Population Research ›› 2018, Vol. 42 ›› Issue (2): 54-69.
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Zhao Weijun1,Jiao Binlong2 and Han Yuanyuan3
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赵卫军1,焦斌龙2,韩媛媛3
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Abstract: It has been controversial in measuring stock of agricultural surplus labor using man?days conversion method due to different definitions of reasonable and effective man?days of the agriculturallabor force.In this paper,we make corrections to the man?days conversion method by constructing the utility man?days conversion model.The seasonal index and the weather changing index are introduced to determine the reasonable working load man?days.On the premise of utility maximization of par consciousness, the utility maximization man?days is determined. Agricultural labor force knowledge coefficient and agricultural technology index are introduced to determine the effective man?days of agricultural labor force. The surplus man?days are determined on the basis of reasonable working load man?days and effective man?days. The agricultural surplus labor time is converted into the quantity of agriculture surplus labor force through two kinds of representation of productivity.In addition,China’s agricultural surplus labor stock in 1984~2050 is estimated and predicted by the model.The analyses are evaluated by comparing the results with those of other scholars.
Keywords: Man?days Conversion Method, Agricultural Surplus Labor Force, Agricultural Surplus Labor Time, Utility Man?days Conversion Model, Utility Maximization
摘要: 由于学界对农业劳动力合理工日和有效工日的界定存在差别,导致用工日折算法测度农业剩余劳动力存量得出的结果争议也很大。 文章通过构建效用工日折算模型对工日折算法进行一定程度的修正:(1)引入季节性指数和天气变化指数来确定合理工作负荷工日;(2)以“看齐意识”下的效用最大化为基础确定效用最大化工日;(3)引入农业劳动力知识系数和农业技术指数来确定农业劳动力的有效工日;(4)在合理工作负荷工日和有效工日的基础上确定剩余工日;(5)通过劳动生产率的两种表示方法把农业剩余劳动时间折算成农业剩余劳动力数量。 此外,该模型对 1984 ~ 2050年中国农业剩余劳动力存量进行估算和预测,并在与其他学者研究比较的同时做出评价和分析。
关键词: 工日折算法, 农业剩余劳动力, 农业剩余劳动时间, 效用工日折算模型, 效用最大化
Zhao Weijun,Jiao Binlong and Han Yuanyuan. Estimation and Prediction of China’s Agricultural Surplus Labor Stock in 1984~2050[J]. Population Research, 2018, 42(2): 54-69.
赵卫军,焦斌龙,韩媛媛. 1984-2050年中国农业剩余劳动力存量估算和预测[J]. 人口研究, 2018, 42(2): 54-69.
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https://rkyj.ruc.edu.cn/EN/Y2018/V42/I2/54