Empirical Analysis Of The Relationship Between Industrial Structure And Economic Growth In China

Economic growth shows a country's economic strength in some ways and is an important indicator of a country's economic development.The growth process of total economic volume is often accompanied by the process of optimization and upgrading of industrial structure.From the development experience of many countries in the world,the situation of industrial structure has a great impact on a country's economic growth.On the contrary,economic growth also plays a very important role in promoting the evolution of industrial structure,and the two are inextricably linked.Therefore,in order to ensure the stability and healthy development of economy,it is of great significance to study the general law between industrial structure and economic growth in China.This study focuses on economic growth and industrial development.On the basis of relevant theories,combined with the actual situation of our country,drawing lessons from the latest achievements of econometrics research,this paper makes an empirical analysis on the industrial structure and economic growth of our country,and gives some relevant suggestions according to the results of the analysis.The empirical analysis is divided into two parts.The first part makes an empirical study on the relationship between industrial structure and economic growth in China.In this study,the VAR model is used to make an empirical study on the linear dynamic relationship among the gross domestic product index(GDP),the proportion of actual added value of the tertiary industry and the proportion of employed persons in the tertiary industry.On this basis,the co-integration test and causality test of the three variables are carried out to reveal the causality and long-term equilibrium relationship between them.In order to analyze the influence of endophytic variables and random interference on each variable,the impulse response and variance decomposition models were established for empirical analysis.The second part of the empirical analysis is to analyze the impact of the production factors of the three industries on economic growth by establishing a regression model.In order to eliminate the influence of multiple collinearity on regression analysis,Ridge regression and Lasso regression methods were used to compress the variables.The results show that there is a long-term and stable dynamic equilibrium relationship between industrial structure and economic growth in China,and the employment structure and output value structure are the main driving forces of economic growth.At the same time,labor input and energy consumption have an important impact on economic growth,and the secondary industry still occupies a major position in China's economic growth.The development of the tertiary industry is the main direction of the adjustment of the industrialstructure in our country in the future.On the basis of the steady development of the secondary industry,the investment of labor force and energy in the tertiary industry should be increased in order to stimulate the economic growth.