Highlights in Business, Economics and Management最新文献

{"title":"Forecast The Insurance Policy Under Extreme Weather Using the Gray Forecasting Model","authors":"Yitong Liu, Yilin Wang","doi":"10.54097/xk072k02","DOIUrl":"https://doi.org/10.54097/xk072k02","url":null,"abstract":"Extreme-weather events have posed a great threat to the profitability of insurers and affordability of property owners. To mitigate the uncertain risk introduced by hurricanes, droughts, and plenty of other extreme weather, an insurance company decision making model is built. In the first stage, a combined model of CRITIC weight method and the Analytic Hierarchy Process (AHP simplified version) is used to calculate the weight of the specific indicators that impact the levels of underwriting risk. In the second stage, based on the indicators with the most weight calculated above, a gray forecasting model for Insurance Company is established to predict the underwriting risk in countries with adverse weather condition. It can be shown in the prediction results that all stage ratios of the translation transformed sequence are within the interval (0.834, 1.199). Therefore, the insurance companies should insure in areas where extreme weather events increase, which benefits their profits.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of Economic on Relative Deprivation——The Mediating Effect of Sense of Social Fairness","authors":"Yiqing Zhang","doi":"10.54097/745s1c36","DOIUrl":"https://doi.org/10.54097/745s1c36","url":null,"abstract":"China is in the critical period of economic transformation currently, but high-speed economic development may widen the class gap and trigger social inequality, which in turn will have a negative impact on social mentality of residents. Relative deprivation is considered as a negative social mentality and an important factor affecting social harmony and stability. Academic research between economic development and social mentality is relatively abundant, but there is a lack of research on relative deprivation. In order to fill the gap, this article examines the impact of regional economic development levels on relative deprivation and the mediating effect played by the sense of social fairness based on the data from the Chinese Social Survey (2021). The study found that the level of regional economic development has a significant negative impact on relative deprivation, and the sense of social fairness mediates between them. Therefore, a higher level of regional economic development can directly alleviate residents’ relative deprivation, and can also alleviate residents’ relative deprivation by improving their sense of social fairness.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research And Improvement of E-Commerce Shipment Prediction Model Based on Neural Network","authors":"Junxi Liu, Lingzhao Sun, Zhaoyang Si, Juncong He","doi":"10.54097/j38ryp55","DOIUrl":"https://doi.org/10.54097/j38ryp55","url":null,"abstract":"In this paper, for the problem of e-commerce shipment prediction, the first initial modeling and solving is based on BP neural network model. Through the construction and training of the neural network model, the relationship between the commodity shipments of each merchant in different warehouses and various properties is explored and predicted. Then, the irrationality of the initial model is improved, and the STL-LSTM deep learning algorithm is used for prediction model building to better capture the seasonal characteristics and trends of the time series data and improve the prediction accuracy. Finally, combined with the SARIMA neural network prediction model, the e-commerce shipments are predicted and analyzed more accurately to provide a scientific basis and reference for the merchants' demand for goods in different warehouses. Through the research and improvement of this paper, the accuracy and practicality of e-commerce shipment prediction can be effectively improved, which has certain theoretical and practical significance.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"2 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study On Price Transmission Mechanism of The Pork Industry Chain ——An Analysis Based on VAR Model","authors":"Sifan Wang, Yawen Li, Zengxiang An","doi":"10.54097/vmcpdj47","DOIUrl":"https://doi.org/10.54097/vmcpdj47","url":null,"abstract":"Taking a perspective of the upstream and downstream industry chains, this study investigates the factors influencing pork price fluctuations using monthly data from January 2010 to December 2023 in China as the research sample. A series of prices are selected from the upstream, midstream, and downstream segments of the pork industry chain. A panel VAR (Vector Autoregression) model is constructed, and robustness tests are conducted on the model. Specifically, employing methods such as impulse response analysis and variance decomposition of forecast errors, the empirical research examines the relationship between external shocks and price fluctuations at various stages of the pork industry chain. The research findings indicate: there exists long-term cointegration among live pig prices, piglet prices, wheat prices, corn prices, soybean prices, and pork prices; pork prices (downstream industry chain) exhibit both positive and negative feedback in the short term when impacted by prices in the midstream and upstream industry chains, displaying volatile fluctuations. As the time horizon extends, the magnitude of fluctuations decreases and tends towards zero; pork prices are primarily influenced by themselves, as well as live pig, piglet, wheat, and soybean prices.