Pub Date : 2022-07-10DOI: 10.54560/jracr.v12i2.328
Mu Zhang, Yuke Luo
To further promote the theoretical research on digital finance's effective support for high-quality development of the real economy, this paper reviews the current status of domestic and foreign research on the impact mechanism of digital finance on the real economy and the impact mechanism of digital finance on economic growth. At present, domestic and foreign research on the impact mechanism of digital finance on the real economy mainly includes the basic transmission mechanism featuring the improvement of financing availability and guiding the flow of funds in the real economy, and the indirect transmission mechanism using innovation and R&D as a channel. Domestic and foreign research on the impact mechanism of digital finance on economic growth mainly includes: the direct impact mechanism featuring the improvement of financial services universality and efficiency, and the indirect impact mechanism with resident consumption, innovation and entrepreneurship, industrial structure transformation, and business environment as the channels. Future research directions include: deepening the research on the indirect transmission mechanism of digital finance to the real economy; expanding the research on the indirect impact mechanism of digital finance on economic growth.
{"title":"A Systematic Literature Review on the Influence Mechanism of Digital Finance on Economic Growth","authors":"Mu Zhang, Yuke Luo","doi":"10.54560/jracr.v12i2.328","DOIUrl":"https://doi.org/10.54560/jracr.v12i2.328","url":null,"abstract":"To further promote the theoretical research on digital finance's effective support for high-quality development of the real economy, this paper reviews the current status of domestic and foreign research on the impact mechanism of digital finance on the real economy and the impact mechanism of digital finance on economic growth. At present, domestic and foreign research on the impact mechanism of digital finance on the real economy mainly includes the basic transmission mechanism featuring the improvement of financing availability and guiding the flow of funds in the real economy, and the indirect transmission mechanism using innovation and R&D as a channel. Domestic and foreign research on the impact mechanism of digital finance on economic growth mainly includes: the direct impact mechanism featuring the improvement of financial services universality and efficiency, and the indirect impact mechanism with resident consumption, innovation and entrepreneurship, industrial structure transformation, and business environment as the channels. Future research directions include: deepening the research on the indirect transmission mechanism of digital finance to the real economy; expanding the research on the indirect impact mechanism of digital finance on economic growth.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90341602","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}
Pub Date : 2022-04-15DOI: 10.54560/jracr.v12i1.320
Xudong Cai, Hongmei Zhang
This paper takes 12 ecologically fragile provinces in Western China as the research object, calculates the comprehensive evaluation value of ecological environment and the development level of digital Inclusive Finance of 12 provinces in Western China from 2011 to 2020 by constructing the evaluation index system, and analyzes the changes of ecological environment and digital Inclusive Finance coordination scheduling by using the coupling coordination degree model. The results show that: the overall ecological environment assessment of 12 provinces in the west is on the rise; The level of digital Inclusive Finance has also increased year by year. The coordination degree is on the verge of maladjustment to primary coordination, and the coordination index is on the rise, which indicates that the relationship between the western ecological environment and digital Inclusive Finance is gradually easing and tends to coordinated development.
{"title":"Coupling Coordinated Development of Ecological Environment and Digital Inclusive Finance in Ecologically Fragile Areas of Western China","authors":"Xudong Cai, Hongmei Zhang","doi":"10.54560/jracr.v12i1.320","DOIUrl":"https://doi.org/10.54560/jracr.v12i1.320","url":null,"abstract":"This paper takes 12 ecologically fragile provinces in Western China as the research object, calculates the comprehensive evaluation value of ecological environment and the development level of digital Inclusive Finance of 12 provinces in Western China from 2011 to 2020 by constructing the evaluation index system, and analyzes the changes of ecological environment and digital Inclusive Finance coordination scheduling by using the coupling coordination degree model. The results show that: the overall ecological environment assessment of 12 provinces in the west is on the rise; The level of digital Inclusive Finance has also increased year by year. The coordination degree is on the verge of maladjustment to primary coordination, and the coordination index is on the rise, which indicates that the relationship between the western ecological environment and digital Inclusive Finance is gradually easing and tends to coordinated development.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91278217","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}
Pub Date : 2022-04-15DOI: 10.54560/jracr.v12i1.321
Mu Zhang, Q. Luo
To further promote the theoretical research that digital finance effectively supports the high-quality development of the real economy, this paper reviews the current situation of domestic and international research on the connotation of digital finance, the connotation of high-quality development of the real economy, and the influence mechanism of digital finance on high-quality economic development. At present, the research on the connotation of digital finance and the connotation of high-quality development of the real economy at home and abroad has been relatively mature. Domestic and foreign research on the influence mechanism of digital finance of high-quality economic development mainly includes direct influence mechanism featuring capital allocation effect and inclusive effect, and indirect influence mechanism featuring innovative development, coordinated development, green development, open development, shared development, and industrial structure transformation and upgrading as channels. Future research directions include: deepening the research on the indirect influence mechanism of digital finance on the high-quality economic development; deepening the research on the influence mechanism of digital finance on the high-quality development of the real economy.
