本文關(guān)鍵詞：中國(guó)城鄉(xiāng)居民收入差距的測(cè)度及因素分析　出處：《天津財(cái)經(jīng)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

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

【摘要】：城鄉(xiāng)居民收入差距一直深受社會(huì)各個(gè)方面的關(guān)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(nóng)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(wèn)題引起國(guó)內(nèi)外學(xué)者的廣泛研究。因此,如何測(cè)度中國(guó)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(jià)值和現(xiàn)實(shí)意義。論文以城鄉(xiāng)居民收入差距為研究對(duì)象,從其測(cè)度方法和因素分析兩個(gè)方面展開(kāi)研究。一方面,通過(guò)對(duì)城鄉(xiāng)居民收入差距測(cè)度方法的梳理,提出一種利用改進(jìn)的數(shù)據(jù)組合形式,來(lái)估計(jì)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(shí)證分析兩個(gè)層次入手,在實(shí)證分析的過(guò)程中,首先利用灰色關(guān)聯(lián)度分析的方法,得到主要影響因素,再對(duì)其進(jìn)行回歸分析,使得研究結(jié)論更具有可信性。研究發(fā)現(xiàn)：中國(guó)城鎮(zhèn)居民、農(nóng)村居民的基尼系數(shù)呈現(xiàn)先增大后減小的趨勢(shì),城鄉(xiāng)混合基尼系數(shù)在2008年達(dá)到最大值；城鎮(zhèn)化率對(duì)中國(guó)城鄉(xiāng)居民收入差距有顯著地影響,不斷加快城鎮(zhèn)化進(jìn)程,有助于縮小中國(guó)城鄉(xiāng)居民收入差距,而工業(yè)化率的提高對(duì)中國(guó)城鄉(xiāng)居民收入差距有顯著地拉大作用；城鄉(xiāng)二元對(duì)比系數(shù)表明中國(guó)農(nóng)業(yè)和非農(nóng)業(yè)部門的生產(chǎn)效率差異,它們差異越大,導(dǎo)致收入差距越大；中國(guó)金融規(guī)模的擴(kuò)大和金融效率的提高會(huì)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(jié)了估計(jì)城鄉(xiāng)混合基尼系數(shù)的方法,并在測(cè)度城鄉(xiāng)居民收入差距時(shí),利用改進(jìn)的方法計(jì)算出中國(guó)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(dòng)因素時(shí),將理論分析與實(shí)證分析相結(jié)合,在較為系統(tǒng)的總結(jié)了影響其變化各種因素的基礎(chǔ)上,運(yùn)用灰色關(guān)聯(lián)分析的方法,確定各因素的關(guān)聯(lián)度,并對(duì)關(guān)聯(lián)度較大的因素進(jìn)行回歸分析,從而得到主要的影響因素,對(duì)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(xué)位授予單位】：天津財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F124.7

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