With the advent of the era of big data,traditional financial management has been unable to meet the needs of modern enterprise business.Enterprises hope that financial management has the function of improving the accu...With the advent of the era of big data,traditional financial management has been unable to meet the needs of modern enterprise business.Enterprises hope that financial management has the function of improving the accuracy of corporate financial data,assisting corporate management to make decisions that are more in line with the actual development of the company,and optimizing corporate management systems,thereby comprehensively improving the overall level of the company and ensuring that the company can be in business with the assistance of financial integration,can better improve and develop themselves.Based on the investigation of enterprises and universities,this article analyzes the problem of accounting talent training from both the demand and supply ends,and puts forward some suggestions for the teaching reform of accounting integration with big data in financial colleges and universities,and strives to promote the integration of business and finance.The optimal allocation of enterprise resources will gradually enhance the market competitiveness of enterprises,and explore the application strategies of big data technology in the integration of enterprise business and finance.展开更多
In the context of the rapid development of big data technology,the financial management model of Internet financial enterprises is undergoing a profound transformation.This paper analyzes the key aspects of applying b...In the context of the rapid development of big data technology,the financial management model of Internet financial enterprises is undergoing a profound transformation.This paper analyzes the key aspects of applying big data technology in Internet finance,including its basic concepts,characteristics,and current state of development in the field.It examines the current situation and primary challenges faced by financial management in Internet financial enterprises,such as risk management,cost control,and data integration.To address these challenges,optimization strategies based on big data are proposed,focusing on areas such as risk control and cost optimization.By constructing a financial data analysis model,this study provides an in-depth analysis of relevant data,demonstrating the role of big data technology in improving financial management.Finally,through a case study,the effectiveness of big data applications in financial management is verified,and future development directions are discussed.展开更多
Background:his paper presents a case study on 100Credit,an Internet credit service provider in China.100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating bus...Background:his paper presents a case study on 100Credit,an Internet credit service provider in China.100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating business.The company makes use of Big Data on multiple aspects of individuals’online activities to infer their potential credit risk.Methods:Based on 100Credit’s business practices,this paper summarizes four aspects related to the value of Big Data in Internet credit services.Results:1)value from large data volume that provides access to more borrowers;2)value from prediction correctness in reducing lenders’operational cost;3)value from the variety of services catering to different needs of lenders;and 4)value from information protection to sustain credit service businesses.Conclusion:The paper also discusses the opportunities and challenges of Big Databased credit risk analysis,which needs to be improved in future research and practice.展开更多
As technology and the internet develop,more data are generated every day.These data are in large sizes,high dimensions,and complex structures.The combination of these three features is the“Big Data”[1].Big data is r...As technology and the internet develop,more data are generated every day.These data are in large sizes,high dimensions,and complex structures.The combination of these three features is the“Big Data”[1].Big data is revolutionizing all industries,bringing colossal impacts to them[2].Many researchers have pointed out the huge impact that big data can have on our daily lives[3].We can utilize the information we obtain and help us make decisions.Also,the conclusions we drew from the big data we analyzed can be used as a prediction for the future,helping us to make more accurate and benign decisions earlier than others.If we apply these technics in finance,for example,in stock,we can get detailed information for stocks.Moreover,we can use the analyzed data to predict certain stocks.This can help people decide whether to buy a stock or not by providing predicted data for people at a certain convincing level,helping to protect them from potential losses.展开更多
After the implementation of Energy Efficiency Law (EEL) in Turkey, Turkish engineering firms show considerable interest in energy savings projects. There is a growing sign of an energy effi- ciency implementation in T...After the implementation of Energy Efficiency Law (EEL) in Turkey, Turkish engineering firms show considerable interest in energy savings projects. There is a growing sign of an energy effi- ciency implementation in Turkey. However, energy importation costs of Turkey still present a challenge leading to huge financial burdens. This paper explores the energy financing in Turkey and the likelihood of risks after the establishment of structural reforms. The so-called structural problems on the agenda of Turkey are emphasized during the crisis. Actually, global crisis affected the lending conditions herein counterparty risk and restricted the relations of enterprises and banks. In this study, it is argued that there are strong barriers for the future energy saving industry in Turkey made up of macro-economic, micro-economic and financial risks coming through both domestic and global means.展开更多
At present,rural credit cooperative is an essential part of rural financial system in China. Since the foundation of new China,especially since the reform and opening-up,rural credit cooperative has become the largest...At present,rural credit cooperative is an essential part of rural financial system in China. Since the foundation of new China,especially since the reform and opening-up,rural credit cooperative has become the largest financial organization in rural areas. However,its operation mode needs further improvement and service functions are to be strengthened. Therefore,learning successful mode of rural cooperative finance in foreign countries has important theoretical and realistic significance for promoting development of China's rural cooperative finance.展开更多
As a pillar in the development of China5 s economy,the financial industry plays a key role in the production and life of residents.Along with the widespread application of the internet,internet finance has gradually e...As a pillar in the development of China5 s economy,the financial industry plays a key role in the production and life of residents.Along with the widespread application of the internet,internet finance has gradually emerged as required by the times,and in the achievement of the collection and extraction of big data,related analysis and exploration technologies have been emphasized more.However,in the context of big data technology,there are still risks of unsound laws,inadequate business publicity,user information security,and capital liquidity in internet finance.Under this digital economy era,this article attempts to discuss these risks,which need to be prevented from establishing a good internet financial system,strengthening interindustry exchanges and cooperation,building a unified internet financial information supervision platform,as well as optimizing the internet financial credit reporting system,so as to promote a healthy and sound development of the whole financial industry.展开更多
Background:Access to surgical care in Low-and Middle-Income Countries(LMICs)such as Tanzania is extremely limited.Northern Tanzania is served by a single tertiary referral hospital,Kilimanjaro Christian Medical Centre...Background:Access to surgical care in Low-and Middle-Income Countries(LMICs)such as Tanzania is extremely limited.Northern Tanzania is served by a single tertiary referral hospital,Kilimanjaro Christian Medical Centre(KCMC).The surgical volumes,workflow,and payment mechanisms in this region have not been characterized.Understanding these factors is critical in expanding access to healthcare.The authors sought to evaluate the operations and financing of the main operating theaters at KCMC in Sub-Saharan Africa.Methods:The 2018 case volume and specialty distribution(general,orthopaedic,and gynecology)in the main operating theaters at KCMC was retrieved through retrospective review of operating report books.Detailed workflow(i.e.planned and cancelled cases,lengths of procedures,lengths of operating days)and financing data(patient payment methods)from the five KCMC operating theater logs were retrospectively reviewed for the available fivemonth period of March 2018 to July 2018.Descriptive statistics and statistical analysis were performed.Results:In 2018,the main operating theaters at KCMC performed 3817 total procedures,with elective procedures(2385)outnumbering emergency procedures(1432).General surgery(1927)was the most operated specialty,followed by orthopaedics(1371)and gynecology(519).In the five-month subset analysis period,just 54.6%of planned operating days were fully completed.There were 238 cancellations(20.8%of planned operations).Time constraints(31.1%,74 cases)was the largest reason;lack of patient payment accounted for as many cancellations as unavailable equipment(6.3%,15 cases each).Financing for elective theater cases included insurance 45.5%(418 patients),and cash 48.4%(445 patients).Conclusion:While surgical volume is high,there are non-physical inefficiencies in the system that can be addressed to reduce cancellations and improve capacity.Improving physical resources is not enough to improve access to care in this region,and likely in many LMIC settings.Patient financing and workflow will be critical considerations to truly improve access to surgical care.展开更多
Agriculture is facing great challenge in meeting global food security and is expected to face even greater challenge under climate change. The overall goal of this paper is to examine how finance can be used to achiev...Agriculture is facing great challenge in meeting global food security and is expected to face even greater challenge under climate change. The overall goal of this paper is to examine how finance can be used to achieve the joint objectives of development, mitigation of and adaptation to climate change in agriculture in developing world based on literature review. The results show that agriculture is much under invested and foreign aid also has not increased appropriately to assist developing countries to maintain sustainable agriculture under climate change. There are a wide range of areas in mitigation of and adaptation to climate change that need substantial investment. Major areas and successful cases mitigation of and adaptation to climate change in agriculture that have worked in developing countries are examined. A list of areas that have worked, could work and be scaled up or transferred is identified and discussed. This study concludes that mainstreaming agricultural mitigation and adaptation into agricultural development programs, enhancing local capacity, and considering different stakeholders＇ needs are major experiences for successfully financing sustainable agriculture under climate change.展开更多
在spark大数据技术平台上,根据交替最小二乘协同过滤算法(Alternating Least Squares)对投资融资行业的历史数据进行分析建模,提出并构建该行业个性化推荐应用解决方案.该解决方案通过向初创企业推荐可靠的投资机构,能够更快、更好的满...在spark大数据技术平台上,根据交替最小二乘协同过滤算法(Alternating Least Squares)对投资融资行业的历史数据进行分析建模,提出并构建该行业个性化推荐应用解决方案.该解决方案通过向初创企业推荐可靠的投资机构,能够更快、更好的满足企业的融资需求,具有重要的现实意义和商业价值.根据投资融资行业特点,提出图计算作为统计分析的方法,给出了处理投资融资领域数据的评分算法,采用spring MVC架构实现了微型WEB推荐系统,最后结合实际实验数据给出了推荐模型评价标准并给出该推荐系统的优化思路.展开更多
基金The research was co-completed by School of Journalism and Communication of Hunan Normal University and Financial Big-Data Research Institute of Hunan University of Finance and Economics.This research was funded by the National Natural Science Foundation of China(No.72073041)Open Foundation for the University Innovation Platform in Hunan Province(No.18K103)+2 种基金2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province,Open Project(Nos.20181901CRP03,20181901CRP04,20181901CRP05)2020 Hunan Provincial Higher Education Teaching Reform Research Project(Nos.HNJG-2020-1130,HNJG-2020-1124)2020 General Project of Hunan Social Science Fund(No.20B16).
文摘With the advent of the era of big data,traditional financial management has been unable to meet the needs of modern enterprise business.Enterprises hope that financial management has the function of improving the accuracy of corporate financial data,assisting corporate management to make decisions that are more in line with the actual development of the company,and optimizing corporate management systems,thereby comprehensively improving the overall level of the company and ensuring that the company can be in business with the assistance of financial integration,can better improve and develop themselves.Based on the investigation of enterprises and universities,this article analyzes the problem of accounting talent training from both the demand and supply ends,and puts forward some suggestions for the teaching reform of accounting integration with big data in financial colleges and universities,and strives to promote the integration of business and finance.The optimal allocation of enterprise resources will gradually enhance the market competitiveness of enterprises,and explore the application strategies of big data technology in the integration of enterprise business and finance.
文摘In the context of the rapid development of big data technology,the financial management model of Internet financial enterprises is undergoing a profound transformation.This paper analyzes the key aspects of applying big data technology in Internet finance,including its basic concepts,characteristics,and current state of development in the field.It examines the current situation and primary challenges faced by financial management in Internet financial enterprises,such as risk management,cost control,and data integration.To address these challenges,optimization strategies based on big data are proposed,focusing on areas such as risk control and cost optimization.By constructing a financial data analysis model,this study provides an in-depth analysis of relevant data,demonstrating the role of big data technology in improving financial management.Finally,through a case study,the effectiveness of big data applications in financial management is verified,and future development directions are discussed.
文摘Background:his paper presents a case study on 100Credit,an Internet credit service provider in China.100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating business.The company makes use of Big Data on multiple aspects of individuals’online activities to infer their potential credit risk.Methods:Based on 100Credit’s business practices,this paper summarizes four aspects related to the value of Big Data in Internet credit services.Results:1)value from large data volume that provides access to more borrowers;2)value from prediction correctness in reducing lenders’operational cost;3)value from the variety of services catering to different needs of lenders;and 4)value from information protection to sustain credit service businesses.Conclusion:The paper also discusses the opportunities and challenges of Big Databased credit risk analysis,which needs to be improved in future research and practice.
文摘As technology and the internet develop,more data are generated every day.These data are in large sizes,high dimensions,and complex structures.The combination of these three features is the“Big Data”[1].Big data is revolutionizing all industries,bringing colossal impacts to them[2].Many researchers have pointed out the huge impact that big data can have on our daily lives[3].We can utilize the information we obtain and help us make decisions.Also,the conclusions we drew from the big data we analyzed can be used as a prediction for the future,helping us to make more accurate and benign decisions earlier than others.If we apply these technics in finance,for example,in stock,we can get detailed information for stocks.Moreover,we can use the analyzed data to predict certain stocks.This can help people decide whether to buy a stock or not by providing predicted data for people at a certain convincing level,helping to protect them from potential losses.
文摘After the implementation of Energy Efficiency Law (EEL) in Turkey, Turkish engineering firms show considerable interest in energy savings projects. There is a growing sign of an energy effi- ciency implementation in Turkey. However, energy importation costs of Turkey still present a challenge leading to huge financial burdens. This paper explores the energy financing in Turkey and the likelihood of risks after the establishment of structural reforms. The so-called structural problems on the agenda of Turkey are emphasized during the crisis. Actually, global crisis affected the lending conditions herein counterparty risk and restricted the relations of enterprises and banks. In this study, it is argued that there are strong barriers for the future energy saving industry in Turkey made up of macro-economic, micro-economic and financial risks coming through both domestic and global means.
文摘At present,rural credit cooperative is an essential part of rural financial system in China. Since the foundation of new China,especially since the reform and opening-up,rural credit cooperative has become the largest financial organization in rural areas. However,its operation mode needs further improvement and service functions are to be strengthened. Therefore,learning successful mode of rural cooperative finance in foreign countries has important theoretical and realistic significance for promoting development of China's rural cooperative finance.
文摘As a pillar in the development of China5 s economy,the financial industry plays a key role in the production and life of residents.Along with the widespread application of the internet,internet finance has gradually emerged as required by the times,and in the achievement of the collection and extraction of big data,related analysis and exploration technologies have been emphasized more.However,in the context of big data technology,there are still risks of unsound laws,inadequate business publicity,user information security,and capital liquidity in internet finance.Under this digital economy era,this article attempts to discuss these risks,which need to be prevented from establishing a good internet financial system,strengthening interindustry exchanges and cooperation,building a unified internet financial information supervision platform,as well as optimizing the internet financial credit reporting system,so as to promote a healthy and sound development of the whole financial industry.
文摘Background:Access to surgical care in Low-and Middle-Income Countries(LMICs)such as Tanzania is extremely limited.Northern Tanzania is served by a single tertiary referral hospital,Kilimanjaro Christian Medical Centre(KCMC).The surgical volumes,workflow,and payment mechanisms in this region have not been characterized.Understanding these factors is critical in expanding access to healthcare.The authors sought to evaluate the operations and financing of the main operating theaters at KCMC in Sub-Saharan Africa.Methods:The 2018 case volume and specialty distribution(general,orthopaedic,and gynecology)in the main operating theaters at KCMC was retrieved through retrospective review of operating report books.Detailed workflow(i.e.planned and cancelled cases,lengths of procedures,lengths of operating days)and financing data(patient payment methods)from the five KCMC operating theater logs were retrospectively reviewed for the available fivemonth period of March 2018 to July 2018.Descriptive statistics and statistical analysis were performed.Results:In 2018,the main operating theaters at KCMC performed 3817 total procedures,with elective procedures(2385)outnumbering emergency procedures(1432).General surgery(1927)was the most operated specialty,followed by orthopaedics(1371)and gynecology(519).In the five-month subset analysis period,just 54.6%of planned operating days were fully completed.There were 238 cancellations(20.8%of planned operations).Time constraints(31.1%,74 cases)was the largest reason;lack of patient payment accounted for as many cancellations as unavailable equipment(6.3%,15 cases each).Financing for elective theater cases included insurance 45.5%(418 patients),and cash 48.4%(445 patients).Conclusion:While surgical volume is high,there are non-physical inefficiencies in the system that can be addressed to reduce cancellations and improve capacity.Improving physical resources is not enough to improve access to care in this region,and likely in many LMIC settings.Patient financing and workflow will be critical considerations to truly improve access to surgical care.
基金the National Basic Research Program of China(973 Program,2012CB955700)the World Institute for Development Economics Research of United Nations University(UNUWIDER)the International Development Research Center(107093-001)
文摘Agriculture is facing great challenge in meeting global food security and is expected to face even greater challenge under climate change. The overall goal of this paper is to examine how finance can be used to achieve the joint objectives of development, mitigation of and adaptation to climate change in agriculture in developing world based on literature review. The results show that agriculture is much under invested and foreign aid also has not increased appropriately to assist developing countries to maintain sustainable agriculture under climate change. There are a wide range of areas in mitigation of and adaptation to climate change that need substantial investment. Major areas and successful cases mitigation of and adaptation to climate change in agriculture that have worked in developing countries are examined. A list of areas that have worked, could work and be scaled up or transferred is identified and discussed. This study concludes that mainstreaming agricultural mitigation and adaptation into agricultural development programs, enhancing local capacity, and considering different stakeholders＇ needs are major experiences for successfully financing sustainable agriculture under climate change.
文摘在spark大数据技术平台上,根据交替最小二乘协同过滤算法(Alternating Least Squares)对投资融资行业的历史数据进行分析建模,提出并构建该行业个性化推荐应用解决方案.该解决方案通过向初创企业推荐可靠的投资机构,能够更快、更好的满足企业的融资需求,具有重要的现实意义和商业价值.根据投资融资行业特点,提出图计算作为统计分析的方法,给出了处理投资融资领域数据的评分算法,采用spring MVC架构实现了微型WEB推荐系统,最后结合实际实验数据给出了推荐模型评价标准并给出该推荐系统的优化思路.
