IDEAS home Printed from https://ideas.repec.org/a/rfa/aefjnl/v3y2016i3p37-44.html
   My bibliography  Save this article

Study of Comprehensive Evaluation of Poverty Reduction Effect for Chinese Poverty-Stricken Areas-Based on the Data of Chinese 14 Contiguous Poor Areas

Author

Listed:
  • Danmeng Feng
  • Weiwei Chen
  • Xiaoyuan Chu

Abstract

China has achieved significant achievements on poverty reduction effect since 1978, two hundred fifty million people have get rid of poverty. While with the relative poverty has become increasingly prominent, there are more dimensions which influence the poverty reduction effect. In order to make a comprehensive evaluation on poverty reduction effect for Chinese poverty-stricken areas, this paper presents a dynamic evaluation model based on the gray correlation method to measuring multidimensional poverty reduction effect by selecting the data of Chinese 14 contiguous poor areas. According to analyzing from three evaluation situations of current development, growth and comprehensive evaluation, the result shows that Desertification Area of Yunnan, Guangxi and Guizhou all have high rankings in comprehensive evaluation, current development evaluation and growth evaluation. While Qinba Mountain Area, Wuling Mountain Area and Dabie Mountain Area are ranked higher in current development evaluation than in growth evaluation, which indicates that these areas will have more difficulties in poverty reduction in the future. On the contrary, Tibet Area, Tree Districts in South Xinjiang and Daxing'anling Mountain Area are ranked lower in current development than in growth evaluation, which reflects that there are much more potential in poverty reduction in these areas.

Suggested Citation

  • Danmeng Feng & Weiwei Chen & Xiaoyuan Chu, 2016. "Study of Comprehensive Evaluation of Poverty Reduction Effect for Chinese Poverty-Stricken Areas-Based on the Data of Chinese 14 Contiguous Poor Areas," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 37-44, August.
  • Handle: RePEc:rfa:aefjnl:v:3:y:2016:i:3:p:37-44
    as

    Download full text from publisher

    File URL: http://redfame.com/journal/index.php/aef/article/view/1480/1478
    Download Restriction: no

    File URL: http://redfame.com/journal/index.php/aef/article/view/1480
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mario Biggeri & Luca Bortolotti & Vincenzo Mauro, 2021. "The Analysis of Well‐Being Using the Income‐Adjusted Multidimensional Synthesis of Indicators: The Case of China☆," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 684-704, September.
    2. Abdul Samad Abdul-Rahim & Chenglong Sun & A. W. Noraida, 2018. "The Impact of Soil and Water Conservation on Agricultural Economic Growth and Rural Poverty Reduction in China," Sustainability, MDPI, vol. 10(12), pages 1-12, November.
    3. Yanhui Wang & Wenping Qi, 2021. "Multidimensional spatiotemporal evolution detection on China’s rural poverty alleviation," Journal of Geographical Systems, Springer, vol. 23(1), pages 63-96, January.
    4. Heyuan You & Deshao Zhou & Shenyan Wu & Xiaowei Hu & Chenmeng Bie, 2020. "Social Deprivation and Rural Public Health in China: Exploring the Relationship Using Spatial Regression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 843-864, February.

    More about this item

    Keywords

    Poverty Reduction; Comprehensive Evaluation; Multidimensional Poverty;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rfa:aefjnl:v:3:y:2016:i:3:p:37-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.