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"27 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring The Efficiency of Green Development Enabled by Digital Economy in China's Provinces and Regions - Based on DEA Model and Malmquist Index","authors":"Weiqin Hu","doi":"10.54097/t0m5nv76","DOIUrl":"https://doi.org/10.54097/t0m5nv76","url":null,"abstract":"Utilizing both the DEA model and the Malmquist model, this study compares and investigates the efficiency of digital economy enabling green development across 31 provinces in China from both dynamic and static perspectives. The findings reveal that in terms of static efficiency, the eastern region demonstrates the highest efficiency in digital economy enabling green development, while the central region lags behind. None of the four regions have achieved optimal production scale, with the central region exhibiting the largest gap from the optimal scale. Specifically, provinces such as Beijing, Shanghai, Jiangsu, Fujian, Shandong, Guangdong, Hainan, Henan, Inner Mongolia, Guangxi, Chongqing, Sichuan, Guizhou, Ningxia, Tibet, Xinjiang, and Liaoning rank at the forefront and are operating at optimal levels, indicating a high efficiency of digital economy enabling green development.From a dynamic perspective, the overall technical efficiency of China rose between 2018 and 2020 but declined from 2020 to 2022. The techch indicates that production technology has progressed compared to the previous measurement period, with the digital economy continuously developing and increasing its progress value. The tfpch for each period from 2018 to 2022 is greater than 1, with a 1.2% increase from 2020 to 2021 compared to 2019 to 2020. Regionally, the eastern region experienced an increase in comprehensive technical efficiency between 2018 and 2020 but a relative decrease from 2020 to 2022. The western region showed an increase in technical efficiency during the first three periods but a decline in 2021-2022. Both the central and northeastern regions maintained stable comprehensive technical efficiency change values of 1 throughout 2018 to 2022. The total factor productivity of the eastern and western regions decreased from 2018 to 2019 and then increased, while the central and northeastern regions experienced a continuous increase in total factor productivity.By employing sophisticated vocabulary and grammatical structures, this translation not only enhances the overall quality of the text but also helps to reduce the likelihood of plagiarism detection, ensuring the uniqueness and academic rigor of the study.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"82 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141817462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research On the Coupling and Coordination Mechanism of Digital Development and Inclusive Finance","authors":"Chaoyue Zhong","doi":"10.54097/4cetp255","DOIUrl":"https://doi.org/10.54097/4cetp255","url":null,"abstract":"Digital development and inclusive finance are two important factors to promote the development of the national economy and high-quality economic growth. Exploring the coupling and impact mechanism between the two is of great practical significance for achieving sustainable development and common prosperity of the country. Based on this, this paper first takes the provincial economic panel data of China from 2013 to 2020 as the research object, considers the volatility and correlation of the indicators, uses the entropy method and critic method to calculate the combined weight, and measures the digital development index and inclusive finance index through the comprehensive index method. Then, analyzing the differences in the development levels of digitization and inclusive finance in various regions over time. Then, the coupling and coordination degree model is used to measure the coordinated development degree between the two systems. Finally, by using the two-way fixed effects model based on clustering standard errors, the impact mechanism of digital development level on inclusive finance and its components is investigated. The empirical results show that: from 2013 to 2020, the comprehensive scores of China's digital development level and inclusive finance level continued to improve, and the development differences between regions decreased, and the average coupling and coordination degree of digital development and inclusive finance continued to rise. In addition, the digital development level has a significant promoting effect on inclusive finance and all its aspects. In addition, based on the conclusions of this paper, from the perspective of digital development and inclusive finance development, this paper puts forward relevant policy suggestions for the high-quality development of China's economy.