Journal of Risk Analysis and Crisis Response JRACR最新文献_第3页

Research on the Spatial Effect of Government Science and Technology Expenditure on the Development of Digital Economy 政府科技支出对数字经济发展的空间效应研究

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-12-31 DOI: 10.54560/jracr.v12i4.342

Shu-xian Wang, T. Zhang

{"title":"Research on the Spatial Effect of Government Science and Technology Expenditure on the Development of Digital Economy","authors":"Shu-xian Wang, T. Zhang","doi":"10.54560/jracr.v12i4.342","DOIUrl":"https://doi.org/10.54560/jracr.v12i4.342","url":null,"abstract":"In the context of a unified large market, the development of digital economy has become the focus. Based on the panel data of 31 provinces in China from 2011 to 2020, this paper uses the spatial Durbin model to examine the impact of government spending on digital economy through different spatial weight matrices. The research results show that: 1) The government science and technology expenditure in all provinces in China has a significant positive spatial correlation with the level of digital economy development; 2) The comparative analysis of different weight matrices show that the impact of local government science and technology expenditure on the level of digital economy development is significant and positive, and there is a certain spatial spillover effect; 3) Through the heterogeneity test, the spillover effect of the central and western regions of China is more obvious under the setting of the geographical weight matrix, and the spillover effect of the east is more obvious under the setting of the economic matrix weight. At the same time, this study expands the research on the influencing factors of the development level of the digital economy, and puts forward policy recommendations corresponding to government science and technology expenditure and the development of the digital economy based on the empirical results.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"122 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88461236","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

The 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention Was Successfully Held in Beijing 中国防灾协会风险分析专业委员会第十届年会在京成功召开

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-10-08 DOI: 10.54560/jracr.v12i3.336

Tie Li, Wang Xu

引用次数: 0

CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data 基于cu - rf的数据不平衡信用卡欺诈检测

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-09-30 DOI: 10.54560/jracr.v12i3.332

Wei Li, Cheng-shu Wu, Sumei Ruan

{"title":"CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data","authors":"Wei Li, Cheng-shu Wu, Sumei Ruan","doi":"10.54560/jracr.v12i3.332","DOIUrl":"https://doi.org/10.54560/jracr.v12i3.332","url":null,"abstract":"With the continuous expansion of the banks' credit card businesses, credit card fraud has become a serious threat to banking financial institutions. So, the automatic and real-time credit card fraud detection is the meaningful research work. Because machine learning has the characteristics of non-linearity, automation, and intelligence, so that credit card fraud detection can improve the detection efficiency and accuracy. In view of this, this paper proposes a credit card fraud detection model based on heterogeneous ensemble, namely CUS-RF (cluster-based under-sampling boosting and random forest), based on clustering under-sampling and random forest algorithm. CUS-RF-based credit card fraud detection model has the following advantages. Firstly, the CUS-RF model can better overcome the issue of data imbalance. Secondly, based on the idea of heterogeneous ensemble learning, the clustering under-sampling method and random forest model are fused to achieve a better performance for credit card fraud detection. Finally, through the verification of real credit card fraud dataset, the CUS-RF model proposed in this paper has achieved better performance in credit card fraud detection compared with the benchmark model.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75080685","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

COVID-19 Mental Health Risks - A Critical Survey of Africa 2019冠状病毒病精神健康风险——一项关于非洲的重要调查

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-09-30 DOI: 10.54560/jracr.v12i3.334

E. Anyika

{"title":"COVID-19 Mental Health Risks - A Critical Survey of Africa","authors":"E. Anyika","doi":"10.54560/jracr.v12i3.334","DOIUrl":"https://doi.org/10.54560/jracr.v12i3.334","url":null,"abstract":"COVID-19 is still being experienced worldwide, with other variants also cropping up, including Delta and Omicron, etc. Many countries are learning to cope with the mental, physical, and economic impacts of this pandemic by applying recommended health or otherwise protocols in their daily undertakings. The research critically surveyed COVID-19 mental health risks in Africa. Its objectives were to determine the extent to which COVID-19, directly and indirectly, affected the mental health of citizens and to estimate the Mental Health risk levels due to the COVID-19 Pandemic in Africa. In doing so, participants in Africa were sent a Google survey form by WhatsApp. and Seventy-two responses were received. The Depression, Anxiety and Stress Scale-21 (DASS-21) was used to measure participants' mental health risk levels of depression, anxiety, and stress during the COVID-19 pandemic periods up to November 7, 2021. The study discovered that over 90 % of individuals had one form of mental health disorder during the pandemic. In addition, many participants experienced severe depression and anxiety resulting in mental health issues such as dysphoria, anhedonia, and inertia that assesses autonomic arousal, skeletal muscle effects, situational anxiety, and subjective experience of anxious affect.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"29 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72607104","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

