我国国民收入占比变化及其影响因素分析

发布时间：2018-02-01 17:06

本文关键词： 资本深化资金流量表劳动者报酬产业结构关联度　出处：《浙江工商大学》2014年硕士论文　论文类型：学位论文

【摘要】：本文利用统计局中1992至2011年的资金流量表中的数据,测算了不同要素(劳动者报酬、生产税净额、财产收入、经营性留存)收入的占比,并分别计算居民部门、企业部门、政府部门的各要素的收入占比。分析发现,从1992年至2011年我国居民部门的劳动者报酬在不断下降,而构成政府部门的生产税净额则不断上升。根据资金流量表中的初次分配总收入,分析我国三大部门占国民总收入的比重,发现我国居民部门收入比重自1992年至2011年总体上处于下降趋势,而企业部门收入占比则在不断上升,政府部门收入比重也在微弱上升,出现了学术界一致认可的两升一降的局面,国民收入分配不断向政府部门和企业部门倾斜。经过再分配,测算了我国居民、政府、企业部门的收入占可支配总收入比重,发现居民部门收入较初次分配份额进一步下降,而政府部门收入份额较再分配前有所提升,违背了提高居民收入的初衷。在此基础上测算了我国再分配收入要素中的社保缴费、社保福利支出和社会补助,分析我国三大部门收入经过再分配后的国民收入占比变化的原因。又由于资金流量表存在一定的缺陷,本文利用国家统计局颁布的地区生产总值项目结构中的数据修正资金流量表中的数据,重新运用公式测算三大部门的收入。发现经过修正后,居民部门收入进一步下降。为了探究居民部门收入占比下降的其他间接原因,本文引入了资本深化、技术进步、人力资本、就业率、投资率、产业结构、经济增长率等相关变量,建立多远线性回归模型,发现资本深化、人力资本、产业结构调整和就业率对居民收入占比影响显著。为了进一步测算这四个指标对居民收入占比关联程度的大小,本文运用灰色关联度测算了关联系数和关联度,研究发现就业率对居民收入占比的关联度最高,而人力资本仅次于就业率,产业结构位于第三,资本深化位列第四。
[Abstract]:Based on the data in the fund flow statement from 1992 to 2011 in the Bureau of Statistics, this paper calculates the proportion of income of different factors (remuneration of workers, net production tax, property income, operating retention). And calculate the proportion of income of the residents, enterprises and government departments separately. The analysis found that from 1992 to 2011, the remuneration of the workers in the resident sector in our country is declining. And the net production tax that constitutes government department is rising ceaselessly. According to the initial distribution of total income in the fund flow statement, this paper analyzes the proportion of the three major sectors in the gross national income (GNI) in China, and finds that the proportion of the income of the resident sector in our country is in a general downward trend from 1992 to 2011. While the proportion of enterprise income is rising, the proportion of government revenue is also rising, there is a consensus in the academic community of two liters and a decline in the situation. The distribution of national income has been inclined to government departments and enterprise departments. After redistribution, the proportion of income of residents, governments and enterprises in the total disposable income has been measured. It is found that the income of the resident department is lower than that of the initial distribution, while the income share of the government is higher than that before the redistribution. It violates the original intention of raising residents' income. On this basis, it calculates the social security payment, social security welfare expenditure and social subsidy in the redistribution income elements of our country. This paper analyzes the reasons for the change of the proportion of national income after the redistribution of the income of the three major sectors of our country, and also analyzes the defects of the fund flow statement. This paper uses the data in the project structure of the regional GDP issued by the National Bureau of Statistics to revise the data in the fund flow statement, and reuses the formula to calculate the income of the three major sectors. The income of the residential sector fell further. In order to explore the other indirect reasons for the decline of income in the resident sector, this paper introduces the related variables such as capital deepening, technological progress, human capital, employment rate, investment rate, industrial structure, economic growth rate and so on. Establish the linear regression model of how far away, find the capital deepening, human capital. The adjustment of industrial structure and employment rate have a significant impact on the proportion of resident income. In order to further calculate the correlation degree of the four indicators to the proportion of residents' income, this paper calculates the correlation coefficient and the correlation degree by using the grey correlation degree. The study found that employment rate has the highest correlation to the proportion of residents' income, while human capital is second only to employment rate, industrial structure is third, capital deepening is 4th.
【学位授予单位】：浙江工商大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F124.7

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