The issue of child obesity remains a prominent concern globally, recognizing that children are not only the future of individual families but also integral to the future of nations. This report aims to comprehensively examine the problem of child obesity by analysing variations in child obesity rates among the five boroughs of Ealing, Hammersmith & Fulham, Hounslow, Kensington & Chelsea, and Richmond in the UK, using knowledge in probability statistics. To delve into the data, it is hoped to calculate its impact on child obesity across three key dimensions: schools, families, and societies. For the study of child obesity differences in five regions, this report firstly divides these five regions into a group of two by two, after which the two-sample t-test function is invoked through MATLAB to detect the corresponding child obesity data in each two regions. Special emphasis is that the null hypothesis is set as no significant difference between the two samples in the detection process. Finally, according to the calculation results determine whether there is a significant difference between the two samples of child obesity. In the study of the influence of schools, families, and societies on the problem of child obesity, this report first chooses the ‘Corr’ function in MATLAB to determine the correlation between three factors and child obesity rates. After that report used the ‘Fitlm’ function to establish a linear regression model. Finally, by calculating the confidence interval of the regression model, to judge the reliability of the regression model. Through data analysis and modelling, it can be found that there are significant differences in child obesity rates between some regions. Through the correlation judgement, it is found that the factors of schools, families and societies are all positively related to the child obesity rates. Therefore, if the British government wants to better solve the child obesity problem, in addition to exploring the obesity problem between regions and modifying the relevant policies for different regions, it is also necessary to start from several perspectives in schools, families, and societies, to pay more attention to children's education, to give more help to unemployed families, and to increase the amount of children's exercise. Through the joint efforts of these, the problem of child obesity can be further solved more efficiently. In conclusion, data of this report only covers some boroughs in the UK, the results of the study may be somewhat one-sided. It is hoped that the choice of nations and variables selected for the data can be expanded later to further look for more factors affecting child obesity.

The sustainable development strategy plays a promoting role in the ESG disclosure system with Chinese characteristics, primarily stemming from the nation’s adaptation to globalization trends, the demand for sustainable development, and the changing needs of global investors. Its purpose is to encourage enterprises to focus on and actively fulfill responsibilities in environmental, social, governance, and other aspects, enhance transparency and trustworthiness, promote efficient allocation of capital, thus fostering the sustainable development of the entire socialist market economy system. Through integration of relevant data and understanding and analysis of the Chinese distinctive ESG information disclosure system, it is concluded that the system can promote the sustainable development of enterprises, maintain the stability of capital markets, and enhance public welfare, aligning with the objectives of sustainable development strategy. The promotion of the improvement and development of China’s distinctive ESG information disclosure system is based on the “dual carbon” target of sustainable development strategy.

With the rapid development of Airbnb in recent years, it has taken the main position in the sharing economy and also brought a great number of challenges to hotel competitors and regulators for its volatile supply. The benefit of agglomeration relative to Airbnb listing position and blocking behavior of listings has been discussed by Xie et al. (2019) and Peng (2020), and how the locational factor affects the blocking behavior remained unanswered. This paper will select the New York Airbnb listing data from Oct. 2014 to Dec. 2016 to compile the distance binary variables in 3 groups to identify whether they are near the top 10 attraction and then perform the logistic regression and t-test, which delineates the relationship between blocking behaviors and distance to attractions. We find that almost all top attraction variables significantly affect the Airbnb listings’ blocking behaviors, but no clear pattern of direction is shown. Considering the negative elasticity of income for NYC cab working hours, this paper performs t-tests on attractions’ yearly revenue indicating that while the coefficient estimates are both positive, their yearly revenue consistently has no significant differences of income in the 200m radius distance variable and no consistent result can be obtained in comparing attractions’ yearly revenue with opposite signs coefficient.

The tourism economy and ecological environment constitute a structurally complex interactive coupled open system, and correctly understanding and handling the relationship between them is key to sustainable development. Based on data from six provinces in the Pearl River Basin from 2018 to 2020, this study explores the spatiotemporal coupling characteristics of the tourism economy and ecological environment systems in the Pearl River Basin and predicts the coupling coordination degree for the next three years using a coupled coordination model and a grey G.M(1,1) prediction model. The results indicate that the comprehensive level of the two systems is declining overall, with significant spatial differentiation. The evaluation index of the tourism economy can be divided into two stages, with an overall upward trend from 2018 to 2019 and a downward trend in 2020, showing an east-high and west-low spatial distribution pattern. The ecological environment exhibits various trend changes such as V-shaped, inverted V-shaped, and increasing trends, with the lagging system mainly in the form of tourism lag. Most provinces are in a high-level coupling stage, with the coupling coordination degree showing a downward trend and the coordination level not high, presenting a spatial distribution pattern of “high downstream, low upstream.” In the coming years, the coupling coordination degree of most provinces in the Pearl River Basin will slowly rise, but it will take a long time to achieve an upward shift in coordination level.

