CRISIS-CONTAINING FACTORS OF THE PRC's DEVELOPMENT

In 2022–2023, China is entering a new stage of its development. The combination of a number of crisis-con-taining factors increases the likelihood of a large-scale socio-economic shock. Partly man-made excessive slowdown in economic development due to the "Zero COVID policy”, the ongoing and escalating US-Chinese rivalry and, in particular, the "technological war”, the over-concentration of power after the 20th Congress of the CPC, as well as the growing tension around the Taiwan problem – all together, or with the imposition of just two or three components, can lead to serious negative socio-economic consequences that will put into question Beijing's achievement of its second "centennial goal” – the establishment of the PRC as one of the leading world powers by 2049. With the exception of the domestic political sphere, China is trying to find answers to the above-mentioned challenges. In late 2022 – early 2023, Beijing removes anti-coronavirus restrictions, activates trade and economic cooperation in various formats, attempts to find out common ground between Chinese and American global interests, continues to make efforts in the European (also African, Asian, etc.) direction of its foreign policy, as well as emphasizes the high level of Russian-Chinese cooperation. At the same time, trying to provide answers to crisis-containing factors, Beijing faces both opportunities and limitations. The coming year or two seem to be most difficult for China over the last 20 years. The slowdown in the economy and domestic consumption, social protests, new challenges of the pandemic, the search for options to normalize relations with the United States, balancing between the West and Russia against the background of the Ukrainian crisis, etc. will require non-standard solutions from the Chinese leadership. Here we can expect both traditional successes and possible failures. In the near future, the political model chosen by Beijing at the 20th CPC Congress will be tested for effectiveness. © 2023 Vasily V. MIKHEEV.

Model "Nearshoring" - the Concept of the New Economy of the Latin America

In the vocabulary of world economics, the term "nearshoring" has become increasingly common. It implies the spread of business in its most diverse manifestations (e.g. foreign trade, cross-border investment, technology transfer, outsourcing, formation of value chains, etc.) mainly to neighboring countries. This growing trend was a response to the many problems that arose in the global economy and world trade during the coronavirus pandemic and the subsequent geopolitical upheavals. In fact, the process of neoliberal globalization, which for four decades was determining the development vector and the content of world economic relations, switched to low dynamics mode. Latin America, as an important part of a complex international economic hub, has actively participated in the globalization process, but has not become its beneficiary, unlike Asian states. Most of the Latin American economies based their development models on the intensive exploitation of vast natural resources in the interests of world markets. However, this neither brought the region to the forefront of the global economy, nor did it solve the acute social problems of Latin America. Therefore, in the conditions of the ongoing crisis, a growing number of Latin American states are ready to make adjustments to their development models, and focus on the strategy of "nearshoring" in order to maximize intraregional cooperation that would stimulate accelerated economic growth.

BEIJING'S PAIN POINTS - 3 (The Change of Economic Model and Foreign Policy Risks)

The consequences of COVID-19, both inside and outside China, especially in the countries - major importers of Chinese products, have negatively impacted the Chinese economy. These negative socio-economic consequences forced Beijing to accelerate the transition to a relatively new economic development model, which was marked in the early 2000s. The main component of this model is the expansion of domestic consumption and, accordingly, a further increase of the contribution of this indicator to the Chinese GDP itself and of its growth rate. However, this does not mean that China will abandon economic expansion and the implementation of its foreign economic and initiatives. Their importance as structural parts of the new economic model will continue and even grow. The acceleration of the transition to the dominance of domestic consumption in economic development is additionally conditioned by the foreign policy deadlock in which China found itself at the end of 2020. Despite the world's fastest economic recovery from the COVID-19 pandemic, China has been unable to take advantage of this advantage effectively. Chinese "mask" diplomacy did not bring the desired results for Beijing - the PRC was not able to raise the leader's torch temporarily lost by the United States. On the contrary, under the influence of Western propaganda, the contradiction in the perception of China as "our own" in the market sphere and "an alien" in the sphere of ideology has intensified. At the same time, due to increased competition in high-tech markets, in particular, 5G communication technologies, the ideological "alienation" of China is beginning to be used by Western countries in market wars in their favor. The forecast of economic development both by international and Chinese experts assumes the growth rate of China's GDP in 2021 will be in the range of 6-8%. In our opinion, this is an overly optimistic estimate, and the corresponding figure will probably be 5-6%. The PRC is entering the 14th Five-Year Plan amid greater uncertainty: the prospects for the recovery of the world economy as a whole and, in particular, of the main Chinese trading partners, are not clear;limited instability is possible due to the accelerated change in the model of economic development;the volume of Chinese GDP has reached more than 15 trillion USD, therefore, each percent of its growth has become significantly "heavier" and more difficult to achieve. At the same time, the primacy in economic recovery and the continued potential for the expansion of the Chinese middle class bring positive contribution to the economic prospects of the PRC.

