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Study On The Influence Path And Effect Of Agricultural Mechanization To Grain Production

Posted on:2019-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:Q L ChenFull Text:PDF
GTID:2439330566973101Subject:Applied Economics
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People is the basic of a country,food is the basic of the people.Grain is an important strategic material for agricultural production,and agricultural machinery as an important input factor and production tool of grain production has been strengthened in the work of agriculture,rural areas and farmers.Since entering the new century,China's rural labor force scale into the city,the rural labor force of rural labor costs increased significantly,showing a "part-time" "feminine" and "aging" trend.Grain production has achieved twelve consecutive increases in 20004 years.What is the path of agricultural mechanization to affect grain? What is the effect of its effect? Around the above problems,based on agricultural machinery in grain production as the research object,combined with the two aspects of theoretical and empirical analysis,research on rural labor costs increased significantly under the background of agricultural mechanization to influence and effect on grain production,to provide relevant policy suggestions for the development of agricultural machinery and food production after this.First of all,the present situation of Agricultural Mechanization Development in China is analyzed by using the data of relevant indicators,The result shows: China's agricultural mechanization has made great progress in the whole.A significant increase in the total power of agricultural machinery in the whole country and in all provinces and regions;uneven development of agricultural machinery products;in the process of agricultural mechanization of farming,organic farming operations of high degree,sowing work degree,low degree of machine operation.On this basis,this paper used the case analysis method and comparative analysis method to systematically sort out the path of the impact of Agricultural Mechanization on grain production,mainly from the following three aspects: output effect,structural effect and other effects.Secondly,using the transcendental logarithmic production function model,the output elasticity and substitution elasticity of maize and wheat in the period of 1995-2015 were calculated.Research discovery:(1)The input and output elasticity of agricultural machinery showed an upward trend year by year,from the negative elasticity at the beginning to the positive elasticity,while the labor input and output elasticity value has always been negative,and the negative value trend is increasing(2)There is a significant substitution relationship between the input of agricultural machinery and labor force,and the degree of substitution is phased.There is also a certain substitution relationship between chemical fertilizer input and seed input and agricultural machinery,but the degree of substitution is far lower than that of labor input and agricultural machinery.Finally,the stochastic frontier function and technical efficiency loss function are used to calculate the technical efficiency of inter provincial grain production,and further explore the impact of Agricultural Mechanization on grain production efficiency.The results are as follows:(1)the technical efficiency of maize and wheat production in China is obviously improved(2)Agricultural Mechanization played a significant positive role in promoting grain technology efficiency.Education level,farmers' business income and economic development level improved the efficiency of grain technology.The future should promote the development of agricultural mechanization,such as cultivating the main body of the scale management,development of grain refinement,high automation level of mechanization,according to local conditions to promote regional agricultural mechanization technology promotion and research and innovation,in order to achieve the long-term goal of grain production.
Keywords/Search Tags:Agricultural Mechanization, Grain Production, Influence Path, Factor Input, Production Efficiency
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