A Study on the Effects and Influencing Factors of Agricultural Support and Subsidy Policies from Big Data Computing and Analysis

Abstract

Agriculture is the backbone of any country in any given situation. Without agriculture, it will be very difficult for any living being to survive. To increase productivity in agriculture, the farmers are dependent on government policies and subsidiaries provided to them. The policies and subsidiaries should support and encourage farmers to work hard and do some innovations in agriculture. In this research work, an agriculture dataset concerning the policies and subsidiaries of China is considered. The research proposed a subsidy distribution algorithm for evaluating the policies. The proposed model provided an accuracy of 98% in determining the research objectives. The study results revealed that procedural support for government subsidy policies and agricultural support is low. It is recommended to increase domestic policy to support agriculture.