The disruptive technology innovation has become an important way for Chinese equipment manufacturing enterprises to get rid of external dependence and realize intelligent transformation. However, the mechanism of intelligent transformation through disruptive technology innovation is not clear. Based on the relevant researches and actual cases, six key influencing factors including "dual organizational structure" were condensed from the level of technological disruption, technological application and organizational guarantee. Combining necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), brought the impact of these factors in the process of intelligent transformation based disruptive technology innovation into a common analysis framework in order to explore the necessary condition and the mechanism of the configuration with 20 typical equipment manufacturing companies as research samples. It is found that dual organizational structure is the main driving force for the equipment manufacturing industry to realize intelligent transformation through disruptive technology innovation. Two approaches named "technological trajectory transition" (S1) and "innovative application of scenarios" (S2) to realize the intelligent transformation are obtained. There is a reciprocal relationship between "technology transition" and "scenario-based innovation", as well as a reciprocal relationship between "cross-border technical cooperation" and the combination of "ahead of the layout" and "lack of scenario-based innovation" under certain conditions. In a word, the results not only clarify the internal mechanism of intelligent transformation of equipment manufacturing enterprises driven by disruptive technology innovation, but also provide path guidance for enterprises to implement intelligent transformation according to their own reality.

The relationship between empowering leader-employee perception matching and task performance is explored from the perspective of leader-employee matching, grounded in the leader-member exchange theory. A total of 261 pairs of leader-subordinate matching data were analyzed through the application of polynomial regression, response surface analysis, and block variable analysis. The results indicate that a closer alignment between empowering leadership and employees' perception of empowering positively correlates with subordinate task performance. Specifically, in cases of consistent matching, the combination of high empowering leadership and high employee empowering perception leads to superior task performance, compared to scenarios that both of them are low. Conversely, in cases of inconsistent matching, a mismatch where high empowering leadership is paired with low employee empowering perception results in higher task performance. The leader-member exchange relationship plays a partial mediating role in the influence of the matching of empowering leader-employee empowering perception on task performance. Additionally, workplace status is found to moderate the relationship between LMX and task performance. Insights into the reasons for heterogeneity in leadership empowerment effects are gained from a matching perspective. Matching research is enriched in the context of empowering leadership effectiveness and a more comprehensive perspective is provided for future research on empowering leadership.

Based on analyzing the impact mechanism of digital technology development on the upgrading of urban industrial structure in China, the panel data of 276 cities from 2011 to 2021 were used to build a digital technology development index, and the impact of digital technology on the urban industrial structure has been empirically tested using the dual fixed effect model and the intermediary effect model. The findings are as follows. Digital technology can significantly promote the upgrading of urban industrial structure and promote the advancement of urban industrial structure. Economic efficiency is an intermediary variable that digital technology promotes the upgrading of urban industrial structure. Digital technology improves economic efficiency by reducing transaction costs, improving transaction efficiency, and deepening labor division, thereby indirectly promoting the process of urban industrial structure upgrading. The impact of digital technology on the upgrading of urban industrial structure exhibits regional heterogeneity. It plays a crucial role in driving the transition towards high-end development in relatively less developed regions, such as the Midwest. Based on this, it is recommended to strengthen the construction of digital infrastructure, focus on building a complete data element market, bridge the "digital divide" between regions, formulate industrial digitalization policies tailored to local conditions, accelerate the integration and development of digital technology and the real economy, to fully leverage the positive promotion effect of digital technology on the upgrading of urban industrial structure and promote the upgrading of urban industrial structure.

