scholarly journals Productivity losses associated with premature mortality due to cancer in Russia: A population-wide study covering 2001–2030

2019 ◽  
Vol 47 (5) ◽  
pp. 482-491 ◽  
Author(s):  
Anton Barchuk ◽  
Alexander Bespalov ◽  
Heini Huhtala ◽  
Tuvshinjargal Chimed ◽  
Alexey Belyaev ◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Cancer Mortality ◽  
Labour Force ◽  
Developed Countries ◽  
Domestic Product ◽  
Cervix Uteri ◽  
Federal State ◽  
Mortality Data ◽  
Cross Sectional ◽  
Productivity Losses

Aims: Productivity losses related to premature cancer mortality have been assessed for most developed countries but results for Russia are limited to cross-sectional reports. The aim of this study was to quantify productivity costs due to cancer mortality in Russia between 2001 and 2015 and project this to 2030. Methods: Cancer mortality data (2001–2015) were acquired from the State Cancer Registry, whereas population data, labour force participation rates and annual earnings were retrieved from the Federal State Statistics Service. Cancer mortality was projected to 2030 and the human capital approach was applied to estimate productivity losses. Results: The total annual losses increased from US6.5b in 2001–2005 to US$8.1b in 2011–2015, corresponding to 0.24% of the annual gross domestic product. The value is expected to remain high in 2030 (US$7.5b, 0.14% of gross domestic product). Productivity losses per cancer death are predicted to grow faster in women (from US$18,622 to US$22,386) than in men (from US$25,064 to US$28,459). Total losses were found to be highest for breast cancer in women (US$0.6b, 20% of overall losses in women) and lung cancer in men (US$1.2b, 24%). The absolute predicted change of annual losses between 2011–2015 and 2026–2030 was greatest for cervix uteri (+US$214m) in women and for lip, oral and pharyngeal cancers in men (+US$182m). Conclusions: In Russia, productivity losses due to premature cancer mortality are substantial. Given the expected importance especially for potentially preventable cancers, steps to implement effective evidence-based national cancer control policies are urgently required.

scholarly journals Cross-Temporal and Cross-National Poverty and Mortality Rates among Developed Countries

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Johan Fritzell ◽  
Olli Kangas ◽  
Jennie Bacchus Hertzman ◽  
Jenni Blomgren ◽  
Heikki Hiilamo
Keyword(s):  
Population Health ◽  
Health Indicators ◽  
Developed Countries ◽  
Mortality Data ◽  
Social Risk ◽  
Welfare Regimes ◽  
Cross Sectional ◽  
Relative Poverty ◽  
And Gender ◽  
The Relationship

A prime objective of welfare state activities is to take action to enhance population health and to decrease mortality risks. For several centuries, poverty has been seen as a key social risk factor in these respects. Consequently, the fight against poverty has historically been at the forefront of public health and social policy. The relationship between relative poverty rates and population health indicators is less self-evident, notwithstanding the obvious similarity to the debated topic of the relationship between population health and income inequality. In this study we undertake a comparative analysis of the relationship between relative poverty and mortality across 26 countries over time, with pooled cross-sectional time series analysis. We utilize data from the Luxembourg Income Study to construct age-specific poverty rates across countries and time covering the period from around 1980 to 2005, merged with data on age- and gender-specific mortality data from the Human Mortality Database. Our results suggest not only an impact of relative poverty but also clear differences by welfare regime that partly goes beyond the well-known differences in poverty rates between welfare regimes.

scholarly journals Protection of Intellectual Property and its Economic Aspects

2016 ◽  
Vol 5 (3) ◽  
pp. 5
Author(s):  
Lenka Pelegrinová ◽  
Martin Lačný
Keyword(s):  
Intellectual Property ◽  
Gross Domestic Product ◽  
Intellectual Property Rights ◽  
National Income ◽  
Domestic Product ◽  
Cross Sectional ◽  
Panel Data Regression ◽  
Data Regression ◽  
Significant Probability ◽  
Per Capita

Intellectual property as assets in intangible form is classified in most countries under the definitions of the TRIPS Agreement and PCT according to the manner of its protection. This article presents results of an analysis of relationship between the protection of intellectual property rights at certain globalization level and verification of their influence on economic indicators in the selected countries of the research sample – 32 countries of a similar intellectual property protection system under the PCT. An examination of the level of globalization as a quantitative marker was enabled by the KOF Index of Globalization. The time and cross-sectional data enabled to test 352 objections by applying a non-parametric statistical method – panel data regression with the effect of random cross-sectional variables. The conclusions show that there is a statistically significant probability of the relation between the quantity of registered patents and the level of gross domestic product, gross domestic product per capita and adjusted net national income.

