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Second-best instruments for near-term climate policy: Intensity targets vs. the safety valve

机译:近期气候政策的第二好的工具:强度目标与安全阀

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Current proposals for greenhouse gas emissions regulations in the United States mainly take the form of emissions caps with tradable permits. Since Weitzman's (1974) [3] study of prices vs. quantities, economic theory predicts that a price instrument is superior under uncertainty in the case of stock pollutants. Given the general belief in the political infeasibility of a carbon tax in the US, there has been recent interest in two other policy instrument designs: hybrid policies and intensity targets. We extend the Weitzman model to derive an analytical expression for the expected net benefits of a hybrid instrument under uncertainty. We compare this expression to one developed by Newell and Pizer (2006) [6] for an intensity target, and show the theoretical minimum correlation between GDP and emissions required for an intensity target to be preferred over a hybrid. In general, we show that unrealistically high correlations are required for the intensity target to be preferred to a hybrid, making a hybrid a more practical instrument in practice. We test the predictions by performing Monte Carlo simulation on a computable general equilibrium model of the US economy. The results are similar, and we show with the numerical model that when marginal abatement costs are nonlinear, an even higher correlation is required for an intensity target to be preferred over a safety valve.
机译:美国目前有关温室气体排放法规的提议主要采取带有可交易许可证的排放上限的形式。自从Weitzman(1974)[3]对价格与数量的关系进行研究以来,经济学理论预测,在不确定的情况下,对于股票污染物而言,价格工具是优越的。考虑到人们普遍认为碳税在美国不可行,最近人们对另外两种政策工具设计产生了兴趣:混合政策和强度目标。我们扩展了Weitzman模型,以得出不确定性下混合工具的预期净收益的解析表达式。我们将该表达式与Newell和Pizer(2006)[6]针对强度目标开发的表达式进行了比较,并显示了强度目标优于混合动力目标所需的GDP与排放之间的理论最小相关性。总的来说,我们表明强度目标要比混合动力车更好需要虚幻的高相关性,从而使混合动力车在实践中成为更实用的工具。我们通过对美国经济的可计算一般均衡模型进行蒙特卡洛模拟来检验这些预测。结果相似,并且我们通过数值模型表明,当边际减排成本为非线性时,要求强度目标优于安全阀甚至需要更高的相关性。

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