Based on the theoretical framework of “technology-organization-environment”, the influencing factors of innovation performance improvement of new energy enterprises were constructed. Taking 141 listed new energy enterprises as samples, fuzzy set qualitative comparative analysis method was used to explore the configuration path of innovation performance improvement of new energy enterprises. The results indicate that R&D capability, innovation resources, innovation consciousness of senior management team, firm scale, market competition and government support are not independent influences but the results of multi-factor synergies. Three configuration paths to improve the innovation performance of new energy enterprises are the “technology-environment” logic and “technology-organization-environment” logic led by the consequent innovation path, and the “organization-environment” logic led by the potential innovation path. There is a complementary and substitutive relationship among innovation resources, R&D capabilities and executive team innovation consciousness, and R&D capabilities have a more significant impact on the innovation performance of new energy enterprises than innovation resources.

The proximity between the subjects of construction projects is an important factor that affects the performance of cooperative innovation. Based on the theory of multidimensional proximity, the longitudinal data of the cooperative innovation among Chinese project participants was collected to explore the influence mechanism of geographical, organizational, technological, institutional and relationship proximity on the cooperative innovation performance of construction enterprises. In order to better reveal the statistical and aggregate relationship between variables, negative binomial regression and fuzzy set qualitative comparative analysis(fsQCA) were used to analyze the binary relationship of cooperative innovation of 392 construction enterprises. The results show that geographical proximity, organizational proximity, institutional proximity, technological proximity and relationship proximity all significantly promote the cooperative innovation performance of construction enterprises. The antecedent configuration of high cooperative innovation performance of three types of construction enterprises is obtained by qualitative comparison and analysis, namely, “organizational leadership-resource integration” type, “system traction-cross-domain breakthrough” type and “technology coordination-collaborative creation” type.

With the rapid development of the automotive industry, digital production has become the key to improve the efficiency and quality of automotive assembly production lines. A digital production system scheme for automobile assembly production line was studied and designed. Through in-depth analysis of the existing production system, the production process data was provided for MES system based on IoT system, so as to realize the overall architecture of the digital production system. It was focused on improving the transparency, predictability and flexibility of the production process, with the aim of improving production efficiency, reducing costs and optimizing resource allocation. Through practical application verification, it is significantly improved the digitalization level of the automotive assembly production line. Compared with traditional production lines, labor costs, improves production efficiency is saved, and strong support is provided for the sustainable development of the automotive industry.

From the perspective of a closed-loop supply chain, the information bias related to carbon emissions from lithium-ion battery manufacturers and operational cost discrepancies among new energy vehicle manufacturers and third-party recyclers was examined by constructing a Stackelberg game model encompassing three distinct recycling modes. Through numerical examples, the behavior of information biases, individual profits and total profits across these recycling modes was analyzed. The findings indicate that both carbon emission biases and operational cost discrepancies are directly correlated with the individual profits and overall profitability of all stakeholders within the supply chain. Notably, the R/T-M mode yields the highest total profit and should be prioritized in practical applications. Furthermore, as carbon trading prices increase, there is an observable trend where profits for all parties initially decline before subsequently rising.

Facing global environmental and resource challenges, achieving harmonious coexistence between resources, environment and economic development is the key to high-quality regional economic development. Using China National Knowledge Infrastructure (CNKI) as the data source, relevant core journal articles published from 2004 to 2023 were selected to create a knowledge graph through CiteSpace, revealing the growth trend and hot areas of decoupling theory in regional economic development research. The importance of decoupling theory in promoting the development of low-carbon and green industries is emphasized, and low-carbon economy, green development and circular economy have become research hotspots. Future research should deepen empirical analysis of decoupling theory, expand its applications, and promote multidimensional cooperation to achieve the “dual carbon” goal.

