Research On The Economic And Development Status Of Heilongjiang Province Based On Statistical Analysis

Heilongjiang Province is an important heavy industry base in China.Since the founding of the People's Republic of China,it has contributed a lot of manpower and resources for economic development,but its development has gradually slowed down since the reform and opening up,and it is facing economic difficulties.Many scholars are studying the economic development of Heilongjiang Province in order to find a solution.However,the existing research and evaluation system for the economic conditions of regions in Heilongjiang Province is not perfect,and the vision is limited in selecting evaluation indicators,and the advantages and disadvantages of the regional economy cannot be displayed from multiple angles.Based on this background,this article intends to construct a scientific index evaluation system,fully consider the economic characteristics of the regions,and evaluate the economic development of 13 regions in Heilongjiang Province through statistical analysis comprehensively and accurately.First,using the method of factor analysis,this article has the following four conclusions:First,there is little difference between the overall score ranking and the per capita GDP ranking.The per capita GDP rankings of the 10 regions basically correspond to the comprehensive rankings,and three of the regions rankings are quite different.Second,the overall difference between the ranking of per capita disposable income and the overall score of the region is relatively small,but there are two regions which have relatively large difference.Third,the distribution of total economic output among cities and regions in Heilongjiang Province is seriously unbalanced,and development lacks coordination and sufficiency.Fourth,the index system constructed in this article has realized the supplement,improvement and expansion of the evaluation methods that only consider economic indicators,and the conclusions given are scientific and reliable.Secondly,this paper uses cluster analysis of the main factor scores,uses the clustering results to classify cities,and gives corresponding explanations to the classification results.At the same time,relevant decisions and suggestions are given.Thirdly,this paper conducts the robustness inspection of the corresponding model after factor analysis and cluster analysis.It is found that the difference between the two analysis results is not so large,that is,the abnormal value has little interference to the model,thus demonstrate the reliability of the model conclusions.Fourthly,this paper uses the entropy method to re-establish an evaluation model for the index system,compares it with the result of the factor analysis model,and combines the two methods to make improvements,demonstrating the scientific nature of the constructed index system.Finally,This paper carries out a numerical simulation on the solution of a class of BSDE.