scholarly journals Factors of Production Influencing Gross Domestic Product in Nepal

2021 ◽  
Vol 19 (2) ◽  
pp. 41-45
Author(s):  
Prabhat Jha ◽  
Shiva Chandra Dhakal
Keyword(s):  
Gross Domestic Product ◽  
Agricultural Land ◽  
Labour Force ◽  
National Income ◽  
Regression Function ◽  
Domestic Product ◽  
Average Growth Rate ◽  
Average Growth ◽  
Fixed Capital Formation ◽  
Factors Of Production

This study has analysed the factors of production, viz; agricultural land, working force and gross fixed capital formation (GFCF) of Nepal between 2000/01-2017/18 AD and has determined their effects on national income, viz; Gross Domestic Product (GDP) by using Cobb-Douglas regression function. The results showed an average growth rate of GDP, agricultural land, working force and GFCF to be 3.9%, 0.8%, 1.5% and 7.9%, respectively, with the values plummeting in 2015/16, due to occurrence of the devastating earthquake in 2015, but then again variable values skyrocketed following years. The regression analysis found that GDP was affected significantly by agricultural land and working force, but insignificant with GFCF. On an average, with the increase in agricultural land and working force by 1 %, GDP increased by 1.1% and 1.7%, respectively. Thus, policy regarding an increment of agricultural land use and employment of labour force must be framed to improve the Nepalese economy.

Determinants of National Gross Domestic Product among Disaggregated Development Expenditure Schemes: An Experience of Indian Economy during 1990-91 to 2004-05

2012 ◽  
Vol 8 (3) ◽  
pp. 225-231
Author(s):  
Saiyedali Ahmedmiya Saiyed
Keyword(s):  
Gross Domestic Product ◽  
Flood Control ◽  
Positive Influence ◽  
Domestic Product ◽  
Multivariate Regression Model ◽  
Cross Sectional ◽  
Indian Economy ◽  
Development Expenditure ◽  
Sectional Analysis

This paper is a study which examines what are the determinants of National Gross Domestic Product. In India various disaggregated development expenditure schemes undertaken during period of 1990-91 to 2004-05 have a significant influence on determination of National Gross Domestic Product. Here association between cross-sectional disaggregated development expenditure schemes and year-wise number of National Gross Domestic Product in India is estimated by a Multivariate Regression Model Analysis. Cross-sectional analysis shows significant association between year-wise number of gross domestic product and disaggregated development expenditure schemes in terms of Agriculture and Allied Activities, Rural Development, Irrigation and Flood Control, Energy, Industries and Minerals, Transport, Education, Health Including Medical, and Others Services, included together jointly in the model, have positive influence on the determination of Gross Domestic Product  in the Indian economy.

Economic growth and the development of innovations in modern Russia

10.12737/437 ◽  
2013 ◽  
Vol 1 (1) ◽  
pp. 44-50
Author(s):  
Шишкин ◽  
Andrey Shishkin
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Labour Force ◽  
Social Indicators ◽  
The State ◽  
Domestic Product ◽  
Innovation Development ◽  
Innovation Potential ◽  
Relationship Of ◽  
The Relationship

Analysis of terms associated with economic growth. In particular conducted a more detailed analysis of the gross domestic product. Describing the relationship of the gross domestic product, and social indicators connected with the movement of the labour force. The analysis of statistical indicators characterizing the innovation potential of the state. Touched upon the issues related to the preparation of personnel in the field of development of innovative processes. According to the survey of statistical data formed findings on the interaction of indicators characterizing the economic growth and indicators characterizing the innovative development of the state. Touched upon the issues of interaction of state corporations and the growth of the innovation development of the state, as well as the historical aspects of formation of state corporations. Analyzed the dependence between the development of innovation processes and the formation of human capital as a major factor of development of innovations. The conclusions which allow to compare the trends in the development of economic growth with the trends in the development of innovative processes.

scholarly journals A  Correlational Study on the Gross Domestic Product and Gross Domestic Product  Per Capita of a Country and Its COVID-19 Incidence and Mortality Rates

2021 ◽  
Author(s):  
Joseph Emmanuel G. Lopez
Keyword(s):  
Gross Domestic Product ◽  
Economic Status ◽  
Developed Countries ◽  
Mortality Rates ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Incidence And Mortality ◽  
State Of The Economy ◽  
Per Capita ◽  
Stratified Analysis

