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Published in: Quality & Quantity 2/2018

17-02-2018

Performance evaluation of special education in China based on Data Envelopment Analysis

Authors: Chich-Jen Shieh, Jyh-Rong Chou, Zehra Nur Ersozlu

Published in: Quality & Quantity | Special Issue 2/2018

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Abstract

The existence of special schools aims to provide education opportunities and environment for physically and mentally disabled people. The provision of more exquisite and diversified services for parents, at ease, placing the children in the schools becomes an essential issue for current special schools. The special needs of students are more complicated that special schools have to overall study the service being more exquisite and diversified to correspond to the needs of students and parents. For this reason, the management of special schools takes the priority when discussing the function of special education institutions. Data Envelopment Analysis is applied to evaluate efficiency in this study. Shanghai, being the municipal city and the national central city of People’s Republic of China, presents the education quality at the head nationally. Special schools in Shanghai are therefore selected as the evaluated units in this study. The research results show strong efficiency of 1 DMU, revealing the good efficiency of special education execution, 4 DMUs with the efficiency between 0.9 and 1, revealing the efficiency being easily promoted, and 5 DMUs with the efficiency below 0.9, presenting obvious inefficiency. Moreover, the efficiency analysis with Malmquist shows the improvement of efficiency changes between two periods of special schools. Finally, suggestions are proposed according to the conclusion, expecting to assist in the development of special education in China.

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Metadata
Title
Performance evaluation of special education in China based on Data Envelopment Analysis
Authors
Chich-Jen Shieh
Jyh-Rong Chou
Zehra Nur Ersozlu
Publication date
17-02-2018
Publisher
Springer Netherlands
Published in
Quality & Quantity / Issue Special Issue 2/2018
Print ISSN: 0033-5177
Electronic ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-018-0706-9

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