本文關鍵詞：中國城鄉(xiāng)居民收入差距的測度及因素分析　出處：《天津財經大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 城鄉(xiāng)居民 收入差距 基尼系數(shù) 灰色關聯(lián)分析

【摘要】：城鄉(xiāng)居民收入差距一直深受社會各個方面的關注,收入分配制度改革也被提上日程。在城鎮(zhèn)居民收入明顯高于農村居民收入的背景下,深化分配制度改革,統(tǒng)籌城鄉(xiāng)發(fā)展,不斷縮小城鄉(xiāng)居民收入差距問題引起國內外學者的廣泛研究。因此,如何測度中國城鄉(xiāng)居民收入差距并尋找影響其變化的因素具有十分重要的理論價值和現(xiàn)實意義。論文以城鄉(xiāng)居民收入差距為研究對象,從其測度方法和因素分析兩個方面展開研究。一方面,通過對城鄉(xiāng)居民收入差距測度方法的梳理,提出一種利用改進的數(shù)據組合形式,來估計城鄉(xiāng)居民混合基尼系數(shù)的方法。另一方面,因素分析從理論角度和實證分析兩個層次入手,在實證分析的過程中,首先利用灰色關聯(lián)度分析的方法,得到主要影響因素,再對其進行回歸分析,使得研究結論更具有可信性。研究發(fā)現(xiàn)：中國城鎮(zhèn)居民、農村居民的基尼系數(shù)呈現(xiàn)先增大后減小的趨勢,城鄉(xiāng)混合基尼系數(shù)在2008年達到最大值；城鎮(zhèn)化率對中國城鄉(xiāng)居民收入差距有顯著地影響,不斷加快城鎮(zhèn)化進程,有助于縮小中國城鄉(xiāng)居民收入差距,而工業(yè)化率的提高對中國城鄉(xiāng)居民收入差距有顯著地拉大作用；城鄉(xiāng)二元對比系數(shù)表明中國農業(yè)和非農業(yè)部門的生產效率差異,它們差異越大,導致收入差距越大；中國金融規(guī)模的擴大和金融效率的提高會拉大城鄉(xiāng)居民收入差距。論文的創(chuàng)新之處主要體現(xiàn)在：(1)較為系統(tǒng)全面的總結了估計城鄉(xiāng)混合基尼系數(shù)的方法,并在測度城鄉(xiāng)居民收入差距時,利用改進的方法計算出中國城鄉(xiāng)居民混合基尼系數(shù)。(2)在研究影響城鄉(xiāng)居民收入差距變動因素時,將理論分析與實證分析相結合,在較為系統(tǒng)的總結了影響其變化各種因素的基礎上,運用灰色關聯(lián)分析的方法,確定各因素的關聯(lián)度,并對關聯(lián)度較大的因素進行回歸分析,從而得到主要的影響因素,對以后的研究有一定的借鑒意義。
[Abstract]:The income gap between urban and rural residents has been deeply concerned by all aspects of society, and the reform of income distribution system has also been put on the agenda. Under the background that the income of urban residents is obviously higher than that of rural residents, the reform of distribution system has been deepened. Coordinating urban and rural development and narrowing the income gap between urban and rural residents has caused extensive research by domestic and foreign scholars. How to measure the income gap between urban and rural residents in China and find the factors that affect the change has very important theoretical value and practical significance. This paper takes the income gap of urban and rural residents as the research object. On the one hand, through combing the measurement method of income gap between urban and rural residents, a kind of improved data combination form is put forward. On the other hand, factor analysis from the theoretical perspective and empirical analysis of two levels, in the process of empirical analysis, the first use of grey correlation analysis method. The main influencing factors are obtained, and then regression analysis is carried out to make the conclusions more credible. The study found that the Gini coefficient of Chinese urban residents and rural residents showed a trend of first increasing and then decreasing. The Gini coefficient between urban and rural areas reached the maximum in 2008. Urbanization rate has a significant impact on the income gap between urban and rural residents in China. Accelerating the process of urbanization will help to narrow the income gap between urban and rural residents in China. The increase of industrialization rate has a significant effect on the income gap between urban and rural residents in China. The urban-rural dual contrast coefficient shows that there are differences in productivity between agricultural and non-agricultural sectors in China. The greater the difference between them, the bigger the income gap. The expansion of Chinese financial scale and the improvement of financial efficiency will widen the income gap between urban and rural residents. The innovation of this paper is mainly reflected in: 1) the method of estimating the mixed Gini coefficient between urban and rural areas is summarized systematically and comprehensively. And in measuring the income gap between urban and rural residents, using the improved method to calculate the mixed Gini coefficient of Chinese urban-rural residents. Combining the theoretical analysis with the empirical analysis, on the basis of systematically summarizing the various factors affecting their changes, the grey correlation analysis method is used to determine the correlation degree of each factor. The main influencing factors are obtained by regression analysis of the factors with high correlation degree, which will be useful for future research.
【學位授予單位】：天津財經大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F124.7

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本文編號：1400722