bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise de políticas públicas: um estudo desenvolvido na terra indígena Cerrito de Eldorado-MS
Authors: Silva José Uilson da , Rauber Pedro , Lima Mariel Wágner Holanda , Nunes Rodolfo Gomes , Brandão Rosimeire Santos Vieira , Lopes Eloísa Karine Braga , Reis Geancarla Sousa , Silva Júnior Josivan
Published: April 2024

O estudo em questão investiga as políticas públicas na Terra Indígena Cerrito, situada em Eldorado, Mato Grosso do Sul, com o propósito de promover a igualdade de direitos culturais e de reconhecimento. Utilizando uma abordagem integrada de métodos quantitativos e qualitativos, foram coletados dados por meio de acesso a sistemas de informação em sites governamentais, bem como através de pesquisas em bases de dados renomadas, como Scielo e Google Acadêmico. Além disso, entrevistas foram conduzidas com membros da comunidade local, proporcionando uma compreensão abrangente das percepções e experiências em relação às políticas públicas implementadas. A análise meticulosa desses dados e documentos comprobatórios evidencia a relevância das políticas públicas na garantia da participação plena e ativa na promoção dos direitos sociais para todos os estratos da sociedade, especialmente para os povos indígenas, que historicamente enfrentam desafios únicos em termos de reconhecimento, acesso a serviços básicos e preservação de sua cultura e identidade. Ao destacar as complexidades e nuances envolvidas na implementação das políticas públicas em contextos indígenas, este estudo contribui significativamente para a compreensão mais ampla dos fatores que influenciam o desenvolvimento e a eficácia dessas políticas. Além disso, ressalta-se a importância da participação comunitária e do diálogo intercultural na formulação e execução de políticas públicas, visando garantir que as abordagens adotadas sejam culturalmente sensíveis, socialmente justas e efetivas em atender às necessidades específicas das comunidades indígenas. Concluindo, o estudo oferece diretrizes para profissionais, formuladores de políticas e pesquisadores interessados no desenvolvimento e na implementação de políticas públicas voltadas para povos indígenas, fornecendo uma base para futuras intervenções e estratégias de melhoria social e cultural.
Análisis de la pesquería artesanal de sardina (Sardinella aurita) en Venezuela
Authors: González Cabellos Leo Walter , Eslava Nora , Troccoli Luis , Guevara Merchán Francisco Javier
Published: April 2024

La sardina (Sardinella aurita) es una especie que se explota artesanalmente desde hace 74 años en zonas cercanas a las costas de los estados Sucre y Nueva Esparta, Venezuela, donde la productividad biológica es generalmente alta debido a eventos de surgencia. Como todos los recursos pelágicos costeros, la sardina presenta fluctuaciones estacionales en su biomasa por efectos de las condiciones biológicas y ambientales relacionadas con los reclutamientos, y la actividad pesquera artesanal. En los últimos años la pesca ha experimentado una fuerte disminución de las capturas y su efecto ha provocado impactos des- favorables en los subsectores de extracción y procesamiento, donde la oferta y la demanda del recurso dominan el escenario socio-económico, con el consecuente aumento en el esfuerzo y los riesgos para el recurso. En tal sentido, se consideró conveniente analizar la pesquería basado en un modelo holístico e información técnica y científica, a través de dos enfoques en el contexto biológico-tecnológico y socio-económico, con el fin de explorar posibles soluciones en la evaluación y toma de decisiones en la gestión pesquera. Se demostró que la pesquería podría colapsar por la competencia del recurso, desconocimiento de la biomasa pescable e insuficientes medidas de gestión, por lo que se hace necesario investigar la pesquería de sardina con enfoque ecosistémico y ampliar las medidas de regulación, aplicando cuotas de captura a fin de mantener una biomasa saludable a través de un efectivo manejo precautorio.

DOI: https://doi.org/10.54167/tch.v10i2.575
IntelliCare: Integrating IoT and Machine Learning for Remote Patient Monitoring in Healthcare: A Comprehensive Framework
Authors:   Research Scholar, Department of Computer Science and Engineering, Syed Ammal Engineering College, Ramanathapuram - 623502, India, Gautham Gautham ,   Assistant Professor, Department of Computer Science and Engineering, Syed Ammal Engineering College, Ramanathapuram - 623502, India,   Assistant Professor, Department of Computer Science and Engineering, Syed Ammal Engineering College, Ramanathapuram - 623502, India, Pandian Deepika , Batcha Cithi F. Saboor
Published: April 2024

