浙江农业学报 ›› 2022, Vol. 34 ›› Issue (3): 652-660.DOI: 10.3969/j.issn.1004-1524.2022.03.25
• 农业经济与发展 • 上一篇
黄河啸1(), 张西华2, 卓妮1, 李宝值1, 章伟江1, 朱奇彪1,*(
)
收稿日期:
2021-06-30
出版日期:
2022-03-25
发布日期:
2022-03-30
通讯作者:
朱奇彪
作者简介:
朱奇彪,E-mail: 1090506033@qq.com基金资助:
HUANG Hexiao1(), ZHANG Xihua2, ZHUO Ni1, LI Baozhi1, ZHANG Weijiang1, ZHU Qibiao1,*(
)
Received:
2021-06-30
Online:
2022-03-25
Published:
2022-03-30
Contact:
ZHU Qibiao
摘要:
人才是支撑乡村振兴战略的关键因素,高素质农民的培育在新时代被提升至新的高度。基于计划行为理论分析框架,利用浙江省的高素质农民调查数据,采用结构方程模型对760个有效样本进行实证分析,探究社会资本需求视角下高素质农民培训行为的影响因素。研究发现:高素质农民基于社会资本需求的行为态度对其行为意向具有显著(P<0.01)正向影响,行为意向对其实际行为具有显著(P<0.01)正向作用。由此提出高素质农民培训要聚焦实际需求、搭建交流平台,强化跟踪服务、打造培育品牌,找准培育对象、优化培训项目,突破时空限制、活化培训形式等启示。
中图分类号:
黄河啸, 张西华, 卓妮, 李宝值, 章伟江, 朱奇彪. 社会资本需求视角下的高素质农民培训行为研究——基于计划行为理论分析框架[J]. 浙江农业学报, 2022, 34(3): 652-660.
HUANG Hexiao, ZHANG Xihua, ZHUO Ni, LI Baozhi, ZHANG Weijiang, ZHU Qibiao. Research on training behavior of high quality farmers from perspective of social capital demand: based on theory of planned behavior[J]. Acta Agriculturae Zhejiangensis, 2022, 34(3): 652-660.
指标 Index | 类别 Category | 样本量 Sample size | 比例 Proportion/% |
---|---|---|---|
性别Gender | 男Male | 555 | 73.03 |
女Female | 205 | 26.97 | |
年龄Age | ≤30 | 40 | 5.26 |
31~40 | 231 | 30.39 | |
41~50 | 285 | 37.50 | |
≥51 | 204 | 26.84 | |
受教育程度Education level | 初中以下Below junior high school | 9 | 1.18 |
初中Junior high school | 151 | 19.87 | |
高中High school | 166 | 21.84 | |
中专Secondary specialized school | 53 | 6.97 | |
大专Junior college | 204 | 26.84 | |
本科及以上Bachelor degree and above | 177 | 23.29 | |
地区Region | 丽水Lishui | 60 | 7.89 |
台州Taizhou | 58 | 7.63 | |
嘉兴Jiaxing | 247 | 32.50 | |
宁波Ningbo | 7 | 0.92 | |
杭州Hangzhou | 113 | 14.87 | |
温州Wenzhou | 27 | 3.55 | |
湖州Huzhou | 31 | 4.08 | |
绍兴Shaoxing | 80 | 10.53 | |
舟山Zhoushan | 4 | 0.53 | |
衢州Quzhou | 32 | 4.21 | |
金华Jinhua | 101 | 13.29 |
表1 样本描述
Table 1 Summary of samples
指标 Index | 类别 Category | 样本量 Sample size | 比例 Proportion/% |
---|---|---|---|
性别Gender | 男Male | 555 | 73.03 |
女Female | 205 | 26.97 | |
年龄Age | ≤30 | 40 | 5.26 |
31~40 | 231 | 30.39 | |
41~50 | 285 | 37.50 | |
≥51 | 204 | 26.84 | |
受教育程度Education level | 初中以下Below junior high school | 9 | 1.18 |
初中Junior high school | 151 | 19.87 | |
高中High school | 166 | 21.84 | |
中专Secondary specialized school | 53 | 6.97 | |
大专Junior college | 204 | 26.84 | |
本科及以上Bachelor degree and above | 177 | 23.29 | |
地区Region | 丽水Lishui | 60 | 7.89 |
台州Taizhou | 58 | 7.63 | |
嘉兴Jiaxing | 247 | 32.50 | |
宁波Ningbo | 7 | 0.92 | |
杭州Hangzhou | 113 | 14.87 | |
温州Wenzhou | 27 | 3.55 | |
湖州Huzhou | 31 | 4.08 | |
绍兴Shaoxing | 80 | 10.53 | |
舟山Zhoushan | 4 | 0.53 | |
衢州Quzhou | 32 | 4.21 | |
金华Jinhua | 101 | 13.29 |
潜变量Latent variable | 观察变量Observed variable |
---|---|
Q1:行为态度 | Q11:参与培训可以使我了解农业科技信息 |
Q1: Attitude toward | Q11: Training can help me understand agricultural science and technology information |
behavior | Q12:参与培训可以使我结识一批同行朋友 |
Q12: Training can help me make friends in the same trade | |
Q13:参与培训可以使我熟悉一批著名的农业专家 | |
Q13: Training can help me get familiar with famous agricultural experts | |
Q14:选择有影响力的培训平台可以促进我积累社会资本 | |
Q14: Choosing an influential training platform can help me accumulate social capital | |
