Configurational paths to the green transformation of Chinese manufacturing enterprises: a TOE framework based on the fsQCA and NCA approaches.

In the current complex and ever-changing environment, the high-quality development of manufacturing enterprises has a long way to go. The theoretical framework based on technology, the organization and the environment (TOE) from a configuration perspective provides a new integrated theoretical perspective for studying the green transformation path of Chinese manufacturing enterprises. The research purpose of this article is to use fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to explore the configuration effects of various antecedents in the TOE theoretical framework of Chinese manufacturing enterprises, "technology (green technological innovation, digital transformation)-the organization (redundant resources, supply chain concentration, information transparency)-the environment (environmental governance pressure)", to achieve a green transformation. The research findings show that no single factor is a necessary condition for achieving a high level of green transformation. There are six ways to achieve high green transformation levels for manufacturing enterprises, namely, technology-information collaborative green transformation, technology-supply chain collaborative-driven green transformation, digital-organization collaborative-driven green transformation, innovation-organization collaborative-driven green transformation, organization-environment collaborative-driven green transformation, and full-level multifactor collaborative-driven green transformation. The research conclusion will further expand research on the green transformation of enterprises and provide useful and practical references for green transformation paths of enterprises.

Impacts of Digital Information Management Systems on Green Transformation of Manufacturing Enterprises.

Under the background of increasingly prominent environmental problems, the establishment and application of digital information management systems established by the digital economy have brought new opportunities and challenges to the green transformation of manufacturing enterprises. Considering the micro level of Chinese manufacturing enterprises, does the adoption of information management systems really promote the improvement of the green transformation level of manufacturing enterprises? This paper takes the adoption of digital information management systems by China's enterprises as a "quasi natural" experiment and uses the Difference-in-Difference and Propensity Score Matching model (PSM-DID) to explore its impact on the green transformation of manufacturing enterprises and its mechanism. The study found that the adoption of digital information management systems by enterprises significantly improved the green transformation level of manufacturing enterprises, especially the symbolic green transformation level, and had no significant positive effect on the substantive green transformation level. The mechanism analysis shows that manufacturing enterprises can achieve green transformation by adopting information management systems to improve the digital level, strengthen green innovation ability, and increase the redundant resources of enterprises. The heterogeneity analysis based on the internal governance and external environment of enterprises shows that the adoption of digital information management systems by manufacturing enterprises has significantly improved the green transformation level of non-state-owned enterprises, enterprises with high corporate governance, non-heavily polluting enterprises, and enterprises in the eastern region. The research conclusion enriches the research related to digitalization and green transformation of enterprises and has important inspiration for Chinese manufacturing enterprises to use digitalization capabilities to seek green sustainable development under the wave of digital economy development.

Effects of quadratus lumborum block on perioperative multimodal analgesia and postoperative outcomes in patients undergoing radical prostatectomy.

