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Performance evaluation and enrollment quota allocation for higher education institutions in China
Institution:1. School of Management, University of Science and Technology of China, Hefei, 230026, China;2. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China;3. Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China;1. Texas A&M University, College of Education and Human Development, Department of Health and Kinesiology, MS 4243, College Station, TX 77843-4243, United States;2. Baylor University, College of Health and Human Sciences, Department of Health, Human Performance, and Recreation, One Bear Place #97343, Waco, TX 76798, United States;3. Baylor University, Division of Student Life, One Bear Place #97016, Waco, TX 76798, United States;1. School of Politics and Public Administration, Guangdong University of Foreign Studies, No. 2, Guangzhou Baiyun Avenue North, China;2. School of Social and Political Science, The University of Edinburgh, Old College South Bridge, Edinburgh, Post Code: EH8 9YL, United Kingdom;1. Texas A&M University, College of Education and Human Development, Department of Health and Kinesiology, MS 4243, College Station, TX 77843-4243, USA;2. Texas A&M University, Health Science Center, School of Public Health, MS 1266, College Station, TX 77843-1266, USA;1. Department of Agricultural Education and Communication at the University of Florida, 213 Rolfs Hall, PO Box 110540, 32611, Gainesville, FL, United States;2. University of Florida. 218 Rolfs Hall, PO Box 110540, 32611 Gainesville, FL, United States;3. University of Florida. 3028B McCarty Hall D, University of Florida, Gainesville, FL 32611, United States;4. University of Florida. 113C Bryant Hall, PO Box 112060, Gainesville, FL 32611, United States
Abstract:Higher education has always played an important role in promoting economic and social progress. With the rapid development of economy, China's higher education has entered a new stage and made a series of extraordinary achievements. However, the uneven development of higher education has become a critical factor restricting China’s overall progress. In this paper, we propose Data Envelopment Analysis (DEA) approach to evaluate the performance of higher education resource utilization from the perspective of provincial level. In addition, we assess productivity changes of each province with the help of Malmquist Productivity Index (MPI). Further, by considering the enrollment quota as a special kind of resource, we construct a more reasonable allocation scheme, while keeping the total number of newly added enrollment quota unchanged in the next year. Finally, according to the results, some suggestions are put forward to help the Chinese government better solve the unbalanced development of higher education among provinces.
Keywords:Higher education  Data envelopment analysis  Malmquist productivity index  Efficiency  Enrollment quota  Resource allocation
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