Two kinds of double-hooked corrugated plate moisture separators with different draining hook structures were numerically investigated, and the gas-liquid two-phase flow model inside the corrugated plates was constructed by using computational fluid dynamics methods. The separation efficiency and pressure drop of the two corrugated plates were comparatively analyzed using the shear stress transport k-ω(SST k-ω) model and the discrete phase model(DPM) under different inlet velocity conditions. The results show that large-size droplets will be separated directly by impacting the separator wall under the effect of inertia, while small-size droplets with smaller inertia force and similar trajectory to the main stream will move with the main stream and are difficult to be captured. The draining hook structure will produce a certain amount of vortex, which will have a certain effect on the local gas flow rate of the flow field, and the main stream gas phase will bring in a portion of the droplets to increase its removal efficiency. When the inlet velocities of the SH-type and N-type corrugated plate are greater than 4 m/s and 6 m/s, respectively, the separation efficiency of the droplets with a particle size larger than 8 μm can reach 100%. When the overall separation efficiency of the two types of corrugated plates reaches 84%, the energy loss of the N-type corrugated plate is about twice as much as that of the SH-type corrugated plate. Comprehensive comparison of the pressure drop and separation efficiency of the two types of corrugated plate moisture separators with double hook, the similarities and differences in their structures, performance advantages and disadvantages were studied and analyzed.

In this study, a comprehensive bibliometric method and knowledge graph technology were used to systematically analyze artificial inteligence and labor employment. The results show that since 2016, the number of articles published in this field has entered a rapid development stage. The core research institutions are concentrated in the education industry. There is a significant overlap in the co-occurrence of keywords of the research themes, which are all focused on the keywords of “artificial intelligence” “robotics” “employment”. The evolution of research hotspots goes through three phases, such as technology focus period (2018-2021), impact exploration period (2021-2022) and application differentiation period (2022-2024). The research provides experience for future research on labor force employment in the context of artificial intelligence, and provides strong support for strategy formulation and practical exploration in related fields.

Accelerating the orderly transfer of the manufacturing industry holds significant strategic importance for enhancing the level of new urbanization in the middle and upper reaches of the Yangtze River Economic Belt to achieve coordinated development. Based on the Spatial Durbin SDM model, the impact mechanism of the transfer of the manufacturing industry in the middle and upper reaches of the Yangtze River Economic Belt was analyzed from 2011 to 2022 on new urbanization. The results demonstrate spatial negative autocorrelation between the transfer of the manufacturing industry and urbanization in the middle and upper reaches of the cities, indicating that excessive undertaking of industrial transfer may have adverse effects on local urbanization. Further analysis reveals that due to regional heterogeneity, the negative spatial spillover effect of manufacturing industry transfer on urbanization is more significant in the middle reaches than in the upper reaches.

Adjusting industrial structure to improve regional environmental performance is an important means for the government to promote local environmental protection. Taking 30 provinces in China(due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) as case studies, fuzzy set qualitative comparative analysis (fsQCA) was used to explore the impact of their configuration effects on regional environmental performance from four dimensions: industrial structure upgrading, rationalization, specialization and diversification. The findings are as follows. ①Regional environmental performance has the characteristics of “reaching the same destination”, that is, two different condition configurations can achieve high regional environmental performance. There are two driving mechanisms to achieve high regional environmental performance, namely, the industry-professionalization-oriented model and the industry-professionalization-rationalization model. ② None of the four dimensions of industrial structure can be regarded as the core condition for producing high regional environmental performance alone, but the specialization of industrial structure plays a more universal role as the key condition. It has further enriched the theoretical system of the relationship between industrial structure and environmental performance, and the research conclusions can provide decision-making reference for various regions to formulate scientific and reasonable industrial structure adjustment policies to improve regional environmental performance.

Scenario marketing has become a new business model for enterprises to link consumers and improve performance in the era of Internet of Things, and it is of great significance to explore its influence mechanism. Based on the TOE framework, an analytical model of scenario marketing from the three dimensions of technology, organisation and environment was constructed, and fsQCA was applied to analyze 189 pieces of research data. The results show that a single antecedent condition is hardly necessary for high performance of enterprise scenario marketing. There are three driving paths for high performance of enterprise scenario marketing, technology-enabled innovative, environment-perception-sensitive, and digital capability-driven. This study reveals the multiple drivers and complex synergistic effects of high performance in enterprise scenario marketing, which provides useful insights for enterprises to achieve high performance through scenario marketing.