Some studies had shown that there is a relationship between the state of the economy of a country and COVID-19 incidence and mortality rates. However, these studies are just done on countries that are often on developed countries. This study aims to find the relationship between GDP and GDP per capita and COVID-19 incidence and mortality rates on all countries. In addition, they will also be analyzed based on their different income levels. The data collected are from databases from World Bank and WHO and will be analyzed through MS Excel and JASP. Spearman’s rho is used to analyze the overall data and stratified data. It has been found that the GDP per capita and incidence (r = .656, p < .001) and mortality rates (r = .521, p < .001) have a strong and moderate correlations respectively. GDP’s relationship with incidence (r = .295, p < .001) and mortality rates (r = .346, p < .001) resulted in both weak correlations. Stratified analysis resulted in no significant relationships, except for GDP per capita’s relationship with incidence (r = .362, p = .011) and mortality rates (r = .348, p = .014) in low-middle countries, which yielded both weak correlations. These results show that there is indeed a relationship between the incidence and mortality rates and the economic status of a country before a pandemic, however, more factors need to be accounted for in order to help countries improve their pandemic response in the future.

scholarly journals A  Correlational Study on the Gross Domestic Product and Gross Domestic Product  Per Capita of a Country and Its COVID-19 Incidence and Mortality Rates

2021 ◽  
Author(s):  
Joseph Emmanuel G. Lopez
Keyword(s):  
Gross Domestic Product ◽  
Economic Status ◽  
Developed Countries ◽  
Mortality Rates ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Incidence And Mortality ◽  
State Of The Economy ◽  
Per Capita ◽  
Stratified Analysis

Some studies had shown that there is a relationship between the state of the economy of a country and COVID-19 incidence and mortality rates. However, these studies are just done on countries that are often on developed countries. This study aims to find the relationship between GDP and GDP per capita and COVID-19 incidence and mortality rates on all countries. In addition, they will also be analyzed based on their different income levels. The data collected are from databases from World Bank and WHO and will be analyzed through MS Excel and JASP. Spearman’s rho is used to analyze the overall data and stratified data. It has been found that the GDP per capita and incidence (r = .656, p < .001) and mortality rates (r = .521, p < .001) have a strong and moderate correlations respectively. GDP’s relationship with incidence (r = .295, p < .001) and mortality rates (r = .346, p < .001) resulted in both weak correlations. Stratified analysis resulted in no significant relationships, except for GDP per capita’s relationship with incidence (r = .362, p = .011) and mortality rates (r = .348, p = .014) in low-middle countries, which yielded both weak correlations. These results show that there is indeed a relationship between the incidence and mortality rates and the economic status of a country before a pandemic, however, more factors need to be accounted for in order to help countries improve their pandemic response in the future.

scholarly journals Legislative Regulation Financial Statement Preparation by Micro Entities: International Experience

2021 ◽  
Vol 13 (5) ◽  
pp. 125-138
Author(s):  
Natalia S. Matveeva ◽  
Keyword(s):  
Gross Domestic Product ◽  
Financial Reporting ◽  
Financial Statements ◽  
Financial Statement ◽  
Domestic Product ◽  
Federal State ◽  
The European Union ◽  
Financial Reports ◽  
Legislative Regulation ◽  
Entrepreneurial Activities

The article analyzes the experience of legislative regulation of financial statement preparation by micro entities in the Commonwealth of Independent States, the European Union, and the United Kingdom. The legislative acts of the countries, national accounting standards and financial reporting standards serve as the methodological basis for the analysis. For the purpose of this study the article identifies the criteria for categorizing an organization as a micro entity, analyzes the documents regulating the procedure for the preparation of financial statements, and compares the procedures for financial reports formation by micro entities in different countries. Micro entities are an important component of the country’s economy, affecting the level of employment, gross domestic product and other important indicators of the country’s development. In Russia, micro entities account for 96 percent of the small and medium-sized business sector, whose share in the gross domestic product was about 20.6 % in 2019 according to Federal State Statistics Service estimates and which created about 33 % of jobs. For comparison, in the OECD countries small and medium-sized businesses generate, on average, about 55 % of GDP and about 59.1 % of jobs, whereas in the EU countries the percentage is higher: 57.5 % of GDP, and 65 % of the employed. However, in order to support the development of micro entities, it is necessary to create favorable conditions for the implementation of entrepreneurial activities, in particular through simplifying the procedure for the formation and submission of financial statements.

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