甘肃省智慧农业测度及影响因素分析

Measurement and Influencing Factors of Smart Agriculture in Gansu Province

本文应用波拉特法衡量农业信息部门的生产总值,计算出甘肃省2011-2020年这十年间农业第一、第二信息部门的生产总值,对甘肃省智慧农业发展水平进行测度。以甘肃省智慧农业发展水平作为被解释变量,以5项指标作为解释变量,应用普通最小二乘回归法实证分析影响甘肃省智慧农业发展的因素。实证结果发现:农业财政投入、有效灌溉面积、农业机械化水平等因素会对智慧农业发展产生显著的正向影响关系。最后,针对智慧农业发展所遇到的问题提出了一些建议,为促进甘肃省智慧农业可持续发展提供参考。

This paper measured the gross product of agricultural information sector by using Porat method,calculated the gross product of the first and second agricultural information sector in Gansu Province from 2011 to 2020,and measured the development level of smart agriculture in Gansu Province.With the development level of smart agriculture in Gansu province as the explained variable and 5 indicators as the explanatory variables,the common least squares regression method was applied to analyze the factors affecting the development of smart agriculture in Gansu Province.The empirical results show that agricultural financial input,effective irrigation area,agricultural mechanization level and other factors have a significant positive impact on the development of smart agriculture.Finally,some suggestions are put forward to solve the problems encountered in the development of smart agriculture,which can provide reference for promoting the sustainable development of smart agriculture in Gansu Province.