scholarly journals The Age Structure, Stringency Policy, Income, and Spread of Coronavirus Disease 2019: Evidence From 209 Countries

2021 ◽  
Vol 11 ◽  
Author(s):  
Faik Bilgili ◽  
Munis Dundar ◽  
Sevda Kuşkaya ◽  
Daniel Balsalobre Lorente ◽  
Fatma Ünlü ◽  
...  
Keyword(s):  
Age Structure ◽  
Generalized Linear Model ◽  
Regression Models ◽  
Health Policies ◽  
Policy Responses ◽  
Moments Method ◽  
Hospital Beds ◽  
Per Capita ◽  
The Impact ◽  
Generalized Moments

This article aims at answering the following questions: (1) What is the influence of age structure on the spread of coronavirus disease 2019 (COVID-19)? (2) What can be the impact of stringency policy (policy responses to the coronavirus pandemic) on the spread of COVID-19? (3) What might be the quantitative effect of development levelincome and number of hospital beds on the number of deaths due to the COVID-19 epidemic? By employing the methodologies of generalized linear model, generalized moments method, and quantile regression models, this article reveals that the shares of median age, age 65, and age 70 and older population have significant positive impacts on the spread of COVID-19 and that the share of age 70 and older people in the population has a relatively greater influence on the spread of the pandemic. The second output of this research is the significant impact of stringency policy on diminishing COVID-19 total cases. The third finding of this paper reveals that the number of hospital beds appears to be vital in reducing the total number of COVID-19 deaths, while GDP per capita does not affect much the level of deaths of the COVID-19 pandemic. Finally, this article suggests some governmental health policies to control and decrease the spread of COVID-19.

scholarly journals An Application of Generalized Moments Method to Examine the Management Behavior during Peak Season A Study in Islamic Micro Finance Industry

2018 ◽  
Vol 218 ◽  
pp. 04025
Author(s):  
Yayat Nurhidayat
Keyword(s):  
Credit Risk ◽  
Financial Institution ◽  
Liquidity Risk ◽  
Positive Influence ◽  
Management Behavior ◽  
Finance Industry ◽  
Moments Method ◽  
The Impact ◽  
Generalized Moments ◽  
The Relationship

In the current highly competitive finance industry, it is important that any financial institution to develop a proper strategy to compete in the market. More specifically, the finance managers need to have an appropriate liquidity and stability strategy during the peak season where their customers have a high demand of cash. Finding such a strategy is challenging for micro finance institution due to their limited resources, in terms of finance and human resources. This study is aimed to (1) analyze the impact of liquidity risk to the stability of micro finance institutions and to (2) assess the relationship between liquidity risk and credit risk in the period of peak season by using Generalized Moments Method. The focus of this study is Islamic micro finance institutions in West Java for the period 2012-2017. Using monthly data, this study reveals that the risk of liquidity has a negative effect on the level of stability of micro finance institutions at peak season and has a positive influence on the level of stability at off peak season. Further, the study finds that the relationship between liquidity risk and credit risk is significant during the period of peak season and off peak season period. Therefore, it can be concluded that in general credit risk impacts on liquidity risk. The findings of this study provide significant contributions in terms of enlarging our understanding on the management behavior related to institution liquidity and stability during the peak and non-peak season. From managerial perspective, this study helps the Islamic micro finance institution to remain stable and competitive during the peak season.

scholarly journals Does the Export of Agricultural Products Lead to Economic Growth in Cameroon?

2020 ◽  
Vol 16 (4) ◽  
pp. 139
Author(s):  
Younchawou NGOUWOUO ◽  
Zenabou TOURERE ◽  
Samuel Honoré NTAVOUA
Keyword(s):  
Economic Growth ◽  
Agricultural Products ◽  
Easy Access ◽  
Agricultural Exports ◽  
Research Activities ◽  
Moments Method ◽  
The Government ◽  
The Stability ◽  
The Impact ◽  
Generalized Moments

The purpose of this article is to analyze the impact of agricultural exports such as coffee, cotton and cocoa on economic growth in Cameroon. The main results obtained by the Generalized Moments Method show that the impact of cocoa and coffee exports is negative and that of cotton on economic growth is positive. The export of cocoa, the exchange rate and the stability of agricultural exports are respectively significant. To this end, farmers should be encouraged to form more cooperatives in order to have easy access to finance which permit to increase their production, the government should fund research activities to improve the quality of agricultural products sold abroad in order to be more competitive and finally to promote the strategy of diversification of export products.

scholarly journals FOREIGN DIRECT INVESTMENT IN INDIA-AN INVINCIBLE WAY FOR ECONOMIC DEVELOPMENT

