Design And Analysis Of Farmer Education Quality Index

In the sense of“improve knowledge prior to improve poor”,since the reform and opening up,China has paid more attention to the development of basic education and vocational education in rural areas,and the income level and education level of farmers have been significantly improved.China is gradually strengthening the implementation of farmer training and peasant qualification certification system,with a view to cultivating a group of agricultural production backbone To solve the problem of who to farming.Farmers training and qualification related to farmers to cultivate the question of "what to teach" and "how to test",through the education indicators of the way the contents of education and assessment of specific content,can solve the current farmers training re-investment,heavy and light quality of the phenomenon.This paper consists of five chapters,the first part is mainly to explain the research background,research issues and research significance.The second part mainly discusses the definition of related concepts,the introduction of relevant theories,and the research summary at home and abroad.The research of this paper focuses on the third and fourth parts,including the macro indicators of peasant education and the micro indicators.Based on the statistical data of Shandong province since 1995 the macroeconomic indicators analyze the relationship between the income level of peasants and the educational indicators,and the long-term equilibrium and short-term effects among the various educational indicators.The research of micro-indicators is to quantify the quality of the peasants by decomposing the quality of the peasants' education into individual and specific indicators,and then quantifying the indicators by the analytic hierarchy process Individual education quality.In the fifth part,we analyze the research insufficiency and the research prospect,and make suggestions for the future research.Eviews,excel and citespace are used in the empirical analysis.Eviews are used to analyze the OLS model and the VAR model used in the macroscopic index study.Excel is used to calculate the weight of the analytic hierarchy process in the microscopic index study.Citespace Used to analyze the key words in the field of agriculture.In this paper,the possible innovation of the design is that,first of all,taking into account the longer time span,and the education index coefficient may gradually change with the scale of education,so the macroeconomic indicators of the indicators into the equation,the equation to enhance the degree of fit;Second,the rural labor force to the city long-term,migrant labor education rate of return due to difficult to be ignored,this paper uses the perpetual inventory method to calculate the labor force of labor mobility and the estimated labor migration rate of labor migration;In the micro-indicators of the quality of education of farmers to join the farmers can reflect the learning ability of the factors.The main conclusions of this paper are that there is a good linear correlation between high school education and farmer training and income level in macroeconomic education index,but the compulsory education index equation of compulsory education squares is well fitted but the square coefficient is negative,indicating that compulsory education The rate of return is decreasing;and there is no long-term equilibrium relationship between the macro indicators,but can have short-term impact.The ten indicators of the highest weight of the peasant education quality are the functions of the agricultural cooperative organization,the agricultural policy,the agricultural development concept,the information decision,the agricultural cooperative organization system,the agricultural culture,the agricultural technology application,the agricultural technology function cognition,Market information,logical ability.