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数字能力赋能农户增收的理论与实证研究兼论收入多样化与收入不平等效应

A theoretical and empirical study of digital capability and farmers’ income growth: with a discussion of income diversification and income inequality

  • 摘要: 农户数字能力是将数字乡村建设成果转化为增收机会的重要条件。本文基于江苏省苏南地区1 058户农户的调查数据,考察数字能力与农户收入的关系及其作用渠道,并进一步分析收入多样化与收入分配特征。研究发现:1)数字能力与家庭人均收入显著正相关,内部工具变量估计和多项稳健性检验的结果方向一致;数字技术可及和数字技术运用两个维度的系数均显著为正。2)数字能力与非农就业参与、以网购频次衡量的数字平台参与均呈正向关联,为两条增收渠道提供了支持。3)分组估计中,数字能力的系数在不同性别和文化程度组均显著为正,在年龄、家庭规模和合作社参与分组中的显著性有所不同。4)数字能力较强的农户,其收入来源比重更为分散,个体相对剥夺程度更低;较低收入分位点的回归系数在数值上较大。据此,建议改善农村数字技术接入条件,加强农户数字技能培训,拓展数字技术在就业和经营中的应用,并针对不同群体提供差异化支持。

     

    Abstract: Farmers’ digital capability is an important condition for transforming the achievements of digital rural development into income-generating opportunities. Using survey data from 1,058 rural households in southern Jiangsu Province, this study examines the relationship between digital capability and farm household income and its potential channels, and further analyzes income diversification and income distribution. The results show that: 1) Digital capability is significantly and positively associated with per capita household income. The internal instrumental variable estimates and multiple robustness checks yield results in the same direction, and the coefficients of both digital technology access and digital technology use are significantly positive. 2) Digital capability is positively associated with participation in non-farm employment and digital platforms, with the latter measured by online shopping frequency, providing support for two potential income-enhancing channels. 3) In the subgroup estimations, the coefficient of digital capability is significantly positive for both gender groups and both education groups, while its statistical significance differs across age, household-size, and cooperative-membership groups. 4) Rural households with stronger digital capability have more dispersed income shares across sources and lower levels of individual relative deprivation, while the estimated coefficients are numerically larger at lower income quantiles. Accordingly, policies should improve access to digital technologies in rural areas, strengthen farmers’ digital skills training, expand the application of digital technologies in employment and business activities, and provide differentiated support for different groups.

     

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