Multidimensional Coordinated Development of Technological Innovation in Optoelectronic Information Industry

The optoelectronic information industry is a typical high-tech industry whose technological innovation capacity depends not only on internal industrial factors, such as R&D input, innovation output, technology commercialization, and economic performance, but also on support from the regional macro-level innovation environment. To comprehensively evaluate the technological innovation level of China’s optoelectronic information industry, this study constructs an evaluation framework that includes both industry-level indicators and macro-level innovation environment indicators, drawing on domestic and international innovation evaluation systems. Using the correlation coefficient method and the coefficient of variation method, 20 core evaluation indicators are selected from an initial pool of 48 candidate indicators. The composite index, coordination index, and coordinated development index are then used to measure the technological innovation level of the optoelectronic information industry in 20 typical Chinese provinces and municipalities from 2000 to 2022. In addition, scenario analysis, weight sensitivity analysis, global simulation, and segmented simulation are conducted to examine the relationship between the overall development level and the coordination structure among subsystems. The results show that the coordinated development level of technological innovation in China’s optoelectronic information industry exhibits an overall upward trend, with the national coordinated development index increasing from 0.132 in 2000 to 0.627 in 2022. However, regional disparities remain evident. Guangdong, Beijing, Zhejiang, Fujian, and Shandong have remained in the high-value group, whereas Liaoning, Hebei, Shaanxi, Jilin, and Guangxi have lagged behind. Further analysis indicates that the composite index mainly reflects the overall development level of the system, while the coordinated development index additionally characterizes the coordination structure among the input, output, benefit, and environmental support subsystems. It can help identify situations such as low-level equilibrium, structural imbalance, and cases where regions have similar development levels but different coordination states. The findings provide a reference for optimizing innovation resource allocation, identifying systemic weaknesses, and formulating differentiated innovation support policies for the optoelectronic information industry across regions.