CONSEQUENCES OF INTEGRATION PROCESSES FOR BUSINESS CONTINUITY MANAGEMENT

The modern business environment in which the world economy operates brings increasing unpredictability, which makes it difficult to plan and implement business continuity management. Recent examples are the emergence and spread of the corona virus and the war in Ukraine. Market-oriented economies are characterized by a reduction in the life cycle of companies and competition in saturated industrial sectors. Integration processes, takeovers and mergers, represent one of the ways of implementing development strategies of organizations and most often take place in waves and in crisis periods due to economic shocks and the influence of internal and external factors on the organization. Mentioned strategy is used by companies in order to acquire the necessary capital and resources in an effort to establish their position on the market more quickly and efficiently and to carry out activities of greater volume and income for the purpose of survival and faster progress. Due to the trends of M&A and the growing inconsistency and uncertainty in business, the aim of this paper is to highlight the consequences that M&A brings when it comes to managing the business continuity of a "newly integrated" organization. The impact on employees, business processes and general functioning and management of business continuity during and especially after integration will be observed. In order to fulfill the objective of the paper, the empirical part of the paper uses the Delphi method, in which the source of data is based on statistical collection and then the interpretation of the answers to the set questionnaire from a number of experts in the field of business continuity management, the banking sector, auditing and several business units that have recently passed M&A activities in order to consolidate attitudes about the consequences that integration processes bring for business continuity management and the organization as a whole. The paper will analyze the consequences of mergers and acquisitions for the management of business continuity, identify its advantages and disadvantages, and present recommendations for future such processes in the concluding remarks.

Myth and Reality in the Great Inflation Debate: Supply Shocks and Wealth Effects in a Multipolar World Economy

This article critically evaluates debates over the causes of U.S. inflation. We first show that claims that the Biden stimulus was the major cause of inflation are mistaken: the key data series—stimulus spending and inflation—move dramatically out of phase. While the first ebbs quickly, the second persistently surges. We then look at alternative explanations for the price rises. We assess four supply-side factors: imports, energy prices, rises in corporate profit margins, and COVID. We argue that discussions of COVID's impact have thus far only tangentially acknowledged the pandemic's far-reaching effects on labor markets. We conclude that while all four factors played roles in bringing on and sustaining inflation, they cannot explain all of it. There is an aggregate demand problem. But the surprise surge in demand did not arise from government spending. It came from the unprecedented gains in household wealth, particularly for the richest 10% of households, which we show powered the recovery of aggregate US consumption expenditure, especially from July 2021. The final cause of the inflationary surge in the U.S., therefore, was in large measure the unequal (wealth) effects of ultra-loose monetary policy during 2020–2021. This conclusion is important because supply-side (and thus potentially inflationary) pressures are unlikely to subside soon. Going forward, COVID, war, climate change, and the drift to a belligerently multipolar world system are all likely to keep straining global supply chains. Our conclusion outlines how policy has to change to deal with a world of steady, but irregular supply shocks, including Covid's continuing impact on labor markets. By their nature, such shocks create problems that monetary policy can cope with only at an enormous cost;they require targeted solutions. But when supply plummets or becomes more variable, fiscal policy also has to adapt: existing explorations of ways to steady demand over the business cycle have to embrace much bolder macroeconomic measures to control over-spending when supply is temporarily constrained. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.

