An Empirical Analysis of the Service Efficiency of Basic Public Education Based on the BCC-DEA Model of Neural Network Computing Principles

Abstract

Aiming at the problem that the performance ranking analysis method in the traditional BCC-DEA model will produce infeasible solutions under the assumption of variable returns to scale, this paper proposes to apply the neural network calculation principle to the DEA performance ranking analysis, thereby establishing a BCC based on the neural network calculation principle -DEA model, and then use this model to analyze the efficiency of basic public education service investment in Jilin Province during the “Twelfth Five-Year Plan” period, and studied the details of the nine-year compulsory education service. The implementation measures and implementation rules examine the relationship between the government’s interactions between educational resources and economic benefits. The layer is facing empirical research in Jilin Province as a whole. The study found that the overall high speed of basic public education services in Jilin Province is insufficient, and the education system, management level, and pure technical efficiency of resource allocation are the main factors affecting overall efficiency. Various investments made by the government during the 12th Five-Year Plan period, the efficiency changes in the whole period: the overall comprehensive efficiency changes in Jilin Province decreased during the five years, and the direct influencing factors were insufficient progress in education and through a variety of training, and a variety of multimedia education and new technology application. To this end, the paper puts forward the following suggestions: explore the public policy of sufficiency education, improve the performance of resource allocation; build a public policy of responsive education, improve the financial security mechanism; esTablelish a public policy of binding education, improve the system management; promote learning education Public policy to improve the development of capabilities.