Explore the vast range of titles available.

The wide application of artificial intelligence (AI) technology is reshaping the production methods and governance models of agricultural enterprises, laying a solid foundation for them to achieve sustainable development goals. This study examines 245 agricultural listed enterprises on China’s A-share market from 2012 to 2023 as the research sample and uses the double fixed effects model to investigate the impact and mechanism of AI technology on the sustainable development performance (SDP) of agricultural enterprises. Research has found that AI technology has significantly enhanced the SDP of agricultural enterprises. After tests for endogeneity and robustness, the conclusion remains valid. Mechanism tests show that AI technology can enhance the SDP of agricultural enterprises by promoting green innovation and improving the quality of internal control. Through the analysis of moderating effects, it is found that both the information technology background of senior executives and their green background can positively moderate the relationship between AI technology and the SDP of agricultural enterprises. Heterogeneity tests revealed that AI technology has a more significant effect on enhancing the SDP of non-state-owned, small and medium-sized, and processing and manufacturing agricultural enterprises, alongside those in regions with high environmental regulations. The research provides empirical evidence for AI empowering agricultural enterprises’ sustainable development and offers targeted actionable insights to advance agricultural modernization and green transformation.

Facing the pressure of green transformation, studying the relationship between government subsidies and the environmental performance of agricultural enterprises has significant theoretical value and practical significance for achieving sustainable agricultural development. Based on the micro data of 283 A-share listed agricultural enterprises in China from 2013 to 2023, this paper empirically analyzes the impact of government subsidies on the environmental performance of agricultural enterprises and its mechanism. The results show that there is an inverted U-shaped relationship between government subsidies and the environmental performance of agricultural enterprises, that is, when the government subsidies are within a certain scale, increasing government subsidies will have a positive impact on the environmental performance of agricultural enterprises. When the government subsidy reaches a certain scale, increasing the government subsidy will have a negative impact on the environmental performance of agricultural enterprises. External media attention (EMA) and internal control level (IC) play mediating roles in the impact of government subsidies on the environmental performance of agricultural enterprises. Heterogeneity analysis showed that for different types of subsidies, R&D subsidies and environmental protection subsidies had an inverted U-shaped impact on the environmental performance of agricultural enterprises. This study provides useful implications for improving methods of issuing government subsidies and enhancing the driving force of agricultural enterprises to carry out sustainable development actions.

The cybereconomy provides new momentum for the traditional economy, adds new formats and models, and is the main momentum for China’s economic progression. Therefore, the cybereconomy level of 30 provinces in China from 2011 to 2019 is measured by constructing a comprehensive index system and an econometric model to explore the impact of the cybereconomy on the marketization process and its internal mechanism. The results show that the cybereconomy has significantly promoted the development of the marketization process, and government intervention has inhibited the promotion of the cybereconomy to the marketization process. The research result has crucial academic and realistic significance to accelerate marketization, enhance the overall innovation ability, and build a modern socialist country.

So as to explore the mediator effect of green technologic innovation on the impact of digital economic on circulation industry, based on the panel data of 30 provinces in China from 2011 to 2019, this paper constructs a panel fixed effect model and a mediator effect model for empirical analysis. The results show that the digital economic significantly boosts the advance of the circulation industry; through the mediator effect model test, it is found that the digital economic can boost the advance of the circulation industry through green technologic innovation, and the mediator effect is 57.28 %. Finally, from the aspects of strengthening green technologic innovation, talent support, improving digital economic infrastructure and policy support, this paper puts forward some suggestions on promoting the advance of circulation industry by digital economic.

With the progress of science and technology, artificial intelligence plays a vital role in the procedure of high quality economic growth. By the Bartik instrumental variable method, this paper research the level of artificial intelligence in 30 provinces and propose an framework to examine the correlation between artificial intelligence technology and economy. The results show that artificial intelligence technology has significantly promoted high quality economic growth, and the level of urbanization has enhanced the role of artificial intelligence in hoisting high-quality development. This result helps to clarify the economic effects of artificial intelligence and offers a theoretical reference for improving the science and technology evaluation system and data for studying the effect between artificial intelligence and economy.

