Based on China's Land Economic Survey (CLES) data, empirical analysis was conducted on the impact of internet use on farmers' land transfer behaviors using models such as Eprobit, Eregress, and PSM-DID. The 4-way counterfactual total effect decomposition method was employed to verify the "synergistic" mechanism between the internet and social relationship networks. The research findings are as follows. Internet usage can further optimize land factor allocation and facilitate farmers' land transfer. Mechanism analysis indicates that strong social networks only have an intermediary effect, while weak social relationship networks have both intermediary and interactive effects, implying the transformation of the agricultural land transaction market. Further analysis reveals that the synergy between the internet and weak social relationship networks can effectively promote the transaction connection between small farm entities and new management entities. Internet usage leads to the long-term and contractualization of land market transactions. The results show that internet usage is of significant importance in weakening the constraints of social relationship networks and promoting the effective connection between small-scale agricultural economies and modern agriculture.

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.

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.

Advanced scientific and technological advancements, particularly artificial intelligence (AI), are recognized as the driving force behind the emergence of new quality productive forces. The paths and mechanisms of influence between AI and productivity, however, remain unclear. A comparison between new quality productive forces and traditional productivity was first conducted, followed by an elucidation of the characteristics of new quality productive forces elements at the employee, enterprise, and industry levels, along with the application characteristics of AI. At the employee level, the “automation-enhancement" pathway was studied, along with Al's role in capability integration, learning, and reconfiguration. At the enterprise level, Al's role in enterprise functions such as marketing, innovation, and strategic decision-making is studied. Also, the structuring, restructuring, and utilization of resources are investigated. Additionally, the research delves into Al's role in shaping industry-level dynamics via the industrial, innovation, capital, and talent chains, and the mechanisms of labor substitution, spillover integration, technological innovation, and ecological synergies. Recommendations are made to support new quality productive forces development in the short, medium, and long terms. Knowledge on AI's role in new quality productive forces is expanded by the exploration, and discussion with related research is fostered.

Digital technology innovation is the technical support for the development of the digital industry and has an important impact on economic and social development in the digital era. International Patent Classification (IPC) at the level of subgroups was used to construct the quantity and quality of digital technology innovation. Based on this, the Outline of National Informatization Development Strategy issued by the Central Committee of the Communist Party of China and the State Council which is the most representative national digital industry policy was taken as the entry point. The panel data of China's listed companies from 2011 to 2020 was used to empirically test the relationship between digital industry policy and enterprise digital technology innovation. The results are as follows. The national digital industry policy has a significant effect on the quantity and quality of digital technology innovation of micro-entities. Heterogeneity test results show that the above enhancement effect is only established in private enterprises, large-scale enterprises and high-tech enterprises. The mechanism test shows that easing financing constraints, relaxing industry access and promoting enterprise digital technology investment are the three channels which national policy incentive affect digital technology innovation. It is helpful for the government to formulate reasonable policies to encourage enterprise digital technology.

The construction of high-standard cropland can improve the quality of arable land, which is a strategic base for guaranteeing national food security. Based on the quasi-natural experiment of the high-standard cropland construction policy, the effect of high-standard cropland construction policy on the decision-making of grain cultivation on farmland was examined by adopting the continuous difference-in-differences method. The result shows that the high-standard cropland construction policy significantly increases the the proportion of grain sown area and produces a "grain-oriented" effect. The conclusion still holds after a series of robustness tests. The dynamic effect analysis reveals that as the construction of high-standard cropland continues, its effect of promoting the "grain-oriented" effect on cropland continues to increase. Heterogeneity analysis shows that the high-standard cropland construction policy is more effective in promoting the "grain-oriented" cultivated land in plain areas, higher agricultural dependent areas, and larger cultivated land areas. Mechanism analysis indicates that the high-standard cropland construction policy influences the "grain-oriented" cultivated land by land scaling, service scaling and technological progress. Further research illustrates that the development of cooperatives and agricultural credit investment can strengthen the promotion effect of the high-standard cropland construction policy on the "grain-oriented" cultivation of arable land.

