劳动力弹性、市场失灵和分配不当:来自印度农业的证据

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Joshua D. Merfeld
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引用次数: 0

摘要

这篇文章提供了印度农村农业中家庭分配不当的证据。我表明,家庭人口统计预测了小农户的自有农场劳动力需求,而不是非小农户。一个简单的劳动力分配模型预测了这种双重性的明显后果:与非小农户相比,小农户在不同地块之间重新分配劳动力对价格变化的反应更少。详细的家庭面板数据证实了这一理论预测。另外三个事实表明,缺乏非农劳动力机会可能是小农户行为的部分原因,导致小农户将劳动力过度分配给农业生产。首先,当他们自己的作物价格上涨时,小农户报告的非自愿失业时间减少了。其次,同样面积地块上的小农户的产量要高得多。最后,小农户估计的边际劳动收入产品一直较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Labor elasticities, market failures, and misallocation: Evidence from Indian agriculture

This article presents evidence of misallocation across households in rural Indian agriculture. I show that household demographics predict own farm labor demand for smallholder farmers but not non-smallholder farmers. A simple model of labor allocation predicts a clear consequence of this duality: smallholder farmers will reallocate labor across plots less in response to price changes than non-smallholders. Detailed household panel data confirms this theoretical prediction. Three additional facts suggest that a lack of off-farm labor opportunities may be partly responsible for the behavior of smallholders, leading smallholders to over allocate labor to agricultural production. First, smallholders report fewer hours of involuntary unemployment when their own crop prices increase. Second, yield is substantially higher for smallholders on plots of the same size. Finally, estimated marginal revenue products of labor are consistently lower for smallholders.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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