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

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 determinationmethod are put forward. 'e 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. 'e 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.


Introduction
In order to achieve good pay for good work [1] and to encourage the enthusiasm of the faculty of colleges and universities [2], according to the national salary and income distribution system, all colleges and universities in our country have established a merit salary distribution system that suits their own characteristics [3]. e current merit salary system implemented by colleges and universities divides the salary into four parts: post salary, pay grade salary, merit salary, and allowance [4], while merit salary can be divided into postbased merit salary and rewarding merit salary, and so on. Postbased merit salary is an important component of merit salary.
is part mainly reflects post responsibilities and workload matched with the professional technical level of teachers, which not only have an important impact on the income of faculty, but also are a clear response to fairness [5], incentives, and social adaptability [6]. is article researches the optimization methods of post-based merit salary. e faculty of colleges and universities is divided into four groups: teaching and research staff [7], other specialized technical staff, management staff, and technical workers. Teaching and research staff are the largest group and also contribute the most to the development of colleges and universities. erefore, this article focuses on researching the post-based merit salary of teaching and research staff (hereinafter, referred to as "teachers") in colleges and universities and establishes their job performance optimization methods and dynamic adjustment mechanisms based on social development and the university's own characteristic data.
ere are several kinds of institutions of higher learning in China, such as teaching and research-oriented universities [8], application-oriented universities, and higher vocational colleges. e construction of teaching and research-oriented universities is the focus of China's higher education construction, and the author has long been engaged in salary management and research in teaching and research-oriented university. For the above-mentioned reasons, this article mainly discussed the post-based merit salary of teachers in teaching and research-oriented universities. Unless otherwise specified, "university" means teaching and researchoriented university in this article. e main contributions of this article are summarized as follows: (1) is article studies and proposes a model for dynamic optimization that generates the post-based merit salary of university teachers. is model analyses and discusses the influencing factors and determining principles of post-based merit salary for teachers in universities based on CPI and the characteristics of universities and 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. (2) In this article, CPI is introduced as a parameter for the generation model of post-based merit salary. A linkage mechanism for post-based merit salary to rise with the price level is established, which makes post-based merit salary change dynamically with the price level, in order to ensure the income level of the university teachers, guarantee the basic living needs of faculty of college and university, and maintain the salary competitiveness of university. (3) In this article, the effectiveness of the generation model of post-based merit salary proposed is tested with the actual information of 8 teachers, and the results are compared with salary data obtained by traditional methods. e test results prove that the dynamic and optimized generation model of postbased merit salary developed in this article is scientifically valid. is model can calculate reasonable post-based merit salary, which provides a useful reference for salary managers of universities.

Analysis on the Status and Problems of Post-Based Merit Salary of University Teachers by Data
e post-based merit salary of university teachers is a kind of compensation based on the post setting result of the university, which mainly reflects the post responsibilities and basic workload of the teachers. Taking a university in Shanghai as an example, the university adjusted the standard of post-based merit salary once in 2013, 2017, and 2020, respectively. e data of the three adjustments are shown in Table 1. Another example is the post-based merit salary data of a university in Nanjing, as shown in Table 2.
Analysing the current situation of the setting of postbased merit salary of teachers in different universities, it is found that there are several problems as follows: (1) Post-based merit salary cannot be adjusted dynamically with the price level. e average increment speed of post-based merit salary should match with the increment speed of social production efficiency and price increases; that is, salary increment speed needs to be adjusted with the increment speed of per capita GDP and the increment speed of CPI. However, the changes in price levels have not been considered in the current setting of post-based merit salary of many colleges and universities. (2) Post-based merit salary structure is relatively simple. China's public institutions (university is a kind of public institutions in China) began implementing the employee salary system in 1993, implementing the post allowance system in 1999, and established the merit salary system in 2006 [9]. Although many colleges and universities have completed the setting of post-based merit salary, they still use the same way as the original post allowance system. ey fail to follow the principle of "focus on efficiency with due consideration given to equity," "more pay for more work," and "good pay for good work" [10] in the setting of post-based merit salary. (3) e setting of difference between post-based merit salary levels lacks an objective basis, so it is not persuasive. e current difference between the postbased merit salary levels of university teachers is mostly based on the original job allowance salary grade differential multiplied by the corresponding  2 Scientific Programming coefficient, which lacks an objective basis and scientific calculation method. (4) e determination method of post-based merit salary is not smart enough. e current determination method of post-based merit salary is mainly through the static table, and this method lacks the ability to change intelligently and dynamically, which makes it difficult for post-based merit salary to keep pace with the times. It also forces universities to manually adjust post-based merit salary rates every few years to keep up with the development of the times, thereby increasing the difficulty of the work.

