首页> 外文OA文献 >Penerapan Regresi Kuadrat Terkecil Berbatas pada Pendugaan Fungsi Produksi Cobb-Douglas
【2h】

Penerapan Regresi Kuadrat Terkecil Berbatas pada Pendugaan Fungsi Produksi Cobb-Douglas

机译:最小二乘回归的应用仅限于估计Cobb-Douglas生产函数

摘要

This research aimed to estimate and analyse Cobb-Doglas production function of paddy farming and to evaluate return to scale of production, as well as to apply least square regression restricted by constant return to scale (CRTS) assumption. The results of estimation and analysis by unrestricted least square regression was statistically unsatisfactory. Some factors of production i.e. chemical and organic fertilizer as well as chemical pesticide were not significant. Moreover, chemical pesticide had negative elasticity of production which was implied negative marginal product and, thereby, meaning that the factor of production was overutilized and had negative effect to paddy production. Introducing restriction of CRTS assumption to Cobb-Doglas production function had considerably improved the results in three things. Firstly, the existence of restriction was significant so that it was no doubt about the restriction. Secondly, all factors of production were exhibited statistically significant meaning that they had important influences to paddy production. Thirdly, the elasticity of production of all factors of production were positive and less than one. It implied that the utilizing of those factors of production were in the stage II of neoclassical production function where it was more favourable choice to operate the production operation in terms of profit maximization.
机译:这项研究旨在评估和分析水稻耕作的Cobb-Doglas生产功能,并评估生产规模的回报,以及应用受恒定规模回报(CRTS)假设约束的最小二乘回归。无限制最小二乘回归的估计和分析结果在统计上不令人满意。一些生产要素,即化学和有机肥料以及化学杀虫剂并不重要。此外,化学农药具有负的生产弹性,这意味着负的边际产品,因此,这意味着生产要素被过度利用并对水稻生产产生不利影响。将CRTS假设限制引入Cobb-Doglas生产函数可以在三方面显着改善结果。首先,限制的存在意义重大,因此毫无疑问。其次,所有生产要素均显示出统计学意义,这意味着它们对稻米生产具有重要影响。第三,所有生产要素的生产弹性均为正且小于一个。这意味着对这些生产要素的利用处于新古典生产功能的第二阶段,从利润最大化的角度来看,生产经营是更有利的选择。

著录项

  • 作者

    Ikhsan, Sadik;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 ID
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

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