scholarly journals Freedom to Stay-at-Home? Countries Higher in Relational Mobility Showed Decreased Geographic Mobility at the Onset of the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Jason D. Freeman ◽  
Joanna Schug

In this paper, we examine whether relational mobility (RM) (the ability for individuals to voluntarily form and terminate relationships within a given social environment) on a country level related to individuals’ tendencies to restrict their movement following the onset of the global COVID-19 pandemic and following the issuance of stay-at-home orders in their country. We use data on geographic mobility, composed of records of geolocation information provided via mobile phones, to examine changes in geographic mobility at the onset of the COVID-19 pandemic. We show that individuals in countries with higher RM tended to decrease their geographic mobility more than those in countries with lower RM following the onset of the COVID-19 pandemic. Similar results were found for wealth gross domestic product (GDP), but were independent of RM. These results suggest that individuals in countries with higher RM were more responsive to calls to reduce geographic mobility.

Author(s):  
Tricia J. Johnson ◽  
Jaymie S. Youngquist ◽  
Andy N. Garman ◽  
Samuel Hohmann ◽  
Paola R. Cieslak

Purpose – This paper aims to evaluate the potential of 24 country-level measures for predicting the number of outbound international medical travelers into the USA, including health and healthcare system, economic, social and diplomatic and travel pattern factors. Medical travel is recognized as a growing global market and is an important subject of inquiry for US academic medical centers, hospitals and policy makers. Few data-driven studies exist to shed light on efficient and effective strategies for attracting international medical travelers. Design/methodology/approach – This was a retrospective, cross-sectional study of the 194 member and/or observer countries of the United Nations. Data for medical traveler volume into the USA between 2008 and 2010 were obtained from the USA Department of Commerce, Office of Travel and Tourism Industries, Survey of International Air Travelers. Data on country-level factors were collected from publicly available databases, including the United Nations, World Bank and World Health Organization. Linear regression models with a negative binomial distribution and log link function were fit to test the association between each independent variable and the number of inbound medical travelers to the USA. Findings – Seven of the 24 country-level factors were significantly associated with the number of outbound medical travelers to the USA These factors included imports as a per cent of gross domestic product, trade in services as a per cent of gross domestic product, per cent of population living in urban areas, life expectancy, childhood mortality, incidence of tuberculosis and prevalence of human immunodeficiency virus. Practical implications – Results of this model provide evidence for a data-driven approach to strategic outreach and business development for hospitals and policy makers for attracting international patients to the USA for medical care. Originality/value – The model developed in this paper can assist US hospitals in promoting their services to international patients as well as national efforts in identifying “high potential” medical travel markets. Other countries could also adapt this methodology for targeting the international patient market.


2020 ◽  
Vol 1 (7) ◽  
pp. 65-76
Author(s):  
E. V. SOKOLOV ◽  
◽  
E. V. KOSTYRIN ◽  

The article defines the costs and losses of the state and working citizens of Russia to combat the new COVID- 19 coronavirus infection in the treatment of COVID-19 patients at home, inpatient treatment without the use of artificial ventilation, and inpatient treatment if artificial ventilation is necessary. A marketing research of prices for the COVID-19 test in Moscow was carried out. Gross domestic product (GDP) losses by differ industry branches from the forced downtime caused by the fight against the spread of the new COVID-19 coronavirus infection are calculated, which amounted to 5117,2 billion rubles. The daily losses of GDP in the amount of 83,9 billion rubles, the Federal budget in the amount of 15,5 billion rubles and wages of employees, equal to 39,2 billion rubles. The necessity of returning to normal life of citizens and enterprises of Russia is proved.


Author(s):  
Giuseppe La Torre ◽  
Cristina Sestili ◽  
Rosario Cocchiara ◽  
Sara Cianfanelli ◽  
Lorenza Lia ◽  
...  

Background: The aim of this study is to analyse the correlation between regional values of Gross Domestic Product (GDP) and passive smoking in Italy. Methods: The outcome measures were smoking ban respect in public places, workplaces and at home, derived from the PASSI surveillance for the period 2011–2017. The explanatory variable was GDP per capita. The statistical analysis was carried out using bivariate and linear regression analyses, taking into consideration two different periods, Years 2011–2014 and 2014–2017. Results: GDP is showed to be positively correlated with smoking ban respect in public places (r = 0.779 p < 0.001; r = 0.723 p < 0.001 in the two periods, respectively), as well as smoking ban respect in the workplace (r = 0.662 p = 0.001; r = 0.603 p = 0.004) and no smoking at home adherence (r = 0.424 p = 0.056; r = 0.362 p = 0.107). In multiple linear regression GDP is significantly associated to smoking ban respect in public places (adjusted β = 0.730 p < 0.001; β = 0.698 p < 0.001 in the two periods, respectively), smoking ban in workplaces (adjusted β = 0.525 p = 0.020; β = 0.570 p = 0.009) and no smoking at home (adjusted β = 0.332 p = 0.070; β = 0.362 p = 0.052). Conclusions: Smoking ban is more respected in Regions with higher GDP. For a better health promotion, systematic vigilance and sanctions should be maintained and strengthened, particularly in regions with low compliance with smoking bans.


Author(s):  
Agnė JOTAUTAITĖ ◽  
Eglė JOTAUTIENĖ

In this paper, export opportunities of textile products from Turkey to Lithuania are analyzed. The main goal of this article is to present an analysis of the opportunities to import textile products from Turkey to Lithuania. The empirical research basing on the statistical database analysis was used. The analysis of Turkey’s markets was showed that the economy is strongly dependent on exports of various products from Turkey and it is about one forth of Turkey’s GDP (Gross Domestic Product). The bulk of exports from Turkey is t o countries in the European Union. Turkey is one of the world’s largest manufacturers and exporters of textiles. The analysis of Lithuanian markets was indicated that Lithuania has a feasible market for imports due to its fast growing GDP, increasing labor wages and modernization of agriculture industry. Furthermore, advantageous and adequate policies of Lithuania’s foreign trade should encourage the development of imports to this country. The demand for textile products in Lithuania is growing rapidly and it is one of the most important sectors in fostering its economy


2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.


2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.


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