Empirical analysis on income inequality of Chinese residents
Annotation
| Main Author: | Zhou, Yunbo. |
|---|---|
| Other Authors: | Qin, Yan., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English Chinese |
| Published: |
Berlin ; New York :
Springer,
©2012.
Berlin ; New York : [2012] |
| Physical Description: |
1 online resource. |
| Series: |
Gu Shutang academic fund of economics.
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| Subjects: |
| Summary: |
Annotation |
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| Item Description: |
Introduction -- Concept of Income Distribution and Indexes and Methods for Measuring Income Inequality -- Income Inequality of China's Urban Residents and the Factors Which Impact It -- Income Inequality of Chinese Rural Resident and the Factors Which Impact It -- Income Inequality of China's Total Resident and the Factors Which Impact It -- Impact of Rent-Seeking on Income Inequality -- Forecast for Chinese Residents' Income Inequality in the Future -- Conclusions and Policy Suggestions. Includes bibliographical references. Annotation The subject of this book is discussing the income inequality of Chinese residents, its change and the factors that impact it. In this book all kinds of quantitative methods, including decomposing Gini Coefficients method, Fei-Ranis method, two-sectors model and other econometric models. Some special features are that in this book, a two-sectors model was set up to analyze the impact of population migration from urban areas to rural areas on income inequality of total residents, and the inverted U hypothesis was tested by time-series regression model. The inverted U hypothesis is supported by the change of income inequality of Chinese total residents which is different from the conclusion of present reaches. In additional, the impact of rent-seeking income on inequality was discussed, an economic mode was founded to explain the causes of rent-seeking activities in Chinas present stage. English. |
| Physical Description: |
1 online resource. |
| Bibliography: |
Includes bibliographical references. |
| ISBN: |
9783642249525 3642249523 |
| ISSN: |
2195-0059. |