Developing new forms of productive forces is an inherent requirement and crucial focus for promoting high-quality development. How enterprise digital transformation affected new forms of productive forces at the corporate level was examined. By adopting a text-asset analysis method, achieve a quantitative measure of enterprise digital transformation was achieved and an index system for new forms of productive forces at the corporate level based on the theory of three essential factors of production was constructed. The research finds that digital transformation significantly enhances the level of new forms of productive forces among China’s listed companies. In terms of the impact mechanism, digital transformation elevates enterprises’ new forms of productive forces by optimizing their human capital structure, and the development of digital inclusive finance positively moderates the effect of digital transformation on promoting new forms of productive forces. The understanding of the role that digital transformation plays in the development of new forms of productive forces at the micro-enterprise level is deepened and reference suggestions are provided for promoting digital transformation at the micro-enterprise level.

With the rapid advancement of the new individual economy, a plethora of unlawful and chaotic activities have emerged, challenging the rationale of social responsibility governance centered around platform enterprises. The motivations behind the new individual economy’s fulfillment of social responsibilities was initially examined, namely its social attributes, ownership characteristics and the necessity for sustainable development, which compelled it to assume the role of a social responsibility bearer. Nonetheless, several practical issues arise when the new individual economy undertakes social responsibilities, including a lack of social responsibility awareness, ambiguous social responsibility subjects, and difficulties in social responsibility oversight. Consequently, a content framework for the social responsibility of the new individual economy is established. The entity responsible for fulfilling social responsibility is the new individual economic operator. The beneficiaries of social responsibility encompass both direct and indirect stakeholders, and the scope of social responsibility is categorized into six domains including legal, economic, ethical, industrial, philanthropic and public welfare responsibilities. Depending on the level of social responsibility, these can be further classified into mandatory, essential and aspirational social responsibilities. Tailored governance models are proposed based on the distinct features of each type of social responsibility, such as a government-led governance model for mandatory social responsibilities, a management-led governance model for essential social responsibilities, and a platform-led governance model for aspirational social responsibilities.

The path was explored to enhance the digital innovation resilience of SRDI enterprises from the three dimensions of digital transformation environment dynamics, the digital dynamic capability and digital innovation strategy, and the analytical ideas of fsQCA methodology was applied. The study found that individual factors do not constitute a necessary condition for high digital innovation resilience, but high digital sensing capability play a pervasive role in enhancing digital innovation resilience. There are four configurations for achieving high digital innovation resilience, and according to digital capabilities and environmental dynamics, “SRDI” manufacturing enterprises should choose different digital innovation strategies to enhance resilience and promote high-quality development.

In order to search for a new model suitable for the development of collaborative innovation in the biomedical industry in LZ city, the current situation and problems of biomedical industry in LZ city were sorted out through literature analysis and investigation, comparing the existing collaborative innovation development modes in LZ city, and combining with the theory of collaborative innovation to search for new modes suitable for its development of collaborative innovation. It is found that LZ city biomedical industry has a variety of collaborative innovation models, on the basis of which it is necessary to form a closer government-industry-academia-research-utilization of the new mode of collaborative innovation. At present, the most suitable model for biomedical development in LZ city is the new model of collaborative innovation between government-industry-academia-research-application based on joint decision-making by multiple subjects, multi-stage synergy and scientific distribution of benefits and close relationship.

Understanding the evolution of the industry-university-research collaboration(IUR) in the Chengdu-Chongqing Economic Zone is crucial for promoting high-quality coordinated development in the region. Based on a multidimensional network perspective and utilizing social network analysis, the evolutionary characteristics of IUR collaboration in terms of spatial, technological and innovative entities was examined. The results are as follows. A spatial network has emerged with a dual-core innovation pattern centered around Chengdu and Chongqing, supported by cross-regional connections with first-tier cities such as Beijing and Shanghai. Technological innovation demonstrates stability in focal technologies, widespread application of dominant technologies and trends in interdisciplinary collaboration. In the network of innovative entities, an innovation pattern dominated by enterprises and supported by universities has initially formed, with the industry-university cooperation model prevailing.

As one of the most active regions in China’s economic development, various strategic emerging industries in the Yangtze River Delta has been continuously emerging in recent years. Since most of the strategic emerging industries are closely related to scientific and technological innovation, it is crucial to promote scientific and innovative finance to support the development of strategic emerging industries in the Yangtze River Delta. Firstly, the relevant policy background was sorted out, and the goal of the integrated development of strategic emerging industries in the Yangtze River Delta was drawn out. Then, the development status of scientific and innovative finance and strategic emerging industries in the Yangtze River Delta was sorted out, which highlighted the important role of scientific and innovative finance in the development process of strategic emerging industries in the Yangtze River Delta. Then, the problems of scientific and innovative finance in the development of strategic emerging industries in the Yangtze River Delta were summarized, including regional development imbalance, single financing channels, institutional guarantee to be improved, and scientific and technological innovation ecological construction to be strengthened. Finally, policy suggestions are proposed, including establishing a multi-level financial system for scientific and innovative finance, promoting the virtuous cycle of “science and technology-industry-finance”, accelerating the innovation and development of green science and technology, and improving the level of data intelligence of scientific and innovative finance.