The Determining Principle and Function
Design of Post-Based Merit Salary of University Teachers

e Influencing Factors and Determining Principles of
Post-Based Merit Salary of University Teachers. e salary distribution system for university teachers must not only comply with national policies and relevant regulations but also be affected by the social environment and the specific conditions of the university. Among the four parts of university teachers' salary, the three parts, namely, post salary, pay grade salary, and allowance, must be implemented in strict accordance with national regulations. Only the merit salary part is flexibly determined by the university according to its own situation and social influence. erefore, in order to promote its own development and progress, every university should make scientific decisions in order to optimize its merit salary distribution plan. e influencing factors and determining principles of university teachers' post-based merit salary are as follows: (1) Focus on motivation effect and guarantee internal fairness. e main distribution principles of post-based merit salary are as follows: "focus on efficiency with due consideration given to equity," "highlight the role of performance," and "good pay for good work." According to these principles, colleges and universities should appropriately widen the income difference between teachers of different positions and levels in order to enhance the incentive of compensation and at the same time should focus on improving internal fairness. erefore, according to the different job levels of teachers, the salary increase range should be allocated reasonably to balance efficiency and fairness.
(2) Adjust dynamically according to social development and price changes. e salary increase mechanism of university teachers must be synchronized with the economic development of the country and the region. Price level increase is an accompanying phenomenon of social and economic development, and the consumer price index (CPI) [11] is constantly changing. erefore, it is necessary to establish a linkage mechanism in which merit salary increases with the price level increase to ensure the fundamental living demands of university teachers and help them share social development achievement.
(3) Reasonably determine the post-based merit salary of teachers according to the situation of the university. When specifically determining the post-based merit salary, each university should make reasonable arrangements according to its own situation, and the following four key factors need to be considered. Firstly, reasonable income differential: colleges and universities should set up a reasonable income differential between teachers of different post levels. As mentioned above, in the process of determining post-based merit salary, both incentive and balance should be carefully studied and considered, reasonable differences of post-based merit salary should be formed, and efficiency and equity [12] should be balanced as much as possible. Secondly, being able to link up with job performance assessment and evaluation system [13]: when determining the post-based merit salary, we should fully consider the post and performance appraisal results so that the salary can better reflect the work performance of teachers, better play the role of salary leverage, and reflect the distribution principle of "more pay for more work," "reward the good and fine the bad," and "reward the diligent and punish the lazy." irdly, reasonable growth and flexible and dynamic adjustment: in order to fully stimulate the enthusiasm of teachers, the post-based merit salary of university teachers should have a reasonable growth year by year and can be flexibly and dynamically adjusted according to the specific situation of the university. Fourthly, the limitation of the total amount of school merit salary: the verification of total post-based merit salary should be related to the overall development level of colleges and universities, and a linkage mechanism should be established to link the total post-based merit salary with the development of colleges and universities and the financial level. e amount of post-based merit salary for teachers (teaching and scientific research staff) is allocated within the total post-based merit salary of the school, and the post-based merit salary for each teacher is reasonably determined within this amount. better the performance appraisal result is, the higher the post-based merit salary is. Post-based merit salary can reflect the job content and workload. e better the performance appraisal result is, the higher the salary amount is, motivating employees to work hard and improve work efficiency. (4) Post-based merit salary should change dynamically with the price level. At present, with the rapid development of society and the continuous improvement of the price level, the adjustment of post-based merit salary is obviously delayed. In order to make up for this deficiency, job performance pay should change dynamically and intelligently with the price level so as to maintain the salary competitiveness of university and attract [14] and retain talents.

