Research on the factors and path of sports industry development in China: A fsQCA study of 31 provinces.

The advancement of the sports industry's development constitutes a critical concern shared by regional authorities and the scholarly community, reflecting its significant role in economic and social development. This study employs a Fuzzy-set Qualitative Comparative Analysis (fsQCA) methodology to examine the 31 provincial-level administrative units in China. The objective is to elucidate the influence of technological, organizational, and environmental factors on the industry's development level, considering both a holistic national framework and dissected regional approaches (Eastern, Central, and Western China). This paper's contribution to the literature is structured around the following core findings: (1) The study establishes that a singular condition does not suffice as an essential prerequisite for achieving a heightened development state within the sports industry. (2) At the national level, there are three pathways to enhance the development level of the sports industry, specifically identified as "network-human resources dominant pathway," "technological innovation-human resources dominant pathway," and "comprehensive synergistic pathway."(3) From a regional perspective, the Eastern region has two pathways for sports industry enhancement: "network-economic pathway" and "comprehensive synergistic pathway." The Central region follows a "technology pathway," while the Western region has three pathways: "organization-environment pathway," "network-organization-environment pathway," and "organization pathway."(4) The synthesis of these findings underscores the multifactorial nature of sports industry development, suggesting a paradigm where diverse routes can lead to equivalent outcomes. This heterogeneity indicates that provinces or regions can tailor their development strategies to their unique situational contexts.

Digital technologies to unlock safe and sustainable opportunities for medical device and healthcare sectors with a focus on the combined use of digital twin and extended reality applications: A review.

Medical devices have increased in complexity where there is a pressing need to consider design thinking and specialist training for manufacturers, healthcare and sterilization providers, and regulators. Appropriately addressing this consideration will positively inform end-to-end supply chain and logistics, production, processing, sterilization, safety, regulation, education, sustainability and circularity. There are significant opportunities to innovate and to develop appropriate digital tools to help unlock efficiencies in these important areas. This constitutes the first paper to create an awareness of and to define different digital technologies for informing and enabling medical device production from a holistic end-to-end life cycle perspective. It describes the added-value of using digital innovations to meet emerging opportunities for many disposable and reusable medical devices. It addresses the value of accessing and using integrated multi-actor HUBs that combine academia, industry, healthcare, regulators and society to help meet these opportunities. Such as cost-effective access to specialist pilot facilities and expertise that converges digital innovation, material science, biocompatibility, sterility assurance, business model and sustainability. It highlights the marked gap in academic R&D activities (PRISMA review of best publications conducted between January 2010 and January 2024) and the actual list of U.S. FDA's approved and marketed artificial intelligence/machine learning (AI/ML), and augmented reality/virtual reality (AR/VR) enabled-medical devices for different healthcare applications. Bespoke examples of benefits underlying future use of digital tools includes potential implementation of machine learning for supporting and enabling parametric release of sterilized products through efficient monitoring of critical process data (complying with ISO 11135:2014) that would benefit stakeholders. This paper also focuses on the transformative potential of combining digital twin with extended reality innovations to inform efficiencies in medical device design thinking, supply chain and training to inform patient safety, circularity and sustainability.

Identifying dynamic risk spillovers between crude oil and downstream industries: China's futures market perspective.

Interactions between crude oil and its downstream products are crucial but complex. The main purpose of this study is to examine the risk spillover relationships between the crude oil futures market and the petrochemical downstream futures market in the context of the COVID-19 epidemic in China. By combining the dynamic conditional correlation-generalized autoregressive conditional heteroskedasticity (DCC-GARCH) model and the Diebold-Yilmaz spillover index based on time-varying parameter-vector autoregression (TVP-VAR-DY), we investigate the dynamic correlations between Shanghai crude oil futures (INE) and the downstream futures in China's petrochemical industry chain. At the same time, we also incorporate the representative global crude oil futures (BRENT and WTI) in our study as a comparative analysis. Our results show a significant positive correlation between three crude oil futures and China's downstream future products, with a more pronounced link observed between INE and the downstream futures market. Moreover, the correlation between crude oil futures and various downstream products exhibits heterogeneity; that is, direct derivatives of crude oil show higher sensitivity to price fluctuations compared to products with longer production chains. Furthermore, the spillover results indicate that the international crude oil futures, particularly BRENT, primarily function as spillover transmitters, while INE mainly serves as the recipient. In the post-pandemic period, the international crude oil market still exhibits a high spillover effect, and the spillover effect of INE to polyvinyl chloride, pure terephthalic acid, and bitumen futures increased, reflecting market recovery in China to some extent. These results provide potential insights for policymakers, financial institutions, industry participants, and investors, emphasizing the importance of enhanced risk management, diversified investment strategies, and attention to market dynamics.

