The Proportion Variation Of The National Incomes,and The Analysis Of The Influencing Factors

This paper will use the statistic data in the table of flow funds from1992to2011,to calculate the proportion of different elements income (workers compensation, net production tax, property income operating retained),and then calculate the proportion of income of the household sector, corporate sector and government sector. Found that the proportion of workers compensation is falling, and the proportion of net production tax of government is rising.According to the data of initial national income from the flow of funds, we analyze the proportion of gross national income of the three departments, found that the proportion of household sector has decreased from1992to2011, while the proportion of income about government and corporate sectors has increased. This shows the situation about two increased and one decreased which academics agree. The national income distribution continues to tilt to the government and corporate sectors. After the redistribution of national income, we analyze the situation of income distribution about the household sector, government sector and corporate sector, found that after redistribution,the household sector shows a further fall in proportion income,and the proportion of income about government sector has increased, which contraries to the initial intention to improve the proportion of income of household sector, based on which, we calculate the social security contributions, social security benefits and social welfare spending to analyze the causes of the situation of national income distribution after redistribution. Also because there are some flaws in the flow of funds, we use the data from Projects constitute gross regional product to correct the data of flow of funds. After correction, found that the proportion of household sector in national income is lower.To explore other factors which has an impact on the income share of household sector, we introduce capital deepening, technological progress, human capital, employment, investment, Industrial structure, economic growth and other related variables to establish multiple linear regression, found that capital deepening, human capital, industrial structure and employment rates have a significant impact on residents’income. In order to measure the correlation between these four indicators and the proportion of income about household sector, we use the method called gray correlation to measure the correlation coefficient and correlation degree,found that the maxmum correlation degree is the correlation between employment rates and residents’proportion of income then the human capital industrial structure, and the minimum of correlation degree is capital deepening.