Visual Exploratory Data Analysis of the Covid-19 Pandemic in Nigeria: Two Years after the Outbreak

The outbreak of the coronavirus disease in Nigeria and all over the world in 2019/2020 caused havoc on the world's economy and put a strain on global healthcare facilities and personnel. It also threw up many opportunities to improve processes using artificial intelligence techniques like big data analytics and business intelligence. The need to speedily make decisions that could have far-reaching effects is prompting the boom in data analytics which is achieved via exploratory data analysis (EDA) to see trends, patterns, and relationships in the data. Today, big data analytics is revolutionizing processes and helping improve productivity and decision-making capabilities in all aspects of life. The large amount of heterogeneous and, in most cases, opaque data now available has made it possible for researchers and businesses of all sizes to effectively deploy data analytics to gain action-oriented insights into various problems in real time. In this paper, we deployed Microsoft Excel and Python to perform EDA of the covid-19 pandemic data in Nigeria and presented our results via visualizations and a dashboard using Tableau. The dataset is from the Nigeria Centre for Disease Control (NCDC) recorded between February 28th, 2020, and July 19th, 2022. This paper aims to follow the data and visually show the trends over the past 2 years and also show the powerful capabilities of these data analytics tools and techniques. Furthermore, our findings contribute to the current literature on Covid-19 research by showcasing how the virus has progressed in Nigeria over time and the insights thus far. © 2022 IEEE.

Covid-19: The Effect on Hospitalization Patient of Ophthalmology Department in "Antonio Cardarelli” Hospital

A pneumonia outbreak of unknown origin was reported in Wuhan, China in late December. This virus, called coronavirus-2, has an impact on the respiratory tract, leading to acute respiratory syndromes. In 2020, this virus was declared a pandemic by the World Health Organization since it caused a high number of deaths worldwide. In addition, this pandemic has had a negative impact on the world economy, focusing the attention of the practitioners on the resource management in health structures. This work was carried out to evaluate the effects of the pandemic on the ordinary hospitalization activities of the Department of Ophthalmology at "A. Cardarelli” based in Naples (Italy). The dataset was evaluated using statistical analysis techniques and logistic regression. The results, for this department, did not show significant differences when comparing the health variables of the pre-pandemic year (2019) with the pandemic year (2020). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A COVID-19 detection method based on self-supervised learning and transfer learning

Since the global outbreak of COVID-19, the epidemic has had a great impact on people's lives and the world economy. Diagnosis of COVID-19 using deep learning has become increasingly important due to the inefficiency of traditional RT-PCR test. However, training deep neural networks requires a large amount of manually labeled data, and collecting a large number of COVID-19 CT images is difficult. To address this issue, we explore the effect of Pretext-Invariant Representation Learning (PIRL) using unlabeled datasets to pre-train the network on classification results. In addition, we also explore the prediction effect of PIRL combined with transfer learning (TF). According to the experimental results, applying the TF-PIRL prediction model constructed in this paper to COVID-19 diagnosis, the accuracy and AUC are 0.7734 and 0.8556 respectively, which outperform the network training from scratch, transfer learning-based network training and PIRL-based network training. © 2022 IEEE.

Framework Design of Intelligent Career Recommendation System for Undergraduates

The development of artificial intelligence technology has proudly enhanced the quality of life and education of students. The outbreak of COVID-19 in early 2020 dealt a huge blow to the world economy and workplace environment, therefore planning a career path before graduation is a primary and core task for undergraduate students to succeed in this era. This paper introduces the framework design of an intelligent career recommendation system, which is based on the analysis of the required career ability and students' individual ability to achieve accurate career recommendations. © 2022 IEEE.

What drives willingness to travel in the context of COVID-19?—A measurement of eco-environmental values

The outbreak of COVID-19 has had tremendous impacts on human health and the world economy. Studies have focused on the impact of COVID-19 on potential tourists and tourism destinations from the perspectives of individuals, industries and organizations, and they have provided some measures for tourism recovery. However, under the situation of individual restriction, research has not systematically explained residents' desire for trips of different distances and factors or the similarities and differences in the factors affecting tourism willingness for trips of different distances. In this context, a measurement of eco-environmental values is used to investigate these issues to help the tourism economy recover. Using questionnaires covering all provinces in mainland China, this paper investigates residents' travel willingness to make trips of different distances, and it utilizes binary logistic regression analysis to examine the factors that help predict tourists' travel intentions. In addition, the patterns of willingness to travel different distances are displayed in maps generated by ArcGIS software. The results suggest that the objective COVID-19 confirmed case distribution follows distance decay theory;however, the distribution patterns of travel willingness are not in accordance with distance decay. The factors that have a significant impact on predicting travel willingness regarding the three kinds of trip distances are educational background, cognition of COVID-19, and geographical division factors. Income and the severity of the pandemic situation play different roles in predicting travel willingness in this study. Overall, the findings of this study extend the application of distance decay theory, which contributes to tourism studies in the COVID-19 context. The findings are also beneficial for tourism recovery and crisis management against the backdrop of pandemic normalization.

