“双碳”目标下农业绿色发展动态数智化路径研究

Research on the Dynamic Smart Digitalization Paths of Green Agricultural Development under the Goal of“Carbon Peaking and Carbon Neutrality”

农业绿色发展在实现“双碳”目标过程中具有重要意义。基于“双碳”背景,本文采用汇总型fsQCA方法,分析由六个数智化条件的不同组态所形成的农业绿色发展动态数智化路径,从组态视角系统阐释了农业绿色发展数智化的多重并发路径,推动农业绿色发展数智化的因果逻辑性研究向多维交互的整体视角转变。研究发现,农业绿色发展的数智化需重视各数智化条件之间的联动匹配;农业绿色发展的数智化路径呈现了由单一到多元的动态变化;不同时间段内的农业绿色发展数智化路径保持了高度的连贯性;农业绿色发展的数智化组态路径具有“多重并发”特征,可归结为双驱动、多元驱动、多元发展以及各条件并存等四种驱动模式。

The green agricultural development is of great significance for achieving the goal of“carbon peaking and carbon neutrality”.In the context of the goal of“carbon peaking and carbon neutrality”,this article uses fsQCA method to analyze the dynamic smart digitalization paths of green agricultural development formed by different configurations of six smart digitalization conditions,systematically explains the multiple concurrent paths of smart digitalization of green agricultural development from the perspective of configurations,and promotes the transformation of the causal logic study of smart digitalization of green agricultural development to the holistic perspective of multi-dimensional interaction.The study shows that:the smart digitalization of green agricultural development should pay attention to the connectivity and matching of various smart digitalization conditions;the smart digitalization paths of green agricultural development present a dynamic change from singularity to diversity;the smart digitalization paths of green agricultural development in different periods have maintained a high degree of consistency;the smart digitalization configuration paths of green agricultural development have the characteristics of“multiple concurrency”,which can be summarized into four driving modes:dual drive,diversified drive,diversified development and the coexistence of various conditions.