In the era of digital economy, digital technology innovation has become a core factor driving China's economic development. Based on the data of China's A-share listed companies and the list of the top five suppliers and distributors of listed companies from 2009 to 2022, the impact and mechanism of digital innovation in upstream and downstream enterprises of the industrial chain on digital innovation in midstream enterprises. By combining international patent classification with text analysis method, digital innovation patents was empirically investigated to characterize the level of digital innovation. The results show that the improvement of digital innovation levels in upstream and downstream enterprises significantly promotes digital innovation in midstream enterprises, indicating a significant positive spillover effect in the industrial chain. This effect is more significant in upstream enterprises, enterprises in the same industry, and enterprises with the same ownership type. Technological knowledge diffusion and market performance incentives are the two channels for the spillover effect. The micro-mechanisms of spillover effects among upstream, midstream, and downstream enterprises within industrial chains are revealed. Theoretical references and practical insights are provided for promoting digital innovation and key technological breakthroughs in enterprises, as well as facilitating the integration of the digital economy with real economy along industrial chains.

The Third Plenum of the 20th Central Committee of the Communist Party of China further emphasized the need to accelerate the cultivation of new quality productive forces, and pointed out the construction of a national integrated technology and data market, and the promotion of market-oriented reforms in factors. New quality productive forces is the inheritance and innovation of Marxist productivity theory, and data elements interact with other production factors through their own characteristics, thus nurturing new quality labor materials, nourishing new quality labor objects, shaping new quality labor force, and becoming an important quality of new quality productive forces. But this process is also accompanied by practical problems such as insufficient labor capacity, imbalanced supply and demand of labor objects, unsmooth transformation of labor materials, imperfect technological innovation mechanisms, and insufficient development of emerging industries, which hinder the high-quality development of new quality productive forces. In view of this, it is urgent to take important discourse on new quality productive forces as guidance, build a comprehensive talent training system, and consolidate the source of the formation of new quality productive forces. Promote market-oriented allocation reform of data elements and smooth the path of new quality productive forces growth. Form a tripartite collaboration among the government, market, and enterprises to improve the support system for new quality productive forces. Deepen the construction of the scientific and technological innovation system to adapt to the rapid changes in new quality productive forces. Build strategic emerging industrial clusters, build a solid foundation for the development of new quality productive forces, and then accelerate the formation of new quality productive forces to promote Chinese path to modernization.

The development of AI large models is reshaping the innovation model driven by technology-push and demand-pull, making the interaction mechanisms between the two more closely integrated. However, existing literature lacks a systematic discussion on the innovation process driven by the interaction between demand and technology under the influence of AI large models. For this reason, a case study of AI large model-empowered innovation in the Tmall Genie product was conducted, based on the perspectives of the technology track and market track. The pathways for technology-push, demand-pull, and dual-track interactive innovation enabled by AI large models were extracted. The findings indicate that traditional AI technologies contribute to technology-push innovation by participating in stages such as technology identification, market validation, and testing, while also embedding in demand-pull innovation through stages like user need acquisition, evaluation, and transformation, facilitating the discovery and realization of personalized demands. AI large models enable the synergistic evolution of technology and demand, and support industry upgrading by promoting innovation ideation, technological advancement, bidirectional interaction, iterative innovation, knowledge expansion, and transformation. Compared with the innovation diffusion under the weak coupling mode between technology and demand driven by traditional AI, AI large models, with their significant advantages in expanding "user attributes" "innovator roles" and "knowledge domains" promote innovation diffusion under the strong coupling mode between technology and demand. It provides theoretical foundations and practical insights for enterprise innovation management and industrial upgrading empowered by AI large models.

New energy vehicle industry is an important strategic emerging industry for cultivating national new quality productive forces. Based on patent application data from 2013 to 2022 of the three enterprises (BYD, GEELY and WULING), Lotka-Volterra population competition model was constructed to explore out their coopetition relation mode and evolving trends. Main conclusions are as follows. Firstly, coopetition relation has been an important driving factor to stimulate technological innovation evolution. Secondly, their coopetition model shows great heterogeneity among the three leading enterprises. At current stage, "BYD + GEELY” “WULING + GEELY" show such mutually promoting type. Meanwhile, " BYD +WULING" show the competition-cooperation type. Thirdly, in accordance with simulation results, innovation outputs of enterprises vary with coopetition relation coefficient changes. Innovation output effect of new vehicle industry is positive when the coopetition intensity of mutually-prompting type grows. The positive innovation effect from "WULING + GEELY" coopetition intensity growth is more than that from the other one. Therefore, cultivating orderly competition and coordinated cooperation mode mechanism, especially most potential competition types, should be paid more focus on realizing its high-quality innovation outputs and supporting its new-quality productivity formation for the new energy vehicle industry of China.