New Trends in Biosurfactants: From Renewable Origin to Green Enhanced Oil Recovery Applications.

Enhanced oil recovery (EOR) processes are technologies used in the oil and gas industry to maximize the extraction of residual oil from reservoirs after primary and secondary recovery methods have been carried out. The injection into the reservoir of surface-active substances capable of reducing the surface tension between oil and the rock surface should favor its extraction with significant economic repercussions. However, the most commonly used surfactants in EOR are derived from petroleum, and their use can have negative environmental impacts, such as toxicity and persistence in the environment. Biosurfactants on the other hand, are derived from renewable resources and are biodegradable, making them potentially more sustainable and environmentally friendly. The present review intends to offer an updated overview of the most significant results available in scientific literature on the potential application of biosurfactants in the context of EOR processes. Aspects such as production strategies, techniques for characterizing the mechanisms of action and the pros and cons of the application of biosurfactants as a principal method for EOR will be illustrated and discussed in detail. Optimized concepts such as the HLD in biosurfactant choice and design for EOR are also discussed. The scientific findings that are illustrated and reviewed in this paper show why general emphasis needs to be placed on the development and adoption of biosurfactants in EOR as a substantial contribution to a more sustainable and environmentally friendly oil and gas industry.

A comprehensive study on applications of nanomaterials in petroleum upstream and downstream industry.

Nanotechnology has emerged as a revolutionary technology that has been applied in the oil and gas industry for over a decade, spanning the upstream, midstream, and downstream sectors. Nanotechnology has made significant contributions to the exploration of crude oil and natural gas, both in underground and deep-water environments. It has also played a crucial role in improving the drilling process, enabling the extraction of oil and gas resources from beneath the Earth's surface. Nanoparticles, with their unique physical and chemical properties, such as high specific surface area, high pore volume, and small size, have demonstrated considerable potential in the oil industry. Extensive research has been conducted to explore various types of nanoparticles for advanced applications, including oil exploration, drilling, production, and enhanced oil recovery (EOR). Moreover, nanomaterials have found applications in downstream and intermediate sectors, such as crude oil refining, natural gas processing, and transportation and storage of petroleum products. Ongoing advancements in nanomaterial synthesis methods, the exploration of new nanomaterial uses, and understanding the remarkable properties of nanomaterials will continue to make them increasingly valuable in the oil and gas sector. The oil and gas industry recognises the potential of nanotechnology and nanoparticles and is investing significantly in research and development in this area. This comprehensive review aims to summarise successful applications of nanotechnology while addressing associated challenges. It serves as a valuable resource for future research and application endeavours in the field, highlighting the potential of nanotechnology in the oil and gas industry.

[High-value utilization technology and approach of Chinese medicinal residues under background of "Dual Carbon"].

In recent years, the traditional Chinese medicine(TCM)industry has experienced rapid development, resulting in a significant amount of Chinese medicinal residues generated during the industrial manufacturing process. Currently, the main methods of handling Chinese medicinal residues include stacking, landfilling, and incineration, which lead to substantial resource waste and potential environmental pollution. With "carbon peak" and "carbon neutrality"( "Dual Carbon")becoming national strategic goals, the TCM industry is ushering in a new wave of "low-carbon" trends, and the high-value utilization of Chinese medicinal residues has become a breakthrough for implementing a low-carbon economy in the TCM sector. From the perspective of a low-carbon economy, this article reviewed literature in China and abroad to summarize the microbial transformation technology, enzymatic conversion technology, biomass pyrolysis, gasification, hydrothermal liquefaction, and other high-value utilization technologies for Chinese medicinal residues. It also overviewed the applications of Chinese medicinal residue in feed additives, organic fertilizers, edible mushroom cultivation substrates, preparation of activated carbon for wastewater treatment, and new energy batteries. Considering the current status of resource utilization of Chinese medicinal residues, feasible strategies and suggestions for resource development and utilization were proposed to improve the quality and efficiency of the Chinese medicinal resource industry chain and promote green development, thereby providing research ideas and theoretical basis for achieving carbon peak and carbon neutrality goals.

An examination of the Petroleum Industry Act 2021: prospects, challenges, and the way forward.

