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.

Turpan City is an important hub of the Silk Road and a historical city, with its rich natural and geographical advantages, has seen the culture and tourism industries play a central role in the economic development of Turpan City in recent years. The pursuit of high quality economic and social development has become more urgent with the implementation of the strategy of rural revitalisation. Taking the ethnic minority settlement area of Turpan City as the research object, the impact of economic and social development in Turpan City is analysed from the perspective of cultural and tourism integration based on the panel data of Turpan City from 2013 to 2022. The results show that the improvement of the degree of cultural and tourism integration can effectively promote the development of Turpan City's economy. Gaochang District, Shanshan County, and Tokon County differ in terms of resource distribution, geographic environment, and level of economic development, and with regard to the regional differences, the effect of the degree of cultural and tourism integration on the economy of Gaochang District is more obvious than that of Shanshan County and Tokon County.

Using new improved entropy Right-TOPSIS(technique for order preference by similarity to ideal solution)model, Chinese manufacturing high quality development level from 2012 to 2020 was evaluated, the dimensions were analyzed, and the timing evolution characteristics of manufacturing development of high quality were summarized. Spatial analysis method was used to study the spatial distribution characteristics and evolution trend, and with the help of the Thiel index and its decomposition method, the development of the manufacturing high quality regional gap was studied. The results show that the overall level of high-quality development of China’s manufacturing industry is increasing, in the region, from the stability of the central region, the western region and the eastern region, from the spatial evolution analysis, there is some spatial agglomeration, from the regional gap, the overall gap of the manufacturing industry is increasing and then decreasing, and the regional difference is the main source of regional differences, and the eastern region is the main contributing region of the regional difference.

With the rapid development and transformation of the global economy, digital inclusive finance, as an important direction of new quality productivity, has a profound impact on the traditional mode of financial services and the vitality of regional markets, and provides new impetus and possibilities for the progress of urban technological innovation. Using the data of provincial level from 2011 to 2021, the two-way fixed effect model was used to empirically study the relationship between digital inclusive finance and urban technological innovation, and further analyze its mediating effect from the perspective of industrial structure. The results show that digital inclusive finance significantly promotes urban technological innovation, mainly by improving the industrial structure to enhance the urban innovation capacity. Based on the conclusions, some suggestions are proposed to help further anchor the goal of building a financial power and solidly promote high-quality economic development.

With urban digital transformation accelerating, the role of smart property management in community governance becomes increasingly prominent. As a pioneer in smart property management, Shanghai is enhancing the community health evaluation system through digital means. However, the current system faces challenges in adaptability, accuracy, fairness, and deep analysis, requiring urgent optimization. This study analyzed the issues in the existing evaluation system and proposed optimization strategies. Flexible and personalized evaluation standards should be constructed to suit different community types, ensuring comprehensive and accurate assessments. Targeted evaluation methods should be adopted, focusing on residents’ subjective experiences and satisfaction to align scores with actual perceptions, thus improving fairness and comparability. Data analysis and mining capabilities should be strengthened to inject new impetus into grassroots community governance. By optimizing Shanghai’s evaluation system, other cities are provided with a reference to advance the digitalization of community governance, enhance residents’ quality of life, and achieve sustainable social development.

The current situation and challenges faced by local research institutes in the field of technology transfer was studied, and the urgent need for establishing a performance evaluation system was elaborated. The findings revealed prevalent issues such as mismatches between research outcomes and market demands, shortages in talent for commercialization, inaccuracies in technology readiness level assessment, and weaknesses in capital operation mechanisms. In response to these challenges, a evaluation system was developed, encompassing critical dimensions including technology readiness, market adaptability, economic benefits, social impact, and innovation drive. Further validation through case studies demonstrated the system's significant effectiveness in enhancing the efficiency and quality of technology transfer, optimizing resource allocation, motivating researchers to actively engage in commercialization activities, and boosting regional economic development and innovation capabilities.

Based on panel data from 11 provinces in the Yangtze River Economic Belt from 2012 to 2021, the impact and mechanism of financial support for agriculture on farmers' income was empirically analyzed using spatial econometric models. It is found that financial support for agriculture has a significant promoting effect on farmers' income through the accumulation of rural human capital, and there is a significant positive spatial spillover effect. Relevant policy recommendations are proposed to expand the scale of fiscal support for agriculture, accelerate the formulation of policy measures based on spatial spillover effects, and improve the efficiency of the use of fiscal support for agriculture funds.

Selecting the panel data of Yiwu City for from 2015 to 2023, gray correlation analysis was applied to explore the effect of the dry port industry on the city’s economy. The results show that there is a high degree of correlation between Yiwu’s dry port industry and the city’s economic development, and Yiwu port’s dry port industry has a promotional effect on the growth of the economy of the city to which it belongs. On the basis of this research conclusion, the corresponding development strategy with pertinence, feasibility and in line with the provincial situation are put forward, in order to provide reference and reference for the construction planning of dry port and the direction of regional economic development of the relevant cities.

Based on the bibliometric software CiteSpace, the knowledge graph visualization analysis of 1 537 articles on supply chain network optimization sourced from the core library of the Web of Science (WoS) database from 2001 to 2023 was conducted to explore the research overview, hot spots and trends. It is found that there are many researchers and institutions in this field, and Chinese scholars have made significant contributions. The hot topics in this field are robust optimization, facility location, sustainability, etc. The future trend is multi-objective optimization, construction of sustainable supply chains and combine new technologies such as 5G networks, block chain, and a.jpgicial intelligence to help supply chain network optimization.

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.