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Journal of library and information science in agriculture ›› 2025, Vol. 37 ›› Issue (4): 39-50.doi: 10.13998/j.cnki.issn1002-1248.25-0201

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Impact of Digital Literacy on Rural Governance Effectiveness: Based on the Survey of 306 Rural Residents in Xia County, Shanxi Province

CUI Shaojie, LIU Yanping()   

  1. College of Agricultural Economics and Management, Shanxi Agricultural University, Jinzhong 030801
  • Received:2025-02-15 Online:2025-04-05 Published:2025-06-25
  • Contact: LIU Yanping

Abstract:

[Purpose/Significance] The advent of the digital era has presented China with significant opportunities to modernize rural governance. Digital literacy is crucial for enabling farmers to participate in rural governance and promote the development of digital villages. Rural residents are direct participants in digital village development, and their digital competence fundamentally determines the modernization level of rural governance. Their proficiency in digital skills affects not only the effectiveness of intelligent rural management, but also serves as a key indicator for measuring the progress of digital rural development. [Method/Process] Based on a literature review and sociopolitical reports, this study combines research objectives and thematic focus to create a questionnaire that investigates farmers' digital competence and rural governance performance. A stratified sampling strategy was implemented to select 306 rural households from diversified villages across township and sub-district jurisdictions, in Xia County, Shanxi Province, for the case study. The dataset encompasses respondents' demographic attributes, familial characteristics, digital proficiency metrics, and multidimensional indicators of rural governance efficiency and capacity building. Through integrated application of exploratory factor analysis (EFA) and multivariate linear regression modeling, this investigation systematically examines the determinants through which digital literacy influences governance outcomes. Together, these approaches establish a theoretical framework and evidence-based pathways for enhancing rural digital transformation initiatives. [Results/Conclusions] The empirical analysis results indicate that farmers' digital literacy significantly impacts rural governance efficacy. Specifically, improvements in the four dimensions of digital literacy - digital awareness, digital skills, digital application, and digital security - positively influence the efficacy of rural governance.In other words, the higher the digital literacy level of farmers, the greater the enhancement in rural governance efficacy. Among these, digital security literacy has the most significant effect on improving governance efficacy. Next is digital application literacy, followed by digital awareness literacy. Digital skill literacy exhibits a relatively weaker impact. Given the significant positive influence of digital literacy on rural governance efficacy, this paper proposes recommendations from three perspectives: strengthening farmers' proactive awareness of digital literacy, enhancing their knowledge in digital literacy, and improving the digital infrastructure construction in rural areas. These suggestions provide practical references for the digital development of rural governance in Xia County, Shanxi Province. Due to various constraints, however, the study only examined Xia County in Shanxi Province as the research area, resulting in notable geographical limitations in the sample. This is because rural regions in different areas exhibit significant disparities in economic development levels, cultural traditions, and policy support, all of which may affect farmers' digital literacy and the efficacy of rural governance. Consequently, the conclusions of this study may not accurately reflect the actual conditions in rural areas across diverse regions. To improve the generalizability of the findings, future research should expand the sample selection to include more representative areas.

Key words: digital literacy, rural governance, farmer, influencing factors, rural revitalization

CLC Number: 

  • F49

Table 1

Basic characteristics of farmers"

变量 样本数/个 占比/%
性别 187 61.1
119 38.9
年龄 18岁以下 4 1.3
18~30岁 6 2.0
31~40岁 68 22.2
41~50岁 115 37.6
50岁以上 113 36.9
学历 小学以下 158 51.6
小学 66 21.6
初中 61 20.0
高中 4 1.3
专科 4 1.3
本科 8 2.6
硕博研究生 5 1.6
职业 农民 280 91.5
工人 4 1.3
个体经营者 7 2.3
公职人员 4 1.3
企业管理人员 4 1.3
学生 4 1.3
其他 3 1.0

Table 2

Exploratory factor analysis of rural governance efficiency"

维度 数字技能素养

因子

载荷

α

系数

KMO

治理能力 自治能力 您经常参加村民会议、村民活动、选举投票和村委会测评等 0.708 0.756 0.767
您经常主动向村委会、村民代表反映诉求或在各类会议和自治行为中表达自己观点 0.755
您经常参与村民自治规则、程序的制定,与村“两委”成员和村民协调、沟通 0.688
您能够通过微信等网络平台维护个人正当权益或集体利益 0.635
德治能力 村庄党员干部发挥模范带头作用强 0.722 0.798 0.789
村庄能人或先进分子在弘扬社会主义核心价值观方面的示范带动能力强 0.734
村庄在利用村规民约改善邻里关系、惩恶扬善等方面的能力强 0.743
村庄在弘扬“重孝”“尚贤”等中华传统美德、发挥家庭家教家风在乡村治理中的能力强 0.733
法治能力 村庄在干部选举、党员发展、民主决策等方面的普法用法能力强 0.622 0.791 0.744
村庄在新型法治教育活动开展情况较好 0.751
村庄在治安纠纷调解、公共安全保障、公共利益维护等方面的学法 0.755
村庄在“一村一辅警”机制,智慧农村警务建设状况较好 0.759

Table 3

Exploratory factor analysis of farmers' digital literacy"

