廣東城鄉(xiāng)居民收入差距影響因素研究
發(fā)布時間:2019-05-12 08:08
【摘要】:廣東省經(jīng)濟經(jīng)過改革開放三十多年的快速發(fā)展,經(jīng)濟發(fā)展水平和居民收入都得到大幅度的提高,但廣東省城市和農(nóng)村之間的收入和消費差距,都反映出典型的不平等趨勢,城鄉(xiāng)基尼系數(shù)逐年提高。 本文首先選取城鄉(xiāng)收入比作為衡量城鄉(xiāng)收入差距的指標,對廣東省城鄉(xiāng)收入差距的現(xiàn)狀和趨勢進行比較分析,,得出廣東省城鄉(xiāng)收入差距明顯偏高。然后將影響廣東省城鄉(xiāng)收入差距的各因素劃分為兩類,根據(jù)指標確定性和度量上的難易度,選取了GDP總量、非農(nóng)業(yè)人口占比等十八個相關統(tǒng)計指標,并分別對兩類影響因素的各統(tǒng)計指標作主成份分析。對提取的四個主成份進行平穩(wěn)性檢驗和相關性分析之后,使用多元線性回歸模型,得到城鄉(xiāng)收入比和四個主成份的標準化回歸方程,最后得出廣東省城鄉(xiāng)收入比與各統(tǒng)計指標之間的關系。 實證分析的結果表明,第二產(chǎn)業(yè)增加值占GDP比重、第三產(chǎn)業(yè)增加值占GDP比重、城鎮(zhèn)登記失業(yè)率、城鄉(xiāng)固定資產(chǎn)投資額對比和財政支農(nóng)支出占財政總支出比重這五個統(tǒng)計指標起到縮小城鄉(xiāng)收入差距的作用,而剩余的十三個統(tǒng)計指標則具有擴大城鄉(xiāng)收入差距的效應。在文章的最后,通過借鑒各國和地區(qū)縮小城鄉(xiāng)收入差距的經(jīng)驗,并結合前文分析提出縮小廣東省城鄉(xiāng)收入差距的對策建議。
[Abstract]:After more than 30 years of rapid economic development after more than 30 years of reform and opening up, the level of economic development and the income of residents have been greatly improved, but the income and consumption gap between urban and rural areas in Guangdong Province reflects a typical trend of inequality. The Gini coefficient between urban and rural areas is increasing year by year. In this paper, the urban-rural income ratio is selected as the index to measure the urban-rural income gap, and the present situation and trend of the urban-rural income gap in Guangdong Province are compared and analyzed, and it is concluded that the urban-rural income gap in Guangdong Province is obviously high. Then the factors that affect the income gap between urban and rural areas in Guangdong Province are divided into two categories. According to the certainty of the index and the difficulty of measurement, 18 related statistical indicators, such as the total amount of GDP and the proportion of non-agricultural population, are selected. Each statistical index of the two kinds of influencing factors was analyzed by principal component analysis. After the stability test and correlation analysis of the four principal components, the standardized regression equations of urban-rural income ratio and four principal components were obtained by using multiple linear regression model. Finally, the relationship between urban-rural income ratio and statistical indicators in Guangdong province is obtained. The results of empirical analysis show that the added value of the secondary industry accounts for the proportion of GDP, the added value of the tertiary industry accounts for the proportion of GDP, and the registered unemployment rate of cities and towns. The comparison of urban and rural fixed assets investment and the proportion of fiscal expenditure to total fiscal expenditure play an important role in narrowing the income gap between urban and rural areas, while the remaining 13 statistical indicators have the effect of widening the income gap between urban and rural areas. At the end of the article, by drawing lessons from the experience of countries and regions to narrow the income gap between urban and rural areas, and combined with the previous analysis, this paper puts forward some countermeasures and suggestions to narrow the income gap between urban and rural areas in Guangdong Province.
【學位授予單位】:廣東商學院
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F124.7
本文編號:2475238
[Abstract]:After more than 30 years of rapid economic development after more than 30 years of reform and opening up, the level of economic development and the income of residents have been greatly improved, but the income and consumption gap between urban and rural areas in Guangdong Province reflects a typical trend of inequality. The Gini coefficient between urban and rural areas is increasing year by year. In this paper, the urban-rural income ratio is selected as the index to measure the urban-rural income gap, and the present situation and trend of the urban-rural income gap in Guangdong Province are compared and analyzed, and it is concluded that the urban-rural income gap in Guangdong Province is obviously high. Then the factors that affect the income gap between urban and rural areas in Guangdong Province are divided into two categories. According to the certainty of the index and the difficulty of measurement, 18 related statistical indicators, such as the total amount of GDP and the proportion of non-agricultural population, are selected. Each statistical index of the two kinds of influencing factors was analyzed by principal component analysis. After the stability test and correlation analysis of the four principal components, the standardized regression equations of urban-rural income ratio and four principal components were obtained by using multiple linear regression model. Finally, the relationship between urban-rural income ratio and statistical indicators in Guangdong province is obtained. The results of empirical analysis show that the added value of the secondary industry accounts for the proportion of GDP, the added value of the tertiary industry accounts for the proportion of GDP, and the registered unemployment rate of cities and towns. The comparison of urban and rural fixed assets investment and the proportion of fiscal expenditure to total fiscal expenditure play an important role in narrowing the income gap between urban and rural areas, while the remaining 13 statistical indicators have the effect of widening the income gap between urban and rural areas. At the end of the article, by drawing lessons from the experience of countries and regions to narrow the income gap between urban and rural areas, and combined with the previous analysis, this paper puts forward some countermeasures and suggestions to narrow the income gap between urban and rural areas in Guangdong Province.
【學位授予單位】:廣東商學院
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F124.7
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本文編號:2475238
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