scholarly journals The Effect of CO2 Emissions, Energy Consumption, Coal Consumption on Gross Domestic Product per Capita in Indonesia

2021 ◽  
Vol 6 (1) ◽  
pp. 18
Author(s):  
Wahyu Aji Wijaya
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Statistical Tests ◽  
Least Square ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Coal Consumption ◽  
Regulatory Policies ◽  
Per Capita

<p>Energy consumption in driving the industrialization of the economy in its development must be accompanied by regulatory policies that support so that this energy can be used efficiently. This study aims to determine the effect of CO2 emissions, energy consumption, and coal use on per capita economic growth in Indonesia. Secondary data used are time series sourced from the World Bank, the Central Bureau of Statistics, and related agencies during the period 1985 to 2019. The analytical tool used in this study is multiple linear regression based on Ordinary Least Square (OLS) along with statistical tests and Classical Assumption Test. The estimation results conducted show that the CO2 emission variable has a significant effect and has a positive relationship to Gross Domestic Product (GDP) per capita in Indonesia and the variables of coal consumption and energy consumption have a negative correlation to GDP per capita and seen from the probability value of the variable coal consumption statistically does not have a significant effect on GDP per capita in Indonesia.</p>

scholarly journals Influence of Extreme Events in Electric Energy Consumption and Gross Domestic Product

2019 ◽  
Vol 11 (3) ◽  
pp. 672
Author(s):  
Fabrício Vieira ◽  
Maurício Ribeiro ◽  
Antonio Francisco ◽  
Giane Gonçalves Lenzi
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Extreme Events ◽  
Electric Energy ◽  
Domestic Product ◽  
Electric Energy Consumption ◽  
Economic Instability ◽  
Per Capita ◽  
Carbon Dioxide Co2

The objective of this paper was to identify how extreme events can indicate periods of economic instability in variables from the economic and environmental context (per capita Gross Domestic Product (GDP), per capita electric energy consumption, and per capita carbon dioxide (CO2) emission). The research is limited to the population of the country (Brazil) and five cities of Paraná (Curitiba, Londrina, Maringá, Ponta Grossa, and Cascavel). Therefore, the major research interest was focused on finding information related to extreme events and other techniques that are used for interpretation of complex systems currently. The development was based on data collection. The results indicated that extreme events have influence in periods of economic instability. They also evidenced that there is greater correlation in GDP data/electric energy consumption than in GDP data/CO2 emissions or electric energy consumption/CO2 emissions.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

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.

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

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.

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.

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Granger Causality ◽  
Value Added ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Causality Test ◽  
Per Capita

The causal relationship between energy consumption and gross domestic product in Hong Kong from 1992 to 2015 is investigated in this study. Different from the previous studies focusing on the causal relationship between total energy consumption and total gross domestic product per capita, this study further investigates the causal relationship from sectoral perspective, including residential, commercial, industrial and transportation sectors. For each sector, the time series data of sectoral energy consumption and sectoral per capita value added are collected. To conduct the Granger causality test, the unit root test is first applied to analyse the stationarity of time series. The cointegration test is then employed to examine whether causal relationship exists in long-term. Finally, based on the aforementioned tests, both vector error correction model and vector autoregression model can be selected to determine the Granger causality between time series. It is interesting to find that the sectoral energy consumption and corresponding sectoral per capita value-added exhibit quite different causal relationships. For both residential sector and commercial sectors, a unidirectional causal relationship is found running from the sectoral per capita value added to sectoral energy consumption. Oppositely, for industrial sector and transportation sector, a unidirectional causal relationship is found running from sectoral energy consumption to sectoral per capita value added. Regarding the Granger causality test results, the indicative suggestions on energy conservation policies, energy efficiency policies and greenhouse gas emission reduction policies are discussed based on the background of Hong Kong’s economic structure and fuel types.

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.

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