Based on the stakeholder theory, this paper takes the 2016 data of China’s A-share listed enterprises as a sample. It then uses SPSS 22 to conduct statistical analyses on the sample data to study the relationship between corporate social responsibility (CSR) and technological innovation investment, particularly the role of the atmospheric environment in regulating the relationship between the two. This paper shows that there is a significant positive correlation between CSR and an enterprise’s technological innovation investment. Further research has found that in the case of a poor atmospheric environment, the government’s environmental regulations have increased the operating costs of enterprises and weakened the intensity of technological innovation investment. However, when there is public pressure, CSR will improve. Consequently, the correlation between CSR and technological innovation investment is weak. In the case of a good atmospheric environment, enterprises do not need to increase their operating costs. To establish a good image and increase profitability, enterprises lean towards fulfilling their social responsibilities and enhancing their investment in technological innovation. This will also boost the positive correlation between CSR and technological innovation investment.

Employing a sample consisting of Chinese A-share listed companies, this study carries out an empirical research to investigate the influence path of political connections on enterprise environmental performance. The results show a strong positive association between political connections and corporate environmental performance, and green technology innovation plays the mediating role between them. In addition, public participation negatively moderates the relationship between political connections and corporate environmental performance. When the level of public participation is higher, the relationship between political connections and corporate environmental performance becomes weaker.

Digital technologies are shown to perform a vital role in developing a resource-efficient industrial base. The effective adoption of digital technologies can help reduce costs and improve the sustainability and flexibility of manufacturing industries. However, how digital technologies favor the transition towards manufacturing systems has not been analyzed in detail yet, so more conceptual and empirical investigation is required in this field. This study investigates the digital transformation trend in the manufacturing industry by combining the bibliometric method with life cycle mode and literature mining. An integrated data analysis system (IDAS) is developed, which includes data collection, data analysis, and visualization processes. As a result, dual-map overlay, keywords clusters, Timeline, and Time zone views are visualized to identify the research trend with the three main aspects: design, larger integrated circuit, and sustainable manufacturing concept evolution. Besides, to recognize potentials for future development of the domain, life cycle model-based technological trajectory is identified, constructing an information society, the combination of tools, and the performance improvement of the whole digital transformation. Moreover, in response to sustainable development, a system considering business strategies and cultural delivery, technological integration, and partner participation and evaluation is developed, which could cope with complex manufacturing processes due to different industrial tasks in different regions.

Carbon emissions from the construction material industry have become of increasing concern due to increasingly urbanization and extensive infrastructure. Faced with serious atmospheric deterioration, governments have been seeking to reduce carbon emissions, with carbon trading and carbon taxes being considered the most effective regulatory policies. Over time, there has been a global consensus that integrated carbon trading/carbon tax policies are more effective in reducing carbon emissions. However, in an integrated carbon reduction policy framework, balancing the relationship between emission reductions and low-carbon benefits has been found to be a critical issue for governments and enterprises in both theoretical research and carbon emission reduction practices. As few papers have sought to address these issues, this paper seeks to reach a trade-off between economic development and environmental protection involving various stakeholders: regional governments which aim to maximize social benefits, and producers who seek economic profit maximization. An iterative interactive algorithmic method with fuzzy random variables (FRVs) is proposed to determine the satisfactory equilibrium between these decision-makers. This methodology is then applied to a real-world case to demonstrate its practicality and efficiency.

Previous studies indicate that the Porter hypothesis (PH) generates controversial and inconsistent conclusions on the impact of environmental regulation (ER) on business performance. As a result, based on the data of China’s A-share listed companies from 2016 to 2018, a moderated mediating effect model is established to examine the relationship between ER, technological innovation and business performance, as well as the moderating effect of environmental regulation flexibility (ERF) on the relationship. Results show that technological innovation has a significant mediating effect on the relationship between ER and business performance. Furthermore, ERF has a negative moderating effect on the mediating effect technological innovation exerted. At a certain degree, the flexible ER could weaken technological innovation’s mediating effects on the relationship between ER and business performance, and further could mitigate the negative impact of ER on both technological innovation and business performance. Also, an inflexible ER intensifies its negative effects on technological innovation and business performance, which is to the disadvantage of enterprises becoming the subject of environmental protection consciously and sustainably.