to measure the effects and efficiencies of alternative carbon policies. A stylized optimal control model of the timber market is first employed to illustrate the mechanisms through which different policies affect the decision making of the forest sector at the extensive margin (i.e., changing forest areas) and the intensive margin (i.e., changing harvest ages). We then introduce carbon price projections and species‐specific production information into a multi‐age dynamic timber market model. Different carbon policies are simulated numerically. Our results reveal that a carbon tax on forest emissions without compensating for sequestration leads to net carbon emissions and, thus, is the least efficient policy choice. Further, policies that do not increases carbon uptake at the intensive margin result in very high efficiency losses. A per‐hectare land subsidy may be more than 10 times more expensive than a per‐ton carbon tax and subsidy policy or a carbon subsidy policy.
科研通智能强力驱动
Strongly Powered by AbleSci AI