scholarly journals The Development of Economic and Social Indicators in V4 Countries

2021 ◽  
Vol 18 (2) ◽  
pp. 47-68
Author(s):  
Pavol Schwarcz ◽  
Marián Kováčik ◽  
Maroš Valach
2012 ◽  
Vol 524-527 ◽  
pp. 3107-3111
Author(s):  
Zhong An Jiang ◽  
Lan Jiang

In order to explore the effect of macroeconomic policies on mine safety, selecting data of 36 economic and social indicators and occupational safety indicators in mining industry in recent 15 years. Then, based on the analysis of the traditional growth rate, processing dimensionless and benchmark correlation of data, the Average weights rank of economic and social indicators relative to the mining safety could finally be got. The advantage of gradient analysis is dropping the dimension interference of data, and using three progressive connective gradients to get the relationship between occupational safety indexes and economic and social indicators. Results of the analysis were also provided some references for the improvement of macroeconomic policy.


Author(s):  
Jolanta Bojarszczuk ◽  
Jerzy Księżak ◽  
Beata Feledyn-Szewczyk

The paper presents the assessment of the degree of sustainability of agricultural production using the ecological, economic and social indicators included in the RISE model in selected four dairy farms. The research was conducted in the Lubelskie and Podlaskie provinces. The analysis shows that none of the analyzed farms can be considered sustainable under the adopted methodology because they did not have positive values for all 12 indicators characterizing the different aspects of sustainability. Farms in the Lubelskie province and one farm in the Podlaskie province was engaged in intensive agricultural production, using high fertilization fertilizers, which caused problems with the fertilizer economy, and the “N and P” emission potential was high. At the same time, these farms showed little respect for biodiversity but achieved good economic results. Farms in Lubelskie voivodeship, in spite of problems have better managed the fertilizer economy than farms in Podlaskie voivodeship. In the selected farms, the biggest problem was the achievement of a positive biodiversity value, which resulted from the use of intensive production technologies.


2007 ◽  
Vol 5 (SI) ◽  
pp. 40-49 ◽  
Author(s):  
Bruce Behringer ◽  
Gilbert H. Friedell ◽  
Kelly A. Dorgan ◽  
Sadie P. Hutson ◽  
Charley Naney ◽  
...  

The Appalachian region of the United States has long been recognized for its poor economic and social indicators. Only during the past decade have multi-state data become more accessible to describe the regions’ poor health status and resulting outcomes. A recent community-based participatory study engaged rural Appalachians to describe “what makes Appalachia different?” from other geographic areas and cultural groups in the United States and identify those characteristics that influence the region’s health. This article summarizes the community interpretation of these findings.


Author(s):  
Marina Popa ◽  
Maia Pisaniuc

The objective of this research is to demonstrate the impact of technological, economic and social indicators on productivity and competitiveness through the HARD Matrix method, proposed by the European Commission. The level of economic development of different countries, as well as the degree of diversification and specialization of their world production, determines the degree of integration of national economies in the world economy that differs considerably by country and group of countries. The expansion and amplification of the internationalization process have substantially changed the place and role of each state in the world economy. Due to this process, today's world economy is no longer a simple sum of economies put in contact, but a global-universal system, unitary through the interrelationships between the component subsystems and its extremely heterogeneous structure. In the twenty first-century, the process of amplifying innovation, the net economy, and the Covid 19 pandemic have shaped new trends in the world countries and determined the balance of power between the three great empires of the world – the United States, the European Union, and China. At the same time, there are no similar links between the United States, the European Union and China, they do not share the same culture, do not share the same geographic space, and do not use the same models of economic development, but all of them consider innovation, sophisticated business, technology, safe tools in promoting economic growth and competitiveness.


Author(s):  
Wayne Pease ◽  
Michelle Rowe ◽  
Lauretta Wright

Hervey Bay is located in the Wide Bay Burnett region of Queensland, Australia. Based on a number of economic and social indicators, the region can be described as disadvantaged (Planning Information Forecasting Unit, 2001). The median weekly income of the region is well below the Queensland state average. The overall unemployment rate for the region is around 16% with about 23% for youth unemployment. The population is aged with 20.7% of the population aged over 65 compared with the Queensland average of 12.4% (Paussa, 2003). Within the region the ratio of welfare payments to personal disposable income is 27.9% (Bray & Mudd, 1998), which is the second highest welfare recipient rate for a region in Australia.


2020 ◽  
Author(s):  
Dimitar Valev

AbstractThe statistical relationships of total COVID-19 Cases and Deaths per million populations in 45 countries, where 85.8% of the world’s population lives with 10 demographic, economic and social indicators were studied. Data for 28 May 2020 were used in the main calculations. The relationship of Deaths per million population and total Cases per million population is very close and reaches correlation coefficient R = 0.926. It is interesting that the close correlations were found of Cases and Deaths per 1 million with a purely economic index like GDP PPP per capita, where R = 0.687 and R = 0.660, respectively. Even more close correlations were found of Cases and Deaths per 1 million with a composite index HDI, where the correlation coefficients reach 0.724 and 0.680, respectively. The main reason for these paradoxical results is the underestimation of pandemic restrictions in the form of masks, social distance and disinfection in most of these countries. Other indicators (excluding Gini index and Population Density) also show statistically significant correlations with Cases and Deaths per 1 million with correlation coefficients from 0.432 to 0.634. The statistical significance of the found correlations determined using Student’s t-test was p <0.0001. Surprisingly, there was no statistically significant correlation between Cases and Deaths with Population Density. To check whether there is a change in the correlations with the development of the pandemic, a statistical analysis was made for four different dates – 9 April, 28 May, 7 August and 30 November 2020. It was found that the correlation coefficients of COVID-19 cases and Deaths with the rest indicators decrease during the pandemic.


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