Research on the Method of Determining the Post-Based
Merit Salary of University Teachers. According to the above analysis, we design the post-based merit salary of university teachers according to the dynamic, controllable, and hierarchical principles.
(1) Determining the grade differential of post-based merit salary hierarchically. Reasonable salary grade differential design is the key to determine post-based merit salary. To distinguish the difference of post-based merit salary among scientific research personnel with different post levels and service years, we should consider not only fairness but also efficiency and not only incentive effect but also maintaining stability.
According to the work complexity of different post levels and considering the contribution rate of each post to the development of colleges and universities, the difference of post-based merit salary between different post grades should be reasonably drawn. e design adopts three layers: senior titles, vice-senior titles, intermediate and lower titles, and salary grade differentials are set in each level. e specific treatment uses the mathematical model of the salary grade differential in sections and adjusts the gradient flexibly of salary grade differential by adjusting the parameters. In addition, in order to reflect the factors of "fairness" and "stability" of the sign of employment years, a coefficient related to the employment years should be set when determining the salary grade differential so that the post-based merit salary increases with the service period reasonably. (2) Dynamic adjustment of post-based merit salary with the price level.
With the continuous change of national and local price levels, the income of staff should be adjusted accordingly. Although the state advocates the coordination between the salary of staff in public institutions and the development of the national economy, many institutions have not yet done so. On the one hand, Japan's practice can be used for reference: the Japanese personnel academy investigates the wage level, national standard living expenses, and living price index of employees in private enterprises every year and writes the civil service wage adjustment plan after analysis. e cabinet formulates the wage adjustment bill accordingly and reports it to the parliament for deliberation and implementation.

Scientific Programming
In order to ensure the income level of the staff in public institutions and maintain the competitiveness of colleges and universities to attract talents, CPI is introduced as a parameter to determine the postbased merit salary of teachers. For specific operations, we can check the CPI index of local urban residents in the previous year published by the national bureau of statistics. If it is accurate to month, we can check the CPI index of local urban residents in the previous month published by the national bureau of statistics to adjust the results of the salary model. (3) Determine the total post-based merit salary according to the specific situation of the university and dynamically control it. e setting of post-based merit salary is important to the performance and development needs of specific universities teaching and scientific research and should be able to make reasonable adjustment according to the post performance. e total amount of post-based merit salary in colleges and universities should be designed as controllable parameters, and colleges and universities can make regular (generally one year) adjustments according to their own specific conditions.

Dynamic Generation Model of Post-Based Merit Salary for
University Teachers

Basic Generation Model of Post-Based Merit Salary.
According to the determination method and work demand of post-based merit salary of university teachers, this article designs the generation model of post-based merit salary of university teachers, and its basic model is as follows: where S i is the annual post-based merit salary of teaching staff and its unit is Yuan; δ is the coefficient of salary grade differential and δ ≥ 1; F is post-based merit salary baseline defined as the value of S i last year when δ � 1 and ρ � 1. CPI is the consumer price index of local urban residents, ρ is the performance appraisal coefficient of the previous year, N is the total number of teachers, and T is the total amount of post-based merit salary with the unit of Yuan.