2021 ◽  
pp. 269-271
Author(s):  
CMA Sandip Basak ◽  
Rohan Prasad Gupta ◽  
Priyajit Kumar Ghosh
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Regression Models ◽  
Research Work ◽  
Vital Role ◽  
Simple Linear Regression ◽  
Linear Regression Models ◽  
Fdi Inflows ◽  
Per Capita ◽  
The Impact

Foreign direct investment plays a vital role in the development of a nation. The present research work aims to analyse the impact of FDI inflows on annual GDP and per capita GDP, that is, to understand the impact of FDI on Indian economy since the implication of LPG policy in India. Simple linear regression models has been used for analysis purpose and based on the results, suitable implications has been drawn.

scholarly journals The Hydrothermal Vent Field at the Eastern Edge of the Hellenic Volcanic Arc: The Avyssos Caldera (Nisyros)

Geosciences ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 290
Author(s):  
Ana Dura ◽  
Theo J. Mertzimekis ◽  
Paraskevi Nomikou ◽  
Andreas Gondikas ◽  
Martín Manuel Gómez Míguez ◽  
...  
Keyword(s):  
Time Series ◽  
Volcanic Activity ◽  
Hydrothermal Vent ◽  
Natural Hazard ◽  
Risk Mitigation ◽  
Aegean Sea ◽  
Submarine Volcano ◽  
Moments Method ◽  
The Impact ◽  
Generalized Moments

Almost three-quarters of known volcanic activity on Earth occurs in underwater locations. The presence of active hydrothermal vent fields in such environments is a potential natural hazard for the environment, society, and economy. Despite its importance for risk assessment and risk mitigation, the monitoring of volcanic activity is impeded by the remoteness and the extreme conditions of many underwater volcanoes. The morphology and the activity of the submarine caldera, Avyssos, at the northern part of Nisyros volcano in the South Aegean Sea (Greece), were studied using a remotely operated underwater vehicle. The recorded time series of temperature and conductivity over the submarine volcano have been analyzed in terms of the Generalized Moments Method. This type of analysis can be used as an indicator for the state of activity of a submarine volcano. Here, we expand the work conducted for the first time in 2018. We present the findings of the geological exploration and the mathematical analysis, obtained from the data collected in October 2010. The temperature and conductivity time series show minor fluctuations in a rather stable environment. Based on these results, the impact of developing appropriate mechanisms and policies to avoid the associated natural hazard is expected to be important.

scholarly journals The Occurrence of Conflicts and the Social Divide Do They Affect the Economic Growth of Sub-Saharan African Fragile Countries?

2021 ◽  
Vol 7 (05) ◽  
Author(s):  
YAMBEN Michel Freddy Harry
Keyword(s):  
Economic Growth ◽  
Poor Performance ◽  
Dynamic Panel Data ◽  
Sub Saharan Africa ◽  
The Social ◽  
Moments Method ◽  
Sub Saharan ◽  
Social Divide ◽  
The Impact ◽  
Generalized Moments

The article is an empirical analysis of the relationship between social divide, the occurrence of conflict and economic growth. By examining the impact of the social divide and conflict on the economic growth of six countries in sub-Saharan Africa as well as the effects of predicted variables conflict and economic growth on the social divide, we use ARDL models from the econometric perspective to study the link between conflicts and growth then the Generalized Moments Method (GMM) to solve the endogeneity problem of our main variables and, this from dynamic panel data relating to the period 1980- 2008. The results reveal that conflict destroys economic growth and conversely, economic growth creates new social divides that increase the opportunity for conflict and depress activity. The intensity of the conflicts in these countries seems to be able to project fragile economies more quickly on trajectories which lead them less towards their level of long-term equilibrium growth. Indeed, conflict assessment should be a central concern of development economists for the sake of economic recovery. Finally, the poor performance in terms of growth cannot be blamed on the conflicts whose exacerbation is the cause, but must lead decision-makers to reflect on the structural causes.

Health policy impacts on malaria transmission in Costa Rica

Parasitology ◽  
2020 ◽  
Vol 147 (9) ◽  
pp. 999-1007 ◽  
Author(s):  
Luis Fernando Chaves ◽  
Melissa Ramírez Rojas ◽  
Monica Prado ◽  
José Luis Garcés ◽  
Daniel Salas Peraza ◽  
...  
Keyword(s):  
Health Policy ◽  
Costa Rica ◽  
Malaria Transmission ◽  
Malaria Case ◽  
Regression Models ◽  
Living Standards ◽  
Health Policies ◽  
Natural Catastrophes ◽  
Policy Impacts ◽  
The Impact

