Research on Industrial Economic Innovation Development Strategy Based on Ordered Logit Modeling

Abstract Constructing a new development pattern and developing high-quality productivity cannot be separated from the innovative development of various industrial economies. What factors affect the development of industrial economy, according to which industrial economic development strategies can be summarized, is the focus of attention in this paper. Ten secondary indicators corresponding to the level of economic development, the level of urbanization, the standard of living of the population, the labor force and the role of the government are selected as variables and incorporated into the ordered Logit model for regression analysis, and innovative development strategies are proposed based on the results of the analysis. The significance p>0.05 of variables such as urban land utilization rate, number of people employed in the industrial economy, and cost of living index, and the regression coefficients of variables such as GDP, GDP per capita, proportion of the urban population, disposable income per capita, number of college graduates, and government financial expenditures and efficiencies were all found to be positive, which suggests that in order to realize the innovative development of the industrial economy, we should implement the following measures: strengthening the economy, expanding the industrial clusters, promoting consumption, attracting talents, increasing government support and other strategies should be implemented to realize the innovative development of industrial economy.