时空双维下农业新质生产力驱动农民农村共同富裕的多元路径OACHSSCD

Based on the panel data from 30 provinces spanning 2014 to 2023,this study employs dynamic QCA methods to explore the spatial-temporal evolutionary pathways through which agricultural new quality productive forces,framed within a four-dimensional " technology-factors-industry-efficiency " framework,influence common prosperity for farmers and rural areas. The findings reveal that no single necessary condition among the antecedents of agricultural new quality productive forces can drive high levels of common prosperity for farmers and rural areas. Four configurational pathways capable of fully unlocking high-level common prosperity for farmers and rural areas are identified,namely,"green-technology synergy-driven type","digital-green-industry multi-support type"," digital-green-industry core-driven type",and " digital-green-technology integrationempowered type",revealing multi-dimensional equivalent driving models.None of these configuration pathways exhibit significant temporal effects. In the spatial dimension,the necessity of digital infrastructure for the central region is significantly stronger than that for the northeastern region. Therefore,policy interventions should prioritize systemic integration,adopt regionally differentiated strategies,and provide localities with a diverse menu of pathway options.