scholarly journals Economic and Financial Consequences of Pandemics

2021 ◽  
Vol 12 (3) ◽  
pp. 1
Author(s):  
Vahid Gholampour
Keyword(s):  
Government Expenditure ◽  
Economic Consequences ◽  
Financial Assets ◽  
Financial Indicators ◽  
Medium Term ◽  
Real Gdp ◽  
Monetary Authorities ◽  
Financial Consequences ◽  
Real Returns

This paper studies the medium-term economic consequences of major pandemics since 1870. The paper compares the average path of economic and financial indicators after a pandemic with their long-term path. According to data, inflation is low over the decade that follows the end of a major pandemic. Investments drive the rebound in real GDP. Financial assets provide above-average real returns. Credit markets experience a boom while fiscal and monetary authorities cutback government expenditure and money supply after pandemics.

scholarly journals Clinical and economic strategies in outpatient medical care during the COVID-19 pandemic

2020 ◽  
Vol 45 (8) ◽  
pp. 579-585 ◽  
Author(s):  
David Anthony Provenzano ◽  
B Todd Sitzman ◽  
Samuel Ambrose Florentino ◽  
Glenn A Buterbaugh
Keyword(s):  
Medical Care ◽  
Clinical Care ◽  
Economic Consequences ◽  
Financial Indicators ◽  
Medical Practices ◽  
Strategic Plans ◽  
Economic Strategies ◽  
The Us ◽  
Insight Into

The COVID-19 pandemic has resulted in significant clinical and economic consequences for medical practices of all specialties across the nation. Although the clinical implications are of the utmost importance, the economic consequences have also been serious and resulted in substantial damage to the US healthcare system, including pain practices. Outpatient pain practices have had to significantly change their clinical care pathways, including the incorporation of telemedicine. Elective medical and interventional care has been postponed. For the most part, ambulatory surgical centers have had to cease operations. As patient volumes have decreased for non-emergent elective care, the financial indicators have deteriorated. This review article will provide insight into solutions to mitigate the clinical and economic challenges induced by COVID-19. Undoubtedly, the COVID-19 pandemic will have short-term and long-term implications for all medical practices and facilities. In order to survive, medical practices will need dynamic, operational, and creative strategic plans to mitigate the disruption in medical care and pathways for successful reintegration of clinical and surgical practice.

Coronavirus pandemic and trends of economic policy

2021 ◽  
pp. 5-30
Author(s):  
V. A. Mau
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Government Regulation ◽  
Economic Consequences ◽  
Medium Term ◽  
Short Term ◽  
Current Crisis ◽  
Monetary Policies ◽  
Long Term Trends

The paper deals with social and economic consequences of COVID-19 in the context of long-term trends of economic development. The current crisis is compared with economic and war cataclysms of 20th—21st centuries. Special attention is paid to types of anti-crisis policies as well as to relations between anti-crisis (short-term) and modernization (medium-term) challenges. The paper discusses the influence of pandemic on budget and monetary policies, trends of globalization, and new approaches to government regulation of economic development.

Sahel floods will compound regional fragility

2020 ◽  
Keyword(s):  
Time Horizon ◽  
Economic Consequences ◽  
Medium Term ◽  
Content Type ◽  
Resource Poor

Significance Affected communities face long-term economic consequences, and their governments -- already resource-poor, and with budgets stretched thin by insecurity, corruption and COVID-19 -- are not in a position to help much. Impacts Recurrent crises in the Sahel may dent governments’ overall capacities to think and act on a medium-term time horizon. Given that several capitals are heavily affected, authorities may struggle to find and distribute resources for more remote affected zones. Appeals for funding will fall shorter than average, given the lack of bandwidth from donors because of COVID-19.

Saudi Arabia can sustain high spending in medium term

2015 ◽  
Keyword(s):  
Saudi Arabia ◽  
Foreign Aid ◽  
Government Expenditure ◽  
Shale Oil ◽  
Medium Term ◽  
Content Type ◽  
Financial Position ◽  
Ministry Of Finance ◽  
Main Factors

Significance The 2015 budget statement from the Ministry of Finance provides a glimpse into the government's fiscal policy response to the fall. Saudi Arabia opted not to try to stem the slide by cutting its own oil production on the grounds that this would only benefit less efficient producers, such as US shale oil operators, whose hugely increased output in recent years has been one of the main factors in creating a market glut. However, if low prices persist, the kingdom risks running deficits on its fiscal and external accounts. Impacts The deficit will be financed by drawing down reserves and issuing new government debt, mainly to Saudi banks. The kingdom is likely to trim its oil output eventually if prices continue to sink. Spending on politically sensitive areas, such as public sector wages and subsidies, will be protected. However, in the long term, the kingdom may need to reduce spending in these areas to maintain its strong financial position. Saudi Arabia may reduce some of its foreign aid payments to limit overall government expenditure.

scholarly journals Does Child Marriage Matter for Growth?