Related Return Patterns Adjustment Under the Impact of COVID-19 on Hedge Funds

The latest threat to global health is an ongoing outbreak of a respiratory disease known as COVID-19 and has become a global concern. The exponential spread of the COVID-19 pandemic shook up global markets and caused major adjustments to the world economy. In this paper, we investigate whether these changes affected hedge fund return patterns. We decompose hedge fund index returns into Fama-French factors using data from 2017 - 2019 and compare it to decompositions using data from 2020 and 2021 to date. Our empirical results suggest that the Fama-French factor exposures changed on the conventional hedge funds. This has reflected that COVID-19 has an impact on the return patterns of the hedge funds we selected. The findings have implications for investors and major players in the investment markets. Our research is useful for predicting how the performance of hedge funds changes in market disruption. © 2022 ACM.

MONITORING OF TECHNOLOGICAL INEQUALITY IN THE MODERN WORLD ECONOMY: ASSESSING THE SCALE OF THE GLOBAL CONFLICT AND SCENARIOS FOR ITS DEVELOPMENT DEPENDING ON CONFLICT MANAGEMENT

Purpose: This chapter aims to study the issue of technological inequality in the modern world economy from the position of assessment of the scale of global conflict and the scenario of its development depending on conflict management. Design/methodology/approach: The performed review of literature sources has shown that they provide an insufficient scientific basis for determining the level of technological inequality in the modern world economy from the position of assessment of the scale of the global conflict and scenarios of its development depending on conflict management. To fill this gap in the system of scientific knowledge, we use the method of comparative and correlation analysis of statistical data. The research objects are China and the United States, as well as other countries of the world that have the highest level of technological development, trade, and digitalization. Findings: This chapter provides a review of factors that determine scientific arguments in favour of technological inequality of countries, which leads to a global conflict. Many forms of inequality have a socio-economic character and are connected to access to the main services (healthcare, education, or accommodation), as well as incomes and access to the sources of income, especially in the sphere of employment. The deficit of decent work and inequality turned the COVID-19 pandemic from the crisis of public healthcare into the crisis of employment and social conflict, which influenced the subsistence of millions of employees. There is a real risk that without comprehensive and well-coordinated political actions, the increase in inequality and reduction of general progress in the labour sphere will be preserved in many dimensions. There's a need for the measures of international policy to provide develop-ing countries with access to vaccines and financial support, including through restructuring of debts. Originality/value: It is proved that after the creation of the UN, the nature of conflicts and violence underwent serious changes. Conflicts take fewer human lives but last longer, and the frequency of conflicts between groups within a country is higher than the frequency of international conflicts. In certain parts of the world, crimes on a gender basis are increasing in numbers. Besides, technologies allow using robots, drones, cyberattacks, viruses, and hackers for mili-tary purposes. At the same time, international cooperation is weak, similar to the global ability to prevent and regulate conflicts and all possible forms of violence. Technological progress changes the character of the development of conflicts. Achievements in the sphere of AI and machine learning will play an important role in this process of transformation, so the character of threats from the government and non-government subjects will change. The use of AI raises the precision of cyberattacks and physical and biological attacks, making the identification of attackers very difficult. © 2022 by Anastasia A. Sozinova, Natalia G. Vovchenko, Elena D. Kostoglodova and Stanislav A. Khapilin.

UML Design for Decision Support Model in Determining the Sustainability of Online Course Materials

The scenario of online learning is a very urgent need in the world of future knowledge. Since the Corona Virus Disease-19 pandemic, the world economy has started to plummet and caused many adults to lose their jobs. The advantage is the flexibility and rapid development of the internet. In 2020, the number of unemployed increased significantly. This reason makes people strive to improve their ability to meet job requirements by taking online courses. Online courses are a way that people can choose to improve their skills anywhere and anytime. The sustainability of online course material that is offered to the course user and issued by the company will be discussed in this study. The novelty of this research is to obtain a decision support model based on fuzzy logic for determining online courses. The method used is decision-making based on UML and fuzzy logic for the final decision. The fuzzy inference model process begins by determining the decision parameters then using fuzzification with absolute input then refracted with fuzzy criteria, and ends with defuzzification with absolute output. There are two groups of parameters in this study, company profits which consist of 5 parameters and user benefits, which consist of 9 parameters. Once the model is verified and valid, the final decision is useful for users looking for online course and also useful for the decision unit of online course companies in determining the sustainability of online course materials. © 2022 IEEE.

