数字化转型对涉农企业全要素生产率的影响研究OACHSSCD

Digital technology constitutes an important driving force for promoting high-quality agricultural development.Based on resource orchestration theory,this study employs micro-level unbalanced panel data of agricultural-related enterprises listed on China's A-share market over the period 2012-2024.By applying fixed effects models,double machine learning models,and mediation effect models,this paper empirically examines the impact of digital transformation on the total factor productivity of agricultural-related enterprises and explores the underlying mechanisms.The results indicate that digital transformation significantly improves the total factor productivity of agricultural-related enterprises,and this conclusion remains valid after a series of robustness and endogeneity tests.Mechanism analysis further shows that digital transformation enhances total factor productivity primarily by strengthening agricultural-related enterprises'innovation capability and optimizing human capital.Heterogeneity analysis reveals that the productivity-enhancing effect of digital transformation is more pronounced for agricultural-related enterprises located in eastern regions,those with state ownership,and those engaged in planting and breeding activities,while the effects are relatively weaker for agricultural-related enterprises in the central and western regions,non-state-owned agricultural-related enterprises,and processing and manufacturing sectors.Based on these findings,governments should improve regional digital infrastructure,formulate differentiated digital transformation policies,and optimize the external environment for agricultural-related enterprises.Agricultural-related enterprises,in turn,should align digital transformation with their own development conditions,coordinate the allocation of capital,technology,and human resources,and choose appropriate digital transformation pathways.