Clustering Countries in the Context of the Pandemic and Underlying Conditions

2022 ◽  
Vol 40 (1) ◽  
Author(s):  
Grace Carolina Guevara-Rosero

The COVID-19 pandemic has revealed the state of underlying conditions of countries in terms of health system, sanitary infrastructure, governance, among others. This study aims to classify countries using COVID-19-related variables such as the lethality rate, the contagion growth rate, the stringency index, and underlying conditions of countries directly related to COVID-19 such as access to clean water, hospital beds per 10000 inhabitants, government effectiveness index, population older than 65 years old and economic growth rate. To determine the clusters of a set of countries from all continents (29 from Africa, 35 from Asia, 35 from Europe, 11 from North America, 2 from Oceania and 8 from South America), the k-means partitioning method is used. This approach consists in constructing partitions and evaluate their intra-class and inter-class similarity. Based on the results, three clusters are identified: i. Severely affected countries with high stringency and moderate capacity, ii. Moderately affected countries with moderate stringency and high capacity and iii. Severely affected countries with low stringency but low capacity.

2021 ◽  
Vol 10 (1) ◽  
pp. 149-158
Author(s):  
Meylita Sari ◽  
Purhadi Purhadi

Ordinal logistic regression is one of the statistical methods to analyze response variables (dependents) that have an ordinal scale consisting of three or more categories. Predictor variables (independent) that can be included in the model are category or continuous data consisting of two or more  variables. Human Development Index (HDI) is an indicator of the success of human development in a region and can be categorized into medium, high and very high. Based on the further categorization, in this study would like to know more about the HDI model using the Ordinal Logistic Regression method, with predictor variables that are suspected to affect, so that it is obtained in West Java Province is influenced by variable poverty rates and clean water sources with a classification accuracy value of 77.78%, Central Java Province is influenced by variable economic growth rate based on constant price GDP, poverty rate and open unemployment rate with a classification accuracy value of 82.85%. East Java province is influenced by variable poverty rate and open unemployment rate with a classification accuracy value of 76.31%. As well as in the three provinces in Java Island is influenced by variable economic growth rate, variable poverty rate, variable clean water source with a classification accuracy value of 73%. Keywords : Ordinal Logistic Regression, HDI, Classification Accuracy


2008 ◽  
Vol 63 (4) ◽  
pp. 547-550 ◽  
Author(s):  
Boris Podobnik ◽  
Jia Shao ◽  
Djuro Njavro ◽  
Plamen Ch. Ivanov ◽  
H. E. Stanley

Author(s):  
Ly Dai Hung

The paper investigates the dependence pattern of economic growth on external debt supply by accounting for the safety of debts, measured by the sovereign debt rating. The method of cross-section regression is based on a sample of 145 advanced and developing economies with averaged data over the 1990–2019 period. The pattern of economic growth follows a U-shaped curve, for which the growth rate is first decreasing and then increasing on the external debt supply. A possible explanation can rely on the sovereign debt rating. For low supply of external debts, more supply of debts reduces the debt rating, which, in turn, lowers the economic growth rate. But for high enough supply of debts, more debts raise their rating, improving the growth rate. These results are robust on controlling for various determinants of economic growth and on the fixed effect panel regression.


Author(s):  
A. N. Ryahovskaya

As a result of the global financial and economic crisis, social problems have sharpened significantly. They affect the interest of the most population of the country. The efficiency of anti-recessionary measures and their productivity in the social field are analyzed in the article. According to the adjusted estimates of the RF Government, decrease in actual income of the people will continue and only by the end of 2012 a growth by only 3% to 2008 level is projected. The degree of elaboration and scientific justification of the state turnaround policy are getting special significance.


2021 ◽  
Vol 95 ◽  
pp. 01007
Author(s):  
Daniela – Lavinia Balasan ◽  
Dragoş Horia Buhociu

When we talk about economic development, we can refer to improve the standard of living and the prosperity of the population. This is due by increasing per capita income. In order to analyze economic activity, severe indicators must be studied, namely productivity, economic growth rate, labour force share, gross domestic product. In order to carry out as accurate an analysis as possible, it is required to discover the bottlenecks and problems that Region 2 South East makes and to develop a set of reservations and indications leading to the reduction and, why not, the removal of negative aspects. The main purpose of this work is to achieve a strategic plan by studying the current state and the impact of the economic system in recent times in all its forms, with a view to the development of the countryside of Region 2 South – East. I set out to create a website based on the advice of small rural entrepreneurs that evolves gathering information in realistically identifying all the strengths and concentrating them in the region’s potential innovation.


2021 ◽  
Vol 10 (3) ◽  
pp. 169-176
Author(s):  
Mohammed Ali Al-Rimawi ◽  
Thair Adnan Kaddumi

How is stock market price volatility affected, and what is the nature of the impact that macroeconomic variables do on the stock market price direction? The main objective of this study is to investigate the impact of some selected macroeconomic variables (inflation rate (INR), interest rate (IR), economic growth rate (EGR), and foreign investment (FI)) on Amman Stock Exchange (ASE) fluctuation for the period 1999–2018. The information is based on the annual data published by industrial companies listed at ASE. The study adopted a descriptive-analytical approach, also simple and multiple linear regression analysis was employed for the mentioned purpose (Nurfadilah & Samidi, 2017). The results revealed that there is no statistically significant impact of INR, IR, EGR, and FI collectively on ASE performance (Niewińska, 2020). Individually, the results indicated that there is a statistically significant impact of all variables (INR, IR, EGR, and FI) on ASE performance. Additionally, the results concluded that foreign investment, portrayed the highest impact factor on ASE performance, followed by a change in average interest rate, then inflation rate, and the least impact attributes to the economic growth rate. Finally, the research recommends that Jordanian banks should reduce the lending interest rate to enhance investment in securities and improve economic growth rate, also Jordanian authorities should encourage foreign direct and indirect investment and make more efforts to attract more foreign investment, either in the form of tax incentives or by extending finance at low-interest rates.


2014 ◽  
Vol 5 (4) ◽  
pp. 44-58
Author(s):  
Bin Pan ◽  
Shih-Yung Wei ◽  
Xuanhua Xu ◽  
Wei-Chiang Hong

By considering the demand and supply effects of defense investment and the uncertainty of the stochastic process of the production and defense investment, this study proposes a stochastic endogenous growth model to explore the impact of defense investment on economic growth. The results suggest that the relationship between defense investment and economic growth rate is nonlinear and obtains the optimal percentage of defense investment to maximize economic growth. Moreover, the impact of defense investment volatility on economic growth rate is subject to production and defense investment interference term's covariance and representative private investment risk preference. Finally, the empirical data are used to illustrate the applicability of the proposed model.


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