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In order to improve the rationality and efficiency of post-based merit salary setting for teaching and research staff in colleges and universities, this paper analyses and discusses the influencing factors and determining principles of post-based merit salary for teaching and research staff in colleges and universities based on the consumer price index (CPI) and the characteristics of colleges and universities. A dynamic and optimal post-based merit salary generation model and its determination method are put forward. The model comprehensively takes changes in price levels into account and the key factors such as the teacher’s professional technical level, length of service, and performance appraisal results and can dynamically and intelligently calculate the post-based merit salary of teachers. The test results of the examples prove that the post-based merit salary calculated by the model is objective and reasonable, and it is easy to dynamically adjust according to the changes in social environment and the characteristics of colleges and universities. It can provide a scientific method and useful reference for determining post-based merit salary in colleges and universities.

Optimization of Post-Based Merit Salary Based on CPI and University Characteristic Data