Q2:主观规范 Q2: Subjective norms | Q21:同行通过参加培训结识业界精英,促使我想参加培训 Q21: Peers get acquainted with the elites of the industry through training, which makes me want to join in the training |
Q22:同行通过参加培训结识农业专家,促使我想参加培训 Q22: Peers get acquainted with experts through training, which makes me want to join in the training | |
Q23:同行参加培训后提高了经营管理理念和水平,促使我想参加培训 Q23: The management concept and level of peers get improved through training, which makes me want to join in the training | |
Q24:同行对培训很满意,促使我想参加培训 Q24: Peers are satisfied with the training, which makes me want to join in the training | |
Q3:知觉行为控制 Q3: Perceived behavioral | Q31:我能通过培训实现与专家同行的交流 Q31: I can communicate with experts through training |
control | Q32:我能通过培训提高收入水平 Q32: I can increase my income through training |
Q33:我能通过培训提高经营管理理念和水平 Q33: I can improve my management concept and level through training | |
潜变量Latent variable | 观察变量Observed variable |
Q4:行为意向 Q4:Behavior intention | Q41:我愿意参加培训 Q41: I’m willing to join in the training |
Q42:我更愿意参加省级及以上平台的培训 Q42: I prefer to join in the training with provincial level or higher level platforms | |
Q43:我愿意参加长期培训 Q43: I’m willing to join in the long-term training | |
Q5:实际行为 Q5:Actual behavior | Q51:我参加培训的频率 Q51: The frequency of my participation in training |
Q52:我参加省级及以上培训的次数 Q52: The frequency of my participation in the training with provincial level or higher level platforms | |
Q53:我接受过长期培训 Q53: I have participated in the long-term training |
表2 变量含义
Table 2 Variables and according meanings
潜变量Latent variable | 观察变量Observed variable |
---|---|
Q1:行为态度 | Q11:参与培训可以使我了解农业科技信息 |
Q1: Attitude toward | Q11: Training can help me understand agricultural science and technology information |
behavior | Q12:参与培训可以使我结识一批同行朋友 |
Q12: Training can help me make friends in the same trade | |
Q13:参与培训可以使我熟悉一批著名的农业专家 | |
Q13: Training can help me get familiar with famous agricultural experts | |
Q14:选择有影响力的培训平台可以促进我积累社会资本 | |
Q14: Choosing an influential training platform can help me accumulate social capital | |
Q2:主观规范 Q2: Subjective norms | Q21:同行通过参加培训结识业界精英,促使我想参加培训 Q21: Peers get acquainted with the elites of the industry through training, which makes me want to join in the training |
Q22:同行通过参加培训结识农业专家,促使我想参加培训 Q22: Peers get acquainted with experts through training, which makes me want to join in the training | |
Q23:同行参加培训后提高了经营管理理念和水平,促使我想参加培训 Q23: The management concept and level of peers get improved through training, which makes me want to join in the training | |
Q24:同行对培训很满意,促使我想参加培训 Q24: Peers are satisfied with the training, which makes me want to join in the training | |
Q3:知觉行为控制 Q3: Perceived behavioral | Q31:我能通过培训实现与专家同行的交流 Q31: I can communicate with experts through training |
control | Q32:我能通过培训提高收入水平 Q32: I can increase my income through training |
Q33:我能通过培训提高经营管理理念和水平 Q33: I can improve my management concept and level through training | |
潜变量Latent variable | 观察变量Observed variable |
Q4:行为意向 Q4:Behavior intention | Q41:我愿意参加培训 Q41: I’m willing to join in the training |
Q42:我更愿意参加省级及以上平台的培训 Q42: I prefer to join in the training with provincial level or higher level platforms | |
Q43:我愿意参加长期培训 Q43: I’m willing to join in the long-term training | |
