scholarly journals CO2 intensity and GDP per capita

2019 ◽  
Vol 14 (2) ◽  
pp. 372-388
Author(s):  
Rögnvaldur Hannesson
Keyword(s):  
Gross Domestic Product ◽  
Industrial Production ◽  
Design Methodology ◽  
Structural Changes ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Content Type ◽  
Real Gdp ◽  
Co2 Intensity ◽  
Per Capita

Purpose To investigate whether CO2 intensity falls at a diminishing rate as countries grow richer. Design/methodology/approach Regression of CO2 intensity on the gross domestic product (GDP) per capita, including squared and cubic terms, for a panel of countries and individual countries. Findings CO2 intensity falls at a diminishing rate as countries grow richer. Originality/value Many studies have found that CO2 intensity falls with GDP per capita, but whether it does so at a diminishing rate has not been investigated. This result suggests that structural changes in GDP (more services) as countries get richer will provide little or no help toward decarbonization. It is shown that the extraction of minerals critical for industrial production has increased on par with real GDP. This could explain why CO2 emissions fall at a diminishing rate.

The Loan Shark in ASEAN

2020 ◽  
pp. 252-277
Author(s):  
Khairunnisa Musari
Keyword(s):  
Gross Domestic Product ◽  
Capita Income ◽  
Southeast Asian ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Per Capita Income ◽  
The World ◽  
Per Capita ◽  
Asean Countries ◽  
Loan Shark

Loan shark is a humanitarian problem faced by many countries in the world, including in Asia, even in the Association of Southeast Asian Nations (ASEAN)'s countries. Loan shark activities are found not only in Myanmar and Cambodia, which has the lowest per capita income in ASEAN but also in Indonesia, Thailand, Malaysia, Brunei, and even Singapore, which are the five countries with the highest gross domestic product (GDP) per capita in ASEAN. How are loan shark practices in ASEAN countries? Can nanofinance overcome the microfinance gap to fight the loan shark? How the practice of Bank Wakaf Mikro (BWM) in Indonesia to nanofinance with qardhul hassan contract? Find the answers in this chapter.

scholarly journals The role of entrepreneurship in explaining the real Gross Domestic Product per capita: Regression model selection

2016 ◽  
Vol 2 (1) ◽  
pp. 24-38
Author(s):  
Anita Harmina
Keyword(s):  
Model Selection ◽  
Gross Domestic Product ◽  
Early Stage ◽  
Entrepreneurial Activity ◽  
Gdp Per Capita ◽  
The Real ◽  
Independent Variables ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita

Abstract In this research, the impact of total early-stage entrepreneurial activity and competitiveness of the economy on the real gross domestic product (GDP) per capita is analyzed in a cross-section of world economies using the methods of correlation and multiple regression analysis. In the attempt to select between the linear and the double-logarithmic model, the regression diagnostics and quality of the relationship between the dependent and the independent variables were analyzed. The functional form of the model was tested by the MacKinnon, White and Davidson test. Model selection methods regarding the comparison of coefficients of determination and the Akaike information criterion were used. The results of the analysis show that independent variables have a statistically significant impact on the real GDP per capita, and that the real GDP per capita is elastic to the changes of competitiveness but inelastic to the changes of total early-stage entrepreneurial activity.

scholarly journals Indirect costs of sickness absence caused by mental and behavioural disorders (ICD-10: F00-F99) in Poland in the years 2012-2018

2020 ◽  
Vol 2 (1) ◽  
pp. 30-38
Author(s):  
Bartosz Kobuszewski
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Gross Domestic Product ◽  
Sickness Absence ◽  
Indirect Costs ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Behavioural Disorders ◽  
Icd 10 ◽  
Per Capita

Introduction: Mental health is necessary for achieving the complete health by individuals. According to WHO, it is "a state of well-being in which every individual realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to her or his community" (2). Unfortunately, there is an increasing number of people suffering from mental disorders that can deteriorate their life quality, lead to problems with the standard functioning in the society, a drop in productivity, and can cause disabilities. Purpose of the article: The purpose of this article was to attempt the estimation of indirect costs of sickness absence caused by mental and behavioural disorders (ICD-10: F00-F99) in Poland in the years 2012-2018. Materials and methods: Indirect costs were estimated with the human capital approach using data on sickness absence provided by the Polish Social Insurance Institution (ZUS) and macroeconomic indicators published by the Central Statistical Office in Poland (GUS). The individual productivity loss was introduced by means of three indicators: Gross Domestic Product (GDP) per capita, Gross Domestic Product per person employed, corrected Gross Domestic Product. Results: Estimated indirect costs of sickness absence caused by mental and behavioural disorders (ICD-10: F00-F99) in Poland in 2012 were: 1.62 billion PLN measured in terms of GDP per capita, 2.86 billion PLN measured in terms of corrected GDP per person employed, and 4.40 billion PL measured in terms of GDP per person employed. And those costs in 2018 were 2.93 billion PLN, 4.57 billion PLN, and 7.03 billion PLN respectively, and they were higher by ca. 60-80% than in 2012. Conclusions: The described estimation of indirect costs can lead to conclusions that mental health care in Poland is quite poor - indirect costs can reach twice the level of National Health Fund (NFZ) expenses on the mental health care.

scholarly journals Economic growth on the periphery: estimates of GDP per capita of the Congress Kingdom of Poland (for years 1870–1912)

