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AI 根据所提供的论文材料归类:摘要明确研究政策效应,使用局部均衡模型,并比较城乡家庭福利与贫困的分布影响。

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粮食用于燃料:美国生物燃料强制政策对印度贫困的影响

研究问题
美国可再生燃料强制政策如何通过世界粮价、印度国内价格及家庭消费和工资收入,影响城乡福利与贫困?
方法与思路
作者结合家庭调查与局部均衡模型,估计食品价格冲击及其向印度的传导,再评估消费支出和工资变化的福利影响。
材料陈述的贡献
摘要估计该政策导致印度新增约2500万贫困人口,其中农村2100万、城市400万;农业工资上涨部分抵消农村消费损失。
阅读关注点
应核对粮价反事实、国内价格传导与工资响应的估计依据,以及家庭福利测算、贫困线和模型不确定性的处理。
阅读边界
仅依据所给Crossref摘要,无法判断政策效应的识别力度、模型设定敏感性及贫困人数估计的精度,也不推断其他版本变化。

原文摘要

More than 40 % of US grain is used for energy due to the Renewable Fuel Mandate (RFS). There are no studies of the global distributional consequences of this purely domestic policy. Using micro‐level survey data, we trace the effect of the RFS on world food prices and their impact on household level consumption and wage incomes in India. We first develop a partial equilibrium model to estimate the effect of the RFS on the price of selected food commodities—rice, wheat, corn, sugar, and meat and dairy, which together provide almost 70 % of Indian food calories. Our model predicts that world prices for these commodities rise by 8– 16 % due to the RFS. We estimate the price pass‐through to domestic Indian prices and the effect of the price shock on household welfare through consumption and wage incomes. Poor rural households suffer significant welfare losses due to higher prices of consumption goods, which are regressive. However, they benefit from a rise in wage incomes, mainly because most of them are employed in agriculture. Urban households also bear the higher cost of food, but do not see a concomitant rise in wages because only a small fraction of them work in food‐related industries. Welfare losses are greater among urban households. However, more poor people in India live in villages, so rural poverty impacts are larger in magnitude. We estimate that the mandate leads to about 25 million new poor: 21 million in rural and 4 million in the urban population.

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