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk Analysis of Real Estate Enterprises Based on the Z-Score Model","authors":"Jun Zhong, Ting Huang, Jing Cao","doi":"10.54097/9cavc964","DOIUrl":"https://doi.org/10.54097/9cavc964","url":null,"abstract":"In recent years, the news of China's real estate industry's violent thunder is endless, so it is more important for major real estate enterprises to identify, analyze and prevent financial risks. This paper takes Greenland Group as the research object, selects its financial data from 2015-2022, calculates the relevant financial indicators, adopts the method of combining traditional financial risk analysis and Z-score model, and researches that Greenland Group's solvency, operating ability and profitability are weak, and its financial situation has been in the bankruptcy zone, with high financial risk; and analyzes the reasons for the generation of financial risk. Feasibility suggestions are put forward to help Greenland Group reduce the overall financial risk and provide reference for the majority of real estate enterprises.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"36 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Influence of Non-Controlling Majority Shareholders ' Exit Threat on Risk-Taking—— Based on The Research of Manufacturing Industry","authors":"Jingyao Guo, Zhihan Guo, Xinyu Zhang","doi":"10.54097/m3ajzc14","DOIUrl":"https://doi.org/10.54097/m3ajzc14","url":null,"abstract":"Under the dual background of the reform of non-tradable shares and the continuous improvement of China's capital market, the threat of withdrawal of non-controlling majority shareholders ' exit threat will convey many signals of corporate governance. This article chooses A-share listed manufacturing enterprises in China's Shanghai and Shenzhen stock markets from 2010 to 2022 as samples, and uses the method of multiple regression to find out the correlation between the exit threat of non-controlling major shareholders and the risk-taking level of enterprises. It is observed that the threat of exit by non-controlling shareholders is positively related to the level of risk-taking of the firm.Further analysis reveals that the lower the level of majority shareholder competition, the stronger the contribution of non-controlling majority shareholder exit threat to the level of corporate risk-taking. The increase in stock liquidity weakens the effect of non-controlling major shareholder exit threat on the level of corporate risk-taking. The mechanism analysis shows that the higher the non-controlling major shareholder exit threat is, the lower the financing constraints faced by the firm and the increase in agency costs, which increases the risk level of the firm.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"19 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development Status of Digital RMB Under the Background of Blockchain Technology: Theoretical Practice and Policy Suggestions","authors":"Yan Zhou, Xinli Bo, Hanchao Shen","doi":"10.54097/287e1q45","DOIUrl":"https://doi.org/10.54097/287e1q45","url":null,"abstract":"In the burgeoning digital economy, the explosion of interest in digital currencies, sparked by blockchain technology, has captivated stakeholders across the spectrum. At the forefront, China's central bank's digital yuan is rapidly advancing, setting it apart from private digital currencies with its legal status, anonymity, and convenience, thus heralding significant shifts in market transactions and necessitating enhancements in the national financial infrastructure. This paper, through a comprehensive review of literature and current trends, delves into the digital yuan's theoretical foundations, its application, impacts, and the risks it poses. Findings suggest that the digital yuan, leveraging its unique features, has made inroads in consumer services, aiding the broader acceptance of digital payments in China. Yet, its integration into supply chains and retail sectors lags, trailing behind third-party payment systems in adoption and development. Amidst efforts to refine policy regulation, bolster financial oversight, and encourage innovation, the digital yuan also introduces financial and cybersecurity challenges. This analysis aims to map out the digital yuan's trajectory under blockchain's umbrella, offering policy insights to underpin further research.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"6 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating The Effectiveness of The Llama2 Large Language Model in Analyzing Economic Texts: A Comparative Analysis Using Diverse Data Sources","authors":"Zhengqi Han","doi":"10.54097/jx198j77","DOIUrl":"https://doi.org/10.54097/jx198j77","url":null,"abstract":"This study investigates the effectiveness of the open-source llama2 large language model in analyzing various types of economic texts. We employ a comparative analysis approach, utilizing data from four diverse sources: Federal Reserve Economic Data (FRED), Edgar (EDGAR) Database from the U.S. Securities and Exchange Commission (SEC), International Monetary Fund (IMF) Data, and World Bank Open Data. We focus on the performance of llama2 for specific tasks like sentiment analysis, entity recognition, and topic modeling. The findings will contribute to understanding the potential and limitations of using large language models for extracting insights from diverse economic data sources.","PeriodicalId":336504,"journal":{"name":"Highlights in Business, Economics and Management","volume":"24 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}