The development of smart health monitoring systems has emerged as a consequence of the integration of Internet of Things (IoT) and Machine Learning (ML) technologies within the healthcare sector. This transformation has significantly reshaped patient care methodologies, shifting from traditional approaches to electronic healthcare systems. Leveraging IoT technology fosters a contemporary medical device ecosystem, fostering seamless communication among healthcare professionals, patients, and medical devices. Through the deployment of IoT devices, encompassing sensors and transmitters, coupled with Machine Learning algorithms, various applications have arisen, spanning from remote patient monitoring to real-time health assessment during ambulance transit to medical facilities. This proposed framework aims to monitor essential physiological parameters including body temperature, blood pressure, heart rate, sweat analysis, glucose levels, ECG, EEG, and pulse oximetry, transmitting pertinent data for tailored processing and analysis. Implantable IoT devices serve as conduits for wireless communication, data storage, centralized computation, and portable processing, facilitating connectivity among sensors, GPS-enabled ambulances, medical practitioners, and patients. To mitigate potential health risks, sensors are equipped with Machine Learning capabilities to promptly assess illness severity and recommend appropriate interventions, potentially triggering automated alerts to healthcare providers. This seamless exchange of information via IoT and wireless networks enables rapid communication between doctors and patients, facilitating personalized medical recommendations, prescription management, and hospital selection based on individual health profiles.
The Impact of the COVID-19 on the Consumption Structure of China
Authors: Zhang Yonghao
Published: April 2024

This paper summarizes and describes the impact of the COVID-19 on the consumption structure of China. The study conducts analysis on consumption from the perspectives of the total domestic consumption scale, the consumption structure and green consumption during the pandemic, and then summarizes the positive impact of boosting consumption and promoting economic recovery. It also explains how consumption began to recover as COVID-19 was effectively controlled. The epidemic had a huge impact on the domestic and international economy, including the impact on foreign trade and GDP growth, as well as the obvious negative impact of the COVID-19 on the consumption structure of the population. As the epidemic has been effectively controlled, the economy is slowly recovering. The contribution of this paper is to study the impact on the consumption status of Chinese residents after the pandemic, the extent of the impact caused is of great significance, and it serves as a revelation for the recovery of the economy in the future.
An Analysis of Chinas Housing Purchase Situation Based on Real Estate Policies
Authors: Wei Yinian
Published: April 2024

Because of some new policies in China, the government has begun to lower house prices and encourage people to buy more houses, at least in Anhui. However, the reduced housing prices have not led to an increase in residential housing sales. So the author analyzes the reasons for the current insufficient purchasing power of Chinese residents' housing based on existing literature and data. The result shows that, in the context of contemporary society, personal income levels have significantly decreased. This decline is influenced by various factors, including tax policy reforms and the profound impact of the COVID-19 pandemic on the global economy, including China. At the same time, the hedging ability of the real estate industry has also decreased, which hinders the improvement of personal purchasing power. Although the real estate market has shown strong risk resistance and has gradually recovered from the initial impact of the epidemic, the lingering impact and uncertainty still affect individual purchasing power.
Research on Apple's Marketing Strategy
Authors: He Mingxuan
Published: April 2024

With the rapid development of science and technology, electronics continue to emerge, and the market competition is increasingly fierce. Apple, with successful marketing strategies, and strong technical support, emerged among many electronics products, becoming the industry giant. Since Apple launched the App Store, the online application market has been developing rapidly, which not only promotes mobile Internet. The development of the network has changed the revenue structure of mobile value-added services and promoted the re-integration and improvement of the mobile network industry chain. In this stage, how to enter and seize the market better and faster has become the primary problem of Apple. This paper discusses the current market situation of Apple, analyzes the target market selection, and focuses on the main competitive advantages of Apple. Then, by introducing a marketing information management system, a series of marketing channels are organized for Apple and marketing countermeasures. The management system enables to effective implementation of the marketing and promotion plan, as well as evaluation, monitoring, and update of the implementation results in a reasonable and timely manner, laying a good foundation for successful marketing. The work provided valuable advice. Through an in-depth analysis of Apple, people can deeply understand its core competitiveness and enterprise development of the layout of ideas. The paper also provides examples and references for enterprises to optimize their business models.
Financial Analysis and Future Outlook of Ford Motor Company
Authors: Li Haorun
Published: April 2024

