Taking A-share listed companies in China from 2009 to 2022 as a research sample, the relationship between ESG(environmental, social, and governance) practice and new quality productivity of enterprises was explored. It is found that strengthening ESG practice can significantly improve new quality productive forces of listed companies in China, and the conclusion is still valid after the robustness test. Enterprise ESG practice can help to improve new quality productive forces by alleviating financing constraints, reducing enterprise risks and enhancing external supervision. The results of the economic consequences test indicate that enhancing the new quality productivity of enterprises has a positive impact on market value and operating gross profit margin.

Grounded theory was used to analyze the influencing factors of Chinese medicine enterprises applying for FDA(Food and Drug Administration) certification in the United States, and a theoretical model was constructed to provide reference for Chinese medicine enterprises to make scientific strategic decisions. Interview data from strategic decision-makers of companies that have applied for and have not applied for US FDA certification was collected on CNKI, and then root code. After open coding, spindle coding, selection coding, and comparative verification, 28 open coding, 9 categories, and 5 main categories were finally sorted out, and a theoretical model was constructed based on the analysis of the logical relationship between each category. The strategic decision of traditional Chinese medicine enterprises to apply for FDA certification is based on a consistent understanding of FDA standards and the modernization and internationalization of traditional Chinese medicine. It not only aims to enter the European and American markets as a drug, but also promotes enterprise upgrading, enhances the modernization level of the traditional Chinese medicine industry, and achieves sustainable development during the application process.

Taking A-share listed companies from 2008 to 2021, it is found that the application of AI has a significant positive impact on the outward foreign direct investment(OFDI), and the conclusion is still established after relevant tests. The results show that the impact of AI application on enterprise OFDI is mainly realized through three ways: improving enterprise total factor productivity, reducing financing constraints and increasing overseas executives. For enterprises in the eastern region, state-owned enterprises and non-high-tech enterprises, the impact is more obvious.Empirically verifies the positive role of AI application for Chinese enterprises in opening up to the outside world, which has important enlightenment to promote enterprises to better “go out”.

Selecting data from A-share listed companies from 2018 to 2022, the impact of companies’ degree of “greenwashing” on stock price collapse risk was empirically analyzed. The research findings indicate a significant positive correlation between the degree of “greenwashing” and stock price collapse risk, meaning that the higher a company’s “greenwashing” score, the higher the risk of stock price collapse. Additionally, the proportion of institutional investors and analyst coverage plays a moderating role in this relationship, as the proportion of holdings and level of analyst coverage increase, they mitigate the collapse risk brought about by “greenwashing”. Furthermore, through heterogeneity tests, it is observed that the positive correlation between “greenwashing” scores and stock price collapse risk is more pronounced in private enterprises and non-manufacturing companies.

With the continuous advancement of urbanization, urban industrial transformation and the implementation of urban renewal actions, the focus of urban development has further emphasized the improvement of quality and quantity. As one of the areas with the longest development in the entire city, the old industrial area has rich industrial heritage, resources and environment in the factory area, which is no longer suitable for large-scale transformation and reconstruction. How to build a reasonable renewal and transformation model for old industrial areas is one of the practical problems that need to be solved in the context of urban renewal in various cities. Taking Lanzhou General Machinery Factory as an example, based on the theory of urban acupuncture, the historical evolution was grasped, and the analysis of current problems was conducted. Four renewal steps are proposed, including breaking the meridians, replenishing qi and activating blood circulation, combing the meridians, and harmonizing the internal organs, providing new ideas and methods for the renewal of old industrial areas in cities.

As an important part of the strategy of comprehensively promoting rural revitalization, it is crucial to give full play to the organizational aggregation role of village cadres and effectively guide the participation of new social capitals formed mainly by new agricultural management subjects. Based on the questionnaire survey data from 19 provinces, the mechanism of village cadres in promoting the willingness of new social capitals to participate in rural construction actions was analyzed by using a binary Logit model. The results show that village cadres can significantly promote the willingness of new social capital to participate in rural construction through the role of organizational aggregation in shaping their own credibility and collective consensus formation. In terms of effect, the role of village cadres has a significant positive impact on the willingness of new social capital to participate in projects that are closely related to their personal interests, as well as on the willingness of new social capital subjects in less-developed areas.

The Hebei provincial government actively supports the participation of social capital in the construction of public projects, but there are significant differences among prefecture-level cities, mainly due to the influence of business environment factors. By collecting the business environment data of 11 prefecture-level cities, fuzzy sets qualitative comparative analysis (fsQCA) method was used to integrate seven anthems from the three levels of government, market, legal and policy environment, and explore the influence of the combination of factors on social capital’s participation in public project construction. It is found that the combination of these factors significantly affects social capital participation. The research conclusion shows that it is recommended that local governments strengthen the financial support for social capital to participate in public projects, and ensure the operation of project funds by broadening the sources of funds, strengthening supervision, personalized policy support and cooperation with financial institutions. At the same time, it is also necessary to pay attention to the boundaries of government supervision, avoid excessive market decision-making, and give social capital a certain degree of discretion.

Changzhou has a complete manufacturing industry system and over 60 000 industrial enterprises. Against the backdrop of increasingly complex and challenging domestic and international economic environments, small and medium-sized manufacturing enterprises in Changzhou are facing various difficulties and challenges in their production and operation. It is necessary to take technological innovation as the guide, actively implement the “Intelligent transformation digital transformation networked connectivity”, and plan ahead for digital infrastructure construction. Combining “external introduction” and “internal education” to build a service provider resource pool,and serve enterprises in cloud computing, data utilization, diagnosis, and intelligence. Create an industrial ecological service circle, combine “point line and surface”, demonstrate and lead, and take various measures to create a typical integration of data and reality. Cultivate new quality and productivity of Changzhou’s manufacturing industry, and build a modern industrial system with advanced intelligent manufacturing industry as the backbone, in order to further promote the high-quality development of Changzhou’s manufacturing industry.

Shandong Province is a key implementation area of China’s rural revitalization strategy, and it is of great significance how to optimize the development system of digital inclusive finance so as to achieve high-quality development of agriculture. The evaluation index system of agricultural high quality was constructed, adopting the panel data of each prefecture-level city in Shandong Province from 2012 to 2021, the relationship between the two was empirically analyzed by using the two-way fixed-effects model and the spatial autoregressive model. The results show that the digital financial inclusion has a significant role in promoting the development of agricultural high quality, and the role of inland areas has a more significant effect. In the economic distance perspective, the digital financial inclusion index has a significant role in promoting the development of agricultural high quality. Under the perspective of economic distance, the positive spatial spillover effect of digital financial inclusion index on the level of high-quality agricultural development is obvious.

The failure of Sci-Tech innovation financial market mechanism needs to be remedied by the government. By using AHP-DEA(analytic hierarchy process-data envelopment analysis) method, the government performance of Sci-Tech innovation financial in Hangzhou from 2007 to 2021 was analyzed. The results show that the government promotion efficiency of Sci-Tech innovation financial in Hangzhou is W-shaped, and the scale efficiency is relatively high. The promotion performance of the government has been increasing year by year, but stagnated from 2012 to 2013, mainly because the growth of input and output promoted by the government slows down or falls, and the efficiency was low. The government of Hangzhou should further increase the scale, optimize the structure, innovate the modes of input and increase the input and output of science and technology innovation to improve the performance.