The key to supporting impoverished students is to customize reasonable funds for each family in accordance with the family's economic status, the China Education Daily reported.
Currently non-targeted poverty alleviation is not effective. There are many problems when it comes to disbursing funds, including how to objectively collect information about a family's economic status, how to weigh a poor family in numbers and how to share statistics with other departments.
The article noted two successful examples. Guangdong Province collects data from civil affairs departments, institutions working for poverty alleviation, the disabled persons' federation and other official departments, and the information is shared online in a bid to standardize the criteria to identify needy families. An evaluation system that is applied to deciding what degree of poverty a family is at should be created. Similarly, evaluation outcomes are uploaded online to improve the efficiency and accuracy of future identification of poor families.
Shaanxi Province has also developed a management information system for targeted poverty alleviation. The system mainly combines population information from a big data platform for poverty alleviation, student status management data from the Ministry of Education and statistics from the China National Center for Student Financial Aid. The integrated information is used to record impoverished students' personal details, and it then can be shared to different schools, which in part makes sure needy students can get financial aid in time.
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