Ford Motor Company is an American multinational automaker founded in 1903. It is one of the largest automobile manufacturers in the world. This research delves into the financial condition of Ford Motor Company, an automotive industry leader, to provide a comprehensive analysis of its financial performance and prospects. Against the backdrop of an evolving automotive landscape and increasing consumer demand for sustainable and technologically advanced vehicles, this study is timely and relevant. The primary objective of this paper is to scrutinize Ford's financial health and prospects in-depth. The research combines quantitative data analysis of Ford's financial statements, historical performance, and market trends with a qualitative assessment of its strategic positioning and competitive environment. The findings indicate that while Ford faces certain financial challenges, it possesses the potential for growth and innovation. Recommendations include leveraging 5G technology to enhance product quality and cautiously exploring opportunities in the electric vehicle sector.
Analysis of the Application of XGBoost in Exchange-Traded Funds
Authors: Peng Haoran
Published: April 2024

In the quickly expanding landscape of contemporary financial markets, the paramount significance lies in comprehending and effectively employing novel technologies. Trading, a practice that bears resemblances to the use of sticks, has become a prominent option for structuring investment portfolios owing to its inherent diversification properties. This concept has the potential to enhance individuals' comprehension and decision-making abilities inside the intricate and densely populated realm of contemporary finance. This research aims to explore the correlation between Exchange-Traded Funds (ETFs) and the utilization of sophisticated machine learning methodologies, with a particular focus on XGBoost (eXtreme Gradient Boosting). The study additionally offers an extensive overview of the significance of artificial intelligence (AI) in the field of finance. It employs the concept of Xgboost to address the challenge of handling the substantial volume of datasets in the stock market. This approach is based on the utilization of decision trees, which are a robust machine learning algorithm. The objective is to examine and investigate the profound impact of AI in the realm of finance.
The Current Sales Status and Countermeasures of Chinese New Energy Vehicles in Europe
Authors: Gao Ningyuan
Published: April 2024

With the expansion of China's new energy vehicle overseas business, Europe has replaced Asia as China's largest export destination of new energy vehicles in 2021. As the world's second-largest and second-fastest-growing new energy vehicle market, Europe contains plenty of opportunities and challenges for Chinese car manufacturers. Through analysis, the author found that China's new energy vehicle brands have shown a rapid development trend in Europe in recent years and are operating well. This paper aims to deeply explore the main problems they face and find corresponding solutions based on this actual situation. After using two research methods: literature analysis and data analysis, this paper found that Chinese manufacturers have some problems with international competitiveness, brand image, sales and service capabilities, supporting facilities, and resistance to political risks, and measures need to be taken to solve them. In addition, Chinese car companies have also encountered the serious problem of insufficient basic charging facilities in the European market, and are affected by political factors such as the Russia-Ukraine conflict and countervailing investigations.
Causes and Effects of the Interest Rate on Treasury Bounds and Cooperate Bounds Controlled by the FRB
Authors: Li Tianlai
Published: April 2024

This research paper focuses on the topic of the causes and effects of the interest rate on bounds and stocks controlled by the Federal Reserve Bank and the evaluation of an oil company and innovative technology company. At the beginning of this research paper, this paper introduces the background of this research paper: the changes in interest rates affect bonds and stocks, which also have an impact on their value. For investors, how to choose bonds and stocks with value through different situations caused by changes in interest rates has become a big problem for them. Also, this paper summarizes the analysis part and makes two conclusions about the topic. One is investors should be concerned about the changes in interest rates, which have an impact on the values of the bounds and stocks. The other conclusion comes out and clearly indicates that risks in investing in bonds and stocks are unpredictable.
A Study of Tesla's Impact on China's New Energy Vehicle Market
Authors: Luo Yihong
Published: April 2024

Nowadays, the issue of carbon emission is getting more and more attention, and China also attaches great importance to the development of the new energy industry. China is steadily developing its new energy automobile industry, and at the same time, new energy automobiles have provided a new "track" for the transformation and upgrading as well as the high-quality development of China's automobile industry. In this context, this paper provides an in-depth study of Tesla's market strategy and its impact on China's new energy vehicle market, outlining the complex interplay between market dynamics, government policies, and corporate strategies, and covering a number of important aspects, including government support, market expansion, consumer demand, competition and pricing strategies, product differentiation, infrastructure development, technological advances, and raw material foreign trade relations. Overall, these results and data show that Tesla's impact on China's new energy vehicle market is very important, intensifying the competition in China's new energy vehicle market, prompting similar new energy vehicle companies in China to innovate, improving the industrial level of China's new energy vehicle companies, and helping to improve China's policies in this area.
The Influence of Short Video on Consumer Consumption Behavior under the Perspective of Impulsive Consumption
Authors: Wang Ruohan
Published: April 2024