{"title":"A Systematic Literature Review on the Influence Mechanism of Digital Finance on High Quality Economic Development","authors":"Mu Zhang, Q. Luo","doi":"10.54560/jracr.v12i1.321","DOIUrl":"https://doi.org/10.54560/jracr.v12i1.321","url":null,"abstract":"To further promote the theoretical research that digital finance effectively supports the high-quality development of the real economy, this paper reviews the current situation of domestic and international research on the connotation of digital finance, the connotation of high-quality development of the real economy, and the influence mechanism of digital finance on high-quality economic development. At present, the research on the connotation of digital finance and the connotation of high-quality development of the real economy at home and abroad has been relatively mature. Domestic and foreign research on the influence mechanism of digital finance of high-quality economic development mainly includes direct influence mechanism featuring capital allocation effect and inclusive effect, and indirect influence mechanism featuring innovative development, coordinated development, green development, open development, shared development, and industrial structure transformation and upgrading as channels. Future research directions include: deepening the research on the indirect influence mechanism of digital finance on the high-quality economic development; deepening the research on the influence mechanism of digital finance on the high-quality development of the real economy.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83005415","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}
Pub Date : 2022-04-15DOI: 10.54560/jracr.v12i1.322
Wen-yu Wang, Hongmei Zhang
From the perspective of innovation and entrepreneurship, we have collected relevant research results in the past few years (2018-present). Based on the collected data, a significant amount of research has been conducted up to the year 2022, indicating that experts and scholars are increasingly focused on the transmission of digital finance to a higher standard of development of the real-economy. Existing research is largely devoted to the transmission mechanisms of "digital finance-innovation and entrepreneurship" or "innovation and entrepreneurship-the high-quality development of the real-economy". There is little overview of "digital finance-innovation and entrepreneurship-the quality development of the real-economy." In this paper, we review relevant literature in the context of innovation and entrepreneurship, which may provide some useful guidance for improving the digital financial system and enhancing the growth of the real-economy.
{"title":"A Literature Review on the Transmission Mechanism of Innovation and Entrepreneurship for Digital Finance to Effectively Support the High-quality Development of Real-economy","authors":"Wen-yu Wang, Hongmei Zhang","doi":"10.54560/jracr.v12i1.322","DOIUrl":"https://doi.org/10.54560/jracr.v12i1.322","url":null,"abstract":"From the perspective of innovation and entrepreneurship, we have collected relevant research results in the past few years (2018-present). Based on the collected data, a significant amount of research has been conducted up to the year 2022, indicating that experts and scholars are increasingly focused on the transmission of digital finance to a higher standard of development of the real-economy. Existing research is largely devoted to the transmission mechanisms of \"digital finance-innovation and entrepreneurship\" or \"innovation and entrepreneurship-the high-quality development of the real-economy\". There is little overview of \"digital finance-innovation and entrepreneurship-the quality development of the real-economy.\" In this paper, we review relevant literature in the context of innovation and entrepreneurship, which may provide some useful guidance for improving the digital financial system and enhancing the growth of the real-economy.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79970639","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}
Pub Date : 2022-04-15DOI: 10.54560/jracr.v12i1.318
N. Ventikos, Vasileios C. Podimatas, A. Koimtzoglou
The use of LNG as maritime fuel is a viable option when it comes to reducing the harmful emissions produced by vessels throughout the world, to comply with IMO's Annex VI requirements. However, since the concept is gaining constant focus, special attention must be paid, so that stakeholders fully comprehend LNG's unique properties and hazards, as well as be aware of the standard procedures and best practices that must be followed when handling and storing LNG. In this paper, a Quantitative Risk Assessment (QRA) methodology is presented along with its application on an LNG bunkering case study at the Port of Piraeus. As a result, LNG's properties are considered, potential hazards are identified, failure frequencies are determined, and accidental consequences are modelled. Having evaluated these parameters, Individual Risk (IR) is assessed, safety distances are outlined, risk drivers are identified.
