何以言行相诡?山东棉农低碳技术采纳悖离现象研究OA

Low-carbon production is an inherent requirement for high-quality agricultural development.Under Chinese basic national condition of a large country with small-scale farmers,cotton farmers generally exhibit a willingness-behavior divergence in the decision-making process of adopting low-carbon agricultural technologies.This phenomenon not only reflects the irrational characteristics in the decision-making process of micro-subjects,but also poses a significant institutional constraint on the green transformation and sustainable development of Chinese cotton industry.Clarifying the key corrective variables for the divergence in cotton farmers' adoption of low-carbon technologies is of great theoretical value and practical significance for resolving the high willingness-low adoption dilemma.Based on the survey data of 516 cotton-growing households in Shandong Province,this study empirically analyzed the impact and mechanism of digital literacy and environmental regulations on the divergence and degree of divergence in cotton farmers' adoption of low-carbon technologies using the Double-Hurdle two-stage model.The findings were as follows:both digital literacy and environmental regulations could correct the divergence and degree of divergence in cotton farmers' adoption of low-carbon technologies.The corrective effects of digital literacy and environmental regulations on the divergence in low-carbon technology adoption among new agricultural business entities and large-scale farmers were more significant.Digital literacy could correct the divergence in cotton farmers' adoption of low-carbon technologies through information sharing and technology embedding,and the neighborhood effect had a positive moderating effect on the relationship between environmental regulations and the divergence in cotton farmers' adoption of low-carbon technologies.Therefore,it is suggested that while optimizing environmental regulation policies,efforts should be made to enhance the digital literacy training for cotton farmers and fully leverage the role of social networks to ensure that the results of cotton farmers' adoption of low-carbon technologies align with the goals.