本文選題：城鎮(zhèn)貧困　切入點(diǎn)：分位數(shù)回歸　出處：《北方工業(yè)大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：貧困問題一直受到國(guó)內(nèi)外學(xué)者的關(guān)注。由于我國(guó)正處于經(jīng)濟(jì)轉(zhuǎn)型中,經(jīng)濟(jì)轉(zhuǎn)型所造成的城鎮(zhèn)貧困問題日益凸顯,研究這些問題不僅對(duì)我國(guó)的發(fā)展有重大意義,對(duì)當(dāng)代經(jīng)濟(jì)學(xué)的發(fā)展也有重要的理論意義。 本文主要是從數(shù)據(jù)角度對(duì)我國(guó)貧困階層進(jìn)行分析,該論文采用了核密度估計(jì)以及分位數(shù)回歸技術(shù)。數(shù)據(jù)來自中國(guó)營(yíng)養(yǎng)與健康調(diào)查(China Health and Nutrition Survey),由于數(shù)據(jù)缺失的問題,本文選取江蘇、山東、河南、湖北、湖南、廣西、貴州這七個(gè)省的數(shù)據(jù)。年份為1989、1993、1997、2000、2004、2006、2009和2011年這八個(gè)年份。各個(gè)省份的人均GDP,性別,年齡,教育程度為分位數(shù)回歸的自變量,收入的對(duì)數(shù)因變量。 本文首先對(duì)城鎮(zhèn)貧困進(jìn)行定義,認(rèn)為分位點(diǎn)為0.05為貧困收入階層,0.2為相對(duì)貧困階層,0.5為中等收入階層,0.8為高等收入階層。并且對(duì)貧困收入階層進(jìn)行特征的分析。通過建模,發(fā)現(xiàn)影響我國(guó)貧困階層收入的主要是教育和地區(qū)經(jīng)濟(jì)發(fā)展?fàn)顩r。地區(qū)經(jīng)濟(jì)發(fā)展?fàn)顩r起決定性作用,但是隨著我國(guó)經(jīng)濟(jì)的發(fā)展,二元結(jié)構(gòu)的減弱,該作用也在逐年下降,教育對(duì)貧困階層影響要多于對(duì)其他各個(gè)收入階層的影響,而性別和年齡的影響是不顯著的,所以通過加強(qiáng)教育普及力度,大力發(fā)展經(jīng)濟(jì),我國(guó)城鎮(zhèn)貧困是可以逆轉(zhuǎn)的。
[Abstract]:The problem of poverty has always been concerned by scholars at home and abroad. As China is in the process of economic transformation, the problem of urban poverty caused by economic transformation is becoming increasingly prominent, so it is of great significance to study these problems not only for the development of our country, but also for the development of China. It is also of great theoretical significance to the development of contemporary economics. This paper mainly analyzes the poor class in China from the point of view of data. This paper uses nuclear density estimation and quantile regression technique. The data are from China Health and Nutrition Survey, due to the lack of data. The data of seven provinces, Jiangsu, Shandong, Henan, Hubei, Hunan, Guangxi and Guizhou, are selected in this paper. The data are from 1989 to 1993,1997,2004,2004,2004,2006,2006,2006,2009 and 2011 respectively. The per capita GDP, sex, age, education level of each province are independent variables of quantile regression. Logarithmic dependent variable of income. In this paper, we first define urban poverty, and consider that the locus is 0.05 for the poor income class 0.2 for the relative poor class and 0.5 for the middle income class and 0.8 for the higher income class, and the characteristics of the poor income class are analyzed. It is found that education and regional economic development are the main factors affecting the income of the poor class in China. The regional economic development plays a decisive role. However, with the development of our economy and the weakening of the dual structure, this role is also declining year by year. The influence of education on the poor class is more than that on the other income groups, but the influence of gender and age is not significant. Therefore, by strengthening the popularization of education and vigorously developing the economy, urban poverty in our country can be reversed.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：D663

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本文編號(hào)：1613545