{"title":"LNG Bunkering QRA: A Case Study on the Port of Piraeus","authors":"N. Ventikos, Vasileios C. Podimatas, A. Koimtzoglou","doi":"10.54560/jracr.v12i1.318","DOIUrl":"https://doi.org/10.54560/jracr.v12i1.318","url":null,"abstract":"The use of LNG as maritime fuel is a viable option when it comes to reducing the harmful emissions produced by vessels throughout the world, to comply with IMO's Annex VI requirements. However, since the concept is gaining constant focus, special attention must be paid, so that stakeholders fully comprehend LNG's unique properties and hazards, as well as be aware of the standard procedures and best practices that must be followed when handling and storing LNG. In this paper, a Quantitative Risk Assessment (QRA) methodology is presented along with its application on an LNG bunkering case study at the Port of Piraeus. As a result, LNG's properties are considered, potential hazards are identified, failure frequencies are determined, and accidental consequences are modelled. Having evaluated these parameters, Individual Risk (IR) is assessed, safety distances are outlined, risk drivers are identified.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87915487","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}
Pub Date : 2022-04-15DOI: 10.54560/jracr.v12i1.319
D. Li, Kai Xu, Yun Li, Yu Jiang, Ming Tang, Yangdan Lu, Chun Cheng, Chunxiao Wang, Guan-bing Mo
Financial distress prediction is important for risk prevention and control of digital economy firms, as well as going concern guarantee. This paper takes 100 Chinese A-share listed digital economy firms from 2017 and 2021 as samples, obtains financial indicators by combining the characteristics of digital economy firms, the first three periods of financial distress are systematically modeled employs Logistic regression, while we use the Principal Component Analysis method to deal with the problem of multicollinearity. The results show that the profitability factor has the greatest contribution to the predictive role; the closer to the year in which the financial distress occurred, the higher the prediction accuracy rate. Finally this model achieves 86% prediction accuracy. The successful modelling provides a basis for information users to determine the financial distress of firms accurately and prospectively in the digital economy.
{"title":"Financial Distress Prediction for Digital Economy Firms: Based on PCA-Logistic","authors":"D. Li, Kai Xu, Yun Li, Yu Jiang, Ming Tang, Yangdan Lu, Chun Cheng, Chunxiao Wang, Guan-bing Mo","doi":"10.54560/jracr.v12i1.319","DOIUrl":"https://doi.org/10.54560/jracr.v12i1.319","url":null,"abstract":"Financial distress prediction is important for risk prevention and control of digital economy firms, as well as going concern guarantee. This paper takes 100 Chinese A-share listed digital economy firms from 2017 and 2021 as samples, obtains financial indicators by combining the characteristics of digital economy firms, the first three periods of financial distress are systematically modeled employs Logistic regression, while we use the Principal Component Analysis method to deal with the problem of multicollinearity. The results show that the profitability factor has the greatest contribution to the predictive role; the closer to the year in which the financial distress occurred, the higher the prediction accuracy rate. Finally this model achieves 86% prediction accuracy. The successful modelling provides a basis for information users to determine the financial distress of firms accurately and prospectively in the digital economy.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90755592","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}
Pub Date : 2022-01-25DOI: 10.54560/jracr.v11i4.309
Mu Zhang, Cheng-Fu Cao, Zhiyuan Lv
Based on theoretical analysis, we select the relevant data of 30 provinces (autonomous regions and municipalities) in China from 2013 to 2019, and empirically test the impact of financial technology on the development of big data industry and its mechanism using dynamic panel data model, mediating effect test method and threshold effect model. The benchmark regression results show that the regression coefficient of financial technology to big data industry is significantly positive at the significance level of 10%, indicating that the financial technology can directly promote the development of big data industry. The regression coefficient of the dynamic lag term of big data industry is negative, but not significant, indicating that the dynamic lag effect of big data industry is not obvious. The mediating effect test results show that the financial technology can indirectly promote the development of big data industry by alleviating the big data enterprise financing constraints. The big data enterprise financing constraints have a partial mediating effect, and the mediating effect account for 27.63% of the total effect. In addition, the threshold effect test results show that the direct effect of financial technology on big data industry is significantly enhanced when the development level of financial technology is higher than 5.8790, that is, there is a positive threshold effect of financial technology directly promoting the development of big data industry. However, the indirect effect of financial technology on big data industry is relatively weak when the development level of financial technology is higher than 5.4328, that is, financial technology indirectly promotes the development of big data industry by alleviating the big data enterprise financing constraints, which has a negative threshold effect.
{"title":"Financial Technology, Big Data Enterprise Financing Constraints and Big Data Industry Development: Empirical Analysis Based on Mediating Effect and Threshold Effect","authors":"Mu Zhang, Cheng-Fu Cao, Zhiyuan Lv","doi":"10.54560/jracr.v11i4.309","DOIUrl":"https://doi.org/10.54560/jracr.v11i4.309","url":null,"abstract":"Based on theoretical analysis, we select the relevant data of 30 provinces (autonomous regions and municipalities) in China from 2013 to 2019, and empirically test the impact of financial technology on the development of big data industry and its mechanism using dynamic panel data model, mediating effect test method and threshold effect model. The benchmark regression results show that the regression coefficient of financial technology to big data industry is significantly positive at the significance level of 10%, indicating that the financial technology can directly promote the development of big data industry. The regression coefficient of the dynamic lag term of big data industry is negative, but not significant, indicating that the dynamic lag effect of big data industry is not obvious. The mediating effect test results show that the financial technology can indirectly promote the development of big data industry by alleviating the big data enterprise financing constraints. The big data enterprise financing constraints have a partial mediating effect, and the mediating effect account for 27.63% of the total effect. In addition, the threshold effect test results show that the direct effect of financial technology on big data industry is significantly enhanced when the development level of financial technology is higher than 5.8790, that is, there is a positive threshold effect of financial technology directly promoting the development of big data industry. However, the indirect effect of financial technology on big data industry is relatively weak when the development level of financial technology is higher than 5.4328, that is, financial technology indirectly promotes the development of big data industry by alleviating the big data enterprise financing constraints, which has a negative threshold effect.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77222648","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}
Pub Date : 2022-01-25DOI: 10.54560/jracr.v11i4.312
G. Feng, Mu Zhang
Under the background of China's high-quality development and "domestic and international double circulation", it is required to gradually optimize the economic structure and social structure while ensuring economic growth. The role of consumption is increasingly prominent. The development of digital finance can promote residents' consumption and consumption upgrading, which in turn can promote high-quality economic development. In order to promote high-quality economic development, this paper reviews the literature in relevant fields, and finds that the literature that studies the three topics simultaneously is still very rare. The research on digital finance and high-quality economic development from the perspective of consumption upgrading is still very rare. It is suggested that the corresponding research can be conducted from the perspective of consumption upgrading in the future.
{"title":"A Literature Review on Digital Finance, Consumption Upgrading and High-quality Economic Development","authors":"G. Feng, Mu Zhang","doi":"10.54560/jracr.v11i4.312","DOIUrl":"https://doi.org/10.54560/jracr.v11i4.312","url":null,"abstract":"Under the background of China's high-quality development and \"domestic and international double circulation\", it is required to gradually optimize the economic structure and social structure while ensuring economic growth. The role of consumption is increasingly prominent. The development of digital finance can promote residents' consumption and consumption upgrading, which in turn can promote high-quality economic development. In order to promote high-quality economic development, this paper reviews the literature in relevant fields, and finds that the literature that studies the three topics simultaneously is still very rare. The research on digital finance and high-quality economic development from the perspective of consumption upgrading is still very rare. It is suggested that the corresponding research can be conducted from the perspective of consumption upgrading in the future.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88240841","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}
Pub Date : 2022-01-25DOI: 10.54560/jracr.v11i4.311
Haonan Zhang, Hongmei Zhang, Mu Zhang
This paper uses the text data mining method to separate the intonation in the annual reports of credit risk enterprises and non-credit risk enterprises, quantify it, and study the impact of annual report intonation on the effectiveness of credit risk prediction. In the empirical research, this paper uses the factor analysis method for some traditional financial variables, and uses the extracted components and intonation variables to predict the credit risk through the logistic model. The results show that the tone of enterprises with credit risk is more negative, and the degree of pessimism is significantly positively correlated with the probability of credit risk. By comparing the ROC curves of the prediction results before and after the addition of intonation variables, adding intonation variables to the credit risk prediction based on financial variables can improve the effectiveness of the prediction.
{"title":"Research on Enterprise Credit Risk Prediction Based on Text Information","authors":"Haonan Zhang, Hongmei Zhang, Mu Zhang","doi":"10.54560/jracr.v11i4.311","DOIUrl":"https://doi.org/10.54560/jracr.v11i4.311","url":null,"abstract":"This paper uses the text data mining method to separate the intonation in the annual reports of credit risk enterprises and non-credit risk enterprises, quantify it, and study the impact of annual report intonation on the effectiveness of credit risk prediction. In the empirical research, this paper uses the factor analysis method for some traditional financial variables, and uses the extracted components and intonation variables to predict the credit risk through the logistic model. The results show that the tone of enterprises with credit risk is more negative, and the degree of pessimism is significantly positively correlated with the probability of credit risk. By comparing the ROC curves of the prediction results before and after the addition of intonation variables, adding intonation variables to the credit risk prediction based on financial variables can improve the effectiveness of the prediction.","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88105254","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}
Pub Date : 2022-01-25DOI: 10.54560/jracr.v11i4.313
A. Pan, Yutong Luo
{"title":"Focus on Risk Crisis Management! 2021 Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions Was Held in Wenzhou","authors":"A. Pan, Yutong Luo","doi":"10.54560/jracr.v11i4.313","DOIUrl":"https://doi.org/10.54560/jracr.v11i4.313","url":null,"abstract":"","PeriodicalId":31887,"journal":{"name":"Journal of Risk Analysis and Crisis Response JRACR","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87100902","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}
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