Suchergebnisse

This paper first theoretically analyzes the influence of the development of Fintech on the operating benefit of banks from the perspective of competition and diminishing marginal benefit, then the annual data of 38 banks listed in China's A-share market from 2015 to 2020 were selected for empirical and robustness tests by system GMM. The results show that there is a significant "inverted U-shaped" relationship between the development of Fintech and the operating benefit of banks, which is robust and dependable. Finally, relevant feasible suggestions for the development of Fintech in banks are provided, in order to help banks' digital transformation.

From the perspective of innovation and entrepreneurship, we have collected relevant research results in the past few years (2018-present). Based on the collected data, a significant amount of research has been conducted up to the year 2022, indicating that experts and scholars are increasingly focused on the transmission of digital finance to a higher standard of development of the real-economy. Existing research is largely devoted to the transmission mechanisms of "digital finance-innovation and entrepreneurship" or "innovation and entrepreneurship-the high-quality development of the real-economy". There is little overview of "digital finance-innovation and entrepreneurship-the quality development of the real-economy." In this paper, we review relevant literature in the context of innovation and entrepreneurship, which may provide some useful guidance for improving the digital financial system and enhancing the growth of the real-economy.

This paper takes 12 ecologically fragile provinces in Western China as the research object, calculates the comprehensive evaluation value of ecological environment and the development level of digital Inclusive Finance of 12 provinces in Western China from 2011 to 2020 by constructing the evaluation index system, and analyzes the changes of ecological environment and digital Inclusive Finance coordination scheduling by using the coupling coordination degree model. The results show that: the overall ecological environment assessment of 12 provinces in the west is on the rise; The level of digital Inclusive Finance has also increased year by year. The coordination degree is on the verge of maladjustment to primary coordination, and the coordination index is on the rise, which indicates that the relationship between the western ecological environment and digital Inclusive Finance is gradually easing and tends to coordinated development.

Fosetyl-aluminum is a widely used ionic fungicide. This pesticide is not amenable to the common multi-residue sample preparation methods. Herein, this paper describes a novel method for the simple and sensitive determination of fosetyl-aluminum residue in wheat flour. The sample preparation method involved extraction with water under ultrasonication and subsequent dilution with six-fold acetonitrile. The fosetyl-aluminum concentration was determined by hydrophilic interaction liquid chromatography tandem mass spectrometry. The limit of detection and quantification were only 5 and 10 ng/g, respectively, which meet the requirement of the current European legislation. Matrix-matched linearity (r2 = 0.9999) was established in the range of 10–2000 ng/g. Satisfactory recoveries were achieved in the range of 95.6% to 105.2% for three levels of spiked samples (10, 50, and 100 ng/g). Finally, the method was applied to analyzing 75 wheat flour samples produced in four provinces in China. Two samples were positive with concentrations over the limit of detection. This is the first method focusing on fosetyl-aluminum determination in wheat flour with an extract-dilute-shoot strategy and is very promising for the routine quality control of fosetyl-aluminum in similar cereal matrices.

This paper uses the text data mining method to separate the intonation in the annual reports of credit risk enterprises and non-credit risk enterprises, quantify it, and study the impact of annual report intonation on the effectiveness of credit risk prediction. In the empirical research, this paper uses the factor analysis method for some traditional financial variables, and uses the extracted components and intonation variables to predict the credit risk through the logistic model. The results show that the tone of enterprises with credit risk is more negative, and the degree of pessimism is significantly positively correlated with the probability of credit risk. By comparing the ROC curves of the prediction results before and after the addition of intonation variables, adding intonation variables to the credit risk prediction based on financial variables can improve the effectiveness of the prediction.

