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中国农机化学报

中国农机化学报 ›› 2024, Vol. 45 ›› Issue (12): 297-304.DOI: 10.13733/j.jcam.issn.20955553.2024.12.043

• 农业机械化综合研究 • 上一篇    下一篇

农机合作社绩效评价方法及应用——基于6D-BSC和改进PCA、VIKOR方法

乔金友1, 2,孟双凤3,洪魁1, 2,郭翔宇4,陈海涛1, 2   

  1. (1. 东北农业大学工程学院,哈尔滨市,150030; 2. 黑龙江省主要农作物生产机械化材料化技术创新中心,哈尔滨市,150030; 3. 东北师范大学图书馆,长春市,130024; 4. 东北农业大学经济管理学院,哈尔滨市,150030)
  • 出版日期:2024-12-15 发布日期:2024-12-03
  • 基金资助:
    国家大豆产业技术体系专项资金项目(CARS—04—PS27);国家重点研发计划项目(2021YFD2000405—2)

Performance evaluation method and application of agricultural machinery cooperatives based on methods of 6D-BSC and improved PCA and VIKOR

Qiao Jinyou1, 2, Meng Shuangfeng3, Hong Kui1, 2, Guo Xiangyu4, Chen Haitao1, 2   

  1. (1. College of Engineering, Northeast Agricultural University, Harbin, 150030, China; 2. Heilongjiang Province 
    Technology Innovation Center of Mechanization and Materialization of Major Crops Production, Harbin, 150030, China; 
    3. Northeast Normal University Library, Changchun, 130024, China; 4. College of Economics and Management, 
    Northeast Agricultural University, Harbin, 150030, China)
  • Online:2024-12-15 Published:2024-12-03

摘要:

农机合作社作为新型农业经营主体,科学客观评价其发展的绩效水平对农机合作社的健康发展、促进乡村振兴具有重要意义。结合新阶段农机合作社发展现状、特点及评价需求,创建基于六维平衡计分卡(6D-BSC)的绩效评价指标体系设计新方法,并依其设计涵盖经营规模、学习与成长、技术效果、经济效果、绿色发展和受益群体六个方面的评价指标体系;创建基于主成分分析方法(PCA)的指标权重计算方法并依其确定各指标权重值;改进基于模糊多准则(VIKOR)方法的绩效评价准则。三种方法有机结合使评价指标体系建立更加合理,评价结果更加准确。以黑龙江省14个地市(县)的农机合作社为研究对象进行实证研究,评价结果显示,农机合作社总体绩效水平可以划分为六个层次,其中齐齐哈尔市农机合作社总体绩效水平最高处于第一层次,绥化市农机合作社运营效果突出处于第二层次,哈尔滨市、黑河市农机合作社总体绩效水平较高处于第三层次。

关键词: 农机合作社, 绩效评价, 六维平衡计分卡, 主成分分析法, 模糊多准则方法

Abstract:

As a new type of agricultural production and management organization, scientific and objective evaluation of the performance level of agricultural machinery cooperatives is of great significance to the healthy development of agricultural machinery cooperatives and the promotion of rural revitalization. Combined with the development status, characteristics and evaluation needs of agricultural machinery cooperatives in the new stage, a new method for designing the performance evaluation index system based on the six-dimensional balanced scorecard (6D-BSC) was created, covering business scale, learning and growth technical effects, economic effects, beneficiary groups and green development. A weight calculation method was created based on the method of principal component analysis (PCA) and the weight value of each index was determined according to it, and the performance evaluation criterion based on fuzzy multi-criteria (VIKOR) method was improved. The evaluation index system will be more reasonable and the evaluation results become more accurate based on the new evaluating method combined with the abovementioned three improved methods. Total agricultural cooperatives in each of 14 cities in Heilongjiang Province were taken as research objects, and evaluation results show that the overall performance level of agricultural machinery cooperatives of each city can be divided into six layers. Among them, the overall performance level of agricultural machinery cooperatives in Qiqihar is the highest in the first level, the operation effect of agricultural machinery cooperatives in Suihua is prominent in the second level, and the overall performance level of agricultural machinery cooperatives in Harbin and Heihe is relatively high in the third level.

Key words: agricultural machinery cooperatives, performance evaluation, six-dimensional balanced scorecard, improved principal component analysis method, fuzzy multi-criteria method

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