With the deepening of globalization, latecomer firms continue to emerge in the market and are gradually evolving from innovation catch-up to innovation frontier. Although there are already latecomer firms that are fully developed and gradually located in the leading position in the innovation ecosystem, there is little research on the mechanism of the dynamic process of catching up with the leading firms based on the same innovation ecosystem in the context of innovation catching up. By analyzing the longitudinal case study of the fire-fighting enterprise Tanda, the analytical framework of "catching-up pressure-catching-up process-catching-up result" was built. It is found that in the ecological integration stage, the three windows of opportunity, namely, technology, system and market, comprehensively identify and guide enterprises to adopt different strategic responses, which expands the research on the coupling of windows of opportunity and strategy. In the innovation catching-up stage, the evolution of innovation is characterized by a progressive trend from "imitation innovation-independent innovation-collaborative innovation". The integration of innovation ecology shows a gradual deepening process from "embedding" to "evolution" to "stabilization", and realizes its own ecological position in the innovation ecosystem. It is help to provide reference ideas for further research on the theory of window of opportunity, to further improve the research on catching up of latecomer enterprises in China, and to expand the theoretical research system of innovation ecosystem.

As the new round of technological revolution and industrial transformation deepens, the integration of the digital economy and manufacturing has become a key force in driving industrial upgrading. The theoretical framework known as the "techno-economic paradigm" refers to the economic patterns that emerge after technological innovation reshapes the macro and microeconomic structures and operational models. It reveals the evolutionary process through which the digital economy empowers the transformation and upgrading of manufacturing, spanning the stages of "technological system-economic structure-social institution." Although the focus of U. S. policies related to the digital economy may differ, they essentially adhere to the evolutionary logic of the "Techno-Economic Paradigm." These policies revolve around digital top-level design, digital technology development, digital talent training and cultivation, digital collaborative innovation, and the digital ecosystem. The ultimate goal is to drive the evolution of enterprises, industries, and economic systems, thereby achieving the digital transformation and upgrading of the manufacturing sector. In light of the current challenges faced by China's manufacturing industry, efforts to empower manufacturing transformation through the digital economy should focus on strengthening top-level design and policy frameworks, enhancing technological innovation and standards development, bolstering digital talent support, promoting collaborative innovation in all aspects, and building a hierarchy of manufacturing enterprises.

Taking technological incentive policy, "notice on the cultivation of specialized, refined, special and new 'Lttle Giant" in 2018, as a quasi-natural experiment, the data of listed enterprises from 2015 to 2021 was adopted to identify the impact of the policy on technological innovation and financing constraints of Little Giant, and then verified the mechanism of the policy on the high-quality development of Little Giant. The results show that the technological incentive policy significantly improves the TFP of Little Giant, with a noticeable time lag. Further analysis verifies that the policy primarily influences the TFP of Little Giant through the interaction of innovation effect and certification effect. Heterogeneity analysis show that the policy has a more significant promoting effect on private enterprises, which extends the microcosmic mechanism of Chinese technological incentive policy to offset financing constraints, deepens the understanding of the effect of incentive policies, and provides theoretical guidance and implementation plans for promoting the high-quality development of Chinese SMEs.

Taking Chinese A-share listed companies in the new generation of information technology (NGIT) industry as a sample, the incentive effect of government subsidies on technological innovation of NGIT listed companies was empirically tested from three dimensions: technological innovation inputs, technological innovation outputs, and technological innovation behaviors represented by cooperative R&D. The findings indicate that government subsidies promote technological innovation inputs, outputs, and cooperative R&D behaviors of NGIT listed companies. Ex-post subsidies are shown to be more effective in stimulating high-quality technological innovation output. The factors of heterogeneity in the relationship between government subsidies and cooperative R&D are further examined. Results demonstrate that stronger knowledge absorption capacity in listed companies enhances the effect of government subsidies on the willingness, quantity, and quality of cooperative R&D. Additionally, the presence of more colleges and universities in the province where the listed company is located leads to an increase in the quantity and quality of cooperative R&D. Government subsidies are also found to be more beneficial for improving the quality of cooperative R&D when the listed company is part of an innovative industry cluster. Suggestions are provided for optimizing and effectively utilizing government subsidy policies to promote technological innovation in NGIT listed companies.

The involvement of major energy-exporting countries in geopolitical conflicts can easily lead to volatility in international energy markets and have an impact on the world economy. Based on a macroeconomic model and using counterfactual analysis and vector autoregression, the differential impacts of geopolitical conflicts on different economies through the volatility of the energy market was analyzed, and China's response measures based on the perspectives of energy security and national security was put forward. The results show that geopolitical conflicts have negative impacts on different economies through crude oil market volatility, with the European economy, which is more dependent on Russian energy, being affected to a greater extent. It is recommended to pay great attention to the risk of geopolitical conflicts, accelerate the formation of a diversified pattern of crude oil imports and energy consumption, stabilize investor expectations, improve the construction of the capital market and maintain the stability of the RMB exchange rate, so as to prevent the negative impacts that geopolitical conflicts may have on China's energy security.

In an innovation-driven market environment, creative deviance in employees is increasingly observed in modern enterprises. To explore individual factors influencing creative deviance behavior, a moderated mediation model was constructed grounded in the proactive motivation framework. The study investigated the influence of narcissistic employees on creative deviance through creativity-driven norm-breaking motives. Additionally, the moderating role of employees' sense of occupational calling is explored. Based on 375 survey responses from employees in innovation positions, it was found that narcissism significantly enhances creative deviance. Creativity-driven norm-breaking motives mediate the relationship between narcissism and creative deviance, while the sense of occupational calling positively moderates both the direct effect of narcissism on creativity-driven norm-breaking motives and the mediating effects. The findings provide insights into the literature on creative deviance and offer guidance on directing employee creative deviance.