2020 ◽  
Vol 20 (27) ◽  
Author(s):  
Pritha Mitra ◽  
Eric M. Pondi Endengle ◽  
Malika Pant ◽  
Luiz Almeida
Keyword(s):  
Economic Growth ◽  
Economic Consequences ◽  
Child Marriage ◽  
Education Policies ◽  
Economic Implications ◽  
Real Gdp ◽  
Emerging And Developing Countries ◽  
The Relationship ◽  
Development Perspective

Global attention to ending child marriage and its socio-economic consequences is gaining momentum. Ending child marriage is not only critical from a development perspective but it also has important economic implications. This paper is the first to quantify the relationship between child marriage and economic growth. Applying a simultaneous equations model, the analysis shows that eliminating child marriage would significantly improve economic growth—if child marriage were ended today, long-term annual per capita real GDP growth in emerging and developing countries would increase by 1.05 percentage points. The results also provide insights on policy prioritization in developing comprehensive strategies to end child marriage. For example, the strong interdependent relationship between education and child marriage suggests that education policies and the budgets that support them should place greater emphasis on reducing child marriage.

Sanctions of the USA and the Policy of Bank of Russia:double Blow to the National Economy

2014 ◽  
pp. 13-29 ◽  
Author(s):  
S. Glazyev
Keyword(s):  
National Security ◽  
Economic Sanctions ◽  
Capital Flight ◽  
Practical Advice ◽  
The Us ◽  
Monetary Authorities ◽  
The Usa ◽  
Simultaneous Adoption ◽  
The Eu

This article examines fundamental questions of monetary policy in the context of challenges to the national security of Russia in connection with the imposition of economic sanctions by the US and the EU. It is proved that the policy of the Russian monetary authorities, particularly the Central Bank, artificially limiting the money supply in the domestic market and pandering to the export of capital, compounds the effects of economic sanctions and plunges the economy into depression. The article presents practical advice on the transition from external to domestic sources of long-term credit with the simultaneous adoption of measures to prevent capital flight.

Aspects of the Evolution of the Romanian Tourists’ Preferences Concerning the Domestic Tourist Destinations

2019 ◽  
Vol 10 (1) ◽  
pp. 21-28
Author(s):  
Aniela Bălăcescu ◽  
Radu Șerban Zaharia
Keyword(s):  
Logistic Model ◽  
Local Level ◽  
Medium Term ◽  
Tourist Destinations ◽  
Tourism Management ◽  
Production And Consumption ◽  
On Line ◽  
The One ◽  
Long Term Studies

Abstract Tourist services represent a category of services in which the inseparability of production and consumption, the inability to be storable, the immateriality, and last but not least non-durability, induces in tourism management a number of peculiarities and difficulties. Under these circumstances the development of medium-term strategies involves long-term studies regarding on the one hand the developments and characteristics of the demand, and on the other hand the tourist potential analysis at regional and local level. Although in the past 20 years there has been tremendous growth of on-line booking made by household users, the tour operators agencies as well as those with sales activity continue to offer the specific services for a large number of tourists, that number, in the case of domestic tourism, increased by 1.6 times in case of the tour operators and by 4.44 times in case of the agencies with sales activity. At the same time, there have been changes in the preferences of tourists regarding their holiday destinations in Romania. Started on these considerations, paper based on a logistic model, examines the evolution of the probabilities and scores corresponding to the way the Romanian tourists spend their holidays on the types of tourism agencies, actions and tourist areas in Romania.

Analyzing reasons for projected long-term growth of real GDP of Russia

2019 ◽  
Vol 25 (11) ◽  
pp. 2575-2593
Author(s):  
V.V. Smirnov ◽  
◽  
A.V. Mulendeeva ◽  
D.G. Osipov ◽  
A.A. Babaeva ◽  
...  
Keyword(s):  
Real Gdp

scholarly journals Impact of the COVID-19 pandemic: a perspective from industry

2020 ◽  
Vol 22 (Supplement_P) ◽  
pp. P56-P59
Author(s):  
Nick E J West ◽  
Wai-Fung Cheong ◽  
Els Boone ◽  
Neil E Moat
Keyword(s):  
Care Delivery ◽  
Models Of Care ◽  
Medium Term ◽  
Change Models ◽  
New Device ◽  
Supply Chain Logistics ◽  
Cardiovascular Patients ◽  
Medical Crisis ◽  
Device Industry

Abstract The global COVID-19 pandemic has led to unprecedented change throughout society.1 As the articles in this supplement outline, all segments of the broader cardiovascular community have been forced to adapt, to change models of care delivery, and to evolve and innovate in order to deliver optimal management for cardiovascular patients. The medtech/device industry has not been exempt from such change and has been forced to navigate direct and indirect COVID-associated disruption, with effects felt from supply chain logistics to the entire product lifecycle, from the running of clinical trials to new device approvals and managing training, proctoring and congresses in an increasingly-online world. This sea-change in circumstances itself has enforced the industry, in effect, to disrupt its own processes, models and activities. Whilst some of these changes may be temporary, many will endure for some time and some will doubtless become permanent; one thing is for sure: the healthcare ecosystem, including the medical device industry, will never look quite the same again. Although the pandemic has brought a short- to medium-term medical crisis to many countries, its role as a powerful disruptor cannot be underestimated, and may indeed prove to be a force for long-term good, given the accelerated innovation and rapid adaptation that it has cultivated.

scholarly journals Long-Term Data Traffic Forecasting for Network Dimensioning in LTE with Short Time Series

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1151
Author(s):  
Carolina Gijón ◽  
Matías Toril ◽  
Salvador Luna-Ramírez ◽  
María Luisa Marí-Altozano ◽  
José María Ruiz-Avilés
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Time Series Analysis ◽  
Data Traffic ◽  
Medium Term ◽  
Short Term ◽  
Traffic Forecasting ◽  
Series Analysis ◽  
Radio Planning

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.

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