Nowadays, the rapid development of mobile media technology causes short videos to become one of the most useful media. Short videos not only provide interesting daily life sharing but also contain lots of product merchandising. This type of merchandising always makes people appear the impulse consumption behavior. Therefore, we started researching the effect short videos have on consumers' consumption behavior under the impulsive consumption perspective. Based on this article, we give a detailed concept explanation of impulsive consumption, merchandising, and the SOR model we used in the following research. Besides, we also define the short videos. Then, we analyze the reasons short videos stimulate people's impulse consumption behavior using the SOR method, the factors that affect consumers consumption behavior, and the situational factors that affect consumers behavior. We compare the difference between offline stores promoting strategies and online promoting strategies in short videos, and analyze the cause of those factors using the SOR model. As a consequence, we find out that those factors we listed can explain the influence short videos bring to consumer consumption behavior.
Analysis of Enterprise Value Assessment: Evidence from Xiaomi Group
Authors: Deng Ruyue , Hua Meng
Published: April 2024

Xiaomi's initial public offering in Hong Kong in 2018 coincided with a downturn in the Hong Kong stock market, with several mainland companies listed in Hong Kong falling below the issue price on the first day of listing. Investors have to be more cautious nowadays under the complicated international background such as the Fed's interest rate hike. On this basis, this study chooses to assess the enterprise value of Xiaomi, using the EVA valuation method and combining the various data disclosed in Xiaomi's annual reports for 2018-2022 to measure the EVA value. After measuring the data required in EVA model, Xiaomi's overall trend in recent years has first increased and then decreased. In 2018-2019 the overall development is good, and the market outlook is vast; but in 2020-2022 the development is limited due to its own and external general environment, of which 2022 experiences a substantial decline since the IPO. Xiaomi's complex attributes make its valuation difficult, and these results estimate its intrinsic value through a clear method for investors.
Cultural Differences and Communication in the Internationalization Strategies of Multinational Enterprises
Authors: Li Chenghao
Published: April 2024

In the process of internationalization, multinational companies often face employees and customers from different cultural backgrounds. This makes cultural differences and communication major challenges. This paper analyzes communication patterns and values between different cultures and their impacts on business operations and teamwork, for instance, good cross-cultural communication can help a company to diversify, while poor cross-cultural communication can create conflicts, misunderstandings, and impediments to proper functioning. This paper also proposes effective cross-cultural communication strategies, increasing cultural awareness and sensitivity, providing employees with cross-cultural communication skills, creating an inclusive corporate culture, adopting a common working language, and using technological tools to promote cross-cultural communication. The paper concludes that cross-cultural communication is very important for Multinational Corporations (MNCs) and that MNCs may face more challenges in cross-cultural communication in the future environment, this paper hopes to offer some theoretical references for future studies.
Research on the Impact of Inflation on Industrial Upgrading in Developing Countries from a Global Perspective
Authors: Sun Ruibin
Published: April 2024

This study embarks on a mission to scrutinize the primary causes of global inflation and their subsequent impact on industrial upgrading in developing nations, all the while proposing efficacious strategies that could counterbalance the challenges presented by inflation. The broader aim is to trigger momentum towards industrial upgrading and economic development within these countries, specifically in the context of modern economic globalization.The study is situated against the backdrop of two key phenomena: the widespread occurrence of global inflation and the formidable challenges faced by developing countries. It employs robust research methodologies including comprehensive literature review to probe into the intricate relationship between inflation and industrial growth.The central objectives covering an extensive understanding of inflations specific influences on industrial upgrading and exploring potential remedies to mitigate adverse impacts.It has also emerged that inflation oftentimes unfolds new opportunities that can be exploited for economic growth. To leverage these opportunities and strive towards industrial upgrading and economic development, the study proposes multiple strategies for developing nations.By adopting these approaches, it may be possible to overcome the obstacles posed by inflation.
Research on Hospital-Based Health Technology Assessment in Clinical Application Management of Medical Technology in Public Hospitals in China: Hainan Province Sample
Authors: Guo Yujuan
Published: April 2024

Though investigating the knowledge of professional personnel on medical technology management, this study aimed to explore the establishment of an electronic HB-HTA approach in clinical application management of medical technology in public hospitals. The study designed a questionnaire to collect data and recruited a total of 1089 professional staff from 16 hospitals in Hainan. Medical staff had limited awareness of medical technology clinical application management and the HB-HTA approach. The working years, education level, and professional title level of medical staff were positively correlated with the awareness of medical technology management (P<0.05). In addition, the professional titles of medical staff were positively correlated with awareness(P<0.05). The higher the professional title level, the higher the awareness degree, followed by the correlation of working years. To increase the awareness and use of clinical applications of medical technology, the HB-HTA should be well organized. The electronic HB-HTA approach should be strongly formulated and undertaken by the medical staff in clinical application management of medical technology in public hospitals.
The Impact of Global Economic Policy Uncertainty on Global Grain Prices --Based on the TVP-VAR-SV Model
Authors: Chen Ruide
Published: April 2024