Discussion and Parameter Determination of Post-Based
Merit Salary Generation Model. We analyse and discuss the basic model (1) and study the method of determining each parameter as follows ( Figure 1).
(1) δ coefficient of salary grade differential is a key parameter in the post-based merit salary generation model, which reflects the impact of the two dimensions of professional technical level and length of service on post-based merit salary.
Among them, y is the professional technical level parameter and p is the length of service parameter. ese two parameters, respectively, reflect the influence of the professional technical level and length of service on δ, the coefficient of salary grade differential. We first discuss the method of determining y the professional technical level parameter. e coefficient of salary grade differential between professional technical levels can be increased in four ways. Firstly, proportional salary grade differential: that is to say, the wages of each professional technical level are increased step by step with the same salary grade differential percentage. It has two characteristics. One is the amount of wage increased by the same percentage, and the salary grade differential is gradually expanded with the absolute amount, but the gap is not very large, and the incentive effect is obvious. e other is that it is convenient for labor cost budgeting and enterprise salary plan formulation. Secondly, the progressive salary grade differential: progressive salary grade differential means that the wages of each grade increase step by step by a progressive percentage. e wage salary grade differential determined in a progressive way has obvious absolute disparity between levels and large income gap. Compared with the proportional salary grade differential, it has a stronger incentive effect on employees and is more suitable for some jobs that need to highlight individual abilities.
irdly, the regressive salary grade differential: that is, the wage levels are gradually increased in a regressive proportion.
e regressive salary grade differential is suitable for jobs that require high labor intensity, small technical differences, and regular upgrades to employees. Fourthly, the irregular salary grade differential: that is to say, the changes in the percentage of the salary grade differential and the absolute amount of the salary grade differential are determined in accordance with the "segmental type" between the wages of each grade. In accordance with 13 12 11 10 9 8 7 6 5 4 3 2 1 1 + 5c 1 1 + 5c 1 + 3c 2 + c 3 1 + 5c 1 + 3c 2  Figure 1: Curve of y, professional technical level parameter.
Scientific Programming the above-mentioned method of "determining the grade differential of post-based merit salary hierarchically," y, the teacher's professional technical level parameter, should be determined by this method. Irregular salary grade differential is more flexible than other salary grade differentials in determining methods and is more in line with the law of wage distribution. At the same time, considering that the promotion standards for senior titles are quite different from those of intermediate, junior, and staff titles, it is not advisable to choose a unified salary grade differential. erefore, the irregular gradation method is used to set the salary differential coefficient in the post-based merit salary generation model, and the coefficients of salary grade differential are set as three sectional salary grade differentials, which are staff to intermediate titles, vicesenior titles, and senior titles. From staff titles to junior titles to intermediate titles, a linear salary grade differential distribution is used, as shown in the following equation: where Post is the corresponding professional technical level, c 1 is the slope of the straight line, which reflects the growth rate of professional technical level parameter with the promotion of professional technical level, and d is the intercept of the straight line. Set the professional technical level parameter y of the new employee v of professional technical level 13 as 1, so there is −c 1 × 13 + d � 1, i.e., d � 1 + 13 × c 1 . en, equation (3) is obtained as When the professional and technical level rises to the vice-senior titles, the grade difference should increase correspondingly due to the improvement of talent level, and the slope of professional technical level parameter is increased to c 2 . Similarly, in the senior titles, the higher the professional technical level is, the more difficult it is to promote, and the talent level rises greatly, and the slope of professional technical level parameter is increased to c 3 . ere are three main reasons to consider when setting the three parameters c 1 , c 2 , and c 3 . Firstly, doctors and masters can get intermediate titles through the orientation of professional and technical level, which is less difficult, so the slopes of intermediate and junior titles are the same and the minimum. Vicesenior is more difficult to promote than intermediate, while senior is more difficult than vice-senior, and the return should be more abundant, so the slope gradually increases. Secondly, from the perspective of performance appraisal, the higher the level of professional and technical posts, the higher the performance appraisal requirements, and the salary level should also be improved accordingly, which is in line with the principle of more pay for more work and distribution according to one's performance. Finally, considering the number of new promotion places each year, the higher the professional and technical level, the fewer the promotion places, which is in line with the pyramid talent structure of colleges and universities, and the salary should be tilted to more senior technical personnel, which has a greater incentive effect on the staff of colleges and universities. So, we finally set c 3 > c 2 > c 1 . From this, we can get y the professional technical level parameters from staff title 13 to senior title 2 as follows: where c 3 > c 2 > c 1 . According to the reasons described in Section 3.2, the professional technical level 1 is not considered in the model. A schematic diagram of the professional technical level parameter curve is shown in Figure 1.
In addition to the professional technical level, length of service is also an important factor to be considered in the post-based merit salary generation model. e contribution and return of senior teachers are reflected by the job performance bonus brought by the length of service. e length of the service parameter is determined by the following formula: where Year is the length of service of the teacher (less than one year is calculated as one year); new employee Year � 1. η is a coefficient that can be set on demand and η × c 1 reflects the growth rate of grade difference coefficient with length of service. Generally, this speed should be far less than the growth rate of professional technical level parameter with professional technical level promotion, so η is usually far less than 1.
(2) F is post-based merit salary baseline. e post-based merit salary baseline F is constant, defined as the value of S i with δ � 1 and ρ � 1 in the previous year. erefore, F changes with CPI the year-on-year, as shown in the following equation: 6 Scientific Programming F the Nth year � F the (N−1)th year ×(1 + CPI).

