寒旱农业科学2024,Vol.3Issue(12):1091-1096,6.DOI:10.3969/j.issn.2097-2172.2024.12.003
基于曲线回归模型的甘肃农业劳动生产率增收效应研究
Study on the Income Increasing Effect of Agricultural Labor Productivity in Gansu Province Based on Curve Regression Model
摘要
Abstract
Agricultural labor productivity is the main factor affecting farmers'income.In order to study the income increasing effect of agricultural labor productivity,the'Gansu Development Yearbook'was used as the data source to analyze the relationship between agricultural labor productivity and farmers'income using a curve regression model.Results showed that agricultural labor productivity and farmers'income in Gansu Province showed a steady upward trend,and agricultural labor productivity had a significant income increasing effect on farmers'earnings.There was a strong positive correlation between agricultural labor productivity and farmers'income,which was extremely significant at the 1%significance level.The optimal curve regression model for agricultural labor productivity and farmers'income was a cubic model,which indicated that the per capita disposable income of rural residents was calculated as'19.377+0.557×(agricultural labor productivity)+3.046E-5×(agricultural labor productivity)2-1.625E-9×(agricultural labor productivity)3'.The increase in agricultural labor productivity could promote the rise in farmers'income,especially with significant impact on operational income.Therefore,improving agricultural labor productivity is the fundamental way to increase farmers'income.In the future,it is necessary to promote the specialization of agricultural labor,the scale of agricultural management,and improve the modernization level of agricultural development to effectively promote the improvement of agricultural labor productivity in Gansu Province,thereby increasing the income of farmers.关键词
农业劳动生产率/曲线回归模型/农民收益/增收效应/甘肃Key words
Agricultural labor productivity/Curve regression model/Farmers'income/Income increasing effect/Gansu分类
管理科学引用本文复制引用
任慧,张东伟,芦霁嘉..基于曲线回归模型的甘肃农业劳动生产率增收效应研究[J].寒旱农业科学,2024,3(12):1091-1096,6.基金项目
甘肃省科学技术厅软科学基金项目(22JR4ZA106) (22JR4ZA106)
甘肃省农业农村厅项目(KJZC-2023-22) (KJZC-2023-22)
甘肃省农业科学院科研结余资金支持项目(2024NJS01). (2024NJS01)