An Empirical Analysis of the Influencing Factors of Farmers’ Income Growth in the Middle and Lower Reaches of the Yangtze River Based on the Grey Correlation Model

Abstract

With the deep implementation of the rural revitalization strategy, increasing farmers’ income has also become a key measure to solve the three rural issues. The transformation of rural production environment and ecological environment has brought opportunities and challenges for farmers to increase their income. Analysis of factors affecting agricultural income is of great significance for improving farmers’ lives and increasing farmers’ income. In this paper, the grey relational theory is used to analyze the correlation between indicators and farmers’ income. The internal relationship between natural disasters and agricultural income is studied, and the effective way to increase farmers’ income is proposed. The assessment results show that, first of all, first of all, the income of farmers’ family business in the study area is affected by the level of agricultural science and technology, land productivity and disaster mechanism. Secondly, the application of agricultural science and technology with machinery and fertilizer as the mains has the greatest impact on farmers’ income. Third, in the middle and lower reaches of the Yangtze River, the income of farmers’ family business is threatened by droughts and floods. Through the analysis of the grey correlation model, the intrinsic link between farmers’ income and indicators is more intuitive, and the difference in the importance of indicators is more obvious. According to the analysis, the government and farmers can better allocate limited resources, be alert to the threat of natural disasters, and increase farmers’ income.