Grain products are essential for human survival and economies, and their price fluctuations significantly impact global economic stability. Recent frequent uncertain events have made global economic policy uncertainty a major factor in global food price fluctuations. This study choose European debt crisis, the COVID-19 pandemic, and the Russo-Ukrainian war as three typical type of uncertainty event. And used TVP-VAR-SV model to examine the impact of global economic policy uncertainty on the prices of beans, maize, rice, and wheat. The result shows policy uncertainty leads to fluctuating grain prices, with food grains (rice, wheat) and feed grains (beans, maize) reacting differently. And different types of uncertainty events have different effects, with the pandemic having the greatest effect. Finally, the paper suggests strategies for global food security, including improved information communication, policy control, early warning systems, stable economic policies, and supervision of the agricultural futures market.
Analysis of the Impact of Population Aging on Inflation
Authors: Cui Yunmeng
Published: April 2024

The essay investigates the impact of population aging on inflation. Inflation is a long-term macroeconomic problem. For a long time, domestic and foreign experts have focused on the economic factors that cause inflation, while ignoring a major ongoing event, namely, population aging. As aging becomes more and more serious, it attracts more and more attention. Aiming at the above problems, this paper adopts the review method to carry out studies on the connection between inflation and population aging, which is divided into three major parts; the first part briefly analyzes the aging population that exists now; the second part describes the process and pattern of inflation; the third part explores the effect of population aging on inflation. It is concluded that the rate of saving will decline as the population ages, weaken the interest rate elasticity of total consumption, and reduce the labor-intensive industries, thus inhibiting the economic development of China.
Financial Analysis and Valuation of PepsiCo, Inc.
Authors: Liu Hongxuan
Published: April 2024

As a leading brand in the food and beverage industry, Pepsi possesses strong competitiveness within its sector and remains highly attractive to investors. For novice value investors, the process of identifying undervalued stocks and assets for potential future growth and returns is a crucial consideration. This article aims to offer simplified information and investment strategies to amateur value investors through the utilization of basic value investment analysis. The study primarily examines the key accounting policies of PepsiCo. Subsequently, it gathers financial data from the 2022 annual reports of PepsiCo and its major competitors, namely Coca-Cola, Monster Beverage, and Keurig Dr. Pepper. Financial ratios are calculated and used as the basis for comparative analysis by applying relevant formulas. Additionally, this analysis includes an evaluation of price-earnings ratios, price-earnings growth ratios, and major risk assessments. The findings indicate that despite having sound accounting policies and a reasonable market-to-book ratio, PepsiCo needs to improve in terms of liquidity, solvency, profitability, and other aspects, suggesting that its stock value might be overestimated. Consequently, it is concluded that there may be better investment choices than PepsiCo at present. Existing investors, however, may opt to retain their holdings and await a more favorable market environment.
An Empirical Review of Capital Structure Decision-Making
Authors: Tan Mengxi
Published: April 2024

The capital structure reflects the proportional relationship between a company's debt and equity, indicating the company's ability to repay debt and refinance. The quality of the capital structure determines the company's future profitability and development trend, serving as an indispensable indicator of the company's financial situation. However, with approximately 70 million companies in the global market, their scales and operating conditions vary in stability and growth. Additionally, their financial and asset structures differ significantly and are subject to macroeconomic fluctuations every year. The risk preferences and attitudes of managers and investors in every enterprise are subjective and affect the development plan of the enterprise. Moreover, tax and fiscal policies in different countries and regions also influence the capital strategies of enterprises. Furthermore, after a successful listing, the capital structure of the enterprise undergoes fundamental changes, diversifying the sources of funds and experiencing new changes in operating models, which is beneficial to the future operational planning and financial strength of funds. Nevertheless, not all companies that go public are beneficial to their development, such as Huawei, Heinz Group, Koch Industrial Group, etc., due to changes in capital structure after going public being detrimental to future corporate profits. Hence, the capital structure of enterprises in different countries, regions, or types of scale needs to be tailored to local conditions. Enterprises should analyze specific situations to establish a more reasonable capital structure with the aim of optimizing company operations.
Analysis of the Impact of Quantitative Easing Monetary Policy on the Japanese Economy
Authors: Yang Yuxin
Published: April 2024

