Exploring the role of agricultural subsidy policies for sustainable agriculture Based on Chinese agricultural big data

Abstract

Agricultural subsidy policy is a policy means for the government to ensure the living standard of agricultural personnel and food security and improve the overall income of agricultural residents. With the gradual complication of the content of agricultural subsidies, the scale of various subsidies has also been improved accordingly. Sustainable agricultural subsidy policy has become the main research topic in the big data analysis environment. The per capita agricultural production still shows a downward trend year by year in the practical application of the concept of modernization policy. Facing this situation, this paper calculates the effect evaluation of agricultural subsidy policy from the way of big data analysis, and studies the optimization of subsidy policy system. The data mining technology in big data analysis method is used to collect the basic characteristics of agricultural energy subsidy policy. The Douglas calculation function is used to analyze the relationship between the amount of agricultural energy subsidies and the total production. The effect of Chinese agricultural subsidy policy is evaluated according to the calculation tools such as gray relationship calculation in big data econometric analysis and nonparametric data analysis DEA. At the same time, compared with the subsidy policies of other countries, it provides help for the optimization of Chinese system.