TY - JOUR
T1 - The allocation of PhD enrolment quotas in China’s research-oriented universities based on equity and efficiency principles
AU - Zhu, Tian Tian
AU - Zhang, Yue Jun
AU - Wang, Ke
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - PhD enrolment quota allocation proves the key concern for China’s universities to promote institutional reform and improve research level, and it is often characterized by the zero sum game among schools within a university. Therefore, this article develops a new indicator system for PhD enrolment quota allocation and efficiency evaluation in China, and then it reallocates the quotas considering the preferences of decision-makers and the efficiency based on the historical data during 2011–2015 in a research-oriented university in China. The results indicate that, first, the preferences of decision-makers in the university for article publications and research funds may significantly affect the allocation of PhD enrolment quotas among schools. Second, when the linear combination weighting method is used, the overall efficiency for PhD enrolment allocation proves the highest, among various weighting methods concerned. Finally, to improve the overall efficiency of the 19 schools, five social science schools and four engineering schools have to cut their PhD enrolment quotas; among them, three engineering schools should reduce the largest redundant quotas sharply. The methods and results in this article are conducive to the allocation of education resources which have the zero sum feature and are often accompanied with undesirable outputs.
AB - PhD enrolment quota allocation proves the key concern for China’s universities to promote institutional reform and improve research level, and it is often characterized by the zero sum game among schools within a university. Therefore, this article develops a new indicator system for PhD enrolment quota allocation and efficiency evaluation in China, and then it reallocates the quotas considering the preferences of decision-makers and the efficiency based on the historical data during 2011–2015 in a research-oriented university in China. The results indicate that, first, the preferences of decision-makers in the university for article publications and research funds may significantly affect the allocation of PhD enrolment quotas among schools. Second, when the linear combination weighting method is used, the overall efficiency for PhD enrolment allocation proves the highest, among various weighting methods concerned. Finally, to improve the overall efficiency of the 19 schools, five social science schools and four engineering schools have to cut their PhD enrolment quotas; among them, three engineering schools should reduce the largest redundant quotas sharply. The methods and results in this article are conducive to the allocation of education resources which have the zero sum feature and are often accompanied with undesirable outputs.
KW - PhD enrolment quota
KW - Research-oriented university
KW - education resource allocation
KW - zero sum gains data envelopment analysis (ZSG-DEA)
UR - http://www.scopus.com/inward/record.url?scp=85042116200&partnerID=8YFLogxK
U2 - 10.1080/00036846.2018.1438585
DO - 10.1080/00036846.2018.1438585
M3 - Article
AN - SCOPUS:85042116200
SN - 0003-6846
VL - 50
SP - 3992
EP - 4004
JO - Applied Economics
JF - Applied Economics
IS - 37
ER -