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.

The high-quality development of agricultural enterprises lays a solid foundation for rural revitalization and promotes common prosperity among farmers, while the enterprises have financial needs for their own development. The data of Chinese agricultural enterprises from 1998 to 2015 with information on financial licenses was matched to explore the impact and mechanisms of banking competition on the productivity growth of agricultural enterprises. The results show that banking competition improves the productivity of agricultural enterprises, and the conclusion remain robust after considering measurement errors andendogeneity issues. The analysis of the impact mechanism shows that banking competition improves the productivity of agricultural enterprises by promoting loan availability. Heterogeneity analysis shows that competition in the banking industry has a stronger promoting effect on the productivity of small and medium-sized enterprises compared to large enterprises, and a greater promoting effect on the productivity of established enterprises compared to new enterprises. Banking competition has a greater promoting effect on the productivity of private enterprises compared to state-owned and foreign-funded enterprises. Meanwhile, factors such as asset size, current assets, capital intensity, and debt levels have a significant impact on productivity. These findings provide policy implications for optimizing the rural financial system and promoting rural industrial revitalization.

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.

Contract farming is an effective approach for integrating small farmers into modern agriculture and serves as the dominant form for the industrialization of agriculture in China. A theoretical analytical framework for the impact of contract farming on the income of livestock farmers was constructed. Utilizing micro-survey data from 610 beef cattle farmers and employing propensity score matching, empirical tests were conducted to examine the influence of contract farming on farmers' income and its operating mechanisms. Participation in contract farming significantly enhances the income levels of livestock farmers. Both sales contracts and production management contracts significantly contribute to increased farmer income, with production management contracts having a more substantial impact. Group difference analysis reveals heterogeneous effects of contract farming on income for different groups based on factors such as farming duration, scale, and training. Farming costs and technological aspects play a significant mediating role in the relationship between contract farming and farmer income, promoting income growth through scale and technical efficiency. Farming relay has a positive regulatory role in the process of contract farming improving farmer income. Governments should actively create favorable conditions to encourage and guide the development of contract farming. Benefiting from the characteristics of farmers' resource endowment, mechanisms for profit distribution between companies and farmers should be improved. Through the "learning by doing" effect, the promotion and application of new technologies should be advanced. In contract farming, the promotion of a relay-style farming operation, with separate breeding of parent livestock and centralized breeding and fattening of offspring, is emphasized to facilitate the sustainable and high-quality development of the livestock industry.

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.

In order to explore the relationship among environmental regulation, the transformation of resource-based cities, and spatial spillover of resources, a semi-parametric threshold spatial Durbin model (STSDM) was constructed based on data from 113 resource-based prefecture-level cities from 2011 to 2021, starting from the perspective of spatial spillover. The nonlinear relationship between environmental regulation on the transformation performance of resource-based cities and the impact of asymmetric spatial spillover is explored. The results show under the linear assumption, environmental regulation is not conducive to improving the transformation performance of cities. However, under the nonlinear assumption, environmental regulation is beneficial to improving the transformation performance of resource-based cities in the early stage. It has a non-linear long-term characteristic with a "diminishing marginal effect", and the partial derivative plot shows a weak "U-shaped" feature. There is asymmetry in the spatial spillover effects on the transformation performance of resource-based cities. The higher the stage of environmental regulation in resource-based cities, they can obtain the fewer spatial spillover bonuses for the transformation of urban performance. Based on this, policy suggestions are put forward, such as adapting environmental regulation policies to local conditions and establishing a long-term environmental protection mechanism.

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.

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.

"Lucid waters and lush mountains are invaluable assets." Green consumption and sustainable development has become an important issue for economic and social development, how consumers practice green consumption and how to form green consumption willingness for green products is the key area direction of green consumption research. Therefore, a model on the response mechanism of green consumption intention was established based on the stereotype content model and the interactive effect of brand personification (competence personification vs. warm personification) and green product types. The main findings are as follows. Brand personification interacts with product types to influence consumers' green consumption intention. For practical products, compared to warm personification, competence personification is more likely to stimulate consumers' green consumption intention. For hedonic products, compared to competence personification, warm personification can more stimulate consumers' green consumption intention. Green perceived quality and green perceived value mediate the interactive effect of brand personification and product types on green consumption intention. Consumption motivation monitors the interaction between brand personification and product types on green consumption intention. Based on the above results, it enriches the related research on brand personification, providing practical reference value for the selection of enterprise brand personification, the promotion of green products, and consumers' green consumption.

The construction of green innovation ecosystem is one of the most effective ways to deal with global ecological problems. Accurately grasping the symbiotic evolution law and cultivation mechanism of green innovation ecosystem is of great significance to improve the level of green innovation and sustainable economic and social development. Therefore, the symbiotic evolution model, process, stability and operation mechanism of green innovation ecosystem are studied based on ecosystem theory, symbiosis theory and evolutionary game theory. The aim is to provide theoretical support and decision-making reference for enterprises and related departments to formulate strategies and policies to promote the development of green innovation. The results show that the symbiotic evolution model and stability of the two populations in the green innovation ecosystem are affected by the symbiotic coefficient of the interaction between the two populations and the upper limit of their respective population size. When the symbiosis evolution of green innovation ecosystem reaches equilibrium, different symbiosis models will be formed, among which the reciprocal symbiosis model is the most ideal state of system symbiosis evolution. The symbiotic development of green innovation ecosystem is based on trust mechanism, and realizes symbiotic cycle under the action of sharing mechanism, competition and cooperation mechanism, partner selection mechanism and value distribution mechanism.