Big data technology can collect data, store it, mine it, and create an accurate portrait. It can assist financial institutions in resolving information asymmetry between banks and enterprises, as well as lowering the likelihood of default of small and medium-sized financing enterprises (SMEs). The credit risk system for SMEs in supply chain finance can realize "visualization" management of credit risk with the help of open public data in government affairs, collaborative development of various technologies, and the establishment of an ecological platform with transparent and accurate data portraits. The platform with accurate risk warning capability can reduce the risk monitoring cost and improve the risk management efficiency of financial institutions. The core enterprises are more willing to grant credit to SMEs through the big data technology supervision platform, which significantly improves the financing efficiency of SMEs. Moreover, a better financing credit circumstance also could improve transaction efficiency of enterprises and deeply connect the business relationship between enterprises. The main conclusion of this research: big data technology has a significant impact on supply chain in the digital economy era. Firstly, big data technology can identify credit risks accurately, which narrows the "information gap" between financial institutions and supply chain financing enterprises, and lower the likelihood of credit default. Secondly, financial institutions can allocate funds accurately based on the "visualization" information provided by the big data platform, and strengthen supervision of the use of funds. Lastly, the supply chain finance credit risk supervision system based on big data technology promotes the deep integration of big data and real economy. Therefore, in order to ensure the sustainable development of supply chain finance and financing risk management, it is necessary to create a digital ecosystem of supply chain finance with supply chain finance control tower as its core, as well as a supply chain finance credit risk control system based on big data in the context of the continuous development of big data technology.

We estimate the probabilities of informed trading (PIN) for small and large trades and then investigate their determinants. We model a competitive dealership market for equities with two order sizes using a Poisson process mixture model and use TORQ data to estimate the parameters for the model via the method of maximum likelihood. The PIN for small and large trades are functions of the resulting parameter estimates. In our empirical tests, we find that although for the majority of securities information contents in small and large trades are similar, the average PIN for small trades is significantly higher than that in large trades. We also find that trading volume and institutional trading are the primary determinants of information content in small and large trades, respectively, but not of both. A further investigation of the securities with the largest differences in terms of PINs for small and large trades reveals that trade size alone distinguishes those firms from the rest – all eight firms reside in the lowest quartile in terms of average trade size.

This volume contains essays that examine contemporary urban and regional planning and development in China. Through in-depth theoretical and empirical analysis, it provides insights into the urban policies and operational mechanisms of this colossal transitional economy which has presented unprecedented challenges and dynamics. Inside, readers will discover the causes and consequences of rapid urbanization that have led to a series of environmental, economic and social planning and management measures designed to achieve quality urban living. The essays also detail efforts in adopting the latest options in city building such as specific urban planning approaches in developing large city regions, building cities without slums, constructing new townships and green urbanism, including eco-city and sustainable transport. In addition, coverage explores financial management and support as a means to encourage urbanization and urban economic growth in less-developed regions. Overall, the volume offers a wealth of concrete, detailed information on conditions in different regions of China and features an extensive range of content, methods and theory. It provides readers with a comprehensive portrait of the chain relationship between rapid urbanization, spatial planning and management throughout the country. The book will serve as a useful reference for national and international consultancy services doing business or serving public interest in China. It will also be of interest to an international audience seeking a better understanding of urban development and planning in China, including university teachers, students, government agencies and general readers.

BACKGROUND: Respect for patients' autonomy is usually considered to be an important ethical principle in Western countries; privacy is one of the implications of such respect. Healthcare professionals frequently encounter ethical dilemmas during their practice. The past few decades have seen an increased use of courts to resolve intractable ethical dilemmas across both the developed and the developing world. However, Chinese and American bioethics differ largely due to the influence of Chinese Confucianism and Western religions, respectively, and there is a dearth of comparative studies that explore cases of ethical dilemmas between China and the United States. METHODS: This paper discusses four typical cases with significant social impact. First, it compares two cases concerning patient privacy: the "Shihezi University Hospital Case", in which a patient was used as a clinical teaching object without her permission, and the "New York-Presbyterian Hospital Case", in which the hospital allowed the filming of a patient's treatment without his consent. Second, it compares two cases regarding patient autonomy and potentially life-saving medical procedures: the "Case of Ms. L", concerning a cohabitant's refusal to sign a consent form for a pregnant woman's caesarean, and the "Case of Mrs. V", concerning a hospital's insistence upon a blood transfusion for a dissenting patient. This paper introduces the supporting and opposing views for each case and discusses their social impact. It then compares and analyses the differences between China and the United States from cultural and legislative perspectives. CONCLUSIONS: Ethical dilemmas have often occurred in China due to the late development of bioethics. However, the presence of bioethics earlier in the US than in China has not spared the US of ethical dilemmas. This paper highlights lessons and inspiration from the cases for healthcare professionals and introduces readers to the role and weight of privacy and autonomy in China and in the US from the perspectives of ...