Background: The study examines the gaps in the provisions of the Petroleum Industry Act (PIA) that could hinder the effective application of the Act in attaining its objectives. The repealed Petroleum Act of 1969 became obsolete and largely incapable of meeting the emerging global best practices in the industry due to inadequate sanctions, failure to address the aspirations of the people of the oil-bearing states, among others. Hence, the need for the PIA of 2021 to overhaul the industry to meet global standards though some controversial provisions that pose challenges to its proper implementation. Methods: The study examines the PIA to identify its prospects, challenges, and the way forward. The methodology the study utilises is doctrinal research with reports from existing literature and tertiary data sources such as newspapers, the Internet, and websites. Pertinent data collected from these sources were theoretically analysed and argued with current literature on the subject. Results: The finding is that the PIA does not make adequate provisions for the energy transition in line with Nigeria's Nationally Determined Contributions (NDC) under the Paris agreement; the PIA was provided for weak institutions, which translates to weak implementation and enforcement of the law which further widening the gap between the law and reality. Conclusions: The study concluded that, although the Act delivered the much-needed stability in the petroleum industry in Nigeria, there is a need for an overhaul of the Act to further protect the interest of host communities and allow for co-ownership of petroleum resources by the state government.

Untargeted cannabinomics reveals the chemical differentiation of industrial hemp based on the cultivar and the geographical field location.

Cannabis sativa has long been harvested for industrial applications related to its fibers. Industrial hemp cultivars, a botanical class of Cannabis sativa with a low expression of intoxicating Δ9-tetrahydrocannabinol (Δ9-THC) have been selected for these purposes and scarcely investigated in terms of their content in bioactive compounds. Following the global relaxation in the market of industrial hemp-derived products, research in industrial hemp for pharmaceutical and nutraceutical purposes has surged. In this context, metabolomics-based approaches have proven to fulfill the aim of obtaining comprehensive information on the phytocompound profile of cannabis samples, going beyond the targeted evaluation of the major phytocannabinoids. In the present paper, an HRMS-based metabolomics study was addressed to seven distinct industrial hemp cultivars grown in four experimental fields in Northern, Southern, and Insular Italy. Since the role of minor phytocannabinoids as well as other phytocompounds was found to be critical in discriminating cannabis chemovars and in determining its biological activities, a comprehensive characterization of phytocannabinoids, flavonoids, and phenolic acids was carried out by LC-HRMS and a dedicated data processing workflow following the guidelines of the metabolomics Quality Assurance and Quality Control Consortium. A total of 54 phytocannabinoids, 134 flavonoids, and 77 phenolic acids were annotated, and their role in distinguishing hemp samples based on the geographical field location and cultivar was evaluated by ANOVA-simultaneous component analysis. Finally, a low-level fused model demonstrated the key role of untargeted cannabinomics extended to lesser-studied phytocompound classes for the discrimination of hemp samples.

Leading Edge Technologies and Perspectives in Industrial Oilseed Extraction.

With the increase in the world's population and per capita wealth, oil producers must not only increase edible oil production but also meet the demand for a higher quality and variety of products. Recently, the focus has shifted from single processing steps to the entire vegetable oil production process, with an emphasis on introducing innovative technologies to improve quality and production efficiency. In this review, conventional methods of oilseed storage, processing and extraction are presented, as well as innovative processing and extraction techniques. Furthermore, the parameters most affecting the products' yields and quality at the industrial level are critically described. The extensive use of hexane for the extraction of most vegetable oils is undoubtedly the main concern of the whole production process in terms of health, safety and environmental issues. Therefore, special attention is paid to environmentally friendly solvents such as ethanol, supercritical CO2, 2-methyloxolane, water enzymatic extraction, etc. The state of the art in the use of green solvents is described and an objective assessment of their potential for more sustainable industrial processes is proposed.

The effect of chemical bond and solvent solubility parameter on stability and absorption value of functionalized PU sponge.

