›› 2014, Vol. 16 ›› Issue (4): 95-101.DOI: 10.13304/j.nykjdb.2014.127

• 数字农业 农机装备 • 上一篇    下一篇

基于因子分析的我国农业机械发展分析研究

黄永宝1,纪延光2*   

  1. (1.中国矿业大学管理学院, 江苏 徐州 221116|2.淮海工学院商学院, 江苏 连云港 222005)
  • 收稿日期:2014-03-10 修回日期:2014-04-09 出版日期:2014-08-15 发布日期:2014-07-09
  • 作者简介:黄永宝|硕士研究生|研究方向为技术创新。E-mail:huangyongbaowww@126.com。
  • 基金资助:

    江苏省社会科学基金资助项目(07EYB022);江苏省教育厅社会科学基金资助项目(07SJl3630001)资助。

Studies and Analysis on Agricultural Machinery Development in China Based on Factor Analysis

HUANG Yong-bao1, JI Yan-guang2*   

  1. (1.School of Management, University of Mining and Technology, Xuzhou 221116|
    2.School of Business, Huaihai Institute of Technology, JiangsuLianyungang 222005, China)
  • Received:2014-03-10 Revised:2014-04-09 Online:2014-08-15 Published:2014-07-09
  • Contact: 纪延光,教授,博士,研究方向技术创新和质量管理。

摘要:

在国家大力提出土地流转,土地适度规模经营的背景下,分析了与我国农业机械化发展相关多个经济指标23年历史数据,应用因子分析法提炼出影响农业机械发展的因子,再做回归分析得出我国农业机械发展一些规律。研究结果显示在未来的几年我国农业机械的发展将会更快,智能化、大功率、环保高效的农机将会取代老化的耗能的机械的结论。并给出一些政策建议,为我国农业机械的发展提供一些有意义的参考。

关键词: 农业机械, 因子分析, 回归分析, 土地适度规模经营

Abstract:

Under the background of putting forward land transfer and moderate scale land management by the government, based on the previous consecutive 23 years data, this paper carries out an empirical analysis about several hypothetical indicators that may be correlated to the development of agricultural mechanism, and extracts the factors affecting the development of agricultural machinery, using factor analysis method. Then regression analysis is conducted to find out some rules of  agricultural machinery development in China. The results showed that in the next few years, agricultural machinery in China will develope even faster. Agricultural machinery with intelligent, high power, high efficient environment protection will replace the aging and energy consuming  machinery. Before ending, the paper gives some policy suggestions and provides certain meaningfull references for the development of agricultural machinery in China.

Key words: agricultural machinery, factor analysis, regression analysis, Land moderate scale management

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