{"title":"Analysis of The Status Quo and Problems of Convertible Bond Financing of Listed Companies in China","authors":"Wanying Tan","doi":"10.1109/ICDSBA53075.2021.00085","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00085","url":null,"abstract":"Convertible bonds have become an important refinancing method for listed companies because they can be converted into ordinary stocks at specific time and conditions, with low financing costs, large financing scale, and lighter performance pressure for issuing companies[1]. However, listed companies will have some problems when using convertible bonds to raise funds. Therefore, it is necessary to analyze the size of the convertible bond market and the financing incentives and financing efficiency of listed companies based on the data of convertible bond financing of listed companies in China. This paper uses literature research method, typical case study method and data analysis method to analyze the current situation of convertible bond financing of listed companies in China from four aspects: the issue of convertible bonds, the distribution of bond issuers, the credit rating and the design of convertible bonds. The analysis will focus on the small scale of the convertible bond market at the current stage, the lack of accelerated expansion of the convertible bond market, the uneven distribution of the convertible bond industry, the low short-term financing efficiency, the convertible bond stocks and the debt imbalance. According to the internal and external aspects of the listed companies, I put forward the optimization suggestions for constructing a good development environment for convertible debt financing and correctly guiding the issuers of convertible bonds.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126527251","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":"An Empirical Study on the Dynamic Relationship between Regional Energy Consumption and Economic Growth Based on Regression Model","authors":"Yongchao Zhao, Yubao Chen, Qing Lan","doi":"10.1109/ICDSBA53075.2021.00071","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00071","url":null,"abstract":"Based on the co-integration analysis and causal relationship, this paper discusses the relationship between economic growth and energy consumption, and then combined with case analysis, puts forward effective measures for the future social and economic development and energy consumption.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"419 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706616","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}
Qing Li, Jiaqian Cao, Lu Ning, Tang Li, Xiaoqing Wu
{"title":"The Returns to Innovation of Chinese Firms : Based on Empirical Evidence from the \"China Manufacturing Enterprises Survey\"","authors":"Qing Li, Jiaqian Cao, Lu Ning, Tang Li, Xiaoqing Wu","doi":"10.1109/ICDSBA53075.2021.00068","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00068","url":null,"abstract":"In the context of the explosive growth in the scale of innovation in China, the increase in innovation yield is becoming increasingly important for long-term economic growth and productivity improvement. Based on a systematic review of existing literature, this paper, from the perspective of \"innovation input-innovation output-innovation effect\", conducts a multi-dimensional empirical test on the direct return rate and economic return rate of Chinese enterprises’ innovation at the present stage. Based on the data of the 2018 \"China Manufacturing Enterprises Survey\", empirical research finds that the low efficiency of innovation input and the low transformational capacity are the important reasons for the low direct return on innovation. The low quality of innovation has become an important reason to restrict the improvement of innovation economic returns.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127574094","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 Hospital Audit Risk Prediction Model Based on Big Data Information Fusion","authors":"S. Wang","doi":"10.1109/ICDSBA53075.2021.00013","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00013","url":null,"abstract":"Based on the understanding of the development background of big data information fusion, according to the analysis of the current hospital operation management mechanism, how to build a hospital audit risk prediction model based on big data information fusion, and take stroke phenomenon as an example for case analysis.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127769944","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":"Empirical Study on Cosmetics Purchasing Intention of Traditional Chinese Cosmetics Customers","authors":"Min Wang","doi":"10.1109/ICDSBA53075.2021.00076","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00076","url":null,"abstract":"With the continuous development of China's economy, consumers' demand for daily cosmetics is increasing day by day. Faced with such a strong demand for cosmetics, cosmetics companies must think about how to improve consumer perception of the value of their cosmetics. And increase the market share of the brand. Based on existing research results, this paper analyzes customers' purchasing tendency from the perspective of consumers' perceived value through a questionnaire survey, studies the mediating role of brand identity between perceived value and consumers' purchasing intention, and compares and analyzes the purchasing behavior of traditional Chinese cosmetics customers to domestic cosmetics under the effect of group consensus regulation. SPSS25.0 and AMOS24.0 software were used to analyze the data to study the relationship between perceived value and brand identity of traditional Chinese cosmetics customers and their buying behavior, and the moderating effect of group conformance factors was also analyzed. The results show that the group consensus has a significant moderating effect on the relationship between domestic cosmetics brand identity and consumers' purchase intention.