Volume 4, Issue 3, May 2018, Page: 71-80
Typical Poverty Alleviation Models in Southern China and the Enlightenment to Jiangxi Province
Zheng Wang, Department of Humanity, Jiangxi University of Finance and Economics, Nanchang, China
Zhiyan Zou, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
Lei Guo, Department of Public Administration, Nanjing Agricultural University, Nanjing, China
Received: Jun. 15, 2018;       Accepted: Jul. 16, 2018;       Published: Aug. 14, 2018
DOI: 10.11648/j.ijaas.20180403.13      View  482      Downloads  43
With China’s poverty alleviation work at a crucial stage, poverty alleviation is mainly focused on the 14 concentrated destitute areas. In the Southern areas of China, there are numerous populations of poverty, wide range of poverty and the vast scale of poverty, which is a large proportion in the concentrated destitute areas. Among the Southern provinces of China, there are similarities of natural conditions, compatibility in cultural backgrounds and the complementation in economic structures. Therefore, there is the foundation of mutual learning or mutual cooperation in poverty alleviation work in China. This paper analyses the typical mode and experience of the crucial poverty-alleviation from Fujian, Guangdong, Guangxi and Guizhou provinces. Furthermore, based on reality situations, this paper puts forward the enlightenment of poverty alleviation to Jiangxi province. That is the poverty relief focus on spiritual power, the necessity of financial poverty relief facilitating industrial poverty relief, sufficient utilization of countryside tourism resources, targeted poverty relief among provinces or regions and emphasis on the role of big data in poverty alleviation, etc.
Precision Poverty Alleviation, The Southern Provinces of China, Typical Models
To cite this article
Zheng Wang, Zhiyan Zou, Lei Guo, Typical Poverty Alleviation Models in Southern China and the Enlightenment to Jiangxi Province, International Journal of Applied Agricultural Sciences. Vol. 4, No. 3, 2018, pp. 71-80. doi: 10.11648/j.ijaas.20180403.13
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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