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Research On The Influential Factors Of Agricultural Economic Growth Of Shaanxi

Posted on:2018-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:H S ZhengFull Text:PDF
GTID:2359330512999963Subject:Agricultural Economics and Management
Abstract/Summary:PDF Full Text Request
The reason why most people give attention to agriculture is that all of us afraid of the supply shortages and starvation in the future.As an agricultural country,so many people pay attention to the agricultural problems.Meanwhile,the problem of agricultural economic growth becomes its top priority.After the reform and opening up,the agricultural economic growth in China has made breakthrough progress,but there are also some problems,such as financial capital support of agricultural development is still weak,the level of agricultural industrialization remains low.Such as agricultural talents team construction,the agricultural science and technology is relatively weak and so on.Therefore,we need to explore the problems of the agricultural economic growth.The paper makes research to the dynamic theory of economic growth,analyzes the current situation of agricultural economy growth in Shaanxi Province,and to explore the factors influencing the growth of agricultural economy in Shaanxi Province,put forward some countermeasures to promote agricultural economic growth in Shaanxi province.The paper firstly defines the concept of agricultural research scope and agricultural economic growth,and how to measure agricultural economic growth index.Secondly,the paper research to agricultural economic growth and agricultural economic growth in Shaanxi province to analyze the status quo of agricultural industry,the internal rate of total agricultural output through the years of change and growth.Thirdly,through the analysis of agricultural economic growth and indicators in various regions of Shaanxi province in 2015,the influence factors of agricultural economic growth are analyzed by factor analysis,with the present situation is supplemented.The influence factors of agricultural economic growth,using the C-D production function,the establishment of agricultural economic growth model,using1996 to 2015 data,the total output value,animal husbandry and fishery effective irrigation area,total power of agricultural machinery,agricultural workers and financial support for agriculture,rural consumption,agricultural plastic the film uses 7 indexes,the area of soil erosion,using principal component analysis and multiple regression analysis to do a quantitative study on the relation between the influence factors and the growth of agricultural economy,the amount of each factor impact on agricultural economic growth.Finally,according to the quantitative analysis results of the related methods and models,the paper puts forward some countermeasures to promote agricultural economic growth.According to the empirical conclusions,the paper puts forward some suggestions on how to improve agricultural economic growth: promoting the formation of agricultural capital,increasing labor supply,encouraging the supply of rural public goods and encouraging technological progress.About the conclusion of this paper,the first is analyzing the various regions of Shaanxi province by using the factor analysis method,the advantages and disadvantages of each area,thus targeted improvement,rather than directly copied from other regions experience good economic growth.Second,the article put the various influence factors of agricultural economic growth and output variable into the model.So the different influence factors of various influence on agricultural economic growth,promote the role of various factors in different degree.According to the empirical results,the paper draw a conclusion that the relationship between agricultural economic growth at the same time,the waste of resources,agriculture the remaining personnel problems existing in agricultural production,so as to the relevant policy makers to provide targeted advice.
Keywords/Search Tags:Agricultural economic growth, Affecting factors, Factor analysis, Principal component analysis
PDF Full Text Request
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