首页|数字金融使用对农户农地流转行为的影响

数字金融使用对农户农地流转行为的影响

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为推动农地流转的规范进行,本研究基于中国土地经济调查(CLES)2021年数据,利用内生转换Probit模型的反事实分析法,实证分析了数字金融使用对农户农地流转行为的影响效应和作用机制.结果表明:1)数字金融使用主要通过提高农户办理农业生产性贷款的概率和提高农户非农就业的概率这两条路径影响农地流转行为.2)对于不同年龄、农地规模、收入水平和农户类型的农户家庭来说影响效果不同.3)数字金融使用显著增加了农地流转规模,促进了农地转入和农地转出行为.同时,数字普惠金融正向显著影响了农户农地流转行为.因此,为了推动农地流转的有序进行,可以鼓励农户使用数字金融,增强农户的数字金融使用能力,对有非农就业和办理生产性贷款意愿的农户进行针对性指导.
Influence of digital finance use on the farmland transfer behavior of farmers
To promote the standardization of farmland transfer,based on the China Land Economic Survey(CLES)2021 data,this study employs a counterfactual analysis method using the endogenous switching Probit model to empirically analyze the impact and mechanisms of digital financial use on farmers'farmland transfer behavior.The results indicate that:1)The digital finance use primarily affects the land transfer behavior through two paths,which are increasing the probability of farmers obtaining agricultural production loans and increasing the probability of non-agricultural employment among farmers.2)The impact varies among households with different ages,land scales,income levels and household types.3)The digital finance use significantly increases the scale of land transfer,and promotes both land inflow and outflow behaviors.Simultaneously,the digital inclusive finance also positively significantly affects farmers'land transfer behavior.Therefore,to facilitate the orderly progress of land transfer,strategies such as encouraging farmers'willingness to use digital finance and enhancing their ability to do so,along with providing targeted guidance for promoting farmers willing to engage in non-agricultural employment and obtain production loans are put forward in this study.

digital finance usefarmland transferendogenous switching Probit modelcounterfactual analysisaverage treatment effect

王璐瑶、李谷成

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华中农业大学经济管理学院/数字农业研究院,武汉 430070

数字金融使用 农地流转 内生转换Probit模型 反事实分析 平均处理效应

2025

中国农业大学学报
中国农业大学

中国农业大学学报

北大核心
影响因子:0.971
ISSN:1009-508X
年,卷(期):2025.30(1)