AbstractCosta Rica is near malaria elimination. This achievement has followed shifts in malaria health policy. Here, we evaluate the impacts that different health policies have had on malaria transmission in Costa Rica from 1913 to 2018. We identified regime shifts and used regression models to measure the impact of different health policies on malaria transmission in Costa Rica using annual case records. We found that vector control and prophylactic treatments were associated with a 50% malaria case reduction in 1929–1931 compared with 1913–1928. DDT introduction in 1946 was associated with an increase in annual malaria case reduction from 7.6% (1942–1946) to 26.4% (1947–1952). The 2006 introduction of 7-day supervised chloroquine and primaquine treatments was the most effective health policy between 1957 and 2018, reducing annual malaria cases by 98% (2009–2018) when compared with 1957–1968. We also found that effective malaria reduction policies have been sensitive to natural catastrophes and extreme climatic events, both of which have increased malaria transmission in Costa Rica. Currently, outbreaks follow malaria importation into vulnerable areas of Costa Rica. This highlights the need to timely diagnose and treat malaria, while improving living standards, in the affected areas.

scholarly journals Modeling the assessment of the connection of migration and economic development: Case of Azerbaijan

2021 ◽  
Vol 8 (1) ◽  
pp. 110-120
Author(s):  
Bayramov V. Shahin ◽  
Muradov S. Rashad ◽  
Efendiyev J. Rufat ◽  
Hajiyeva A. Leyla ◽  
Aliyev S. Elnur
Keyword(s):  
Economic Development ◽  
Regression Models ◽  
Mutual Influence ◽  
Linear Optimization ◽  
Migration Policy ◽  
Gdp Per Capita ◽  
Development Indicators ◽  
Modern Economic ◽  
Per Capita ◽  
The Impact

The article's purpose was to model the assessment of the associated impact of migration and economic of Azerbaijan. The indicators of the correlation between the intensity of migration and economic growth have been substantiated. Using the Granger test, the cause-and-effect relationships of migration and the country's economic development were determined. Based on the identified relationships, a polymodal complex has been built, consisting of regression models, which reflect the nature of the mutual influence between socio-economic development indicators and the intensity of migration in Azerbaijan. The hands' number of immigrants and emigrants in Azerbaijan for 2024 has been predicted considering the impact of the COVID-19 pandemic. The optimal ratio between the number of immigrants and emigrants was determined by linear optimization, ensuring GDP per capita in Azerbaijan at the level of modern economic development. The results obtained can serve as a basis for the development of a compelling state migration policy.

Globalisation and Patents: A Study of Patents filed by India

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
K. V. Bhanu Murthy ◽  
Tausheef Alam
Keyword(s):  
Regression Models ◽  
Gdp Per Capita ◽  
Significant Determinant ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
The Impact ◽  
Patent Filing

This paper studies the impact of globalisation on Indian patents. An attempt is made to analyse the impact of globalisation on patent filings by Indian citizens from 1993 to 2011. Using semi-log and double-log regression models, we study the impact of FDI, GDP and R&D expenditure on patent filings by Indians. Our results show that real GDP per capita is a significant determinant of FDI; an increase in GDP per capita by 1% leads to an increase in patents filed by 0.72%. FDI is not a significant determinant of patents filed, implying that the notion that globalisation leads to increase in patent filing does not hold good in the Indian case.

scholarly journals The Impact and Implications of COVID-19: An Australian Perspective

2020 ◽  
Vol 2 (2) ◽  
pp. 134-151 ◽  
Author(s):  
Dominic O’Sullivan ◽  
Mubarak Rahamathulla ◽  
Manohar Pawar
Keyword(s):  
Policy Development ◽  
Political Stability ◽  
Vulnerable Groups ◽  
Geographic Isolation ◽  
Policy Responses ◽  
Explanatory Factors ◽  
National Wealth ◽  
Per Capita ◽  
Social Recovery ◽  
The Impact

This article describes and discusses the spread of the coronavirus pandemic in Australia, its impact on people and the economy and policy responses to these impacts. It discusses the implications of these responses for post-pandemic recovery, though noting that the country’s response to the coronavirus disease 2019 (COVID-19) pandemic has, thus far, been among the most successful in the world. Australia’s early physical distancing measures, relatively high per capita testing rates, political stability, national wealth and geographic isolation are among the explanatory factors. This article summarises Australia’s socio-economic responses to the pandemic and shows what this means, especially, for vulnerable groups, and thereby for social inequality, which the pandemic has aggravated and which may become more apparent, still, as debates about paths to economic and social recovery are in some respects already polarising. Although it is relatively early to clearly identify lessons learnt from these responses, it is safe to conclude that further policy development needs to be carefully focused to avoid exacerbating existing inequalities.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.

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