Quantitative easing (QE), which was implemented as a measure to address deflation and promote economic growth, is subject to varying interpretations regarding its effectiveness to Japan economy. Supporters attribute the efficacy of quantitative easing (QE) to its role in mitigating a more severe economic decline through the stabilization of asset prices and the maintenance of low interest rates, so preventing future crises. Nevertheless, it is important to acknowledge that divergent viewpoints shed light on the challenges associated with attaining long-term economic expansion. These challenges are often attributed to persistent structural concerns such as a progressively aging population, restrained levels of consumer demand, and cautious levels of company investment. Critics express apprehensions regarding the inadvertent ramifications of extended quantitative easing (QE), encompassing imbalances within financial markets and potential threats to financial stability. This abstract presents a synthesis of several perspectives, highlighting the intricate relationship between quantitative easing (QE) policies and Japan's underlying economic issues. It contributes to a nuanced discussion on the overall effectiveness of QE in the Japanese context.
Can China Reach Its Carbon Peak Before 2030? An Empirical Study Based on China's Carbon Emission Data
Authors: Guo Chenan
Published: April 2024

The global surge in the warming trend is predominantly attributed to the substantial release of greenhouse gases, notably carbon dioxide. Despite continuous international efforts to curb these emissions, our country, marked by the largest population and energy consumption, stands as a major contributor to carbon dioxide emissions. Unlike developed nations, we face a more formidable challenge in reducing emissions, demanding intensified endeavors. To address climate change, our nation has set a crucial carbon emission target: achieving a carbon peak before 2030 and attaining carbon neutrality by 2060. The "14th Five-Year Plan" of each province underscores the significance of "carbon peaking and carbon neutrality," tailoring emission reduction policies to individual economic landscapes. Current research inadequacies hinder theoretical guidance needed to meet the 2030 carbon peak. Crafting province-specific emission reduction strategies is thus imperative. This study aims to scrutinize national and regional carbon dioxide emissions in four distinct Chinese regions, utilizing the STIRPAT model to predict emissions from 2020 to 2030 under the "low development and strong low carbon" paradigm. Initial analysis from 2004 to 2019 showed an annual increase in national and provincial carbon dioxide emissions, revealing significant regional differences. Six prominent factors influencing emissions were identified. The STIRPAT model predicted emissions for 2020 to 2030, indicating that achieving carbon peaking before 2030 is unfeasible under the baseline scenario. However, within the "low development and strong low carbon" framework, attaining this goal becomes plausible.
RETRACTED ARTICLE: Bias/Heuristics ExaminingLoss Aversion
Authors: Tian Ruitian
Published: April 2024

This paper has deeply defined loss aversion by exploring three application areas of it. Normally it is thought that people tend to consider what they can gain more than what they will lose in their life. This phenomenon is flying in the face of actual behaviors of them. Losses are much more important and unwarrantable. Through analyzing research results from three areashousing market, energy use, and employee discrimination, this paper can see the obvious existence of loss aversion. Our results suggest that loss aversion can deeply influence peoples decisions by making them feel more anxious about losing anything rather than gaining. Owing to the nature of loss aversion regarding people's unconscious intentions, more information needs to be acquired and put to use. Loss aversion is a notion from behavioural economics that has a significant impact on our lives and that this paper should never deny.
Financing Dilemma and Optimization Strategies of High-Tech Enterprises
Authors: Chen Qirun
Published: April 2024

In recent years, Chinas economic market has been developing rapidly and the number of enterprises has been increasing. However, the development of enterprises needs to rely on the support of capital, due to the high financing threshold of the capital market, ordinary commercial banks and private financial institutions can not fully meet the capital needs of all enterprises in the market. This has, to a certain extent, exacerbated the phenomenon of capital bottlenecks and stagnant development faced by Chinese enterprises, and many even went bankrupt due to poor capital turnover. This paper combines the views and conclusions put forward by a number of professional articles to analyze the status quo and predicament of the company's financing. It is found that high-tech enterprises have problems such as less application of financing methods, high financing costs and unreasonable financing structures. By optimizing the financing structure, improving the company's credit level to expand financing methods, and reducing financing costs, the government has introduced helping policies and other optimization strategies that can promote the healthy and stable development of high-tech enterprises.
Traditional Banking Evolution in China Amidst the Fintech Revolution
Authors: Li Shangjie
Published: April 2024

