资源科学 ›› 2017, Vol. 39 ›› Issue (5): 924-933.doi: 10.18402/resci.2017.05.12

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农户粮食生产规模效率及其影响因素分析——基于黑、豫、川三省玉米种植户的调查数据

贾琳1,2(), 夏英1()   

  1. 1.中国农业科学院农业经济与发展研究所,北京 100081
    2. 河北农业大学商学院,保定 071001
  • 收稿日期:2016-09-14 修回日期:2017-02-21 出版日期:2017-05-20 发布日期:2017-05-20
  • 作者简介:

    作者简介:贾琳,女,河北正定人,博士生,讲师,研究方向为产业经济。E-mail:yang_lin99@163.com

  • 基金资助:
    中国农业科学院科技创新工程(ASTIP-IAED-2016-03)

Scale efficiency of grain production and influencing factors based on survey data from Heilongjiang,Henan and Sichuan

Lin JIA1,2(), Ying XIA1()   

  1. 1. Institute of Agricultural Economics and Development,Chinese Academy of Agricultural Sciences,Beijing 100081,China
    2. Business School,Agricultural University of Hebei,Baoding 071001,China
  • Received:2016-09-14 Revised:2017-02-21 Online:2017-05-20 Published:2017-05-20

摘要:

农业经营规模和效率及效率的影响因素分析一直是学术界的研究热点。本文基于黑龙江、河南和四川三省的517份玉米种植户的调查数据,采用DEA方法对玉米种植规模效率进行了测算,并用Tobit方法对影响规模效率的因素进行了分析。结果表明,总体上玉米种植规模效率较高,达到0.90,但仍有进一步提升的空间;玉米种植规模效率省际差异明显,黑龙江省最高,四川省最低;针对不同规模分组的考察,发现规模效率随着规模的增加呈现先上升后下降的态势,说明推进规模经营应该因地制宜,并且不能盲目追求规模的扩大。Tobit分析表明,户主的教育程度越高、户主出县打过工对规模效率产生显著正向影响,家庭非农收入占纯收入的比重与规模效率显著负相关。因此,要加大对农民的培训,培育新型职业农民,为规模经营农户提供更好的科技支撑。

关键词: 粮食生产, 规模效率, 影响因素, 玉米种植户

Abstract:

Farm size and scale efficiency are hot issues. In recent years,farm size has expanded rapidly in China. Due to the lack of scale management experience,farmers have not realized yield or income growth and farmers' enthusiasm for production has declined. It is therefore necessary to study the scale efficiency of grain production. Here,we discuss farmer's scale efficiency using maize farming households as an example. The data was collected from three maize producing provinces,Heilongjiang,Henan and Sichuan,located in Northeast,North and Southwest China. Based on 517 surveys we employed the DEA approach to estimate maize scale efficiency and utilized a Tobit regression to analyze influencing factors. The results indicated that overall scale efficiency is 0.90. It is high but there is room for efficiency improvements. The scale efficiency of maize production is significantly different in the provinces. The highest scale efficiency is in Heilongjiang and the lowest is in Sichuan. By dividing the data according to farmer scale we found that scale efficiency drops with increasing scale after rising first. Based on these findings we should promote scale management suiting local conditions instead of expanding blindly. Tobit regression shows that the higher the education level of household head,household head as a migrant worker in cities have a significant positive impact on the scale efficiency. The proportion of non-farming income to net income of household is negatively correlated with scale efficiency. Therefore we should strengthen the training of farmers,cultivate new professional farmers and provide better technical support for scale farmers.

Key words: grain production, scale efficiency, influencing factor, maize farming households