Higher Education, Technological Innovation, and Regional Sustainable Development: Insights from a VAR Model

Sustainable development has increasingly become a primary concern of governments in the stage of high-quality economic development. Taking as an example Guangdong Province, China, where development and polarization coexist, this study uses a Vector Autoregressive(VAR) model to examine the relationship between higher education, technological innovation, and economic growth, and then uses the Coupling Coordination (CC) model to evaluate the developing coordination of subsystems where the above three elements are located; furthermore, it summarizes the mechanisms and corresponding paths of higher education on the quantity and quality of economic growth and illustrates the interactive relationships, the dynamic mechanisms, and the influencing factors. The results show that there is a dynamic interaction mechanism between higher education, technological innovation, and regional economy. The effect of this mechanism is enhanced in developed areas and with an obvious circle cumulative effect, while partly inhibited in undeveloped areas and with less or no circle cumulative effect. Therefore, on the path towards high-quality development, endogenous development models should be formulated and strengthened by developing higher education and constructing an innovation system, especially in the undeveloped areas. Higher education should be more in the regional development framework and targeted at the interaction and synergy in the regional socioeconomic system.