Authors

Abstract

This paper uses panel data from Sichuan Province and Shandong Province from 2012 to 2022 to build an evaluation index system for the development of smart agriculture. Based on the Cobb-Douglas production function and panel regression methods, it systematically assesses the impact and internal mechanism of smart agriculture on regional agricultural economic growth. The regression results show that for each unit increase in the level of smart agriculture development, the elasticity contribution to agricultural economic output is 0.42, which is significantly higher than that of capital (0.28) and labor (0.17). Provincial regressions reveal significant differences, with Sichuan showing an elasticity coefficient of 0.45 and Shandong 0.37. Smart agriculture plays a significant and positive role in promoting agricultural economic growth, and its effect surpasses that of traditional input factors. Moreover, the effect of smart agriculture varies across regions. The analysis of mediation effects further shows that technological progress serves as a key pathway through which smart agriculture influences agricultural economic growth. Robustness checks and extended analyses confirm the reliability of these findings. Finally, the paper puts forward policy recommendations focusing on strengthening technological innovation, improving infrastructure, and cultivating talent.

Abstract in Chinese

本文采用2012 - 2022年四川省和山东省的面板数据，构建智慧农业发展的评价指标体系。基于Cobb-Douglas生产函数和面板回归方法，系统评估了智慧农业对区域农业经济增长的影响及其内在机制。回归结果表明，智慧农业发展水平每提高一个单位，其对农业经济产出的弹性贡献为0.42，显著高于资本（0.28）和劳动力（0.17）。各省回归显示出显著差异，四川的弹性系数为0.45，山东为0.37。智慧农业对农业经济增长具有显著的积极促进作用，其作用超过了传统投入要素。此外，智能农业的效果因地区而异。中介效应分析进一步表明，技术进步是智慧农业影响农业经济增长的关键途径。稳健性检查和扩展分析证实了这些发现的可靠性。最后，提出了加强技术创新、完善基础设施、培养人才的政策建议。