During the 14th Five-Year Plan period, Gansu Province has planned to construct the Lanzhou Metropolitan Area with Lanzhou City as the core and its adjacent municipal areas as the hinterland. With the rapid construction and layout of regional transportation facilities, the external transportation pattern of the Lanzhou Metropolitan Area has gradually taken shape. Based on the big data of population migration within the metropolitan area, the current situation of transportation between cities was studied, and the integrated layout of transportation facilities was optimized. The results of the characteristics of the inter-city travel network of residents constructed based on different time periods and different transportation modes indicate that the overall travel network of regional residents presents a “radiation-shaped” pattern centered on Lanzhou. The travel scale and stability of the routes between Lanzhou and the cities in the hinterland are large, while the connections between the hinterland cities are relatively weak. Compared with the daily period, the travel intensity during special holidays and the “Spring Festival travel rush” increases, but it is still dominated by large-scale daily routes. Road transportation is the main mode of regional travel. Conventional railways no longer meet the needs of rapid inter-city travel, while high-speed railways promote large-scale inter-city travel. Based on the current characteristics, optimization strategies for the transportation integration of the Lanzhou Metropolitan Area are proposed respectively from the three transportation modes of aviation, railways, and roads to promote regional coordinated development.

Taking five counties, Songpan County, Heishui County, Mao County, Li County and Wenchuan County in the upstream area of the Minjiang River as the research object, the data of the tourism-economy-ecological environment system (TEE system) of the five counties in the period of 2010—2023 was measured, and the comprehensive effect and the degree of coupling coordination were quantified by using the entropy method and the coupling coordination model. The spatial and temporal evolution characteristics and spatial differences of the coordinated development of different county systems were analyzed. The results show that the state of coordinated development of the TEE system in the five counties in the upper Minjiang River region is at a low level type. All five counties’ coupling coordination degree scores are below 0.3, and all of them are still in the state of severe or moderate dysfunction. The development of TEE system coupling coordination degree of the five counties upstream of Minjiang River is in the fluctuating upward trend, in which the development trend of tourism-economy system maintains rapid development, and the ecological environment system lags behind relatively. The evolution path of TEE system coordination in the five counties upstream of the Minjiang River is a gradual leaping path model, which can be divided into three specific subdivided situations, such as the “severe disorder” path, the “extreme disorder-severe disorder” path, and the “severe disorder-moderate disorder” path. According to the results of the internal coupling and coordination analysis, Songpan County and Heishui County belong to the tourism super-advanced type, while Mao County, Li County and Wenchuan County belong to the economic super-advanced type. The scores of the ecological environment system of the five counties are seriously lagging behind the tourism system and the economic system, and the ecological environment is under severe pressure. Finally, the five counties in the upper reaches of the Minjiang River are proposed to improve their TEE system by improving their spatial and temporal characteristics and laws.

According to the problem of multiple attributes group decision making, in which the attribute values are given in terms of picture fuzzy numbers, a picture fuzzy multiple attributes group decision making model based on projection and cross entropy was established. The projection was introduced into the picture fuzzy multiple attributes group decision making to find the weights of the experts. The weighted symmetric discrimination information measure for PFSs of each alternative corresponding to each expert and the ideal alternative were obtained by using cross entropy, then according to the weight of the experts, the weighted symmetric discrimination information measure values of each alternative and the ideal alternative were assembled. The optimal alternative is obtained. Finally, an example is given to illustrate the practicality and effectiveness of the proposed method.

Water blocking damage is a common issue in the development of tight sandstone gas reservoirs, significantly impacting gas well production and reservoir recovery rates. Taking the gas reservoirs in the southern margin of Ordos as an example, the degree of water blocking damage in the gas reservoirs was analyzed, the typical production characteristics of gas wells with water blocking damage in tight gas reservoirs was discussed, and technologies were proposed for the prevention and treatment of reservoir water blocking. The research results indicate that the gas reservoirs in the southern margin of Ordos experience moderate to strong water blocking damage. After water blocking, gas wells exhibit production characteristics such as insignificant production increase after fracturing, inability to restore production after reopening the well following shutdown, and limited effectiveness of wellbore drainage measures. To effectively prevent and treat water blocking damage, comprehensive prevention and treatment methods are proposed, including the use of small-diameter coiled tubing to avoid premature fluid accumulation in gas wells, maintaining continuous and stable production, and implementing physicochemical processes to eliminate water blocking damage. Field test results demonstrate that the integrated application of these methods can effectively prevent and eliminate water blocking damage, thereby restoring gas well production.