Seawater pollution from various sources such as industrial effluents, ship washing at sea, and oil spills harm humans and the marine environment. Therefore, finding ways to eliminate this pollution is crucial. This study successfully modified a polyurethane sponge through a simple dip-coating method with functionalized graphene oxide incorporating octadecylamine and oleic acid, resulting in a hydrophobic sponge capable of absorbing crude oil and various organic solvents. Characterization analyses confirmed the synthesis. The absorption capacity of the modified sponges was examined, for example, the PU sponge has absorbed 4 g/g engine oil, while the modified GO-ODA-PU sponge has increased its absorption to 36 g/g. The GO-ODA-PU sponge demonstrated great reusability compared to the GO-OA-PU sponge owing to the strong covalent bond formed between GO and ODA, which is superior to the weak hydrogen bond formed between GO and OA. The absorption capacity of the GO-OA-PU sponge decreased by 30%. The contact angle test showed that GO-ODA-PU and GO-OA-PU sponges had contact angles of 131° and 115°, respectively. Additionally, the GO-ODA-PU sponge performed optimally for semi-polar solvents in the solubility parameter range of 18-19, with its absorption capacity reaching its maximum value. The amount of oil recycling is even possible up to 98%.

Assessment of the internal and external exposure risks to methylsiloxanes in communities near a petroleum refinery.

Methylsiloxanes (MSs) are widely used in industrial production and have attracted much attention due to their potential health risks to humans. MSs are present in emissions from petroleum refining, and it is therefore important to assess the health risks to residents living near refineries. In this study, we evaluated the pollution characteristics and human exposure risks of three cyclic MS (CMS) oligomers (D4-D6) in areas upwind and downwind of a petroleum refinery. The concentrations of total CMSs were 4-33 times higher in the downwind than upwind areas. At the same sampling site, the concentrations of CMSs were higher indoors than outdoors. The maximum concentration of CMSs was found in the indoor environment 200 m downwind of the petroleum refinery (75 µg/m3 in air and 2.3 µg/g in dust). The concentrations and detection rates of CMSs in plasma samples were higher in the downwind than upwind residents. Although residents living downwind of the petroleum refinery were a non-occupationally exposed population, they should be considered a highly CMS-exposed population because of their extremely high internal exposure doses. Inhalation exposure was the main source of CMSs in the plasma of these residents. When different exposure pathways were investigated, inhalation exposure was the major contributor to the average daily dose in residents of locations near the petroleum refinery, whereas the dermal absorption of personal care products was the major contributor at other sites. Although the overall risks of exposure to total CMSs were below the chronic reference dose for all exposure pathways, the combined joint toxic effects of various CMSs remain unclear. Further studies are therefore required to determine the exposure risks and subsequent health effects of CMSs for the residents of these areas.

Development and validation of Medical Device Key Evidence Tool ('MeDKET'): An evidence-based framework to explain success in selected European and US companies.

Innovating in Medical Device (MD) industry is challenging. This study aims to develop and validate an evidence-based framework that helps innovators of small and large enterprises (SEs and LEs) assess their readiness for successful MD development and deployment. We conducted a key-informant process (stage 1) where 25 international experts identified a list of emergent Health Technology Assessment (HTA) themes they believed were essential to company success. A sample of 22 European and US selected companies (13 SEs and 9 LEs) then reached a consensus on a list of key themes through a robust Delphi process (stage 2). Finally, we constructed (stage 3) and validated (stage 4) the checklist for SEs and LEs. The checklist for SEs and LEs included 21 and 15 items (i.e., fundamental Yes/No questions) with nine overlapping criteria for both SEs and LEs. In both groups, MD success was driven by three major item categories: (i) R&D assessment strategy; (ii) device-outcome measures; (iii) company profiling. Alongside the retrospective validation study, we collected 40 case studies on MDs (23 successes and 17 failures) across the selected enterprises. The retrospective validation provided the proportion of successful and failed case studies that met the 'MeDKET' criteria. We discovered that early HTA plays a pivotal role in MD industry success with different implications based on enterprise size. This study is the first of its kind to provide a holistic picture of the perceived role of early-stage HTA in MD industry success.

IoT Traffic Analyzer Tool with Automated and Holistic Feature Extraction Capability.

The Internet of Things (IoT) is an emerging technology that attracted considerable attention in the last decade to become one of the most researched topics in computer science studies. This research aims to develop a benchmark framework for a public multi-task IoT traffic analyzer tool that holistically extracts network traffic features from an IoT device in a smart home environment that researchers in various IoT industries can implement to collect information about IoT network behavior. A custom testbed with four IoT devices is created to collect real-time network traffic data based on seventeen comprehensive scenarios of these devices' possible interactions. The output data is fed into the IoT traffic analyzer tool for both flow and packet levels analysis to extract all possible features. Such features are ultimately classified into five categories: IoT device type, IoT device behavior, Human interaction type, IoT behavior within the network, and Abnormal behavior. The tool is then evaluated by 20 users considering three variables: usefulness, accuracy of information being extracted, performance and usability. Users in three groups were highly satisfied with the interface and ease of use of the tool, with scores ranging from 90.5% to 93.8% and with an average score between 4.52 and 4.69 with a low standard deviation range, indicating that most of the data revolve around the mean.

