scholarly journals The Effect of Industrial Sector and Transportation Sector on CO2 Emissions In Indonesia

2021 ◽  
Vol 6 (1) ◽  
pp. 56
Author(s):  
Izmi Dwi Maharani Poetri
Keyword(s):  
Co2 Emissions ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Regression Models ◽  
Industrial Sector ◽  
Least Square ◽  
Linear Regression Models ◽  
Ordinary Least Square ◽  
Transportation Sector ◽  
Positive Effect

<p><em>Environmental quality is an important aspect of life.</em><em> </em><em>This study aims to analyze the effect of industrial sector GDP and transportation sector GDP on environmental quality in terms of carbon dioxide emissions in Indonesia.</em><em> </em><em>This analysis uses multiple linear regression models with the Ordinary Least Square (OLS) method.</em><em> </em><em>The results of the analysis show that the GDP of the Industrial Sector has no significant effect on CO2 emissions, while Transportation GDP has a significant and positive effect on CO2 emissions, this is supported by the Environmental Kuznet Curve (EKC) theory.</em><em></em></p><p><strong><em> </em></strong></p><p><strong><em>Keywords</em></strong><em> : carbondioxyde emission, GDP of industry sector, GDP of transportation sector </em></p>

scholarly journals THE EFFECT OF HEALTH INFRASTRUCTURE DEVELOPMENT, EDUCATION, AND THE NUMBER OF POPULATIONS ON ECONOMIC GROWTH IN NORTH SUMATERA PROVINCE

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Mariyatul Kubtiyah Ritonga
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Infrastructure Development ◽  
Linear Regression Models ◽  
Development Education ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
North Sumatra ◽  
Positive Effect

Economic Growth in North Sumatera priod 2000 until 2012 shows the condition that increases continuously, but the increase did not have an impact on education, health. This study aimed to analyze the influence of the health infrastructure, education infrastructure and population to economic growth in the province of North Sumatra simultaneously and partially. The data used are secondary data from BPS in North Sumatra time series from 2000 till 2012. Data analysis was performed by using OLS (Ordinary Least Square) with a multiple linear regression models estimated with the help of the program Eviews 7. The results of this study showed that simultaneous variable health infrastructure, education infrastructure and population have a significant effect on economic growth in the province North Sumatra. While partially concluded that variable infrastructure and population health positive and significant effect; educational infrastructure but not significant positive effect on economic growth in the province of North Sumatra. The results of this study also showed that the most dominant variables to economic growth in the province of North Sumatra is the total population.

scholarly journals Impor gandum Indonesia dan faktor-faktor yang Mempengaruhinya

2019 ◽  
Vol 7 (2) ◽  
pp. 101-112
Author(s):  
Gita Wulandari ◽  
Siti Hodijah ◽  
Yohanes Vyn Amzar
Keyword(s):  
Gross Domestic Product ◽  
Interest Rates ◽  
Regression Models ◽  
Total Population ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Linear Regression Models ◽  
Ordinary Least Square ◽  
Multiple Linear Regression Models

This study aims: 1) to analyze the development of wheat import volume, gross domestic product (GDP), inflation, investment credit interest rates, and population of Indonesian wheat imports. 2) to analyze the effect of gross domestic product, inflation, investment interest rates on Indonesian wheat imports. This study is a descriptive study and the types of data used in this study are secondary data in the form of gross domestic product, inflation, investment credit interest rates, and population for the last 18 years (2000-2017). The data obtained were processed using SPSS 20 with multiple linear regression models using the Ordinary Least Square (OLS) method. The results of this study indicate that the gross domestic product (GDP) obtained a significant level of 0.03, inflation obtained a significant level of 0.598, and the total population obtained a significant level of 0.522. The regression results show that partially only the variable gross domestic product (GDP) and interest rates are Investment credit interest has a significant effect on imports of Indonesian wheat, while inflation and population have no significant effect on imports of Indonesian wheat. Keywords: GDP, Inflation, Interest rates, Population

scholarly journals THE EFFECT OF HEALTH INFRASTRUCTURE DEVELOPMENT, EDUCATION, AND THE NUMBER OF POPULATIONS ON ECONOMIC GROWTH IN NORTH SUMATERA PROVINCE