The existence of ESG rating disagreement brings certain decision-making problems to creditors, but it also prompts enterprises to "self-help". This "self-help" behavior may alleviate the information asymmetry between enterprises and creditors, enhance the development potential of enterprises, and thus reduce the cost of enterprise debt financing. Based on the panel data of Chinese listed companies from 2009 to 2022 the impact of ESG rating disagreement on debt financing costs and their mechanism was explooed. The results show that ESG rating disagreement sgnificantly reduces the cost of corporate debt financing, which is still established after a series of robustness tests and endogeneity treatments, such as double clustering, subsample regression, PSM propensity score matching, quasi natural experiments, etc. Mechanism analysis shows that ESG rating disagreement reduces debt financing costs by forcing enterprises to improve the quality of ESG information disclosure, green innovation level and attract the attention of analysts. Heterogeneity analysis founds that ESG rating disagreement has a more obvious effect on reducing the debt financing costs of high-polluting enterprises and enterprises with poor regional financial ecological environment. The economic consequences shows that ESG rating disagreement increases the market value of enterprises, resulting in higher market development capabilities for enterprises. It reveals the economic consequences of ESG rating disagreement from the perspective of debt financing costs, enriches the connotation of ESG rating disagreement, and is of great significance for the urgent need to unify ESG rating standards and how to unify them.

Servitization is an important direction for the high-quality development of manufacturing transformation and upgrading. The state attaches great importance to the pilot work of servitization and promotes the innovative development of servitization. The existing researches focus on the influence of internal factors and external market factors on the service performance of manufacturing enterprises, but pay little attention to the promoting role of pilot policy factors. Based on the list of the first and second batch of servitization pilot enterprises published by Zhejiang Provincial Department of Economy and Information Technology in 2017 and 2018 respectively, panel data of 200 listed manufacturing enterprises with service characteristics in Zhejiang Province, including pilot enterprises, were selected from 2013 to 2019. The influence of servitization pilot policy on enterprise service performance is tested by difference in differences method. It is found that the implementation of service-oriented manufacturing pilot policy has a significant positive impact on the improvement of service performance of manufacturing enterprises, and theoretically, the enterprise reputation brought by the pilot may further enhance this improvement effect. In addition, the impact of pilot policies on service performance is characterized by heterogeneity, and its net impact increases with the continuation of pilot policies. The specific performance is that from the first year of the pilot to the third year of the pilot, the improvement speed of enterprise service performance has increased year by year. The implementation effect of the servitization pilot policy in Zhejiang Province has been effectively verified, which provides inspiration for the formulation, implementation and improvement of the servitization pilot policy in China.

China promotes the formation and development of new quality productive forces through high level technology for self-reliance and self-improvement is not only necessary to achieve high-quality domestic economic and social development, but also to cope with the technological game between China and the United States under the centenary changes, and to grasp the laws of the evolution of technology and productivity themselves. There is an inherent logic of dual wheel drive between level technology for self-reliance and self-improvement and new quality productive forces. That is, while new quality productive forces triggers systematic changes in high level technology for self-reliance and self-improvement, high level technology for self-reliance and self-improvement has also become a key element and positive variable in the formation and development of new quality productive forces. On this basis, China has "double new" advantages, people-oriented advantages, institutional advantages, and fundamental advantages. In the new stage of development, China should make full use of these four advantages, clarify the strategic thinking based on giving play to the cohesive force advantage of Chinese path to modernization, increase the efforts to tackle key core technologies with the core of improving the original innovation ability, optimize the layout of modern industrial system with the focus on "innovation" and "renewal", and create a first-class technological innovation environment with the main line of promoting technological governance modernization. Finally, the formation and development of the new quality productive forces will be located in the synergy between high level technology for self-reliance and self-improvement and Chinese path to modernization.

Employing the spatial econometric model, the panel data was utilied from 41 cities in the Yangtze River Delta spanning the years 2006 to 2015 as its research sample. The influence of digital economy on the quality of urban export products was analyzed. The results show that there is a positive spatial correlation between the quality of export products on the whole, and the digital economy can significantly improve the quality of export products in cities. This conclusion is still valid in the robustness test. The mechanism test shows that the digital economy promotes technological innovation, improves the quality of imported intermediate products, promotes the high-end structure of export products, and then improves the quality of urban export products. Heterogeneity test show that the digital economy can significantly improve the quality of export products of non-private enterprises, and compared with other cities digital economy plays obvious role in promoting the quality of export products in large and above cities.

