2019 International Conference on Economic Management and Model Engineering (ICEMME)最新文献_第8页

The Influence of Revenue Structure on Bank Performance of Listed Banks in China: An Empirical Study on 16 Listed Commercial Banks 中国上市银行收入结构对银行绩效的影响——基于16家上市商业银行的实证研究

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00021

Ling Xu

{"title":"The Influence of Revenue Structure on Bank Performance of Listed Banks in China: An Empirical Study on 16 Listed Commercial Banks","authors":"Ling Xu","doi":"10.1109/ICEMME49371.2019.00021","DOIUrl":"https://doi.org/10.1109/ICEMME49371.2019.00021","url":null,"abstract":"With the continuous promotion of interest rate marketization, the profitability and the traditional business model of Chinese commercial banks are affected by a number of factors such as narrowing of net interest margin. Based on the quarterly report data (2010-2018) of 16 listed banks in China, this paper uses panel data method to study the factors influencing the performance level of Chinese commercial banks under interest rate marketization. The result shows that the performance is positively associated with fees and commission income, and negatively associated with the size of asset. At the same time, the influence factors are different between the four state-owned commercial banks and joint-stock commercial banks. Investment return and interest income have a significant impact on the profitability of four state-owned commercial banks, but it's not obvious on joint-stock commercial banks. According to the research results, this paper puts forward corresponding countermeasures and suggestions to improve the profitability of commercial banks under the interest rate marketization.","PeriodicalId":122910,"journal":{"name":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127139789","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}

引用次数: 0

Additive Calibration Model for the Monitoring Data of PM2.5 and PM10 Based on ARIMA and Multiple Linear Regression 基于ARIMA和多元线性回归的PM2.5和PM10监测数据加性定标模型

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00066

Yan Xu, Shuangting Lan

{"title":"Additive Calibration Model for the Monitoring Data of PM2.5 and PM10 Based on ARIMA and Multiple Linear Regression","authors":"Yan Xu, Shuangting Lan","doi":"10.1109/ICEMME49371.2019.00066","DOIUrl":"https://doi.org/10.1109/ICEMME49371.2019.00066","url":null,"abstract":"Air pollution is harmful to the ecological environment and human health. PM2.5 and PM10 are particularly harmful to human health. Real-time monitoring of the concentration of PM2.5 and PM10 can grasp the air quality in time and take corresponding measures to the pollution sources. Monitoring data may be affected by meteorological factors, so we need to check and correct the monitoring data to improve its accuracy. The difference between the two groups was significant through exploratory analysis. The self-correlation analysis to the data of SDD showed it was high significant. So, ARIMA models were used by time series analysis to the data (A_i). Meteorological factors such as temperature were taken as independent variables, and the difference between the data of the two groups was taken as dependent variable. We established multivariate linear regression models (B_i). The additive calibration models were obtained (Y_i=A_i+B_i). The error analysis showed that the accuracies of PM2.5 and PM10 were improved, especially the calibration effect of PM10. Therefore, the additive calibration model based on ARIMA and multiple linear regression could effectively calibrate the monitoring data of SDD.","PeriodicalId":122910,"journal":{"name":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128181485","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}

引用次数: 1

Probabilities and Statistics in Sociology 社会学中的概率与统计

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00012

Zehua Wang

引用次数: 0

Research on Risk Assessment Model of Unsalable Agricultural Products Based on DEMATEL Method 基于DEMATEL方法的滞销农产品风险评估模型研究

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00076

Ruijia Liu

引用次数: 1

Financial Leasing, Optimal Financial Structure and Economic Growth: An Analysis Based on Financial Inclusion Perspective 融资租赁、最优金融结构与经济增长:基于普惠金融视角的分析

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00038

Jinqiu Xu, Yanping Shi

引用次数: 2

Research on the Interactive Mechanism of Rural Finance Supporting Agricultural Industry Optimization in Shandong Province 山东省农村金融支持农业产业优化的互动机制研究

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00020

Chenghao Sun, Yunqian Yi, H. Yue

引用次数: 0

Personal Credit Rating System Based on the Logistic Regression Method 基于Logistic回归方法的个人信用评级系统

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00040

Mingjia Yan

引用次数: 1

Discussion on the Diversification of Economic Research Methods 论经济学研究方法的多样化

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00052

Yuemei Sun

{"title":"Discussion on the Diversification of Economic Research Methods","authors":"Yuemei Sun","doi":"10.1109/ICEMME49371.2019.00052","DOIUrl":"https://doi.org/10.1109/ICEMME49371.2019.00052","url":null,"abstract":"Disciplinary research method is an important part of each discipline. As a typical social science, economics is not simply limited to pure science, but is embodied in obvious humanistic attributes. Under this premise, scholars need to focus on diversified research methods for economics, and ensure the correct way to combine the two basic research methods in the humanities and science fields. In recent years, there are more and more diversified disciplinary research methods in the field of economics. This status quo can effectively promote a higher level of economic research, using mathematical model construction and statistical analysis methods to conduct in-depth research in the field of economics. From the perspective of disciplinary research methods, diversified research methods should be introduced into the current field of economics. This is because economics involves comprehensive knowledge of different disciplines, so the corresponding perspectives of discipline research should also get rid of limitations [1]. Faced with the complex economic phenomena at this stage, scholars in the field of economics must focus on exploring new discipline research so that they can truly broaden their horizons in the existing research. Through the introduction of diverse research models and research methods, it should be able to fundamentally realize in-depth research in the field of economics, and help to further advance economic research across different disciplines.","PeriodicalId":122910,"journal":{"name":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127213805","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}

引用次数: 0

Research on the Relation between OFDI and Export Trade of China 中国对外直接投资与出口贸易关系研究

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00026

Chun Chen, Hui Peng

引用次数: 0

Impact of Board Characteristics on Debt Financing Costs 董事会特征对债务融资成本的影响

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI: 10.1109/ICEMME49371.2019.00136

L. Zhai

引用次数: 2