2019 ◽  
Vol 8 (2) ◽  
pp. 16
Author(s):  
Mariyatul Kubtiyah Ritonga ◽  
Anhar Fauzan Priyonob
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Infrastructure Development ◽  
Linear Regression Models ◽  
Development Education ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
North Sumatra ◽  
Positive Effect

Economic Growth in North Sumatera priod 2000 until 2012 shows the condition that increases continuously, but the increase did not have an impact on education, health. This study aimed to analyze the influence of the health infrastructure, education infrastructure and population to economic growth in the province of North Sumatra simultaneously and partially. The data used are secondary data from BPS in North Sumatra time series from 2000 till 2012. Data analysis was performed by using OLS (Ordinary Least Square) with a multiple linear regression models estimated with the help of the program Eviews 7. The results of this study showed that simultaneous variable health infrastructure, education infrastructure and population have a significant effect on economic growth in the province North Sumatra. While partially concluded that variable infrastructure and population health positive and significant effect; educational infrastructure but not significant positive effect on economic growth in the province of North Sumatra. The results of this study also showed that the most dominant variables to economic growth in the province of North Sumatra is the total population.

scholarly journals Impact of Inflation and Unemployment on Economic Growth of Pakistan

2021 ◽  
Vol 6 (4) ◽  
pp. 282-288
Author(s):  
Muhammad Ramzan
Keyword(s):  
Economic Growth ◽  
Diagnostic Tests ◽  
Regression Models ◽  
Error Term ◽  
Least Square ◽  
Linear Regression Models ◽  
Ordinary Least Square ◽  
White Test ◽  
Multiple Linear Regression Models

This paper aims to identify the influence of inflation and unemployment on the economic growth of the country. This study recommends some essential policies about unemployment and inflation in the economic growth of Pakistan. In this study, the “Ordinary Least Square (OLS)” method is used with different diagnostic tests for determining the fitness of data for the investigation; and the data is collected from 1980 to 2018. The econometric results suggest that the time series is stationary because the values of t-statistic are more than t-tab and sig value is also significant. The error term on ADF is significant and that ensures that there is long term association. The results of ECM indicate that inflation and unemployment are away from the value of equilibrium. The results of multiple linear regression models indicate that inflation and unemployment are statistically insignificant, and the overall model is also statistically insignificant. There is no multicollinearity and there is no heteroscedasticity as per White test. By running the Ramsay Reset test, the researcher concludes that the model is not specified because the sig value of the t-test and f-test is significant.

scholarly journals Starchy Vegetables and Metabolic Syndrome in Costa Rica

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1639
Author(s):  
Zhongyao Li ◽  
Dongqing Wang ◽  
Edward A. Ruiz-Narváez ◽  
Karen E. Peterson ◽  
Hannia Campos ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Models ◽  
Fasting Blood Glucose ◽  
Population Based ◽  
Cross Sectional Study ◽  
Costa Rican ◽  
Least Square ◽  
Inverse Association ◽  
Linear Regression Models ◽  
Cross Sectional

Only a few studies primarily examined the associations between starchy vegetables (other than potatoes) and metabolic syndrome (MetS). We aimed to evaluate the association between starchy vegetables consumption and MetS in a population-based sample of Costa Rican adults. We hypothesized that a higher overall intake of starchy vegetables would not be associated with higher MetS prevalence. In this cross-sectional study, log-binomial regression models were used to estimate prevalence ratios (PRs) of MetS across quintiles of total, unhealthy, healthy starchy vegetables, and individual starchy vegetables (potatoes, purple sweet potatoes, etc.), among 1881 Costa Rican adults. Least square means and 95% confidence intervals (CIs) from linear regression models were estimated for each MetS component by categories of starchy vegetable variables. Higher intakes of starchy vegetables were associated with a higher prevalence of MetS in crude models, but no significant trends were observed after adjusting for confounders. A significant inverse association was observed between total starchy and healthy starchy vegetables consumption and fasting blood glucose. In this population, starchy vegetables might be part of a healthy dietary pattern.