Behavioral Heterogeneity and Excessive Volatility of RMB Exchange Rate 人民币汇率行为异质性与过度波动

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-09-30 DOI: 10.54560/jracr.v12i3.333

Zhongfei Zhou, Jiajia Wu, Sheng Yuan

引用次数: 0

Poly Vinyl Chloride Additives and Applications-A Review 聚氯乙烯添加剂及其应用综述

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-09-30 DOI: 10.54560/jracr.v12i3.335

Abdallah S. Elgharbawy

引用次数: 4

Research on the Influence of Fintech Development on the Operating Benefit of Banks 金融科技发展对银行经营效益的影响研究

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-07-10 DOI: 10.54560/jracr.v12i2.327

Yong Huang, Hongmei Zhang

引用次数: 0

2022 Greater China Region Forum on Corporate Social Responsibility and Social Business Day & Academic Annual Meeting of Sichuan Society for Risk Science and Emergency Management Was Held Online 2022大中华地区企业社会责任与社会企业论坛暨四川省风险科学与应急管理学会学术年会在线召开

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-07-10 DOI: 10.54560/jracr.v12i2.329

Chengyi Pu, Zihan Ma, Qijuan Luo

引用次数: 0

Seismic Risk Analysis of Hospital Buildings: A Novel Interval-Valued Spherical Fuzzy ARAS 医院建筑地震风险分析:一种新的区间值球面模糊ARAS

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-07-10 DOI: 10.54560/jracr.v12i2.325

Akın Menekşe, Hatice Camgöz Akdağ

{"title":"Seismic Risk Analysis of Hospital Buildings: A Novel Interval-Valued Spherical Fuzzy ARAS","authors":"Akın Menekşe, Hatice Camgöz Akdağ","doi":"10.54560/jracr.v12i2.325","DOIUrl":"https://doi.org/10.54560/jracr.v12i2.325","url":null,"abstract":"Hospitals are vital infrastructures, but they can be particularly susceptible if located in an earthquake-prone area. Estimating the performance and projected damage of these structures in the event of future earthquakes is critical to minimize physical damage and disruption of surgery, rehabilitation, laboratory services, and other medical care operations. A quick and low-cost pre-assessment of the sensitivity of these structures will help hospital managements prepare for suitable retrofitting and reconstruction. On the other hand, a seismic risk assessment equires constructing a model that can offer expert opinions in a quantitative, methodical, and quantifiable way while still reflecting the uncertain and imprecise character of the process. This paper proposes a new decision support model by extending Additive Ratio Assessment (ARAS) with interval-valued spherical fuzzy sets. The study includes sensitivity and comparison analyses, practical implications, limitations, and future research avenues. The applicability of our methodology demonstrated a numerical example for assessing the seismic risk levels of hospital buildings.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87118916","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: 3

Machine Learning Sales Forecasting for Food Supplements in Pandemic Era 大流行时代食品补充剂的机器学习销售预测

Journal of Risk Analysis and Crisis Response JRACR Pub Date : 2022-07-10 DOI: 10.54560/jracr.v12i2.326

Funda Ahmetoğlu Taşdemir

{"title":"Machine Learning Sales Forecasting for Food Supplements in Pandemic Era","authors":"Funda Ahmetoğlu Taşdemir","doi":"10.54560/jracr.v12i2.326","DOIUrl":"https://doi.org/10.54560/jracr.v12i2.326","url":null,"abstract":"The Covid-19 pandemic has brought a lot of concerns about the operational and financial situation of businesses. Forecasting is crucial as it guides businesses through these critical points. Forecasting has become even more critical in the pandemic environment and therefore the necessity of using an accurate forecasting method has increased. Taking this into consideration, in this study, intelligent machine learning methods, namely; Grey Model (GM), Artificial Neural Network (ANN) and Support Vector Machine (SVM) are applied to make a short-term prediction of a food supplement, a product whose demand increased with the pandemic situation. Eighty-five percent of the historical data is used for training purposes and fifteen percent of the data is used for measuring accuracy. The accuracy of the models employed is improved with parameter optimization The accuracy performance indicator Mean Absolute Percentage Error (MAPE) showed that all methods give superior results when the historical data has an increasing sales trend. This study presents an important consideration for businesses and has a potential to be generalized for a business whose sales have an increasing trend not only because of the pandemic but also for any reason.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85603761","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