<p>The convergence of market volatility, natural disasters, and external shocks has created complex challenges that expose critical deficiencies in farmers’ risk resistance capacity, livelihood adaptation capacity, and learning innovation capacity, making the enhancement of farmers’ income resilience through digital rural development a pressing concern. Using panel data from 30 Chinese provinces (2011–2022), this study systematically examines the mechanisms through which digital rural development affects farmers’ income resilience. Three key findings emerge: First, digital rural development significantly enhances farmers’ income resilience, following a dynamic pattern of “initial strengthening–subsequent weakening–renewed strengthening.” Digital information infrastructure and rural industrial digitalization currently serve as primary drivers, while the effects of rural governance digitalization and lifestyle digitalization remain nascent; enhancement occurs predominantly through strengthened risk resistance capacity and learning innovation capacity. Second, from the urban-rural factor marketization perspective, digital rural development strengthens income resilience by expanding agricultural credit, promoting non-public sector labor participation, and activating technology markets; from the public service equalization perspective, it improves income resilience by elevating rural minimum living standards and increasing compulsory education investment. Third, the impact exhibits significant regional heterogeneity—most pronounced in western regions, followed by central and northeastern regions, and relatively weaker in eastern regions; from the grain supply-demand perspective, grain-balanced areas demonstrate markedly stronger effects than major grain-producing and grain-consuming regions. This study provides theoretical foundations and empirical support for evaluating digital rural development effectiveness in developing countries, reducing farmers’ vulnerability to poverty relapse, cultivating resilient smallholders, and formulating differentiated policy strategies.</p>

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How digital rural development can boost farmers’ income resilience

  • Chen Ao,
  • Tian Chunyan,
  • Guan Chen,
  • Jiang Zhide

摘要

The convergence of market volatility, natural disasters, and external shocks has created complex challenges that expose critical deficiencies in farmers’ risk resistance capacity, livelihood adaptation capacity, and learning innovation capacity, making the enhancement of farmers’ income resilience through digital rural development a pressing concern. Using panel data from 30 Chinese provinces (2011–2022), this study systematically examines the mechanisms through which digital rural development affects farmers’ income resilience. Three key findings emerge: First, digital rural development significantly enhances farmers’ income resilience, following a dynamic pattern of “initial strengthening–subsequent weakening–renewed strengthening.” Digital information infrastructure and rural industrial digitalization currently serve as primary drivers, while the effects of rural governance digitalization and lifestyle digitalization remain nascent; enhancement occurs predominantly through strengthened risk resistance capacity and learning innovation capacity. Second, from the urban-rural factor marketization perspective, digital rural development strengthens income resilience by expanding agricultural credit, promoting non-public sector labor participation, and activating technology markets; from the public service equalization perspective, it improves income resilience by elevating rural minimum living standards and increasing compulsory education investment. Third, the impact exhibits significant regional heterogeneity—most pronounced in western regions, followed by central and northeastern regions, and relatively weaker in eastern regions; from the grain supply-demand perspective, grain-balanced areas demonstrate markedly stronger effects than major grain-producing and grain-consuming regions. This study provides theoretical foundations and empirical support for evaluating digital rural development effectiveness in developing countries, reducing farmers’ vulnerability to poverty relapse, cultivating resilient smallholders, and formulating differentiated policy strategies.