scholarly journals Does Green Energy Complement Economic Growth for Achieving Environmental Sustainability? Evidence from Saudi Arabia

2020 ◽  
Vol 13 (1) ◽  
pp. 180
Author(s):  
Montassar Kahia ◽  
Anis Omri ◽  
Bilel Jarraya
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Sustainability ◽  
Least Square ◽  
Ekc Hypothesis ◽  
Renewable Energy Consumption ◽  
Ordinary Least Square

This study extends previous environmental sustainability literature by investigating the joint impact of economic growth and renewable energy on reducing CO2 emissions in Saudi Arabia over the period 1990–2016. Using the fully modified ordinary least-square (FMOLS) and dynamic ordinary least-square DOLS estimators, we find that economic growth increases CO2 emissions in all estimated models. Moreover, the validity of the environmental Kuznets curve (EKC) hypothesis is only supported for CO2 emissions from liquid fuel consumption. The invalidity of the EKC hypothesis in the most commonly used models implies that economic growth alone is not sufficient to enhance environmental quality. Renewable energy is found to have a weak influence on reducing the indicators of environmental degradation. We also find that the joint impact of renewable energy consumption and economic growth on the indicators of CO2 emissions is negative and insignificant for all the estimated models, meaning that the level of renewable energy consumption in Saudi Arabia is not sufficient to moderate the negative effect of economic growth on environmental quality. Implications for policy are also discussed.

scholarly journals Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability

2021 ◽  
Vol 18 (14) ◽  
pp. 7347
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Seun Damola Oladipupo ◽  
Ephraim Bonah Agyekum ◽  
Arunkumar Jayakumar ◽  
...  
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Natural Gas ◽  
Co2 Emissions ◽  
Environmental Sustainability ◽  
Least Square ◽  
Kuznets Curve ◽  
Gas Oil ◽  
Energy Mix ◽  
Ordinary Least Square

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.

THE EFFECT OF EDUCATION, HEALTH, UNEMPLOYMENT AND INFRASTRUCTURE ON POVERTY IN BENGKAYANG REGENCY

2019 ◽  
Vol 1 (1) ◽  
pp. 17-25
Author(s):  
Deffrinica Deffrinica
Keyword(s):  
Least Squares Method ◽  
Education Sector ◽  
Least Square ◽  
Path Coefficient ◽  
Hospital Services ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
The Government ◽  
Poverty Levels ◽  
Positive Effect

Education  (X1) shows the results of the analysis of poverty (Y) in Bengkayang Regency. Not significant when viewed from the results of the t test partially can be obtained to count to the value of the Education Sector, -1.449> 1.796 so that education has a positive and not significant effect on poverty, which is supported by a significant level of 0.385 <0.050. This shows that the Education Sector variable has no significant effect on Poverty (Y). Health (X2) has a negative and significant effect on Poverty, which is supported by the Probability Value (sig) of 0.437 <0.050. This means that in terms of health, the government in this case has made every possible effort  for budget expenditures , but in fact in the field there are still many underprivileged people who have not been able to enjoy maximum hospital services. The results of the analysis of the direct effect of Unemployment (X3) on Poverty in Bengkayang Regency showed insignificant influence. The results of the analysis show that this path has a significant effect because the value of t count is 1,217, while the table is 1,796 (t count 1,217> t table 1,796), thus in this direct relationship pattern, unemployment has a positive effect not significant to poverty, which is supported by Probability Value (sig) 0.371> 0.050. The results of the analysis of direct influence of Infrastructure (X4) on poverty levels in Bengkayang Regency show that the path coefficient between Infrastructure and poverty is 0.804> 0.050, which means that the pathway has a negative and insignificant effect. The method used to analyze this research is linear regression with the least squares method usually known as OLS (Ordinary Least Square), which is a method used to determine the effect of an independent variable on the dependent variable.

scholarly journals Agriculture, Manufacturing and Economic Growth in Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Atayi Abraham Vincent ◽  
Keyword(s):  
Government Spending ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Research Work ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Positive Effects ◽  
The Government ◽  
Positive Effect

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.

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