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Guest Lecture: Spatial Recruiting Competition in Chinese Higher Education System

Title:  Spatial Recruiting Competition in Chinese Higher Education System
 
Time: 1:00-2:40pm, March22
 
Location: GD452
 
Speaker: Dr. Gu Jiafeng, Peking University
 
Brief Summary:
 
      In this lecture, Dr. Gu investigates the following 4 questions about spatial recruiting competition in China’s higher education system: (1) Is the admission score-setting behavior of one university influenced by its neighboring competitors? (2) Are certain kinds of universities facing neighboring competitors more likely to pursue special competitive strategies in enrollment competition, and what are those strategies?  (3) How does neighborhood size affect the recruiting competitive behavior of universities? (4) Does the difference between admission scores increase as the distance between competitive universities increase?
      Using the statistical data of Subordinate Universities of Ministry of Education (SUMEs) , he identifies 4 types of competition strategies: attack strategy(17 universities including Peking University, Tsinghua University); defense strategy (30 universities including Hefei university of Technology, Hunan University); leadership strategy(12 universities including Nanjing University and Xiamen University); and followership strategy (10 universities including North China Electric Power University and Wuhan University of Technology). With more rigid spatial regression analysis that takes into account the strategic behavior responses, the major findings of his research  are: (1) strategic interactions play a prominent role in understanding the recruiting behavior of universities; (2) there is the Nash Equilibrium in recruiting competition of universities with neighboring effect; (3) the intenseness of strategic interactions among universities depends on the number of neighboring competitors; (4) spatial econometrics provides an ideal toolkit for empirical analysis of strategic interaction.
 
The lecture file: PPT (downloadable)


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