专业外语(英文版)

新疆大学研究生课程考试（查）论文2013——2014学年第一学期课程名称：专业英语任课教师：买买提•亚森学院：经济与管理学院姓名及学号：贾强1075513001161. Literature reviewInvestment in education to improve the income plays an important role. In recent years, with the deepening of market-oriented reforms, the relationship between education and personal income are getting closer. Statistics show around the labor market: academic education in different regions and different income gap is widening. The reason of widening income gap, from an educational level, are mainly the differences of investment in education, the gap between human capital accumulation and institutional factors.Changjun Yue pointed out that “the higher the education level is the bigger the rate of return education is. Second, the education has remarkable impacts on individual income, but it is not the key factor. Besides the education, other factors such as industry, region, and so on, are also playing very important roles on income.”Fanwen Ma pointed out that“Educationcan greatly improve their level of labor skills, technology and their own quality, to change its form of labor, through the transfer of knowledge and technology to the laborers.Marx believed that the complexity of labor is higher than the average social labor complicated labor, is the performance of such a work, which requires a higher labor force than ordinary labor education costs, its production takes more labor time, so it has a higher value.”Jing Peng ,Dongbei University of Finance and Economics pointed out that“China's urban labor market has been planned economy into a market economy, wage reform and labor mobility wage levels and other factors also make the value of the education level of the labor factor stepwise regression.”But look at the economic and educational development of the country, still showing a lot of problems. Jinzhu Hong pointed out that“China's growing income gap between urban and rural residents, including education as the main way of human capitalinvestment, which directly determines the level of quality of a group of labor and people's income growth rate of speed. Therefore, research and education revenue gains in different regions of different help us rational allocation of educational resources, optimize the structure, narrowing the gap between urban and rural areas, and building a socialist harmonious society better faster.”Thus, Jinzhu Hong for such education, income disparities rural issues raised“To optimize the expenditure structure of education, increase the Midwest and remote areas, especially in rural education, in order to narrow the gap between urban and rural areas and between regions to achieve harmonious development of society; implementation of policies on education subsidies for poor families to address poverty inability to study the situation of families with children; greatly improve the quality of teaching, and resolutely stop arbitrary charges, poor rural Midwest but also to intensify supervision; reform of rural education must change the concept of the premise, established to promote rural economic development educational goals as the guiding ideology.”2.Personal Papers：Data analysisData SourcesThe total revenue from data extraction "China Yearbook Household Survey" in 2010 in 31 provinces, municipalities and autonomous regions per person per year, disposable income, and education spend data. Trying to analyze the correlation between investment in education and how much income.Table 1:2010 in 31 provinces, municipalities and autonomous regions, income andeducational inputs (yuan / person)Source: "China Yearbook Household Survey", 2011, pp. 273,286Data AnalysisCorrelation guessAccording to the table, were produced in 2010 in 31 provinces, municipalities and autonomous regions in education spending and revenue line chart:Figure 2-1:2010 in 31 provinces, municipalities and autonomous education spending(yuan / person)Figure 2-2:2010 in 31 provinces, municipalities and autonomous regions in per capitaincome (yuan / person)Roughly two graphs comparing the income and education can be seen ups and downs in the line graph about the same. This shows that showed significant correlation between income and education spending. From the line graph it is evident that the two peaks, which correspond to the two peaks are Beijing, Tianjin, Shanghai, Jiangsu and Zhejiang. And these provinces, municipalities and happens to be the country economically developed regions and universities gathered in the province. On the other hand, because the ups and downs of the state showed significant similarity, you can guess is a positive correlation between education and income. This positive correlation can be less scatter plots and Pearson test to get a more thoroughexplanation.Figure 2-3: Scatter education spending and incomeScatter from education spending and revenue point of view, on the one hand, education spending and income generally positively correlated. Meanwhile, 31 provinces, municipalities and autonomous regions, the per capita annual income of less than 25,000 yuan and 800 yuan less than the cost of education in the majority, while the per capita income of more than 30,000 yuan and education spending is higher than 1000 element with only three provinces and cities. Scatter-depth explanation of the status quo in this country at the present stage of education and income: Since the reform and opening up, China's economy has developed rapidly indeed, also has a high per capita income increase, but fewer high-income provinces; on the other hand, since 1978 since reopening, the National People's level of education is generally increased, but also attaches great importance to investment in education. But have to say that small proportion of total revenue investment in education, and higher education investment less the provinces. One possible reason: the concept of long-standing problem; or subject to income levels. Education spending varies from a low income, low income can not afford higher educationspending. This is obviously a vicious cycle. Correlation Analysis相关性教育花费人均年收入人均年收入Pearson 相关性.842** 1 显著性（双侧）.000平方与叉积的和32504762.671 911761599.940 协方差1048540.731 29411664.514 N 32 32**. 在 .01 水平（双侧）上显著相关。