With energy consumption and carbon emissions continue to increase. The climate issues are becoming more severe. Many environmental regulation policies have been promulgated to address the challenges of environmental degradation. Carbon trading policy, as an important means, promotes green technology innovation in enterprises through market forces to reduce carbon emissions. As the main emitters of carbon in China, high-energy-consuming enterprises bear tremendous pressure and challenges for carbon emission reduction. And there is an urgent need to increase investment in green technology innovation to adapt to the market environment. To explore the impact of carbon trading policies on green technology innovation in high-energy-consuming enterprises, a difference in differences model was constructed. Panel data of A-share listed companies in high energy consuming industries from 2000 to 2022 were used to empirically test the relationship between carbon trading policies and green technology innovation of high energy consuming enterprises. The results indicate that carbon trading policies can significantly promote green technology innovation in high energy consuming enterprises. In addition, the research samples were grouped based on different dimensions to further explore the heterogeneity of policy impacts in different contexts. The findings reveal that carbon trading policies have a stronger promoting effect on green technology innovation in stronger enterprises. Compared to green invention patents, carbon trading policies have a greater impact on the number of green utility model patents obtained. When enterprises have a higher proportion of institutional investor shareholding, their green technology innovation is more significantly influenced by carbon trading policies. And enterprises located in key import and export provinces and cities in China are more affected by carbon trading policies than those in other regions.

Promoting digital transformation of enterprises is an inevitable requirement for achieving high-quality economic development. Command-and-control environmental regulations represented by low-carbon city pilot policies play an important role in the construction of "digital China". Based on the pilot policy of low-carbon cities as the entry point, data from China' A-share listed companies from 2007 to 2021 was used to test the impact and mechanism of command-and-control environmental regulation policies on enterprises' digital transformation by the staggered differential model. The results show that the implementation of pilot policies in low-carbon cities can effectively force enterprises to transform digitally by reducing carbon emission level, promoting green technology innovation, easing financing constraints and adjusting from directors' overseas background. The conclusion is still valid after a series of robustness tests. The heterogeneity analysis shows that the policy effect will depend on the difference of industry type and category of employment. Further analysis shows that while promoting digital transformation, the policy can also promote the expansion of enterprises and the economic development of pilot areas. The economic contribution of pilot cities is 0. 0184%. The research conclusions of this article have important implications for how the government use macro-control means to force enterprises to digital transformation and realize the coordinated development of "green" and "digital" economy.

Anchoring on the shareholding structure, the A-share listed companies in Shanghai and Shenzhen in China from 2013 to 2019 was taken as a research sample, and the impact of reverse mixed ownership reform on the "greenwashing" behavior of private enterprises was discussed. Results show that by enhancing the financing capacity of enterprises, improving management's short-sighted behavior, and promoting enterprise' sense of responsibility for environmental protection, reverse mixed ownership reform can significantly alleviate the worsening problem about "greenwashing" behavior of private enterprises. The governance effects of state-owned equity was analyzed deferentially, the results show that reverse mixed ownership reform has a more significant inhibitory effect on selective disclosure compared to expressive manipulation. The quadratic term of reverse mixed ownership reform was introduced into the research to verify the existence of an optimal shareholding ratio for state-owned equity. Heterogeneity analyses revealed that governance effects of reverse mixed ownership reform in different contexts in terms of the nature of the industry, the degree of corporate disclosure, and corporate reputation. It puts forward relevant suggestions from three aspects, including that deepening the process of reverse mixed ownership reform in private enterprises, improving laws and suggestions on information disclosure, and strengthening the construction of corporate teams.

Innovation is crucial for achieving high-level self-reliance and accelerating the development of new productive forces in the latest development stage. However, due to the high risk and long-term nature of innovation, not all managers, as the leaders of enterprises, can maintain the persistence required for innovation. There is limited research systematically revealing how managerial myopia affects ambidextrous innovation in enterprises. Based on the upper echelons theory and from the perspective of ambidextrous innovation, a panel dataset of 2139 A-share listed manufacturing companies in China from 2007 to 2020 was constructed. Analysis techniques were used to build an index of managerial myopia. The impact of intrinsic managerial myopia on the performance of exploratory and exploitative innovation is investigated empirically. Additionally, the mediating role of ambidextrous innovation investment and the contingent influence of managerial incentives on this process were analyzed. The empirical results demonstrated that managerial myopia significantly negatively impacts the performance of both exploratory and exploitative innovation. Managerial myopia inhibits the investment in exploratory and exploitative innovation, thereby suppressing the output of ambidextrous innovation performance. Equity incentives mitigate the negative impact of managerial myopia on ambidextrous innovation performance, while compensation incentives amplify the negative impact of managerial myopia on exploratory innovation performance and mitigate the negative impact on exploitative innovation performance. The findings of the research extend the analysis of the behavioral consequences and mechanisms of managerial myopia on enterprise innovation. It would provide important theoretical and practical implications for further optimizing enterprise innovation governance mechanisms, incentivizing and guiding enterprises to enhance their independent innovation capabilities, and thereby accelerating the formation and development of new productive forces.