In the context of increasing deglobalization trends, the evolving and intricate host country media landscape presents formidable challenges to the internationalization process of China. The crucial decisions regarding how this environment affects the entry strategies of multinational enterprises into international markets lack systematic empirical validation. Leveraging sentiment analysis technology and web crawling techniques, conducting textual analysis on over 8.3million discourse items related to China from the period 2015 to 2022, constructing a China-related public sentiment index and systematically examined the impact of the host country media environment on the entry mode selection of Chinese enterprises operating abroad. The research findings reveal that as the host country media environment deteriorates, Chinese enterprises are more inclined to opt for joint venture models over wholly-owned subsidiaries when entering international markets. Furthermore, compared to cross-border mergers and acquisitions, Chinese enterprises exhibit a stronger inclination toward greenfield investments as their entry strategy. The ownership structure of multinational enterprises and their internationalization experience exert a positive moderating effect on these relationships. In terms of the underlying mechanisms, the host country media environment influences the choice of investment mode by affecting the regulatory, normative, and cognitive legitimacy of enterprises. The conclusions provide valuable recommendations for multinational enterprises to appropriately select their entry modes into international markets, actively mitigate or reduce reputational risks, and enhance their investment and operational strategies in host countries.

Faced with the controversy over whether the talent plan motivates technology talents or triggers their eagerness for quick success and impatience, the characteristics of talent plans and the functional alienation issues that existed in the practical process was systematically reviewed. It constructs a theoretical model framework for technology talents' motivation, uses national survey data and propensity score matching methods, analyse the net effect of talent plans on motivating high-level technology talents to achieve success. The results indicate that the characteristic of talent plans is to cultivate and improve the innovative research ability of talents, encouraging talents to freely explore and innovate fundamentally. However, there are problems in the implementation process, such as excessive use of policy tools, excessive inclination of salary and resources, and alienation of policy functions. Moderate research funding support can help strengthen the achievement motivation of talents, while overemphasizing performance incentives may have a crowding out effect. The incentive effect of being selected for the talent plan on the achievement motivation of high-level talents is significant. While continuing to promote the support methods of the talent plan, we should face the drawbacks and plan systematically.

In the process of promotion, new energy vehicles are facing the problem of market failure, which is not conducive to the long-term healthy development of the new energy vehicle industry and will also lead to inefficient resource allocation. Therefore, in order to realize the rational allocation of resources and promote the orderly development of new energy automobile industry, the government needs to issue a series of incentive policies. The influence of incentive policy on the promotion and application of new energy vehicles from the perspectives of single policy effect, policy synergy effect and intermediary effect, and deeply studies the nonlinear relationship between incentive policy and the promotion and application of new energy vehicles was analyzed. According to the empirical results draws the following conclusions. Subsidy policy, charging infrastructure and government purchase can significantly promote the popularization and application of new energy vehicles. The greater the population, the higher the income level and the more serious the environmental pollution, the greater the popularization and application of new energy vehicles. There is an inverted U-shaped relationship between government purchase and the promotion and application of new energy vehicles. The R&D innovation ability of enterprises plays an intermediary role between the incentive policy and the promotion and application of new energy vehicles. There are regional differences in the implementation effect of subsidy policy. In the first batch of pilot cities, the effect of subsidy policy is no longer obvious, and even has a negative impact on the promotion and application of new energy vehicles. In the second batch of pilot cities, subsidy policy can still significantly promote the promotion and application of new energy vehicles. The subsidy policy can significantly promote the popularization and application of pure electric vehicles, but it has a negative effect on the popularization and application of plug-in hybrid vehicles and fuel cell vehicles. Finally, according to the research results provides relevant policy suggestions for promoting the popularization and application of new energy vehicles.