2018APMCM亚太数学建模比赛B题

2018 APMCM summary sheet

Urban Development and Talent Demand

Summary

In recent years, attracting talents to develop cities is one of the hot spots in many cities. In the process of talent demand, mainly through the Internet recruitment, based on A city talent demand data, to solve the following problems.

For the first problem, this paper makes statistical analysis on the quantity of talent demand, the quantity of job demand, the number of job types, the educational background and so on, and makes full use of the data given in the annex. Through analysis, it is found that the demand for talents in A city is characterized by the decrease of total demand, the increase of post types and the increase of educational requirements.

For the second question，making first three years of existing data demand trends, demand change and the close time, using the SPSS software analysis and establish the talent demand data of the three years since the correlation ARIMA to fitting of talent demand, draw a Stationary R-squared 0.840, the fitting effect is good. Therefore, we forecast the future talent demand based on the ARIMA model. First, we got the change trend of the next year. After iterative prediction, we finally got the change trend of the talent demand of city A in the next three years.

For the third question, the data of A city is cleaned, considering the attached data is the largest city employment market in A city, the industry proportion information of A city is analyzed and compared with the urban industrial structure of 297 cities in China. It is found that the tertiary industry in A city is relatively developed, which is manifested in the top five industries in finance, tourism, sales, catering and high-tech industries. It is similar to the industrial structure of Beijing, similar to the financial center and political center. The status of a cultural centre By using the ARIMA method in question 2 to forecast the high-tech industry, it is known that its job demand growth rate is slowing down, and its high-tech industry alone is developing. A slowdown in growth, increased competition in the industry and increased demand for high-end talent

For the fourth question, in view of the factors affecting college students' employment choices, the AHP is used to model and calculate, taking into account income, stability, personal value and other factors as the criterion layer, starting a business, civil servants, etc. After comprehensive calculation, the consistency is very good. It is concluded that college students tend to choose employment for civil servants and enterprises. According to this model, some suggestions on A city development and talent attraction are put forward.

 

 

Keywords: Statistical Analysis、ARIMA、Analytic、Hierarchy Process,、Talent demand、SPSS、Employment Analysis