In the current fierce market competition, if a company wishes to enhance its competitiveness, it must improve the work efficiency of its employees and the quality of its products. Simultaneously, the significance of internal controls lies in ensuring the reliability of financial reports, and the authenticity and accuracy of accounting information. Robust and effective internal controls are vital in preventing financial fraud within companies. This paper selects company A, a company that received an adverse opinion in its 2022 internal audit report, as a case study. By discussing its current state of internal controls and analyzing the issues in the five elements of internal control, which include (1) a weak internal environment, (2) poor risk assessment capabilities, (3) lack of control activities, (4) delayed information and communication, and (5) ineffective internal monitoring. Based on the issues identified in the case study, this paper proposes recommendations for improving internal controls in listed companies, aiming to provide references for business development.

This paper selects Three Squirrels as the case company and uses the Balanced Scorecard to integrate financial and non-financial indicators for performance evaluation. The findings reveal that, from a financial perspective, Three Squirrels has a good capacity for debt repayment and operational capabilities, but there is a need to focus on improving profitability and development potential. From the customer perspective, the company enjoys high brand recognition. Internally, the management aspect shows that expense ratios during the period need control, and the product structure is relatively concentrated. In terms of learning and growth, Three Squirrels focuses on talent development, yet the investment in research and development is insufficient. Based on these findings, the paper provides targeted optimization suggestions: first, to improve the logistics system; second, to optimize the product structure; third, to increase research and development investments; and fourth, to enhance sales channels.

Based on the Beijing University Digital Inclusive Finance Index and the 2014-2018 China Household Finance Survey data, this paper empirically verifies the specific impact of digital inclusive finance on alleviating relative poverty among Chinese residents using a panel fixed effects model. The research results indicate that the level of development and coverage breadth of digital inclusive finance have a significantly positive impact on alleviating relative poverty among residents. This is because digital inclusive finance increases residents’ employment opportunities, raises employment income, and prompts the expansion of social capital. The study also finds regional and age group differences in the alleviation effect of digital inclusive finance on relative poverty among residents, with the alleviation effect in the western region higher than that in the eastern region and higher among non-elderly groups compared to elderly groups. Therefore, empowering finance with digital technology is an effective way to address relative poverty among residents.

Marketing communications are critical to the strategies of today's organisations to effectively engage their target audiences and it relies on a variety of theories. Hierarchy of effects modelling is one of the ideas that marketers can use to generate messages from early awareness to actual action. Given the importance and continued relevance of the Hierarchy of Effects Model, this study explores many of the features of the Hierarchy of Effects Model by examining a number of journal publications; it also examines the different evolutions of the Hierarchy of Effects Model, its modern applications and challenges, and its latest improvements. The aim is to gain a deeper understanding of the model and its continuing value in today's rapidly changing marketing communications environment, so that the Hierarchy of Effects model can play a vital role in various fields.

With the rapid development of information technology, digital media plays an increasingly important role in the tourism industry. Since 2023, the success of tourism in places like Zibo shares similarities in marketing approaches, which this study categorizes as the “Cultural and Tourism New Media” marketing model. This paper utilizes tools such as SPSS 26.0 and AMOS 23.0 to analyze the Z generation consumer group, exploring the impact of factors such as consumer activity, local suitability, and endorsement of promotional methods on the willingness to accept the “Cultural and Tourism New Media” marketing model. The results indicate that consumer activity, local suitability, endorsement of promotional methods, consumer perception, and trust have a positive impact on the willingness to accept the “Cultural and Tourism New Media” marketing model, while negative media marketing image has a negative impact on acceptance. Finally, recommendations are summarized for the development of the “Cultural and Tourism New Media” marketing model and the cultural tourism industry.

As a pivotal institution serving technology innovation enterprises over the long term, Silicon Valley Bank boasts a broad spectrum of business scopes and stands as a crucial financing conduit for both technology firms and professionals. Following the bankruptcy declaration of Silicon Valley Bank due to losses incurred from divesting its bond investments, this seismic event in the financial sector is poised to trigger market turbulence and exert significant pressure on technology companies. Clarifying the repercussions of this event on the market and technology firms can foster market stability and the robust development of enterprises. Consequently, this study focuses on the bankruptcy of Silicon Valley Bank as the research subject, delves into its impact on the business models of small and medium-sized enterprises (SMEs), and suggests corresponding remedies. Firstly, through a thorough examination of the causes behind Silicon Valley Bank's bankruptcy, its deficiencies in risk management and financial services are brought to light. Secondly, by scrutinizing the business models of SMEs, issues pertaining to financing, risk mitigation, and business expansion are identified. Building on this foundation, solutions grounded in financial technology are proposed, leveraging technologies such as big data and artificial intelligence to bolster the risk management capabilities of SMEs, optimize financing structures, and enhance operational efficiency. The conclusions and findings of this study offer valuable insights and guidance for enterprises to navigate external risks effectively and safeguard the healthy development of the market.