Q5:实际行为 Q5:Actual behavior | Q51:我参加培训的频率 Q51: The frequency of my participation in training |
Q52:我参加省级及以上培训的次数 Q52: The frequency of my participation in the training with provincial level or higher level platforms | |
Q53:我接受过长期培训 Q53: I have participated in the long-term training |
潜变量 Latent variable | Cronbach α | CR | AVE | KMO | 观察变量 Observed variable | 因子载荷 Factor loading |
---|---|---|---|---|---|---|
Q1 | 0.628 | 0.717 | 0.521 | 0.644 | Q11 | 0.691 |
Q12 | 0.594 | |||||
Q13 | 0.755 | |||||
Q14 | 0.460 | |||||
Q2 | 0.816 | 0.906 | 0.717 | 0.894 | Q21 | 0.910 |
Q22 | 0.913 | |||||
Q23 | 0.890 | |||||
Q24 | 0.733 | |||||
Q3 | 0.678 | 0.701 | 0.573 | 0.652 | Q31 | 0.588 |
Q32 | 0.796 | |||||
Q33 | 0.718 | |||||
Q4 | 0.663 | 0.780 | 0.623 | 0.617 | Q41 | 0.681 |
Q42 | 0.792 | |||||
Q43 | 0.691 | |||||
Q5 | 0.766 | 0.784 | 0.569 | 0.693 | Q51 | 0.816 |
Q52 | 0.816 | |||||
Q53 | 0.806 |
表3 信度与效度检验结果
Table 3 Test results of reliability and validity
潜变量 Latent variable | Cronbach α | CR | AVE | KMO | 观察变量 Observed variable | 因子载荷 Factor loading |
---|---|---|---|---|---|---|
Q1 | 0.628 | 0.717 | 0.521 | 0.644 | Q11 | 0.691 |
Q12 | 0.594 | |||||
Q13 | 0.755 | |||||
Q14 | 0.460 | |||||
Q2 | 0.816 | 0.906 | 0.717 | 0.894 | Q21 | 0.910 |
Q22 | 0.913 | |||||
Q23 | 0.890 | |||||
Q24 | 0.733 | |||||
Q3 | 0.678 | 0.701 | 0.573 | 0.652 | Q31 | 0.588 |
Q32 | 0.796 | |||||
Q33 | 0.718 | |||||
Q4 | 0.663 | 0.780 | 0.623 | 0.617 | Q41 | 0.681 |
Q42 | 0.792 | |||||
Q43 | 0.691 | |||||
Q5 | 0.766 | 0.784 | 0.569 | 0.693 | Q51 | 0.816 |
Q52 | 0.816 | |||||
Q53 | 0.806 |
路径 Route | 非标准化回归系数 Nonstandard regression coefficient | 标准化回归系数 Standardized regression coefficient |
---|---|---|
Q1→Q4 | 0.335(0.052) | 0.504*** |
Q2→Q4 | 0.018(0.031) | 0.031 |
Q3→Q4 | -0.021(0.033) | -0.032 |
Q4→Q5 | 0.703(0.101) | 0.556*** |
Q1→Q11 | 0.544(0.067) | 0.387*** |
Q1→Q12 | 1.020(0.090) | 0.731*** |
Q1→Q13 | 0.470(0.065) | 0.339*** |
Q1→Q14 | 1(—) | 0.710 |
Q2→Q21 | 1.851(0.103) | 0.919*** |
Q2→Q22 | 1.905(0.106) | 0.913*** |
Q2→Q23 | 1.765(0.103) | 0.841*** |
Q2→Q24 | 1(—) | 0.600 |
Q3→Q31 | 0.923(0.147) | 0.294*** |
Q3→Q32 | 1.906(0.474) | 0.945*** |
Q3→Q33 | 1(—) | 0.402 |
Q4→Q41 | 0.788(0.107) | 0.516*** |
Q4→Q42 | 1.064(0.149) | 0.501*** |
Q4→Q43 | 1(—) | 0.476 |
Q5→Q51 | 1.997(0.120) | 0.814*** |
Q5→Q52 | 2.601(0.157) | 0.798*** |
Q5→Q53 | 1(—) | 0.679 |
表4 测量关系估计结果
Table 4 Estimation results of measurement model
路径 Route | 非标准化回归系数 Nonstandard regression coefficient | 标准化回归系数 Standardized regression coefficient |
---|---|---|
Q1→Q4 | 0.335(0.052) | 0.504*** |
Q2→Q4 | 0.018(0.031) | 0.031 |
Q3→Q4 | -0.021(0.033) | -0.032 |
Q4→Q5 | 0.703(0.101) | 0.556*** |
Q1→Q11 | 0.544(0.067) | 0.387*** |
Q1→Q12 | 1.020(0.090) | 0.731*** |
Q1→Q13 | 0.470(0.065) | 0.339*** |
Q1→Q14 | 1(—) | 0.710 |
Q2→Q21 | 1.851(0.103) | 0.919*** |
Q2→Q22 | 1.905(0.106) | 0.913*** |
Q2→Q23 | 1.765(0.103) | 0.841*** |
Q2→Q24 | 1(—) | 0.600 |
Q3→Q31 | 0.923(0.147) | 0.294*** |
Q3→Q32 | 1.906(0.474) | 0.945*** |
Q3→Q33 | 1(—) | 0.402 |
Q4→Q41 | 0.788(0.107) | 0.516*** |
Q4→Q42 | 1.064(0.149) | 0.501*** |
Q4→Q43 | 1(—) | 0.476 |
Q5→Q51 | 1.997(0.120) | 0.814*** |
Q5→Q52 | 2.601(0.157) | 0.798*** |
Q5→Q53 | 1(—) | 0.679 |
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