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Quantitative Study of Underemployment in Agricultural Sector of Thailand Using Farm Village Development Database

利用农村发展数据库对泰国农业部门就业不足进行定量研究

基本信息

批准号：
14560193
负责人：
SHINTANI Masahiko
金额：
$ 1.86万
依托单位：
Seinan Gakuin University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14560193/
关键词：
Agricultural Sector in Thailand Farm Village Development Database Production Function Marginal Productivity of Labor Underemployment Stochastic Frontier Production Function

项目摘要

Previous work on the estimation of agricultural production functions using Farm Village Development Database of Thailand from 1986 to 2003 was unsatisfactory from both statistical and economic points of view. When the alternative data based on micro-data from agricultural household survey in 1997 and 1998 conducted in three villages(Wang Yang, Jora Kae Yai, and Sa Ka Chum)from Suphan Bri province in Central Plain by Ohtsuka, Isvilanonda, and Hossain and others is used, estimated production functions become more preferable and credible. By comparing the marginal productivity of labor obtained from the estimated production function and the wage rate at the individual household level, we find that the two thirds of total agricultural households use optimal labor input and the remaining one third use more than optimal labor input. This contrasts the fact that, at the aggregate level, the average agricultural household uses optimal labor input. In 2002, Shintani also conducted a survey in the same three villages, and obtained good estimates of production functions. Similar results on the optimal and non-optimal labor inputs are again obtained by comparing the marginal productivity of labor and the wage rate. In conclusion, I confirm the existence of the underemployment in some parts of the agricultural households at the individual level, while the underemployment is not observed at the aggregate level or on average. In the analysis, both traditional production function and stochastic frontier production function are estimated.

从统计和经济的角度来看，1986年至2003年利用泰国农村发展数据库估算农业生产函数的工作都不能令人满意。当使用Ohtsuka、Isvilanonda和Hossain等人1997年和1998年在中原Suphan Bri省的三个村庄（Wang Yang、Jora Kae Yai和Sa Ka Chum）进行的农业住户调查的微观数据的替代数据时，估计的生产函数变得更可取和可信。通过比较由估计的生产函数得到的劳动边际生产率和单个农户的工资率，我们发现，三分之二的农户使用了最优劳动投入，其余三分之一的农户使用了超过最优劳动投入的劳动。这与以下事实形成了对比：在总体水平上，普通农户使用最佳劳动力投入。2002年，Shintani也在这三个村庄进行了调查，并获得了生产函数的良好估计。通过比较劳动的边际生产率和工资率，也得到了关于最优和非最优劳动投入的类似结果。最后，我确认在个体层面上，部分农业家庭存在就业不足，而在总体层面或平均水平上没有观察到就业不足。在分析中，传统的生产函数和随机前沿生产函数的估计。