畜牧与饲料科学 ›› 2022, Vol. 43 ›› Issue (3): 77-82.doi: 10.12160/j.issn.1672-5190.2022.03.013

• 畜牧经济与信息 • 上一篇    下一篇

内蒙古呼和浩特市苜蓿种植经济效益分析——以土默特左旗苜蓿种植园区为例

刘峪廷1, 靳慧卿2, 尔墩扎玛2, 刘丽平3, 米福贵1   

  1. 1.内蒙古农业大学草原与资源环境学院,内蒙古 呼和浩特 010011;
    2.内蒙古呼和浩特市农牧局,内蒙古 呼和浩特 010011;
    3.内蒙古正时生态农业集团有限公司,内蒙古 呼和浩特 010011
  • 收稿日期:2022-03-01 发布日期:2022-05-24
  • 通讯作者: 米福贵(1959—),男,教授,博士,博士生导师,主要从事牧草种质资源及育种研究工作。
  • 作者简介:刘峪廷(1998—),女,硕士研究生,主要研究方向为苜蓿投入产出经济效益分析。

Economic Benefit Analysis of Alfalfa Planting in Hohhot City,Inner Mongolia——Taking Alfalfa Planting Park in Tumed Left Banner as an Example

LIU Yu-ting1, JIN Hui-qing2, Erdunzhama2, LIU Li-ping3, MI Fu-gui1   

  1. 1. College of Grassland,Resources and Environment,Inner Mongolia Agricultural University,Hohhot 010011,China;
    2. Agriculture and Animal Husbandry Bureau of Hohhot City of Inner Mongolia,Hohhot 010011,China;
    3. Inner Mongolia Zhengshi Ecological Agriculture Group Co.,Ltd.,Hohhot 010011,China
  • Received:2022-03-01 Published:2022-05-24

摘要: [目的]对内蒙古呼和浩特市“优质牧草技术攻关项目”位于土默特左旗国家现代化农业示范区的苜蓿种植园区进行苜蓿种植经济效益分析,为调整该地区种植业结构、促进苜蓿产业发展提供参考。[方法]收集该种植园区苜蓿种植过程中种子、农药、机械燃油等6类投入要素数据,利用柯布—道格拉斯(Cobb-Douglas)生产函数模型对一级和二级产出要素进行回归分析。[结果]一级产出模型中,6类投入要素中的机械燃油投入和农药投入对利润具有负向影响,其余各要素均对利润具有正向影响,种子投入具有显著(P<0.05)影响。二级产出模型中,种子、化肥、水电投入与苜蓿产量具有正相关关系。利润产出模型为:Y产出=4.532 503-0.265 386X种子+0.638 345X化肥-2.988 071X水电+5.506 927X机械燃油-2.662 652X人工-2.895 284X农药。产量产出模型为Y产出=18.740 580+1.415 616X种子+0.252 048X化肥+0.371 124X水电+0.497 999X机械燃油+0.060 733X人工+0.184 595X农药。种子、化肥、水电、机械燃油、农药、人工投入边际产量分别为7.981、0.472、0.549、5.301、0.475、3.176 kg/hm2。苜蓿种植各类投入要素中机械燃油投入占比最大,为44.59%,现阶段苜蓿种植处于规模报酬递增阶段。苜蓿种子和机械燃油投入的边际产量远大于零,增加此两项投入可以实现苜蓿增产。[结论]该地区苜蓿生产实践中应加大种子、农药、机械燃油的投入,并适当控制其他要素投入。

关键词: 苜蓿产业, 柯布—道格拉斯生产函数;, 经济效益分析, 呼和浩特市

Abstract: [Objective] To assess the economic benefit of alfalfa planting in a alfalfa planting park, locating in the national modern agricultural demonstration area of Tumed Left Banner, Hohhot City, Inner Mongolia, where the ′high-quality forage technology research project′ is implemented, so as to provide guidance for adjusting the planting structure and promoting the development of the alfalfa industry in this area. [Method] Data of six categories of input factors during alfalfa planting process in the surveyed alfalfa planting park, such as seed, pesticide and mechanical fuel oil, were collected. The primary and secondary output factors were regressed and evaluated using the Cobb-Douglas production function model. [Result] Among the six categories of input factors, the mechanical fuel oil and pesticide inputs had negative influences on profit of alfalfa planting in the primary output model, whereas the remaining inputs had positive impacts, with the seed input having a significant (P<0.05) impact. Seed, chemical fertilizer as well as water and electricity inputs all exhibited a positive connection with alfalfa yield in the secondary output model. The profit output model was: Youtput=4.532 503-0.265 386Xseed+0.638 345Xchemical fertilizer-2.988 071Xwater and electricity+5.506 927Xmechanical fuel oil-2.662 652Xlabor-2.895 284Xpesticide. The yield output model was: Youtput=18.740 580+1.415 616Xseed+0.252 048Xchemical fertilizer+0.371 124Xwater and electricity+0.497 999Xmechanical fuel oil+0.060 733Xlabor+0.184 595Xpesticide. The marginal yield of seed, chemical fertilizer, water and electricity, mechanical fuel oil, pesticide and labor inputs were 7.981, 0.472, 0.549, 5.301, 0.475 and 3.176 kg/hm2, respectively. Mechanical fuel oil accounted for the highest percentage (44.59%) among the input factors in alfalfa planting. Planting of alfalfa experienced a gradually growing stage of scale reward. The marginal yield of alfalfa seed and mechanical fuel oil inputs was significantly larger than zero. Alfalfa production could be improved by increasing these two inputs. [Conclusion] In this area′s alfalfa production practices, the seed, pesticide and mechanical fuel oil inputs should be boosted, while the other input factors should be kept under control.

Key words: alfalfa industry, Cobb-Douglas production function, economic benefit analysis, Hohhot City

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