...
首页> 外文期刊>International Journal of Agricultural and Biological Engineering >Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand
【24h】

Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand

机译:农业机械化水平与劳动力需求关系的估计模型改进与实证分析

获取原文
           

摘要

The research on the relationship between mechanization level in planting industry and labor demand was carried out based on the present literatures. The former estimation model of labor demand in planting industry was established without analyzing the effects of planting structure on labor demand in planting industry. The purpose of the research is to develop and perfect the theory of estimating both labor demand and rural surplus labor in planting industry, then to provide some theoretical references for scientific estimation. The model established in this research can be used to calculate not only the amount of current labor demand, but also the demand in the various moment of future according to forecasted mechanization level and cultivated areas. Furthermore, it was explored how to obtain the indexes of cultivated areas, mechanization level and the average cultivated area that each labor can burden when the mechanization level is 0 and 100%. According to statistics principle, the methods of inspection to eliminate abnormal data and data processing were given in order to make the data more credible. Finally, an example was presented for demonstration purposes. Keywords: agricultural mechanization level, planting industry, labor demand, estimation model, data acquisition, crop production DOI: 10.3965/j.ijabe.20160902.2188 Citation: Wang F L, Zhao S X, Fu X M. Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand. Int J Agric & Biol Eng, 2016; 9(2): 48-53.
机译:在此基础上,对种植业机械化水平与劳动力需求之间的关系进行了研究。在没有分析种植结构对种植业劳动力需求的影响的情况下,建立了种植业劳动力需求的先前估计模型。本研究的目的是发展和完善估算种植业劳动力需求和农村剩余劳动力的理论,为科学估算提供一些理论参考。本研究建立的模型不仅可以用来计算当前的劳动力需求量,还可以根据预测的机械化水平和耕地面积来计算未来各个时刻的需求。此外,探讨了如何获得机械化水平为0%和100%时每个劳动者可以负担的耕地面积指数,机械化水平和平均耕地面积。根据统计原理,提出了消除异常数据的检查方法和数据处理方法,以使数据更加可信。最后,给出了一个示例以进行演示。关键词:农业机械化水平,种植业,劳动力需求,估计模型,数据采集,作物生产DOI:10.3965 / j.ijabe.20160902.2188引文:王福林,赵圣贤,付新民。改进的估计模型和两者之间关系的实证分析农业机械化水平和劳动力需求。国际农业与生物工程杂志,2016; 9(2):48-53。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号