...
首页> 外文期刊>Journal of Agribusiness and Rural Development >Economic Efficiency of Rice Farming:A Stochastic Frontier Analysis Approach
【24h】

Economic Efficiency of Rice Farming:A Stochastic Frontier Analysis Approach

机译:水稻农业经济效率:随机前沿分析方法

获取原文
           

摘要

The future of agriculture is dependent on increase in the use of resources at disposal, it is therefore imperative that strategies to increase agricultural growth should be directed towards increasing efficiency of smallholder farming operations and resource utilization.This study examined the economic efficiency of rice production.Multistage sampling procedure was used to select 240 rice farmers with the aid of a structured questionnaire.Data collected were analyzed with descriptive techniques, Stochastic Frontier Analysis (SFA) and Tobit regression model.The SFA result revealed that input variables such as seed, herbicide and pesticide were positive and had significant effect on rice output.The rice farmers were able to maximize their output by 74% at lowest minimum cost possible.Furthermore, economic efficiency was positively influenced by age, level of education, membership of farmers association, access to public market and access to health facilities while household size, farming experience, bad road condition and distance to nearest market had negative effects.The study concluded that rice farmers were inefficient.Therefore, in order to raise rice production efficiency and improve the livelihood of smallholder farmers, farmers should attend formal and informal education as it is a key policy issue in the study area, farmers should strengthen the existing association structures and organize new farmer’s associations.Also, the local and regional governments were encouraged to provide good road networks, and public market that will enable farmers dispose their produce at attractive places and prices of their choice.
机译:农业的未来依赖于利用资源的利用,因此必须迫切需要增加农业增长的战略,以提高小农养殖业务和资源利用的效率。研究审查了大米生产的经济效益。多级采样程序用于通过描述性技术,随机前沿分析(SFA)和Tobit回归模型来选择240个稻米农民。收集的数据,随机前沿分析(SFA)和Tobit回归模型分析。SFA结果表明,种子,除草剂等输入变量杀虫剂是积极的,对水稻产量产生显着影响。稻米农民能够以最低最低成本最大化74%的产量。繁多,经济效率受年龄的积极影响,教育水平,农民协会的成员国,进入公共市场和家庭规模,农业的卫生设施经验,不良的道路状况和距离最近市场的距离产生负面影响。这项研究得出结论,稻米农民效率低效。因此,为了提高水稻生产效率,提高小农农民的生计,农民应参加正式和非正规教育在研究领域的一个关键政策问题,农民应加强现有的协会结构,组织新的农民的协会。鼓励当地和区域各国政府提供良好的道路网络,以及将使农民能够在有吸引力的地方处理其生产的公共市场和他们选择的价格。

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