Research on Influencing Factors of Farmers'Income Based on Gray Theory:A Case Study of Shaanxi Province
Increasing farmers'income is a key task and an important indicator of rural revitalization,and it is also an inevitable requirement of the national strategic goal of promoting common prosperity.Based on the agricultural data and farmers'income in Shaanxi Province during 2012～2022,8 first-level indicators and 23 second-level indicators were selected from the agricultural product planting,agricultural product breeding,scientific and technological factors,resources,market economy,health services,transportation and other categories.The gray correlation analysis method was used to analyze the correlation between each influencing factor and farmers'income,and the gray prediction model was used to predict and analyze some of the secondary indicators.The results show that the indicators of agricultural products and market economy are the most closely related to farmers'income in Shaanxi Province,and the raw coal output and scientific and technological factors also have a strong influence,and Shaanxi Province.As a major agricultural province,Shaanxi should give full play to its advantages,adapt measures to local conditions,vigorously develop the model of"science and technology + agriculture"and increase farmers'income.
Farmers'incomeGrey correlation analysisGrey prediction model
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