Open Journal of Statistics

Volume 3, Issue 3 (June 2013)

ISSN Print: 2161-718X   ISSN Online: 2161-7198

Google-based Impact Factor: 0.53  Citations  

Estimating Gini Coefficient Based on Hurun Report and Poverty Line

HTML  Download Download as PDF (Size: 208KB)  PP. 167-172  
DOI: 10.4236/ojs.2013.33018    6,414 Downloads   10,696 Views  Citations

ABSTRACT

Based on the review of various methods of estimating Gini coefficient, the paper applies a quintile rule to estimate Gini coefficient of rural areas, urban areas and the whole country using the grouped income data of urban and rural residents. Besides, the paper uses the curve-fitting method to roughly estimate Gini coefficient from eye-catching Hurun Rich List and the latest poverty line. The result shows that the estimation of Gini coefficient using quintile rule is small for both urban and rural area, while the value of the whole country is obviously larger, which is above the warning line of 0.4. It is indicated that the wealth gap mainly comes from the gap between urban and rural areas. On the other hand, the estimation of Gini coefficient using curve-fitting method is as large as more than 0.7, which implies that the wealth gap is highlighted from the analysis of the lowest and highest part of the wealth distribution. All in all, China’s current gap between the poor and the rich is serious. The reform of the income distribution needs to speed up to ensure social harmony and stability.

Share and Cite:

Z. Fang, J. Zhu and R. Deng, "Estimating Gini Coefficient Based on Hurun Report and Poverty Line," Open Journal of Statistics, Vol. 3 No. 3, 2013, pp. 167-172. doi: 10.4236/ojs.2013.33018.

Cited by

[1] Income and Subjective Well-being: Test of a Multilevel Moderated Mediation Model
Applied Research in …, 2022
[2] 基于混沌激光测距系统计算模型的深度图重建
ACTA PHOTONICA SINICA, 2022
[3] A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India
2021
[4] Appraisal of WaSH (Water-Sanitation-Hygiene) infrastructure using a composite index, spatial algorithms and sociodemographic correlates in rural India
Journal of Environmental Informatics, 2020
[5] Does air pollution aggravate income inequality in China? An empirical analysis based on the view of health
2020
[6] Capital et idéologie en Chine: retour sur les estimations et conclusions de Thomas Piketty
Revue d'économie politique, 2020
[7] Water for All (Har Ghar Jal): Rural Water Supply Services (RWSS) in India (2013–2018), Challenges and Opportunities
2020
[8] Appraisal of WaSH (Water-Sanitation-Hygiene) Infrastructure using a Composite Index, Spatial Algorithms and Sociodemographic Correlates in Rural India.
2020
[9] Gleer: A Novel Gini-Based Energy Balancing Scheme for Mobile Botnet Retopology
Wireless Communications and Mobile Computing, 2018
[10] 서울지역 소득불평등과 박탈이 자원봉사참여에 미치는 영향에 관한 다층분석
Seoul Studies, 2017
[11] Rural-urban spatial inequality in water and sanitation facilities in India: A cross-sectional study from household to national level
Applied Geography, 2017
[12] Analysis of Income Distribution among Goat Farmer Households in Banjarnegara District, Central Java Province Indonesia
2015
[13] CHIM e
2015
[14] 국고보조금이 지방정부 형평성과 정책선호에 미치는 영향에 관한 연구
2015
[15] Analysis of income distribution among goat farmer households in Banjarnegara District, Central Java Province Indonesia.
2015
[16] 국고보조금이 지방정부 형평성과 정책선호에 미치는 영향에 관한 연구: 지방자치단체의 고등교육 재정지원사업을 중심으로
2015
[17] An Investigation of the Key Market Growth Factors for Golf Development in China as a Recreation and Luxury Product
2014
[18] Inequalities in per capita CO2 emissions in European Union, 1990–2020
European Energy Market (EEM), 2014 11th International Conference on the. IEEE, 2014
[19] The Impact of Declining Central Government Transfers and Subsidies on the Household Sector: Implications for Financial Stability
2011

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.