Technological innovation of multinational corporations (MNC) is an important engine to drive the world’s scientific and technological progress, which plays an important role in the sustainable development of global innovation. With China’s high-tech industry from 2009 to 2020 as the research sample, this study empirically analyzes the impact of MNCs’ two-stage innovation on the innovation efficiency of China’s high-tech industry through the perspective of base regression, threshold effect, and regional heterogeneity. It was found that MNC research and development (R&D) efficiency and achievement transformation efficiency have a positive impact on the innovation efficiency of high-tech industries in China, with nonlinear features and regional heterogeneity. This study provides an empirical basis for the efficient use of MNC’s innovative resources and the sustainable development of China’s high-tech industry.

Innovation is the main driving force to promote national technological progress. It is of great significance to explore the optimal path to improve innovation efficiency by using the qualitative method and neural network prediction model to promote the high-quality development of the national economy. This study focuses on high-tech industries in the eastern, central and western regions of China; a factor-dependent research framework for innovation efficiency improvement in high-tech industries is constructed in China. The fuzzy-set qualitative comparative analysis method (QCA) is used to explore multiple paths to enhance the innovation efficiency of China’s high-tech industries. Then, a GA-PSO-BP neural network is used to construct an optimization model for the enhancement path of technological innovation efficiency, which clarifies the optimal path for the enhancement of innovation efficiency of high-tech industries in the eastern, central and western regions of China. Finally, innovation management strategies for high-tech industries are presented with regional features. The study finds that none of the individual conditions are necessary to promote the innovation efficiency of China’s high-tech industries, and only the linkage effect of the factors can achieve the goal of improving the innovation efficiency level of China’s high-tech industries. There are four configuration paths to improve the innovation efficiency of China’s high-tech industries, which are: “Multinational company (MNC) innovation—economic development—government support”; “MNC innovation—government support”; “economic development—government support”; and “economic development”. The characteristics of regional heterogeneity make differences in the optimal paths of innovation efficiency improvement in high-tech industries in eastern, central and western regions of China.

The purpose of this study is to explore the relationship between the domestic patent application and international technology innovation in an open economy. Using the panel data of Asia-Pacific countries, this paper empirically analyzes the effect of economic openness level on international technological innovation and the moderating mechanism of the domestic patent application on them. The results show that the promotion effect of economic openness level on international technological innovation is different in countries with different income levels. With the increase of Foreign Direct Investment (FDI), the domestic patent application displays a promotion effect on Patent Cooperation Treaty (PCT) application. Due to the improvement of intellectual property protection in middle-high-income countries, more and more foreign investors are attracted to invest in those countries and then learn from the new technologies brought by foreign capital. The technology spillover effect of FDI is more obvious in middle-high-income countries. With the increase of Outward Foreign Direct Investment (OFDI), the domestic patent application can promote PCT application in high-income and middle-high-income countries. But there is no evidence that domestic patent application positively or negatively moderates the relationship between OFDI and international technological innovation in middle-low-income countries.

Introduction: As an important social group, mothers possess unique physiological and psychological characteristics. They may rely on Internet sources for obtaining health information about themselves and their children.Methods: Based on the Elaboration Likelihood Model (ELM) and Technology Acceptance Model (TAM), the influencing factors model of maternal online health information searching behavior is constructed. We collect 903 valid sample data through the questionnaire survey in China. Using SPSS software to empirically analyze the influence of different influencing factors on maternal online health information searching behavior.Results: Perceived usefulness mediated between the Internet information quality and online health information-seeking behavior, accounting for 59.46% of the variance. Anxiety mediated between maternal stress and online health information-seeking behavior, accounting for 19.40% of the variance.Conclusion: Internet information quality positively affected mothers’ perception of the usefulness of the information. Perceived usefulness and anxiety played a partial mediating role in the central and peripheral paths, respectively. Furthermore, social support effectively moderated the influence of maternal stress on their anxiety.