This paper aims to investigate how the evolution of fintech could impact the traditional banking industry in China by reviewing the existing research. It provides a brief introduction to Chinese banks, outlining their structures, and functions against the background of the development in the Chinese financial market. The paper also discusses how fintech could potentially interact with Chinese banks and the possible changes in bank financing systems, clearing systems, and credit rating systems in light of the fintech revolution. The final section of the report provides a summary of the accomplishments of fintech in the banking industry. It also explains the reasons behind the fintech revolution in the banking sector and suggests practical solutions for traditional Chinese banks to integrate fintech into their regular operations. This integration can help improve the efficiency of financing, clearing, and credit rating systems by utilizing fintech techniques already in use such as P2P lending, blockchain, and artificial intelligence (AI).
The Specific Impact of Monetary Policy on Macroeconomic Fluctuations
Authors: He Shenming
Published: April 2024

The stability of monetary policy is crucial for overall economic stability, as both excessive tightening and excessive easing may lead to increased economic fluctuations and financial risks. This paper incorporates zero-interest-rate constraints and monetary policy shocks into a general equilibrium model to discuss the specific impact of monetary policy on macroeconomic fluctuations. The study reveals that when the economy reaches the zero lower bound of interest rates, the overall instability and vulnerability of the macroeconomy significantly increase. Even minor shocks can then result in severe fluctuations. In such circumstances, corresponding monetary policies can be employed to maintain the stability of the financial system. Additionally, effective coordination between monetary policy and macroprudential policy should be emphasized to minimize the losses from adverse shocks.
Testing the Weak Efficient Market Hypothesis of Chinese Stock Market--Based on the Market Performance of Representative Stock Investment Portfolios in the HS300 Index
Authors: Zhang Jiaqi
Published: April 2024

Chinas domestic stock market has developed very quickly overall in the more than 30 years since it was established, but information effectiveness in the Chinese stock market still faces multiple problems, so testing the weak efficient market hypothesis of the Chinese stock market is a good way to test its information quality and give investors relevant advice. This article selected representative stocks from the HS300 index, gathered the stocks historical data, used the index model to construct an optimal portfolio, and used another part of historical data to test if the portfolio has continuous excess return compared with the market portfolio and risk-free asset. The article finds excess return for the optimal portfolio during a long period and cannot prove that the Chinese stock market is weak and efficient. This result will provide a certain theoretical basis for investors who use technical analysis for stock investment and may also indicate that many issues still need to be addressed in the Chinese stock market, such as information asymmetry, high transaction costs, and insufficient regulation.
Data Visualization and Machine Learning Trend Analysis Forecasting Based on Roblox Stock Data
Authors: Wang Chang , Zhang Weiyu
Published: April 2024

The stock market, as a highly complex, unstable and dynamically changing system, is affected by a wide range of factors, such as political, economic, social and technological, in terms of price changes. Therefore, stock price prediction is a challenging problem, but also a problem of great importance. In order to provide a more accurate and reliable method for stock closing price prediction, this paper aims to reduce investment risk and improve investment returns by comparing the prediction effects of different regression models for investors to make investment strategies and decisions. In this paper, Open, High, Low, and Adj Close are used as input parameters, Close is used as the target parameter, the final closing price of the stock is determined from the various stock data, the training set, validation set, and test set are divided in accordance with 6:2:2, and the predictive effect of the model is evaluated using the parameters of MSE, RMSE, MAE, MAPE, and R2. After the comparison of multiple machine learning algorithms, XGBoost regression model and Random Forest Regression model perform the best in the prediction of stock closing price, and their MSEs are 0.061 and 0.072 respectively; followed by LightGBM regression model and decision tree regression model, the MSEs of the two models are 0.113 and 0.299 respectively, but the prediction results of BP neural network regression are poor. By comparing the prediction results of different regression models, it can provide investors with a more accurate and reliable method to predict the closing price of stocks, help investors better formulate investment strategies and decisions, reduce investment risks and improve investment returns. This is of great significance to both individual and institutional investors.
Effect Analysis of China's Carbon Emission Trading Pilot Policy on Carbon Emission Control
Authors: Wang Chenyu
Published: April 2024

Many countries have achieved a fundamental consensus to decrease carbon dioxide emissions in order to address environmental and climate issues. China, as the foremost energy consumer and carbon emitter globally, has significantly contributed to the exacerbation of greenhouse gas issues. The most effective method for lowering carbon emissions is through the trade of carbon emissions. In 2011, China began the process of implementing pilot projects for pricing carbon emissions as a means of addressing environmental and climate-related issues. This study use the literature review approach to examine the current state of China's carbon emission trading pilot policies on carbon emission management. It also analyzes the technical and economic impacts of these pilot policies in comparison to non-pilot carbon emission trading policies. The objective of this study is to propose recommendations for the implementation of the national carbon emission trading market in 2021.
Can the Opening of High Speed Rail Boost Corporate ESG? - Empirical Evidence from China
Authors: Tang Manping , Li Xinghong
Published: April 2024