BACKGROUND: This study aimed to investigate the effects of ultrasound-guided quadratus lumborum block (QLB) on perioperative multimodal analgesia and postoperative outcomes in patients undergoing radical prostatectomy. METHODS: A total of 80 patients undergoing radical prostatectomy were randomly divided into two groups: general anaesthesia with QLB (QLB group; n = 40) and general anaesthesia with sham QLB (normal saline [NS] group; n = 40). QLB or sham QLB was performed before the induction of anaesthesia. Sufentanil was intravenously administered for postoperative analgesia. The primary outcome was the pain score (measured using a numerical rating scale [NRS]) at different time points within 48 h postoperatively. Secondary outcomes included the cumulative dose of sufentanil within 48 h postoperatively, subjective comfort, grip strength, first time of exhaustion, first fluid intake time, time to get out of bed, length of postoperative hospital stay and overall satisfaction. The SPSS software, version 17.0, was used for all statistical analyses. RESULTS: Postoperative NRS at rest was significantly lower at 2 h (1.7 ± 1.1 versus 3.0 ± 2.1), 4 h (1.8 ± 1.2 versus 4.1 ± 2.3), 6 h (1.9 ± 2 versus 4.4 ± 2) and 12 h (3.5 ± 2.3 versus 5 ± 3.3) and was also lower when coughing at 2 h (2.3 ± 1.1 versus 4 ± 2.1), 4 h (2.3 ± 1. 1 versus 4.3 ± 2) and 6 h (2.4 ± 1.1 versus 5.9 ± 2.3) in the QLB than that in the NS group. The cumulative dose of sufentanil was significantly lower in the QLB than that in the NS group at 4 h, 6 h, 12 h, 24 h and 48 h. The nausea score was significantly lower in the QLB group at 24 h postoperatively, and the first time of exhaustion and time to get out of bed were significantly shorter (P < 0.05). The overall satisfaction score was significantly higher in the QLB than in the NS group (4 ± 0.7 versus 2.6 ± 0.9). CONCLUSION: Ultrasound-guided bilateral QLB can provide effective postoperative analgesia for patients undergoing radical prostatectomy, reduce the need for sufentanil, facilitate comfort and improve postoperative outcomes. QLB can be a good component of multimodal analgesia. TRIAL REGISTRATION: The clinical trial is registered in the Chinese Clinical Trial Registry (ChiCTR). Current Controlled Trials: ChiCTR1900022009 . the date of registration:2019/03/20.

Concentrated solar power: technology, economy analysis, and policy implications in China.

Renewable energy plays a significant role in achieving energy savings and emission reduction. As a sustainable and environmental friendly renewable energy power technology, concentrated solar power (CSP) integrates power generation and energy storage to ensure the smooth operation of the power system. However, the cost of CSP is an obstacle hampering the commercialization of this emerging industry, so the paper studies the technical characteristics, economic analysis, and policy implications of CSP. This paper sorts out the relevant policies of CSP and uses the levelized cost of electricity (LCOE) model by considering financial parameters, investment parameters, operation and maintenance parameters, tax parameters, capacity parameters, etc., to analyze the economics of CSP. The model parameters are set by the actual situation of CSP projects. The economic evaluation of different technology types of parabolic trough (PT), solar tower (ST), secondary reflection ST, and linear Fresnel reflector (LFR) is carried out. The LCOE of PT project is 1.11 RMB/kWh (0.17 US$/kWh), the ST project is 0.93 RMB/kWh (0.14 US$/kWh), the secondary reflection ST project is 0.97 RMB/kWh (0.15 US$/kWh), and the LFR project is 0.92 RMB/kWh (0.14 US$/kWh). The results show that the grid parity era of CSP in China is within reach, and ST is the most potential technology type. Based on the results of economic analysis and the problems faced by CSP in China, this paper puts forward policy implications by preferential loans, tax incentives, and R&D fund support to promote the development of CSP.

The influencing factors and hierarchical relationships of offshore wind power industry in China.

As a new and cost-effective renewable energy power generation technology, offshore wind power is getting more and more attention. The development of offshore wind power industry is affected by policy-making, technology management, resources and environment, market supply and demand, and the relationship among the influencing factors is complex. This paper analyzes the factors that affect offshore wind power industry from a unique and comprehensive perspective. Fourteen factors are selected and interpretative structural model (ISM) is established to study the relationship between the influencing factors of offshore wind power industry. The results show that 14 influencing factors can be divided into five levels: the first level is the surface factors, including the economic incentive policy, operation mechanism, industrial chain, energy market mechanism, investment, and financing mechanism; the second and third levels are the intermediate factors, including generation cost, operation management, and offshore wind power technology; the fourth and fifth levels are deep-seated factors, including development planning and grid price, site selection, R&D investment, environmental protection policy, and offshore wind power supply. Deep-seated factors have a direct impact on the intermediate factors, the intermediate factors have an important impact on the surface factors, and the surface factors directly affect the development of offshore wind power industry. The influence of the 14 factors selected in this paper on offshore wind power industry is from bottom to top, from deep to shallow.