China’s economic development is strongly constrained by existing resources, and the implementation of low-carbon economy and sustainable development requires enterprises to improve their Innovation and R&D capability. As an important participant in the decision-making and execution of the company, the managerial discretion of top managers is related to the overall direction of the organization Taking Shanghai and Shenzhen A-share listed companies from 2009 to 2020 as the research objects, this paper empirically studies the choice of managerial discretion on enterprise innovation mode, and constructs the mediation model of corporate governance level. The results show that the promotion of executive decision-making power can increase the investment in exploratory innovation but weaken exploitative innovation, and the level of corporate governance plays a partial mediating role in the influence of managerial discretion on exploratory innovation. This paper elaborates the research on the influence of managerial discretion on enterprise innovation mode, which is helpful for enterprises to adjust the size of managerial discretion according to their actual needs, pay attention to the level of corporate governance, and make enterprises better control the choice of dual innovation.

This paper empirically investigates the effects of the green credit policy (GCP) on the total amount, quality, and quantity of green innovation in renewable energy enterprises (REEs) by employing the difference-in-differences (DID) model. Analyses examining the channel, moderating, and economic effects are conducted using a sample of Chinese listed companies between 2008 and 2021. The results indicate that the GCP significantly promotes the total amount, quality, and quantity of green innovation in REEs. This impact on REEs is mainly through a reduction in green agency costs and an increase in research and development (R&D) spending. In addition, the promotional effects are more predominant in firms subjected to intensified environmental enforcement and benefiting from increased governmental subsidies. Moreover, this positive impact is particularly evident in regions with less environmental pollution and lower economic development. Overall, the adoption of green innovation in REEs, facilitated by the GCP, substantially enhances not only the enterprise value but also the environmental performance of the participating companies. Our findings offer a novel perspective for research related to green innovation within the context of the GCP. This could further contribute to the realization of green development strategies and the construction of a low-carbon society.

Self-occupaied operation is a common mode of operation in Chinese management, and self-occupaied innovation can help maintaining their core competitiveness and achieving a favorable position. For the purpose of exploring the influence on innovation input, this paper uses the data of A-share listed objects in China from 2016 to 2019, and uses the method of data analysis to perceive the effect on innovation input. The results show that self-occupaied objects are less willing to innovate. Further analysis shows that income constraints strengthen the relationship between objects and relative connections innovation input. Under income constraints, self-occupaied object is better tend to reduce innovation input. This paper improves the research on the innovation and has certain reference significance to the innovation management in China.

In the context of sustainable development and environmental protection, green innovation is an inevitable choice for enterprise development. Previous studies mainly discussed green innovation from the organizational level, but neglected the individual green innovation behavior. From the perspective of \"leadership behavior\", this paper explores the mechanism of ethical leadership on employees' green innovation behavior by using social learning theory and social identity theory. Thus a theoretical model is constructed, which includes four variables: ethical leadership, employee green innovation behavior, green organizational identity and strategic flexibility. It is proposed that ethical leadership not only positively affects employee green innovation behavior, but also transmits through the mediation role of green organizational identity. At the same time, strategic flexibility plays a moderating role between ethical leadership and green organizational identification. We hope to have a further understanding of the formation mechanism of employees' green innovation behavior.

Company performance can directly reflect the operation’s status, which has always been one of the central topics. Starting from the CEO power, this paper introduced the corporate innovation strategy and ownership concentration, established the corresponding research model, and studied the relationship between them. In the model design, the company performance was taken as the dependent variable, CEO power and corporate innovation strategy and ownership concentration was taken as independent variables, then the data processing software was used to establish a regression model. Through the model test, it is found that there is a positive correlation between CEO power and corporate performance, and the corporate innovation strategy can play an intermediary role in this relationship while ownership concentration can play a moderating role. This paper further improved the relevant research of corporate performance, and had certain reference significance for the operation.