ESG provides quantitative indicators of corporate sustainable development, which is currently an important reference basis for evaluating the development of enterprises in various countries. However, fewer scholars have studied corporate ESG performance based on the perspective of high-speed railway opening. Therefore, this paper takes China, where high-speed rail is developing rapidly, as the study area, and uses the relevant data of Chinese listed companies from 2010 to 2021 to study the relationship between high-speed rail opening and corporate ESG performance. We find that (1) the opening of high-speed rail will enhance firms' ESG performance. (2) Firms with higher external attention have better ESG performance. (3) Financing constraints play a moderating role.
The Succesful Reasons on Pang Dong Lai Supermarket
Authors: Zhang Xiangyu
Published: April 2024

The essay uses Pang Dong Lai Supermarket in Henan Province as an example. First, it describes the basic circumstances of Pang Dong Lai Company. In a competitive market environment, Pang Dong Lai Supermarket continues to develop its business scale and market share by opening more branches in Henan Province and vigorously marching into surrounding provinces and cities. By constantly expanding its business scale, the supermarket is able to better meet consumer demand and improve its market competitiveness. In addition, the effect of service quality and after-sales service on the success of Chinese supermarket chains was investigated in terms of customer happiness, loyalty programs, and retail dynamics. According to the investigation, strong service quality and after-sales service are critical to supermarket performance and can help Pang Dong Lai Supermarket solve its challenges. Furthermore, the article underlines how employee wellbeing affects a company's ability to innovate, as well as the importance of customer service and employee satisfaction in economic success. Overall, service quality and after-sales support have a substantial impact on grocery companies' performance. To operate in a competitive market, supermarket chains must prioritize consumer requirements, enhance staff welfare, establish a positive brand image, and innovate to react to market changes.
Whether the Corporation's Agency Costs Could Be Influenced by Marketization
Authors: Yao Yiwen
Published: April 2024

As several financial Scandals happened in the last two decades, internal control become important in corporate governance. Most scholars illustrate that internal control is the key factor in improving the firm performance by reducing agency costs. The research mainly tests that agency costs, as the mediator of internal control and firm performance, could be influenced by marketization. And use the market index as the creative point in measuring marketization. Then the empirical evidence has been developed by listed corporations from the Shanghai Stock Exchange Market. The results showed that agency costs are effective in reducing the market with higher marketization. Agency costs are less significant in increasing firm value in provinces with lower marketization (governments with higher power over law). The fair value of the information disclosure, strict regulation and monitors, and less power of government over the law on the market are all important factors to influence agency costs.
Explore the Impact of Sustainable Development Strategies on Green Employment
Authors: Wang Jingxiao
Published: April 2024

This multiple case analyses show that sustainable development policies in both China and European countries can greatly impact the green labor market. In China, the sustainable development polices greatly impact its forestry, renewable energy, and infrastructure sector. The demand of green jobs keeps increasing from 2005 to 2020.However, the green transition process per se is painful for small coal factories and employees from carbon intensive industries. In the EU-25 area, the number of green jobs also keep increasing. Unlike China, the most environmentally polluting industries release more than 90% of carbon dioxide and greenhouse gases but only generate a small fraction of jobs (14%) in the labor market. By the end of 2030, the number of green jobs will increase up to 12 million in European countries.
The Sharing Economy: Analyses and Perspectives from an Economic Perspective
Authors: Chen Yihan
Published: April 2024

As an emerging economic model, the sharing economy has developed rapidly over the past decade, revolutionising and upgrading the way people consume goods and services. This model connects idle resources with the da roside through a technological platform, effectively improving the efficiency of resource utilisation, while also challenging the traditional market operation model. The direct impact of the sharing economy on the structure of the economy and the transformation of consumer attitudes as well as lifestyles it embodies have attracted widespread discussion and attention. This study aims to analyse in depth the nature of the sharing economy, its operating mechanism and its impact on traditional economic theory and practice from the perspective of economics, with a view to providing a comprehensive understanding and evaluation of the phenomenon.This paper adopts the methods of literature review, case analysis and comparative study to explore in depth the economic principles and practical applications of the sharing economy. The study first reviews the development history of the sharing economy and clarifies its concepts and characteristics, then analyses its impact on economic theory and market operation, and finally explores the various challenges and coping strategies in the face of the rapid development of the sharing economy. Through this research, the paper aims to provide a comprehensive analysis of the sharing economy phenomenon, offering insights and recommendations for policy makers, market participants, and academics.