(7)
When using this model, the value of F in the first year can be determined in the following ways. Firstly, it can be reasonably estimated and determined according to the salary data of the school in the previous year. Secondly, for special cases, such as the new school, it can be reasonably estimated and determined by referring to the per capita disposable monthly income of local urban residents or the per capita consumption expenditure of local urban residents. In some exceptional circumstances, such as the COVID-19 epidemic in 2020, there may be sharp changes in CPI. erefore, we should give CPI a range of values in case of this kind of sharp change happens. Considering recent years' situation, we think when CPI > 3% or CPI ≤ 3%, the CPI in the model should be substituted with 3% or −3%, not the true value of CPI. (4) ρ is the performance appraisal coefficient of the previous year. Because the post-based merit salary should reflect the work responsibilities, basic workload, and performance appraisal results, it is closely combined with the performance and demand of teaching and research work in specific universities, and the performance appraisal coefficient ρ of the previous year can be set to make reasonable adjustment to this situation. ρ is determined according to the comprehensive evaluation of the workload and performance appraisal results in the previous year and positively related to the comprehensive evaluation results. If the evaluation results are in a regular way, ρ is taken as 1. Correspondingly, if the evaluation results are higher or lower than the average level, they are taken as greater than 1 or less than 1, respectively. e value can be determined according to the specific performance appraisal results, one value for one person, in principle 0.7 ≤ ρ ≤ 1.3.

Dynamic and Optimal Generation Model of Post-Based
Merit Salary. e final generation model of post-based merit salary is established by introducing all the above parameters into the basic model (1). e final model is a dynamic and optimized generation model of the post-based merit salary of university teachers, as shown in the following: e meaning of each parameter in (8) is the same as those mentioned before, and it will not be repeated. Some parameters are explained as follows.
For the performance appraisal coefficient ρ in the previous year, the benchmark value is 1. If the performance of the current year is poor, it can be reduced as appropriate, such as 0.95. If the performance is good, it can be increased as appropriate, such as 1.05. η is a parameter used to adjust the influence percentage of the length of service on post-based merit salary. 1/η can be understood as the number of years of service required to increase the allowance of a professional technical level. c 1 > 0 refers to the difference of professional technical level parameters between adjacent professional technical levels in level 13 to level 8. e larger c 1 is, the greater the salary grade differential is. c 2 > c 1 refers to the difference of professional technical level parameters between adjacent professional technical levels in level 8 to level 5. c 3 > c 2 refers to the difference of professional technical level parameters between adjacent position levels in level 5 to level 2.

