In order to unify the standard system of smart airport construction and evaluate the development level of smart airport,the evaluation model of smart airport development level based on game combination empowerment-cloud object element is proposed, which will avoid the bias in the process of empowerment and is used to solve the problem of ambiguity and randomness in the evaluation indexes. The model was applied to an airport in Guangdong Province to evaluate the development level of smart airports, and the results show that the evaluation results of the indicators of the development level of smart airports derived from the model are basically consistent with the results of the field visit research and the actual situation, and the evaluation model has the practicability and validity, and it can provide a new way of thinking for the evaluation of the development level of smart airports.

As an important area of ecological protection and economic development, Dongting Lake Ecological Economic Zone plays a key role in the sustainable development of the Yangtze River Economic Belt. Based on the data of land use and energy consumption, the carbon income and expenditure of county land use in the economic zone from 2005 to 2020 were calculated. Based on the carbon balance analysis and evaluation system, the counties in the economic zone were divided into four types of carbon balance functional zones. The results show that the carbon emission of land use in Dongting Lake Ecological Economic Zone showed a significant growth trend.The carbon emission of land use in the economic zone shows the distribution characteristics of high in the east and low in the west, and the carbon absorption is high in the west and low in the east. Its distribution pattern is closely related to the land use level and energy consumption structure.

Digitalization and greening are the two major trends of the new round of scie.jpgic and technological revolution and industrial change, and they are also two epochal characteristics of the new quality productivity. Based on the panel data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2022, how digital transformation of enterprises empowers green innovation was studied. It is found that there is a significant promotion effect of digital transformation of enterprises on green innovation, which is more obvious for state-owned enterprises, low-financing enterprises, high-technology enterprises, non-resource city enterprises, enterprises in heavy pollution industry, and large-scale enterprises. The results of the mechanism of action suggest that digital technology can improve green innovation capacity by enhancing the transparency of corporate information and increasing R&D investment.

The relationship between digital transformation and audit fees was empirically examined using a sample of Shenzhen and Shanghai A-share listed companies. It is found that digital transformation leads to a significant increase in audit fees.Good internal control and firm size can negatively modulate the positive correlation between digital transformation and audit fees.Heterogeneity analysis shows that the positive correlation between digital transformation and audit fees is more significant for non-asset-intensive firms, non-heavily polluted firms, and high-tech firms. The conclusions will be able to provide certain experience for enterprises to promote digital transformation and help the flourishing development of digital economy.

Taking China’s ChiNext listed companies as the research object, the data from 2019 to 2022 was selected to examine the relationship between social responsibility and technological innovation on firm performance, and the changes of this relationship between private and non-private enterprises was explored. The results show that there is a significant positive correlation between corporate social responsibility and corporate performance.There is an obvious positive correlation between technological innovation and firm performance.The higher the level of technological innovation of the enterprise, the stronger the positive correlation level of its social responsibility to the performance level of the enterprise. Compared with non-private enterprises, private enterprises can promote the relationship between the three more. The research conclusions can serve as a reference for the formulation of strategic decision-making for enterprises.

The evolution process of the national and local policy system for promoting the transformation of scie.jpgic and technological achievements was summarized and sort out. The shortcomings and bottlenecks of the domestic university scie.jpgic and technological achievement transformation system were investigated and condensed. The international paradigm and typical experience of the United States, Germany, and Israel in promoting the transformation of scie.jpgic and technological achievements through integrated innovation of production and research were analyzed systematic suggestions and countermeasures are proposed from four aspects: policy guidance, direction refinement, innovation team building, and factor aggregation and integration. which provide decision-making basis for the government and universities to formulate policies to promote the transformation of scie.jpgic and technological achievements.

To explore the current situation of scie.jpgic and technological talents in Liaoning Province and analyze the factors influencing their work intentions, survey data from a segment of these talents was utilized and a structural equation model was employed. This model examines intrinsic motivators such as salary expectations,family capital, career expectations, job satisfaction, and organizational commitment, alongside extrinsic factors like talent policies, living standards, and urban development, to determine their impact on work intentions. Ultimately, some strategies are proposed to enhance the work intentions of scie.jpgic and technological talents in Liaoning Province, thereby laying a solid foundation and providing robust impetus for the province’s economic transformation and digital economy construction, fostering sustainable and high-quality economic development.

The update and progress of generative a.jpgicial intelligence technology represented by ChatGPT has brought profound changes to human lifestyles and production methods. While providing convenience for humanity, it also has potential legal risks, such as leading to the leakage and abuse of personal privacy information, triggering a series of intellectual property infringement issues. Around these issues, explore the ownership of intellectual property caused by generative a.jpgicial intelligence products. If the ownership of intellectual property is not determined, it will inevitably affect the interests of multiple parties. Therefore, it is necessary to timely determine the subjects who enjoy rights, assume obligations, and bear responsibilities through the improvement of laws and regulations. At the same time, a regulatory system should be established to strengthen the supervision of the entire generation process, and a punishment mechanism should be established to increase the crackdown on infringement behavior. Multi subject comprehensive linkage governance should be implemented to balance the interests of various subjects and regulate various intellectual property issues caused by generative a.jpgicial intelligence, including ChatGPT.

Taking national laboratories, research centers of universities and enterprise research from four typical countries in Europe, America and Asia-Pacific region as the research objects. Through in-depth analysis of their industry distribution and regional layout, their successful experiences and innovative models were summarized. It is found that the success of foreign scie.jpgic research institutions largely benefits from clear national strategic guidance, industry-university-research’s closely integrated ecosystem, flexible and efficient resource allocation mechanisms, as well as careful planning and policy support for innovative regions. At the same time, foreign scie.jpgic research institutions attach great importance to cross industry cooperation, form industrial chain synergies, and rely on regional characteristic resources to create industrial clusters with global competitiveness. Based on the above analysis, a series of inspirations and suggestions for the industry layout and regional development strategy of scie.jpgic research institutions in China have been proposed, emphasizing the need to strengthen top-level design, balance the regional layout of scie.jpgic research institutions, carry out technology research and development that adapts to regional innovation and development, and fully guarantee the autonomy of scie.jpgic research institutions, support and lead China’s scie.jpgic and technological innovation and high-quality economic and social development.

Taking major science and technology project organization mode as the main line, comprehensive summary on the situation of major science and technology projects in Dongguan was conducted to analyze the problems and the insufficiency.In order to promote the development of science and technology innovation can assign high quality, learning from advanced city experience, some suggestions are put forward, including focusing on the municipal special scheduling mechanism, strengthening key areas of research and development projects for the basic point, the foothold, innovation organization and management mode for the breakthrough point, optimizing the service guarantee system for support dimension, gradually exploring to establish the characteristic of Dongguan science and technology project organization mode.