Practical guidance to evaluate in vitro dermal absorption studies for pesticide registration: An industry perspective.

While there are some regulatory assessment criteria available on how to generally evaluate dermal absorption (DA) studies for risk assessment purposes, practical guidance and examples are lacking. The current manuscript highlights the challenges in interpretating data from in vitro assays and proposes holistic data-based assessment strategies from an industry perspective. Inflexible decision criteria may be inadequate for real data and may lead to irrelevant DA estimates. We recommend the use of mean values for reasonably conservative DA estimates from in vitro studies. In cases where additional conservatism is needed, e.g., due to non-robust data and acute exposure scenarios, the upper 95% confidence interval of the mean may be appropriate. It is critical to review the data for potential outliers and we provide some example cases and strategies to identify aberrant responses. Some regional regulatory authorities require the evaluation of stratum corneum (SC) residue, but here, as a very simple pro-rata approach, we propose to review whether the predicted post 24-h absorption flux exceeds the predicted elimination flux by desquamation because otherwise it is not possible for the SC residue to contribute to systemic dose. Overall, the adjustment of DA estimates due to mass balance (normalization) is not recommended.

Applying the Worker Well-Being Framework to Identify Factors that Impact Turnover Among Long-Haul Truck Drivers.

BACKGROUND: Drivers in the long-haul trucking industry have chronic health conditions, engage in unhealthy behaviors, and leave the industry at high rates. Previous work has not considered the health and safety outcomes resulting from the conditions of work in the trucking industry and their role in turnover. The goal of this study was to understand the expectations of an incoming workforce, explore how work conditions impact their well-being, and identify strategies for retention. METHODS: Semi-structured interviews were conducted among current long-haul drivers and supervisors at trucking companies, and students and instructors at trucking schools (n = 33). Participants were asked about why they decided to enter the industry, their health challenges related to being in the trucking industry and whether these challenges were related to turnover, and strategies for retention. FINDINGS: Health conditions, differences in job expectations, and work demands were associated with leaving the industry. Workplace policies and culture (e.g., lack of supervisor support, schedules that limited home time, company size, and lack of benefits) were associated with workers' intention to leave an organization. Strategies identified to improve retention included integrating health and wellness into onboarding, creating realistic job expectations for those entering the industry, establishing relationships with drivers and dispatchers, and developing policies to limit time away from family. CONCLUSION/APPLICATION TO PRACTICE: Turnover in the trucking industry is a persistent problem and leads to a shortage of skilled workers, increases the workload, and reduces productivity. Understanding the relationship between the conditions of work and well-being provides a more holistic approach to address the health, safety, and well-being of long-haul truck drivers. Health conditions, differences in job expectations, and work demands were associated with leaving the industry. Workplace policies and culture (e.g., supervisor support, schedules that limited home time, lack of benefits) were associated with workers' intention to leave an organization. These conditions provide an opportunity for occupational health interventions to promote the physical as well as psychological health of long-haul truck drivers.

A recent Cannabis pollen increase on the Iberian Pyrenees.

The continuous, varved and absolutely dated sedimentary record of Lake Montcortès (Iberian Pyrenees) has provided evidence for a distinct and characteristic 20th century (1980s) increase in Cannabis pollen (20C) that persists today. This event was coeval with the geographical shift of the hemp production center in the Iberian Peninsula from east to northeast (where Lake Montcortès lies), which was accompanied by a significant production increase. This increasing trend was fostered by the renewed interest of the paper industry in hemp and was promoted by the onset of European Union subsidies to hemp cultivation. Illegal cannabis crops could have also contributed to the Cannabis pollen increase, but sound evidence is still lacking. These preliminary conclusions should be reinforced by increasing the resolution of the current palynological record and modeling the dispersal of Cannabis pollen around the Montcortès region. More similar high-resolution records are needed to verify the geographical extent of the 20C event. Additionally, Lake Montcortès varved sediments are proposed as a suitable candidate to characterize the onset of the "Anthropocene" epoch (mid-20th century), as currently defined by the Anthropocene Working Group.

Analyzing the innovation ability of listed companies in the core area of the Huaihai economic zone.