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125140491","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":"A Study on Prediction Model of BP Algorithm in Macroeconomics","authors":"Luhao Li, Jun-hong Zhang, Bo Yuan, Haohan Liu","doi":"10.1109/ICDSBA53075.2021.00066","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00066","url":null,"abstract":"Under the guidance of economic theory, the macroeconomic system is deeply studied. Clarify the characteristics of the macroeconomic system and discuss the macro-economic pointer system. According to the complexity and openness of macro-economic system, qualitative analysis and quantitative analysis are combined to analyze macro-economy by the method of comprehensive integration. To study the conventional methods of quantitative prediction; Using artificial neural network technology, under the connection of polynomial fitting and BP neural network, the prediction model system is created, and the prediction model is modeled by this way, which greatly improves the prediction accuracy of the system. It is found that the macro economy under BP algorithm shows an upward trend of development.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129949158","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 Influencing Factors of Box Office: A Case Study of the Top 100 Films in the Chinese Box Office in 2019","authors":"Chen Pan","doi":"10.1109/ICDSBA53075.2021.00047","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00047","url":null,"abstract":"With the rapid development of film industry in China, the domestic industry chain has been continuously improved in recent years. However, the film industry is still of high risk with frequent investment losses, insufficient growth of potential viewers in urban cinemas, and an unclear performance of domestic films among the global film market. Through establishing a multiple linear regression model, which takes the top 100 films in the box office list in 2019 as research objects, we explore variables which have a significant impact on the box office and use one-way ANOVA to analyze whether film theme is one of the factors affecting the box office. The following conclusions are obtained in this paper: (1) Score, number of potential audience, schedule and place of origin all have a significant impact on the box office. (2) The average box office of the films released in popular schedule is higher than that in the non-popular schedule. The average box office of the films produced in China is higher than that in other countries. (3) Among various themes of films, science fiction films are more popular with consumers. (4)There is a conformity effect among consumers in China’s film market in 2019. Our results have shed light on the real situation of China's film market in 2019 and provided some reference for looking for opportunities to obtain high box office.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130593173","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":"Measurement and Analysis of Green Total Factor Productivity in Yangtze River Economic Belt-Based on DEA-Malmquist Index Method","authors":"S. Zeng","doi":"10.1109/ICDSBA53075.2021.00105","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00105","url":null,"abstract":"This paper used the panel data of 11 cities along the Yangtze River Economic Belt from 2010 to 2016 to figure out the GTFP index of the Yangtze Economic Zone through the DEA-Malmquist index method. It found was found that: the overall GTFP of the Yangtze Economic Zone shows continuous growth and relies on technological progress; the growth rates of GTFP are different at different part of the Yangtze Economic Zone during the period of study, with negative growth in the lower parts of Yangtze River and positive growth in the middle and upper parts of Yangtze River; cites in this area has same characteristics of GTFP while has their own features respectively, and technological progress is the main driving force for GTFP growth.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127088417","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 Impact of High Technology on The Economy","authors":"F. Zhu","doi":"10.1109/ICDSBA53075.2021.00069","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00069","url":null,"abstract":"Nowadays, the world economic development has entered into a new historical stage which is called the knowledge economy era. In this era, high technology industries have become the first pillar of economic growth. Some people generally think of this competition of the contemporary international society is considered to be the comprehensive national strength and science and technology competition. In fact, the high technology industry has become the focus of today’s international competition and the strategic commanding heights that major nations are pursuing. Based on the analysis of the related conceptions in high technology, this article analyses the relationship between high technology and economy. Learning historical experience through applied empirical. Most importantly, in order to have a further analysis of the effect of high technology on the economy, the high technology data has been analysed. Through data, we can understand the impact of technology on economy more intuitively.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127641090","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 Effective Transformation Path of Chinese IT Enterprises in the Internet + Era","authors":"Shan Cheng","doi":"10.1109/ICDSBA53075.2021.00056","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00056","url":null,"abstract":"The growth rate of information flow is very fast, and it is not changed by people's will. When the flow is increasing, it is mainly to see who has the ability to solve and dredge these flows. No enterprise can guarantee that it will not be surpassed by other enterprises in the future. In the Internet + era, China's IT enterprises should try their best to keep their employees vigour and maintain the ability to compete with new companies. This article mainly discusses the effective transformation path of China's IT enterprises in Internet + era to keep pace with the times and forge ahead.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117216862","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}