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Intelligent and Targeted Poverty Alleviation in Ethnic Areas: Taking Gansu as an Example

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DOI: 10.38007/Proceedings.0001040


Wenjuan Pan, Haiying Ma

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Haiying Ma


The minority areas are the areas where poverty is concentrated in China. Among the factors that cause poverty, the information asymmetry and the lag of information channels are the main reasons for poverty in the minority areas. In the context of the construction of smart cities in China, it is of great practical significance to integrate various resources, information platform, big data and other technical means in smart cities to help ethnic areas achieve smart and targeted poverty alleviation. Taking the targeted poverty alleviation (hereinafter known as TPA) work implemented in Gansu as an example, this paper analyses the framework of the intelligent TPA in Gansu province, puts forward the driving factors of the construction of smart cities for the TPA in the western ethnic areas, and analyses the quality control of smart city + TPA under the guidance of PDCA circle theory, based on the TPA six precise contents and four poverty alleviation modules put forward five poverty alleviation effects. Finally, the paper summarizes the effective TPA strategies such as the construction of big data platform in ethnic areas.


Smart City; Ethnic Areas; Smart Targeted Poverty Alleviation; Gansu Province