| The priority of rural public welfare development is compulsory education.In the report of the 19th National Congress of the Communist Party of China,it is proposed that "we should promote the integrated development of urban and rural compulsory education,attach great importance to rural compulsory education,and strive to make every child enjoy fair and quality education.".With the joint efforts of the central and regional governments,Ningxia has made great achievements in the balanced allocation of compulsory education resources.With the improvement of local economic level and the rapid development of compulsory education in Ningxia,the gap between urban and rural education still exists,especially the inefficient allocation of rural compulsory education resources still restricts the balanced development of compulsory education in Ningxia.In order to improve the quality and efficiency of compulsory education resource allocation in Ningxia rural areas and realize educational equity,we must take necessary measures from human,material and financial resources to evaluate the efficiency in an all-round way based on the current system guarantee,and further optimize and enhance the efficiency of compulsory education resource allocation in Ningxia rural areas.This article takes Ningxia’s rural compulsory education resources as the research object,and adopts the method of combining literature analysis,comparative analysis and empirical analysis.First,it sorts out relevant research results at home and abroad,and systematically elaborates the theory of public products,human capital and educational property rights.It also explains the application of these theories in the study of the efficiency of resource allocation in rural compulsory education in my country.Secondly,it uses comparative analysis to introduce in detail the basic situation of Ningxia compulsory education and the current situation of educational resource allocation,establishes an evaluation index system for the efficiency of Ningxia’s rural compulsory education resource allocation,and uses the DEA model to analyze Ningxia’s 2011-2018 Yinchuan,Shizuishan,Wuzhong,Guyuan and Zhongwei 5 Evaluation and analysis of the efficiency value of educational resource allocation in rural primary and secondary schools in prefectures and cities.Finally,based on the comprehensive efficiency value of the allocation of rural compulsory education resources in various cities in Ningxia,the Tobit model is used to conduct regression analysis to explore the factors that affect the efficiency of the use of rural compulsory education resources in Ningxia.The research results show that the overall level of overall efficiency of resource allocation for compulsory education in Ningxia is relatively high,but DEA ineffective units still occupy a large proportion,and there are obvious differences between cities and regions.The factors that have a significant impact on the efficiency of resource allocation of rural compulsory education in Ningxia are the level of regional economic development,the level of urbanization,the level of informatization teaching in rural schools,and the level of teachers.It can be seen that it is not blindly increasing the input of material and financial resources to increase the efficiency of the resource allocation of rural compulsory education.When increasing the investment in education,the efficiency of the use of educational resources should be more important to avoid the waste of educational resources.The realization of the maximum efficiency of resource allocation in rural compulsory education in Ningxia requires more flexible allocation of educational resources.Based on the results of current situation analysis and empirical analysis,we propose to improve teacher mobility policies and incentive mechanisms for the human,financial,and material resources in the allocation of educational resources;strengthen the government’s responsibility for optimizing the allocation of financial resources for rural compulsory education;and optimize the layout of schools to adapt to local population flows. |