Chinese Gini Coefficient from 2005 to 2012, Based on 20 Grouped Income Data Sets of Urban and Rural Residents. (2nd March 2015)
- Record Type:
- Journal Article
- Title:
- Chinese Gini Coefficient from 2005 to 2012, Based on 20 Grouped Income Data Sets of Urban and Rural Residents. (2nd March 2015)
- Main Title:
- Chinese Gini Coefficient from 2005 to 2012, Based on 20 Grouped Income Data Sets of Urban and Rural Residents
- Authors:
- Chen, Jiandong
Fang, Fuqian
Hou, Wenxuan
Li, Fengying
Pu, Ming
Song, Malin - Other Names:
- Yuan Jinyun Academic Editor.
- Abstract:
- Abstract : Data insufficiency has become the primary factor affecting research on income disparity in China. To resolve this issue, this paper explores Chinese income distribution and income inequality using distribution functions. First, it examines 20 sets of grouped data on family income between 2005 and 2012 by the China Yearbook of Household Surveys, 2013, and compares the fitting effects of eight distribution functions. The results show that the generalized beta distribution of the second kind has a high fitting to the income distribution of urban and rural residents in China. Next, these results are used to calculate the Chinese Gini ratio, which is then compared with the findings of relevant studies. Finally, this paper discusses the influence of urbanization on income inequality in China and suggests that accelerating urbanization can play an important role in narrowing the income gap of Chinese residents.
- Is Part Of:
- Journal of applied mathematics. Volume 2015(2015)
- Journal:
- Journal of applied mathematics
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-03-02
- Subjects:
- Mathematics -- Periodicals
519.05 - Journal URLs:
- https://www.hindawi.com/journals/jam/ ↗
- DOI:
- 10.1155/2015/939020 ↗
- Languages:
- English
- ISSNs:
- 1110-757X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10768.xml