Establishment and verification of labor demand estimation model in planting industry

作     者：Xu Bing Wang Fulin Wang Jiquan Zhao Shengxue 

作者机构：College of EngineeringNortheast Agricultural UniversityHarbin 150030China 

出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)

年 卷 期：2017年第10卷第6期

页      面：86-93页

核心收录：

学科分类：0710[理学-生物学] 0810[工学-信息与通信工程] 0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by National Social Science Foundation of China(13BJY098) Social Science Foundation of Heilongjiang Province(16JYB06) 

主　　题：planting industry labor estimation model case verification forecast evaluation 

摘      要：In view of the poor precision of the theoretical model of labor demand estimation,it is difficult to estimate and predict the actual production problems *** on the actual production conditions and the relationship between the degree of mechanization of planting and the demand of labor force,this study established an estimation model for the labor demand of planting industry considering the factors of planting structure and mechanization *** order to ensure high reliability of data,the method of checking out abnormal data was adopted to obtain the cultivated land area index when the mechanization degree is from 0 to 100%.Taking Suihua region(Heilongjiang Province,China)as an example,the theory of the research was analyzed and *** study accessed to the data of cultivated land area per labor can afford when the mechanization level in Suihua area were 0 and 100%respectively through the investigation,and the average cultivated land area data of each labor force in two cases were sorted out and the abnormal data were eliminated at the same ***,using the derived model,the data obtained and the mechanization level and cultivated land area of Suihua in the future,the labor demand amount in Suihua area from 2015 to 2019 were *** model established in this study can be used to calculate the quantity of both current labor demand in planting industry and the labor demand in the various moments in the future through forecasting the future mechanization level and cultivated area which are the two main factors influencing the quantity of labor demand in planting structure.