维度 具体测量题项

因子

载荷

α

系数

KMO

农民数字素养 数字意识素养 您知道数字乡村发展战略以及相关政策 0.703 0.784 0.739
您关注村里数字乡村建设进程 0.705
您认为电脑、手机等数字设备方便了日常生活 0.826
您认同智能农业设备(如温控大棚、智能灌溉设备)提升了农业生产经营活动效率 0.766
数字技能素养 您知道智能手机、4G/SG、智慧农业 0.729 0.898 0.921
您能够熟练下载和使用智能手机应用软件 0.728
您会利用数字软件检索和订阅信息,如天气、肥料价格、农产品行情价格等 0.710
您会教他人如何使用数字设备或软件 0.714
面对不会使用的数字设备或软件,您会积极寻求外界帮助 0.808
您能够识别微信公众号等数字媒介上内容的真实性、可靠性和安全性 0.751
您会使用软件来编辑照片、视频或音频文件并通过网络发布 0.819
如果村里组织电商直播培训,您愿意积极参加 0.742
数字应用素养 您会运用数字设备和网络参与社会生活,如休闲娱乐、在线教育、网络医疗、网络购物等 0.750 0.880 0.885
您会使用移动智能终端设备、智慧新农具等数字设备提升生产效率 0.868
您知道如何通过微信群、直播平台宣传和销售农副产品 0.751
您经常使用微信、微博、抖音等社交平台,与他人进行即时通信和互动交流 0.694
村里创建了微信群,并使用此群发布通知或收集居民意见 0.752
您会通过微信群为乡村治理建言献策 0.761
数字安全素养 您注意保护自己的数字设备(如手机、电脑)不被病毒或恶意软件攻击 0.675 0.799 0.831
您注意保护村里公共的数字设备不被损坏、窃取 0.742
您在设置密码时注重密码复杂性以防被盗 0.709
您不会随意向他人透露自己个人数据和隐私 0.734
您有风险意识,能够识别网络诈骗的套路 0.723

Table 4

Descriptive statistical characteristics of variables"

变量 最小值 最大值 平均值 标准差
数字意识素养 1.000 5.000 3.016 1.075
数字技能素养 1.000 5.000 3.175 1.046
数字应用素养 1.167 5.000 3.273 1.045
数字安全素养 1.000 5.000 3.158 1.039
农民数字素养 1.565 4.522 3.169 0.731
自治能力 1.000 5.000 3.251 1.061
德治能力 1.000 5.000 3.355 1.092
法治能力 1.000 5.000 3.369 1.078
乡村治理效能 1.500 4.750 3.325 0.903

Table 5

Correlation analysis between digital literacy and rural governance efficiency"

变量 数字意识素养 数字技能素养 数字应用素养 数字安全素养 自治能力 德治能力 法治能力 农民数字素养 乡村治理效能
数字意识素养 --
数字技能素养 0.265** --
数字应用素养 0.343** 0.259** --
数字安全素养 0.307** 0.274** 0.391** --
乡村自治能力 0.240** 0.249** 0.344** 0.315** --
乡村德治能力 0.350** 0.257** 0.357** 0.382** 0.552** --
乡村法治能力 0.249** 0.233** 0.369** 0.403** 0.564** 0.544** --
农民数字素养 0.611** 0.747** 0.710** 0.670** 0.411** 0.469** 0.442** --
乡村治理效能 0.334** 0.294** 0.426** 0.438** 0.839** 0.836** 0.839** 0.526** --

Table 6

Regression test results of farmers' digital literacy on rural governance effectiveness"

变量及统计参数 未标准化系数 标准化系数 t 显著性 共线性统计
B 标准错误 Beta 容差 VIF
(常量) 0.932*** 0.340 2.744 0.006
性别(以男性为参考)
0.049 0.088 0.027 0.558 0.577 0.951 1.052
年龄 0.158*** 0.055 0.155 2.874 0.004 0.748 1.337
学历 -0.040 0.049 -0.059 -0.821 0.412 0.425 2.352
职业(以农民为参考)
工人 -0.491 0.398 -0.062 -1.232 0.219 0.861 1.161
个体经营者 -0.509 0.338 -0.084 -1.505 0.133 0.689 1.450
公职人员 -0.454 0.422 -0.057 -1.075 0.283 0.766 1.306
企业管理人员 -0.233 0.448 -0.029 -0.520 0.604 0.680 1.470
学生 0.166 0.447 0.021 0.371 0.711 0.683 1.463
其他 -0.685 0.438 -0.075 -1.566 0.118 0.949 1.054
数字意识素养 0.102** 0.044 0.121 2.324 0.021 0.797 1.255
数字技能素养 0.081* 0.043 0.094 1.865 0.063 0.858 1.166
数字应用素养 0.199*** 0.047 0.231 4.277 0.000 0.747 1.339
数字安全素养 0.198*** 0.046 0.228 4.288 0.000 0.768 1.301
R² 0.366
调整后R² 0.338
F F=12.968,p=0.000

Table 7

Robustness test"

变量 乡村治理效能
增加聚类标准误 增加控制变量平方项
数字意识素养 0.099 5** 0.098 7**
(0.044 2) (0.043 4)
数字技能素养 0.081 3* 0.079 8*
(0.043 8) (0.043 3)
数字应用素养 0.196 8*** 0.201 5***
(0.049 0) (0.046 0)
数字安全素养 0.201 8*** 0.197 5***
(0.047 4) (0.046 1)
性别 0.031 8 0.041 2
(0.089 6) (0.086 6)
年龄 0.137 2*** -0.394 0
(0.046 5) (0.349 6)
学历 -0.065 6* -0.069 8*
(0.035 5) (0.040 9)
职业 -0.065 2 -0.098 1*
(0.041 2) (0.059 1)
age2 0.069 0
(0.044 9)
_cons 1.092 4*** 2.100 3***
(0.353 2) (0.746 0)
N/人 306 306
R² 0.355 0.360
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