The strategic position of the core area of the Huaihai Economic Zone is very important. The evaluation and analysis of the listed companies' innovation ability in this core area effectively reflect the level of innovation ability of regional enterprises and uncover the differences and influencing factors of the enterprise innovation ability level across different cities and industries; this would provide a reference for further improving the enterprise innovation ability level in the Huaihai Economic Zone. Given this context, data are collected from the CSMAR database on 37 listed companies in eight cities in the Huaihai Economic Zone core area from 2017 to 2021, and an innovation ability evaluation index is constructed from the innovation input and innovation output dimensions of listed companies. The results show that the innovation ability of listed companies in the region is weak; the main reason for the lack of innovation ability of listed companies is the lack of capital investment and talent investment; the innovation primacy of Xuzhou listed enterprises is not high. Finally, in view of the improvement of the innovation ability of listed enterprises in the core field, corresponding suggestions are put forward from the aspects of increasing innovation investment, optimizing the innovation environment and improving the innovation leading force in Xuzhou.

Verification of the sampling procedure for radioactivity analysis of waste and industrial material.

In accordance with ISO/IEC 17025:2017, the testing laboratory needs to verify its ability to properly perform methods. For radiological testing, the sampling does not affect the results directly, but it has to ensure that sample adequately represents the tested material. To verify the procedure, a sampling of red mud and bauxite ore was conducted. All samples were measured in identical geometry by HPGe spectrometer. The counting rates per unit mass in the recorded spectra were compared. For each measurement series, the mean and standard deviations of respected peaks were calculated, as well as average and standard deviation of all series. The obtained results of each individual series were considered satisfactory, i.e. sampling procedure ensures the representativeness of the bulk material, if it is within ± two standard deviations of the average of the mean values.

[Overview of Chinese medicinal materials industry in 2021 and development suggestions].

This paper introduced the overview of the "eight trends" of Chinese medicinal materials(CMM) industry in 2021, analyzed the problems of CMM production, and put forward development suggestions. Specifically, "eight trends" could be summarized as follows.(1) The growing area of CMM tended to be stable, and some provinces began to release the local catalog of Dao-di herbs.(2) The protection process of new varieties accelerated, and a number of excellent varieties were bred.(3) The theory of ecological cultivation was further enriched, and the demonstration effect of ecological cultivation technology was prominent.(4) Some CMM realized complete mechanization and formed typical model cases.(5) The number of cultivation bases using the traceability platform increased, and provincial internet trading platforms were set up.(6) The construction of CMM industrial clusters accelerated, and the number of provincial-level regional brands increased rapidly.(7) Many new agricultural business entities were founded nationwide, and a variety of methods were used to drive the intensified development of CMM.(8) A number of local TCM laws were promulgated, and the management regulation of food and medicine homology substances catalogs was issued. On this basis, four suggestions for CMM production were proposed.(1) It is suggested to speed up the formulation of the national catalog of Dao-di herbs and carry out the certification of Dao-di herbs production bases.(2) Ecological planting of forest and grassland medicine should be further strengthened in terms of technical research and promotion based on the principle of ecological priority.(3) The basic work of disaster prevention should be paid more attention and technical measures for disaster mitigation should be developed.(4) The planted area of commonly used CMM should be incorporated into the national regular statistical system.

Quantity or quality? The impact of financial geo-density on firms' green innovation.

Green innovation is an essential support for environmentally sustainable development. However, little attention has been given to the impact of financial expansion on green innovation in the existing literature, and there is a lack of studies based on the perspective of the financial geographical supply structure. This study uses latitude and longitude information to construct firm-level financial geo-density data in China. It examines the impact of financial geo-density on a firm's green innovation and mechanisms. The results reveal that as financial geo-density increases, green innovation quantity increases, but green innovation quality decreases. The findings of the mechanism test indicate that an increase in financial geo-density decreases the cost of financing and boosts bank competition in the vicinity of the firm, hence resulting in a rise in the firms' green innovation quantity. Nevertheless, the degree of bank competition increased by financial geo-density increase negatively affects firms' green innovation quality. Heterogeneity analysis shows that financial geo-density has a more significant positive impact on a firm's green innovation quantity in high environmental regulation areas and high-pollution industries. Firms with low innovation capabilities are the main group responsible for the decline in green innovation quality. For firms located in low environmental regulation areas and medium- to light-pollution industries, financial geo-density has a more significant inhibition effect on green innovation quality. Further tests have shown that the extent to which financial geo-density enhances a firm's green innovation quantity diminishes as market segmentation increases. A new concept of financial development policies based on green development and innovation is presented in this paper for developing economies.