2021 ◽  
Author(s):  
Piotr Koryś ◽  
Maciej Tymiński
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Demographic Data ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Bottom Up ◽  
Per Capita ◽  
Insight Into

Abstract This paper presents the estimates of the gross domestic product (GDP) of the Congress Kingdom of Poland for the period 1870–1912. The authors used bottom-up methodology and calculated sectoral added values using historical economic, social, and demographic data. The presented results offer first ever insight into the structure of sectoral added values in the Congress Kingdom of Poland during the period of first globalization and first reliable estimates of GDP of the Congress Kingdom of Poland. All results are presented in Geary–Khamis dollars PPP1990 and are compatible with Maddison dataset.

scholarly journals Deep Assessment Methodology Using Fractional Calculus on Mathematical Modeling and Prediction of Gross Domestic Product per Capita of Countries

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 633
Author(s):  
Ertuğrul Karaçuha ◽  
Vasil Tabatadze ◽  
Kamil Karaçuha ◽  
Nisa Özge Önal ◽  
Esra Ergün
Keyword(s):  
Time Series ◽  
Fractional Calculus ◽  
Gross Domestic Product ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Average Error ◽  
Assessment Methodology ◽  
Fractional Model ◽  
Modeling And Prediction ◽  
Per Capita

In this study, a new approach for time series modeling and prediction, “deep assessment methodology,” is proposed and the performance is reported on modeling and prediction for upcoming years of Gross Domestic Product (GDP) per capita. The proposed methodology expresses a function with the finite summation of its previous values and derivatives combining fractional calculus and the Least Square Method to find unknown coefficients. The dataset of GDP per capita used in this study includes nine countries (Brazil, China, India, Italy, Japan, the UK, the USA, Spain and Turkey) and the European Union. The modeling performance of the proposed model is compared with the Polynomial model and the Fractional model and prediction performance is compared to a special type of neural network, Long Short-Term Memory (LSTM), that used for time series. Results show that using Deep Assessment Methodology yields promising modeling and prediction results for GDP per capita. The proposed method is outperforming Polynomial model and Fractional model by 1.538% and by 1.899% average error rates, respectively. We also show that Deep Assessment Method (DAM) is superior to plain LSTM on prediction for upcoming GDP per capita values by 1.21% average error.

scholarly journals Management of mental health services in Malawi

2008 ◽  
Vol 5 (2) ◽  
pp. 29-30 ◽  
Author(s):  
Felix Kauye
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Gross Domestic Product ◽  
Sub Saharan Africa ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Per Capita ◽  
Sub Saharan

Malawi is a country in sub-Saharan Africa bordering Mozambique, Tanzania and Zambia. It has an area of approximately 118000 km2 and is divided into northern, central and southern regions. It has an estimated population of 13 million, 47% of whom are under 15 years of age and just 5% over 60 years. Its economy is largely based on agriculture, with tobacco being the main export. The projected growth in gross domestic product (GDP) for 2007 was 8.8%; GDP per capita was $284 per annum.

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 Government Spending, Gross Domestic Product, Human Development Index (Evidence from East Java Province)

2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan
Keyword(s):  
Local Government ◽  
Gross Domestic Product ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capita Income ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Development Index ◽  
Per Capita

Government spending is expected to improve the Human Development Index (HDI) in order to increase public welfare. Theoretically, if the number of government expenditure is increasing then the Human Development Index (HDI) will be higher as well. Based on earlier research, it was found few differences about the result of influence Government spending to Human Index. The purpose of the study was to analyze the influence of government spending and Gross Domestic Product to the Human Development Index of East Java Province (during 2014-2017). The research method using descriptive quantitative approach. Local government expenditures were analyzed by direct local government spending by looking at three aspects namely employees expenditure, spending on goods and services, and capital expenditures. Whereas, for the GDP per capita income is analyzed based on three aspects: production, income, and expenditure. Then the human development index to see the effects of these two variables based on three dimensions that exist in the human development index healthiness dimensions, dimensions of knowledge, and economic dimensions. The results showed that the local government spending income and the GDP per capita income has a significant effect on the human development index. Government spending has a significant influence on the educational dimension, while GDP per capita has a significant effect on the purchasing power of people thus affecting the economic dimension. Keywords: Government spending, Gross Domestic Product, Human Development Index

scholarly journals GLOBALIZATION AND ITS IMPACT ON ECONOMIC GROWTH: EVIDENCE FROM ASEAN COUNTRIES

TRIKONOMIKA ◽  
2020 ◽  
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Positive Impact ◽  
Economic Globalization ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Brunei Darussalam ◽  
Per Capita ◽  
Asean Countries ◽  
The Impact

This study investigates the impact of globalization toward economic growth in ASEAN countries during 2012 to 2017. The research method used judgmental sampling with samples of 11 countries. They were Brunei Darussalam, Cambodia, East Timor, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The analysis used path analysis to examine the impact between the variables of globalization and economic growth. Globalization was determined by globalization index, economic globalization, social globalization, and politic globalization. Real Gross Domestic Product (GDP) and Gross Domestic Product (GDP) per capita are used as a proxy for economic growth. The finding results are that globalization index, economic globalization, social globalization, and politic globalization have a significant positive association with Gross Domestic Product (GDP) and Gross Domestic Product (GDP) per capita. Overall globalization evidence the positive impact on economic growth in ASEAN Countries.

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