COVID-19 Pandemic: Assessment of Behavior and Attitudes in Medical Waste Management Among Healthcare Workers in Kuwait

The COVID-19 pandemic has been affecting world economies, business revenues, and the livelihood of many individuals, and has also resulted in accumulated medical waste. Countries, governments, and health workers are striving to contain this virus by applying different strategies and protocols. This research investigates and identifies the significant determinants that influence the acceptance and Adoption of non-hazardous medical waste recycling behaviour in Kuwait. This article questions whether healthcare workers in Kuwait are actually behaving differently regarding non-hazardous medical waste recycling during the pandemic as opposed to previously. The study uses a deductive research approach involving a quantitative methodology by applying the theory of planned behaviour as a framework. From an overall perspective, individuals have positive intentions and behaviours toward recycling. However, COVID-19 and the fear of spreading the virus had a positive impact on the healthcare workers' recycling behaviour in public hospitals in Kuwait. © 2022 IGI Global. All rights reserved.

Covid-19: Impact of the Lockdown on the Behavior and on Waste Management, Case Study Ajdir, Morocco

Since the containment measures placed in several countries to deal with Covid-19 pandemic, air and noise pollution has been significantly reduced, but what about soil pollution and greenhouse gas emissions from waste management? Covid-19 has given a break to the earth by immobilizing a very large part of the world economy, industrial activity, and transport and by having an important modification on the Moroccan consumer behaviour. This demographic evolution and change of consumption do not infect the resources, but are a source of degradation and pollution of the different environmental components. Among these sources, we find the production of household and similar waste. Our objective is to rate the impact of this pandemic on waste production, in Ajdir landfill, El Hoceima, which reflects the activity of the Moroccan citizen (between March 20 and April 27, 2020), and the initiatives that have been taken and launched to solve the problems at the level of each province through the establishment of a provincial master plan for the management of household and similar waste. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections

The world experienced the life-threatening COVID-19 disease worldwide since its inversion. The whole world experienced difficult moments during the COVID-19 period, whereby most individual lives were affected by the disease socially and economically. The disease caused millions of illnesses and hundreds of thousands of deaths worldwide. To fight and control the COVID-19 disease intensity, mathematical modeling was an essential tool used to determine the potentiality and seriousness of the disease. Due to the effects of the COVID-19 disease, scientists observed that vaccination was the main option to fight against the disease for the betterment of human lives and the world economy. Unvaccinated individuals are more stressed with the disease, hence their body's immune system are affected by the disease. In this study, the SVEIHR deterministic model of COVID-19 with six compartments was proposed and analyzed. Analytically, the next-generation matrix method was used to determine the basic reproduction number (R0). Detailed stability analysis of the no-disease equilibrium (E0) of the proposed model to observe the dynamics of the system was carried out and the results showed that E0 is stable if R0<1 and unstable when R0>1. The Bayesian Markov Chain Monte Carlo (MCMC) method for the parameter identifiability was discussed. Moreover, the sensitivity analysis of R0 showed that vaccination was an essential method to control the disease. With the presence of a vaccine in our SVEIHR model, the results showed that R0=0.208, which means COVID-19 is fading out of the community and hence minimizes the transmission. Moreover, in the absence of a vaccine in our model, R0=1.7214, which means the disease is in the community and spread very fast. The numerical simulations demonstrated the importance of the proposed model because the numerical results agree with the sensitivity results of the system. The numerical simulations also focused on preventing the disease to spread in the community. © 2022 The Authors

Business Intelligence Solution for Covid-19 Pandemic

The COVID-19 pandemic, first detected in December 2019, spread drastically globally within a short period. Such a pandemic has caused enormous loss of lives and health complications and adversely affected the world economies. Effective tracking of the spread of the disease around the globe and predicting when the next wave will occur has become critical in measures geared towards mitigating COVID-19. This paper explores different ways of utilizing analytics and business intelligence tools and solutions to understand the spread of COVID-19 around the globe and predict the number of new COVID-19 cases likely to be recorded. Microsoft Power BI is used to visualize COVID-19 data simply and intuitively in different ways for health decision-makers and concerned parties to easily understand the spread of COVID-19 through various visualizations and dashboards. We also utilize predictive analytics capabilities in Microsoft Power BI to predict the number of COVID-19 cases likely to be recorded in the next few months. The obtained results showed that COVID-19 cases increased over time, particularly in crowded countries. In addition, the results proved that the death rate is reducing with time even though the cases number is increasing. © 2022 IEEE.

