Research On The Spatial Pattern And Driving Factors Of Producer Service Industry

With the changes in the global industrial division of labor system,the producer service industry has gradually become the focus of the development of various countries.At present,my country has entered a new stage dominated by the service industry.Since 2008,the producer service industry in Shandong Province has developed relatively smoothly.The industrial structure is still dominated by traditional manufacturing and still needs continuous improvement.For this reason,the spatial distribution pattern and driving factors of the producer service industry in Shandong Province have been studied.This study starts with the overall industry to study the spatial distribution pattern of the producer service industry at the industrial level and time and space level,and analyzes its influencing factors from a global perspective and a local perspective.Focus on clarifying the impact of the interaction between factors on the producer service industry,and the difference in the influence of the same factor on different regions.In the analysis of local influencing factors,the method of processing outliers in the geographically weighted regression model is improved to improve the accuracy of the regression results.The specific research content is as follows:(1)Combine the adaptive critical value weight function with the geographically weighted regression model to establish a geographically weighted regression model(A-GWR)of the adaptive critical value weight function.Experiment with simulated data and compare the estimates before and after the model is improved.As a result,to verify that the improved model can effectively improve the performance of the model.(2)Analyze the overall development trend of the industry in Shandong Province,and summarize the industries covered by the producer service industry,at the industry level,use the Gini coefficient and the standard ellipse method to explore the overall trend of the producer service industry,and find that the overall trend of the producer service industry in Shandong Province Developing in the southeast direction;at the temporal and spatial level,using location entropy and nuclear density estimation methods,explore the regions with advantages for the development of the producer service industry,and the concentrated location of the various industries that the producer service industry belongs to.(3)Use the geographic detector model to study the factors affecting the development of the producer service industry in Shandong Province from a global perspective,to make up for the inaccurate analysis of influencing factors caused by the collinearity of variables when the global regression analysis method is used.Obtain the relationship between a single variable and the interaction between variables on the development of the producer service industry.The experiment found that the impact of each indicator on the development of the producer service industry in Shandong Province is significantly different.(4)Use the A-GWR model to construct the regression relationship between the producer service industry and the index from a local perspective,and conduct a comparative analysis of the regression accuracy,and obtain the regression result between the producer service industry and the index,and analyze the difference in each index The impact of the region on the producer service industry.