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The Government Financial Input To The Compulsory Education Research

Posted on:2013-03-22Degree:MasterType:Thesis
Country:ChinaCandidate:B ZhengFull Text:PDF
GTID:2247330377456297Subject:Statistics
Abstract/Summary:PDF Full Text Request
In recent years, with China’s economic development, China’s development ofcompulsory education has also made remarkable achievements, but a lot of problems in thedevelopment process. Especially the lack of compulsory education in total investment andthe balanced development of compulsory.This paper mainly consists of three parts, the first part of compulsory education inChina with the rest of the world of Compulsory Education in comparison, this comparisonincluding quantitative, including policy, through the United States, Japan, France and Cubaand China, the horizontal Contrast China Compulsory Education conclusions. The secondpart of the compulsory education of the total estimated. First use of existing data toestimate the school-age population out to participate in the next five years of compulsoryeducation. Time series model to estimate the birth and death rates within the next few years,re-use population formulas to calculate the next5-10years of school-age population. Onthis basis, respectively, to create multiple linear regression, the gray system predictionmodel and the linear regression model based on gray system, by comparing the pros andcons of each model. The best predictor of the best model for epitaxial forecast. The thirdpart is to study the status of the balanced development of compulsory education, In thispaper, the DEA to evaluate the efficiency of the country’s31provinces and autonomousregions compulsory education spending to make. The study found that the compulsoryeducation expenditure efficiency gap between provinces. And the efficiency of theMidwest was significantly higher than the eastern region. Finally, the actual situation ofChina’s compulsory education finance system in China has made some suggestions.
Keywords/Search Tags:compulsory education, balanced development, time series, the DEA model, the population estimates
PDF Full Text Request
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