Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 60 , 05 January 2024
Open
Access | Article
Effective Redistribution of Donated Resources – Application of Top Trading Cycles Algorithm
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Abstract
Governments and people of many countries have paid more attention to the action of subsidizing people in distressed areas in all aspects. However, many donated resources cannot be accurately allocated to the poor who need them most, which will lead to waste of resources and inefficiency of poverty alleviation. This paper considers the perspective of poverty alleviation through education, and focuses on the problem of imprecise assignment of donated books. This problem is an important issue that needs to be solved immediately, as education for students in less developed areas is a very essential part of helping them get rid of poverty. Reading appropriate books can help improve their cognitive ability and make students develop in a better direction, inspire them to take the initiative to develop in a better direction. This paper applies the Top Trading Cycles algorithm proposed by Shapley and Scarf in 1974 to solve this problem, which can enable students to rematch the donated books they think are useless and exchange them for more suitable books.
Keywords
poverty alleviation through education, books allocation, Top Trading Cycles
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-211-4
- ISBN (Online)
- 978-1-83558-212-1
- Published Date
- 05 January 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/60/20231144
- Copyright
- 05 January 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited