scholarly journals Prediction and comparison of the impact of COVID-19 epidemic on the financial industry of major countries based on neural intelligent algorithm

2020 ◽  
Vol 39 (6) ◽  
pp. 8831-8838
Author(s):  
Bin Wang ◽  
Qingyuan Zhou

The global economy appears the trend of anti-globalization under the influence of COVID-19. Based on the input-output table of lead database from 2006 to 2020, this paper divides the factors that affect the development of financial industry in China, the United States and Russia into six aspects: price, intermediate input, household consumption, government consumption, export and import. ADGA-BP neural network model is proposed in this paper, which is based on six aspects of price, intermediate input, consumer, government consumption, export and import. The intermediate input is decomposed from the perspective of industrial structure to study the interrelationship between financial industry and other industries in the three countries. The results show that the intermediate input is the main factor in the development of financial industry in the three countries, but the source industries of the intermediate input are not the same; the two factors of household consumption and price are closely related to the development of financial industry in the three countries, and they all play a role in promoting China, while the relationship between household consumption and the United States and between price and Russia is reverse; Government consumption only has a significant impact on Russia; from the perspective of mutual influence, the mutual investment between the financial industry of China and the United States is relatively large, while the relationship between the Russian financial industry and the two countries is relatively weak. It shows that under the background of covid-19, the development of financial industry is affected.

1998 ◽  
Vol 9 (5) ◽  
pp. 549-568
Author(s):  
Noel D. Uri

The impact of energy on the adoption of conservation tillage is of special importance in addressing concerns about the effect of agricultural production on the environment in the United States. It is the subject of this paper. After establishing that a relationship exists between the price of energy and the adoption of conservation tillage via cointegration techniques, the relationship is quantified. It is shown that while the real price of crude oil, the proxy used for the price of energy, does not affect the rate of adoption of conservation tillage, it does impact the extent to which it is used. Finally, there is no structural instability in the relationship between the relative use of conservation tillage and the real price of crude oil over the period 1963 to 1997.


2012 ◽  
pp. 1626-1636
Author(s):  
Seyed-Mahmoud Aghazadeh

As the domestic businesses expand, many are making the choice to use foreign products, labor, and services to aid in their production. Global supply chains are minimizing the costs of the production process but are also creating vulnerabilities to home countries. As the global economy changes, the competitiveness between countries grows. Competitiveness can affect everything from a country’s economy to how a firm conducts international business. Addressing the need to find a method to increase the United States competitiveness in the world economy by improving the use of global supply chains would help to make domestic firms more successful in the global economy. Studying how companies position themselves abroad is important to providing insight into how to become more competitive. Worldwide companies are diversifying by moving more of their supply chain to international locations. This is providing them with many benefits such as better markets for products, lower costs, and more advanced technologies. As a result, the competitive strategy of companies is to increase production and decrease costs through the most efficient global supply chain. Maximizing the potential of domestic firms’ global supply chains is one of the most effective ways to increase U.S. competitiveness. If more big businesses in the United States are willing to participate on the global level, then the US will be able to improve their competitiveness.


Author(s):  
Seyed-Mahmoud Aghazadeh

As the domestic businesses expand, many are making the choice to use foreign products, labor, and services to aid in their production. Global supply chains are minimizing the costs of the production process but are also creating vulnerabilities to home countries. As the global economy changes, the competitiveness between countries grows. Competitiveness can affect everything from a country’s economy to how a firm conducts international business. Addressing the need to find a method to increase the United States competitiveness in the world economy by improving the use of global supply chains would help to make domestic firms more successful in the global economy. Studying how companies position themselves abroad is important to providing insight into how to become more competitive. Worldwide companies are diversifying by moving more of their supply chain to international locations. This is providing them with many benefits such as better markets for products, lower costs, and more advanced technologies. As a result, the competitive strategy of companies is to increase production and decrease costs through the most efficient global supply chain. Maximizing the potential of domestic firms’ global supply chains is one of the most effective ways to increase U.S. competitiveness. If more big businesses in the United States are willing to participate on the global level, then the US will be able to improve their competitiveness.


2016 ◽  
Vol 18 (11) ◽  
pp. 2469-2484 ◽  
Author(s):  
Sharif Mowlabocus

This article reflects upon recent developments in sex offender tracking and monitoring. Taking as its focus a suite of mobile applications available for use in the United States, the author explores the impact and consequences of remediating the data held by State offender databases. The article charts the recent history of techno-corrections as it applies to this category of criminal, before then undertaking an analysis of current remediation of this legally obtained data. In doing so, the author identifies how the recontextualizing of data serves to (re)negotiate the relationship between the user, the database and registered sex offenders. The author concludes by arguing that the (mobile) mapping of offender databases serves to obscure the original intentions of these recording mechanisms and might hinder their effectiveness in reducing sex offending.


2010 ◽  
Vol 8 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Susan E. Mayer

Children of affluent parents get more schooling than children of poor parents, which seems to imply that reducing income inequality would reduce inequality in schooling. Similarly, one of the best predictors of an individual’s income is his educational attainment, which seems to imply that reducing inequality in schooling will reduce income inequality. Economic theory predicts that all else being equal an increase in income inequality will lead to an increase in inequality of educational attainment. Empirical estimates suggest that when income inequality increased in the United States so did inequality in educational attainment. But changes in government education policies reduced the impact of the increase in income inequality on inequality in schooling. Economic theory also predicts that all else being equal an increase in inequality of educational attainment will result in greater inequality of earnings. But unequal schooling does not account for much of the variance in income, so equalizing schooling will do little to reduce the overall variation in economic success among adults.


2018 ◽  
Vol 48 (2) ◽  
pp. 249-269 ◽  
Author(s):  
OWEN DAVIS

AbstractThis article provides new evidence on the relationship between benefit conditionality and mental health. Using data on Temporary Assistance for Needy Families policies (TANF) – the main form of poverty relief in the United States – it explores whether the mental health of low-educated single mothers varies according to the stringency of conditionality requirements attached to receipt of benefit. Specifically, the article combines state-level data on sanctioning practices, work requirements and welfare-to-work spending with health data from the Behavioral Risk Factor Surveillance System and evaluates the impact of conditionality on mental health over a fifteen-year period (2000 to 2015). It finds that states that have harsher sanctions, stricter job search requirements and higher expenditure on welfare-to-work policies, have worse mental health among low-educated single mothers. There is also evidence that between-wave increases in the stringency of conditionality requirements are associated with deteriorations in mental health among the recipient population. It is suggested that these findings may reflect an overall effect of ‘intensive conditionality’, rather than of the individual variables per se. The article ends by considering the wider implications for policy and research.


Author(s):  
Victor Adjarho Ovuakporaye

This paper aims to explore the US-China trade war by looking at various issues surrounding the US-China trade relation. The US-China trade war had been imminent since January 2018, meritoriously commenced on 6 July 2018, which is still ongoing. The US imposed sanctions on various Chinese goods, which was counter by the Chinese side also. Both side have felt the effect of the trade war though China felt the impact more than United States. Though, both nations have recently held positive trade talks which leads to the first phase of negotiation the trade war is still ongoing. If the partnership between the United states and China collapses, this will also end up harming the global economy severely since they are crucial cornerstones of the international economy.


2020 ◽  
Author(s):  
Tetiana Tokhtamysh ◽  
◽  
Oleksandr Yaholnytskyi ◽  
Kateryna Hranko ◽  
◽  
...  

The article looks over the degree of implementation of FinTech services in the world. It’s determined that the leading countries in the implementation of FinTech are China, India, and South Africa. Crucial influencing factor is demographic, rather than the widespread demand among the population for modern technology. The penetration rate of these services in the United States, where the largest technology companies in the world are located, was only 46%. The share of service users among the population that actively use digital technologies reaches 33%. Noted that the objects of investment of American banks are startups, programming applications of open interfaces and platforms for third-party developers. European banks also aim to invest actively in the development of FinTech but are still more focus on their own development. It is determined that Asian, Australian and African banks tend to develop technological solutions on their own. According to experts, the number of partnership agreements in the world with FinTech companies will increase each year. The analysis of the regional structure of global investments in FinTech carried out. It showed a positive dynamics of investment during 2014–2019. Increasing the size of global investments is due to the interest of investors in new projects and business models. Venture capital investment priorities coincide with global ones and are related to reviewing, updating, and improving business processes. The amount of venture capital invested in FinTech projects stimulates the development of the financial industry, mainly in China, the United States, the United Kingdom, and Ireland. They account for almost 9 times more investment in FinTech than in other countries. Correlation-regression analysis was applied to investigate the relationship between the level of development of the FinTech market and foreign direct investments. According to the results of calculations, the largest impact on foreign direct investment has the volume of venture investment in FinTech-projects and the FinTech market development rating. This proves the positive impact of FinTech companies on the growth of foreign investments in the country.


2014 ◽  
Vol 30 (6) ◽  
pp. 1803
Author(s):  
Xinyi Lu

This paper examines the relationship between the regional variation in social capital in the United States and the propensity and properties of the management earnings forecasts. Social capital refers to connections among individualssocial networks and the norms of reciprocity and trustworthiness that arise from them (Putnam 2000). Using a comprehensive sample of companies in the United States, we find that firms located in region with higher social capital are more likely to issue a management earnings forecast and are inclined to forecast more frequently. In addition, earnings forecasts made by those firms tend to be more specific. Our findings suggest that mangers of firms in the high social capital regions are more likely to be concerned about their reputation of providing transparent information regarding their businesses because of the close connections among individuals and the greater propensities to honor obligations. This study contributes to the accounting literature by identifying a non-financial factor (i.e., social capital) that affects managements voluntary disclosure practices.


2020 ◽  
Vol 15 (1) ◽  
pp. 127-141
Author(s):  
Mauro Joseph

AbstractThis paper explores the relationship between economic growth and intergenerational mobility in the United States. Data from metropolitan statistical areas in the U.S. is used to examine how two measures of intergenerational mobility impact growth rates. More precisely, I examine how absolute income mobility and relative income mobility are related the growth rate of real gross metropolitan product (RGMP) from 2001 to 2011. I find that absolute mobility has a positive relationship with RGMP growth over the time period, and that relative mobility exhibits a negative relationship with RGMP. Results are found to be robust to two stage least squares estimation.


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