The Digital Economy in the Context of Digital Transformation and Their Impact on the Electronification of Accounting Processes in the Slovak Republic

As a result of the explosive growth of scientific knowledge and the rapid development of ICT, the world economy is undergoing crucial global changes, which are the most significant since the industrial revolution. Digitization represents the most important element of the fourth industrial revolution, enabling the connection of technology and people. The digital economy is related to the rapid onset and penetration of information and communication technologies into all areas of human activity, which also requires new perspectives on the factors affecting the development and success of the economy. We digitize information and data, digitize the processes and systems that make up the functioning of the company, and digitally transform the company and its strategy. The main task of article is to determine the digital economy in the context of digital transformation and their impact on the electronification of accounting processes in the Slovak Republic. The article defines the progress and level of development of Europe's digital competitiveness in individual EU member states using the Digital Economy and Society Index (DESI). The position of Slovakia and the EU is compared for the period from 2018 to 2022. Slovakia needs to create conditions for the gradual digital transformation of all sectors of the economy. Digitization is also coming to the accounting. The article also describes how the approved amendment to the Act on Accounting as of January 1, 2022 creates space for streamlining the processing and archiving of accounting records. The current change in the amendment to the Act on Accounting thus offers completely new opportunities for working with corporate accounting in relation to internal processes in the company, but also in relation to financial administration or tax authorities. All entities, this also applies to agricultural entities keeping the double entry accounting, are obliged to follow the Act No. 431/2002 Coll. on Accounting as amended.

DAMPAK KRISIS EKONOMI GLOBAL TERHADAP KONDISI PEREKONOMIAN DI PROVINSI GORONTALO

Background: The national economic landscape in 2020 and 2021 has been significantly impacted by the Covid-19 outbreak. The national economy, which has yet to fully recover, was once more impacted by the Russia-Ukraine war in February 2022, which caused a slump in the world economy. Economic operators must adequately predict the prevalence of global economic uncertainty. Due to the weak global economy, conditions in Java Island's major cities' economies have started to significantly worsen. as one of the effects of the global community's falling purchasing power. The effects of the global financial crisis will extend from major cities to other locales with comparatively closed economies. The effects of the world economic crisis must also be fully considered. The impact of the global economic crisis also needs to be properly anticipated by the Regional Office of the Directorate General of Treasury in carrying out its role as Regional Chief Economist in the regions Gorontalo. Purpose: The purpose of this study was to ascertain how the global economic crisis affected the Gorontalo region's economy. Method: This study uses in-depth interviews and descriptive qualitative research with secondary data analysis. The sources are chosen at random. Methods, techniques, and processes used in research entail more data and information gleaned from informants. Selected informants are professionals in their industries who are skilled and knowledgeable. The three stages of data processing techniques are data reduction, data display, and conclusion-making. Results: The results of the study show that several indicators of the Gorontalo regional economy have been affected by the global economic crisis, including slowing economic growth, increasing inflation, welfare inequality above the national average, declining farmer exchange rates, increasing layoffs, investment not growing, and fiscal capacity Gorontalo region reached its lowest point in the last five years. Conclusion: the implication of this research is the need to continue to optimize the role of the government and Bank Indonesia through fiscal and monetary policies. Fiscal policy through APBN and APBD spending to increase people's purchasing power and support UMKM. Monetary policy to support monetary stability in the Gorontalo region. (English) [ FROM AUTHOR]

The Nexus between COVID-19 and Financial Market Indexes

The COVID-19 virus is posing a serious threat to the world economy. Global economic activity, international trade, and investment activity particularly investment in securities traded on local and international financial markets were all being paralyzed. The indicators of the financial markets plainly showed the effects of this pandemic. Because of this, this research investigates how Covid-19 and specific financial market indices relate to one another. It ended with a list of recommendations and conclusions. © 2022 ACM.