Dynamic Optimization Determination
Method for Post-Based Merit Salary of University Teachers

Determination Method and Optimization Adjustment of
Post-Based Merit Salary for University Teachers.

Scientific Programming
According to this study, the post-based merit salary of university teachers is calculated and determined according to equation (8) and adjusted dynamically. We should pay attention to the following problems in the specific work.
(1) Solve the coordination problem between the total amount of post-based merit salary and related parameters in colleges and universities: In the dynamic optimization model shown in (8), the constraint is the total amount of post-based merit salary of a specific university. However, according to the above research and discussion, each parameter in the equation has its reasonable value range. erefore, in the specific determination of a year's postbased merit salary, although it can be calculated according to the model, it often needs to be adjusted according to the actual situation of the university, and finally, determine the total post-based merit salary of the university and the value of the relevant parameters. e specific treatment method of this problem is as follows: Due to the changes in the social environment and specific situations of colleges and universities each year, the total performance salary of colleges and universities will change every year. For a specific year, the total performance salary is a fixed value. e decision-making staff of colleges and universities cut the total performance salary according to the components of performance salary and determine the total post-based merit salary according to the appropriate proportion; that is, the total post-based merit salary T discussed in this article is a component of the total performance salary. In practical work, if the other parts of the total performance salary can be compressed, it can ensure that the value of T is not less than the total demand of the post-based merit salary calculated by the current model, and all the relevant parameter values do not need to be adjusted adaptively. In this case, T � the total amount of post-based merit salary calculated by the model. If, for some reason, the value of T cannot meet the total demand of post-based merit salary calculated by the current model, then through calculation, the performance baseline F of this year will be reduced adaptively. Because S and F are related in each position grade model, without changing other parameters, each employee's post-based merit salary S will decrease accordingly. us, the post-based merit salary of all teachers is reduced by equal proportion based on total amount control.
(2) Reasonably determine the salary grade differential of post-based merit salary according to the current situation of colleges and universities. e salary differences between different post levels are adjusted by parameters c 1 , c 2 , c 3 , in which c 3 > c 2 > c 1 . Although it can reasonably widen the difference in post-based merit salary between different post levels, there are still two problems: the values of c 1 , c 2 , c 3 and the gap between three parameters. ese two problems still need to be solved through experience and analysis in practical work.
e recommended approach to this problem is that the values of c 1 , c 2 , c 3 are determined comprehensively according to the proportion of the teachers of each post level among the full-time teachers in the university in the current year and the performance appraisal requirements for teachers of each post level in the current year. Meanwhile, there is secondary management in colleges and universities. e management institutions of secondary colleges can adjust c 1 , c 2 , c 3 to meet the requirements of the staff structure and performance appraisal of the college according to the personnel structure of their respective colleges.

Case Analysis on the Determination of Post-Based Merit
Salary of University Teachers. Taking the actual situation of a university in Shanghai as an example, this article analyses the feasibility and effectiveness of the proposed optimization method of post-based merit salary.

Parameter Setting.
rough investigation, the CPI of cities and towns in 2019 is 2.9%. Combined with the actual situation of a university in Shanghai, set F 2019 � 40, 000, ese parameters are brought into equation (8), and the model is transformed into the following:

Calculation Results.
Simulate the equation (9) model with MATLAB, and draw the mesh image of post-based merit salary, as shown in Figure 2. It can be seen from Figure 2 that the post-and performance-based salaries generated by this model can set reasonable differences with the increase of post level, the differences of level 13 to level 8 are balanced, and the differences of level 8 to level 5 and level 5 to level 2 are appropriately improved. At the same post level, the coefficient of gradation also rises to a certain extent as the length of service increases. Meanwhile, the results of job appraisal also have a certain range of influence on post-based merit salary.
In order to more specifically observe the running results of the model, we take 8 teachers' samples for testing, and the results are shown in Table 3. Among them, column F is the post-based merit salary value of each teacher obtained by this model, and column G is the current post-based merit salary of corresponding teachers in a university in Shanghai.
By analysing the results of column F, we can see the rules of post-based merit salary of this model: from teachers 1 and 2 and teachers 3, 6, and 7, the higher the post level, the higher the post-based merit salary of teachers with the same length of service and the same performance appraisal results. From teachers 2 and 3, it can be seen that the longer the length of service, the higher the post-based merit salary of teachers with the same post level and performance appraisal results. From teachers 3, 4, and 5, we can see that the better the performance appraisal results, the higher the post-based merit salary. From teachers 7 and 8, it can be seen that the post-based merit salary of teachers with the same post level, length of service, and performance appraisal results dynamically change with the CPI year by year.
Analysing the results of column G, we can see the current law of post-based merit salary. Teachers 3, 6, and 7 show that the higher the post level, the higher the post-based merit salary. Teachers 2 and 3 show that the length of service has no effect on post-based merit salary. From teachers 3, 4, and 5, it can be seen that, compared with teachers with average performance appraisal results, teachers with poor performance appraisal results have post-based merit salary, but teachers with good performance appraisal results have no increase in post-based merit salary. From teachers 7 and 8, it can be seen that post-based merit salary does not change dynamically with the CPI year by year.
In summary, the test results prove that compared with the current post-based merit salary system of a university in Shanghai, the dynamic and optimized generation model of post-based merit salary developed in this article is reasonable and effective, and it can reflect the teachers' own post level, length of service, and performance appraisal results. Furthermore, the post-based merit salary generated by this model can also change dynamically with the price level.

Model Improvement and Problem Discussion.
Although the method and optimization model of university teachers' post-based merit salary proposed in this article satisfactorily solve the problems in the current salary system  such as single structure and cannot be adjusted dynamically according to price changes, it still needs to be gradually improved in the application. Related issues and their solutions are discussed as follows. e difficulty of the determination method and dynamic generation model of university teachers' post-based merit salary is the unity of its realistic rationality, social influence, and intelligent optimization. On the premise of studying and putting forward the dynamic generation model of postbased merit salary, the difficulty is transformed into the problem of reasonable determination of each parameter in the model. As mentioned above, although this article puts forward the principles and methods of parameter determination, it still needs discussion, research, and specific determination by relevant leaders. In the practical work, due to the need for different departments in colleges and universities to complete the work, there is a gap in mutual coordination, resulting in the actual effect being often difficult to achieve the satisfaction of teachers and the real sense of optimization. is problem still needs to be solved by the effective cooperation of different departments in colleges and universities.

Conclusion
Based on the consumer price index and the characteristics of colleges and universities, this articl analyses and discusses the influencing factors and determination principles of postbased merit salary for teaching and scientific research personnel in colleges and universities, and studies its dynamic and optimal generation model and determination method.
(1) e grade differential of post-based merit salary for university teaching and scientific research personnel should be determined at different levels and should be dynamically adjusted according to the price level. At the same time, the total post-based merit salary should be determined according to the specific conditions of the university, and it should be dynamically controllable. (2) e dynamic and optimized generation model of post-based merit salary for teaching and scientific research personnel established in this article can truly reflect the various elements of post-based merit salary through simulation experiments and case analysis. e amount of post-based merit salary is reasonably adjusted according to the post level of the teacher, the length of service, and the result of performance appraisal and can change dynamically according to the level of social consumption. is model not only conforms to the principle of giving priority to efficiency and giving consideration to fairness but also increases the competitiveness of universities in attracting talents. erefore, the postbased merit salary optimization model and method proposed in this article is an innovation in this field, which can be flexibly applied according to the actual situation of different universities.
(3) e model and method proposed in this article leave room for further research in its parameter determination methods, which should be solved in practice and further research.

Data Availability
e data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest
e authors declare that they have no conflicts of interest.