scholarly journals PENGARUH KEGIATAN SEKTOR INDUSTRI, PERTAMBANGAN DAN TRANSPORTASI TERHADAP KUALITAS LINGKUNGAN DITINJAU DARI EMISI CO2 DI INDONESIA

2016 ◽  
Vol 5 (2) ◽  
pp. 125
Author(s):  
Ayudhia Andarini ◽  
Idris Idris ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Significant Influence ◽  
Least Square Method ◽  
Least Square ◽  
Domestic Product ◽  
Mining Sector ◽  
Green House Gases ◽  
Industry Sector ◽  
Green House

Carbondioxyde emission is kind of green house gases that has highestconcentration in he atmosphere than the ohers green house gases. The aim of thisresearch is that analyzing influence of industry sector, mining sector, and transportationsector avtivities to the environment quality base on the carbondioxyde emission inIndonesia. This analysis used regression model with Ordinary Least Square method(OLS). Result of analysis indicate that Gross Domestic Product  (GDP) of industry sectorhas negative and significant  influence to carbondioxyde emission in Indonesia, with significant value at 0.00,  Gross Domestic Product (GDP) of mining sector has positiveand significant influence to carbondioxyde emission in Indonesia with significant value at0.00 and Gross Domestic Product  (GDP) of transportation sector has positive andsignificant influence to Economic Growth in Indonesia, with significant value at 0.00.Then, Gross Domestic Product  (GDP) of industry sector, mining sector andtransportation sector have significantly influence to Economic growth in Indonesia withsignificant value at 0.00 based on with the theory Environmental Kuznet Curve (EKC).

scholarly journals ENGARUH KEGIATAN SEKTOR INDUSTRI,PERTAMBANGAN DAN TRANSPORTASI TERHADAP KUALITAS LINGKUNGAN DITINJAU DARI EMISI CO2 DI INDONESIA

2017 ◽  
Vol 6 (1) ◽  
pp. 63
Author(s):  
Ayudhia Andarini ◽  
Idris Idris ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Significant Influence ◽  
Least Square ◽  
Domestic Product ◽  
Mining Sector ◽  
Green House Gases ◽  
Industry Sector ◽  
Green House ◽  
Transportation Sector

Carbondioxyde emission is kind of green house gases that has highest concentration in he atmosphere than the ohers green house gases. The aim of this research is that analyzing influence of industry sector, mining sector, and transportation sector avtivities to the environment quality base on the carbondioxyde emission in Indonesia. This analysis used regression model with Ordinary Least Square method (OLS). Result of analysis indicate that Gross Domestic Product  (GDP) of industry sector has negative and significant  influence to carbondioxyde emission in Indonesia, with  significant value at 0.00,  Gross Domestic Product (GDP) of mining sector has positive and significant influence to carbondioxyde emission in Indonesia with significant value at 0.00 and Gross Domestic Product  (GDP) of transportation sector has positive and significant influence to Economic Growth in Indonesia, with significant value at 0.00. Then, Gross Domestic Product  (GDP) of industry sector, mining sector and transportation sector have significantly influence to Economic growth in Indonesia with significant value at 0.00 based on with the theory Environmental Kuznet Curve (EKC).

scholarly journals Foreign Direct Investment (FDI), Trade and Its Contribution to the Mining Sector of Guinea

2016 ◽  
Vol 7 (2) ◽  
pp. 65
Author(s):  
Kimberly Racquel Elizabeth Chin
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Mining Industry ◽  
Domestic Product ◽  
Mining Sector ◽  
The Government ◽  
The Relationship

In order to objectively analyze Foreign Direct Investment (FDI) contribution to Guinea’s mining sector, the granger casualty test was used to determine the relationship among variables and to determine whether any of these variables affect others and how. The variables used are Gross Domestic Product, Government Income, Trade, FDI inflow into Guinea mining sector and the exchange rate. The granger casualty test produced evidence of a bidirectional casualty relationship which suggests that FDI’s influence on efficiency lies in the government relaxing its dependency on the mining industry for economic  growth.

scholarly journals PENGARUH PENYALURAN DANA BANK KONVENSIONAL DAN BANK SYARIAH TERHADAP PRODUK DOMESTIK BRUTO DI INDONESIA

Media Ekonomi ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 127
Author(s):  
Sinta Rani Siti Sarah ◽  
Sumiyarti ,
Keyword(s):  
Linear Regression ◽  
Gross Domestic Product ◽  
Least Square Method ◽  
Least Square ◽  
Domestic Product ◽  
Islamic Banks ◽  
Ordinary Least Square ◽  
Analysis Technique ◽  
Using Data ◽  
Conventional Banks

<p><em>This study aims to analyse the distribution of Islamic banks and the distribution of conventional bank funds to the gross domestic product in Indonesia. The analysis was carried out using data scanned by the Central Statistics Agency (BPS) and Bank Indonesia for 2004: 01-2014: 04 period. The analysis technique used in this study was Multiple Linear Regression using the OLS (Ordinary Least Square) method. The results showed that the distribution of Islamic banks had a positive and not significant effect on the growth of Gross Domestic Product (GDP), while the distribution of funds from conventional banks and Islamic banks was significant towards Gross Domestic Product.</em></p>

scholarly journals Evaluation of the Impacts of Non-Oil Exports on Economic Growth in Nigeria Between 1986-2018

2021 ◽  
Vol 4 (3) ◽  
pp. 39-64
Author(s):  
Chinyere F.E. ◽  
Samuel N.N. ◽  
Nkama O.N. ◽  
Chinwoke R.E.
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Financial Services ◽  
Capacity Utilization ◽  
Least Square ◽  
Domestic Product ◽  
Real Gross Domestic Product ◽  
Ex Post ◽  
Oil Exports ◽  
The Government

Non-oil exports have been seen to be very vital in economic growth and development, especially for developing economics. Despite the poor contribution of non-oil exports to economic growth in Nigeria, this study is inspired by the inconsistencies in empirical findings regarding the connection and effect of non-oil exports on the economy. The objective of the study was to determine the effect of non-oil exports on economic growth in Nigeria. An ex-post facto research design was adopted. The time frame of thirty three (33) years, from 1986 to 2018 was adopted to allow for a large number of observations which will improve the robustness of the results. The data was obtained from the Central Bank of Nigeria (CBN) statistical bulletin of 2017. The Ordinary Least Square (OLS) estimation technique was applied in guesstimating the models. E – views 9.0 was the econometric software used for the analysis. The result revealed that non-oil exports have no significant effect on the growth rate of real gross domestic product, agricultural contribution to real gross domestic product is not significantly affected by exports of non-oil products even though there is evidence of a positive but insignificant correlation between them. Manufacturing capacity utilization is not significantly influenced by variation in Nigeria’s non-oil exports. Non-oil exports are positively associated with manufacturing capacity utilization. Economic growth in Nigeria has not been significantly affected by non-oil exports despite the various non-oil promotion strategies by the government. We recommend that cost and access to financial services for non-oil exporters be moderate or relaxed.

scholarly journals EFFECT OF STOCK EXCHANGE OPERATIONS ON ECONOMIC GROWTH IN NIGERIA

2018 ◽  
Vol 1 (1) ◽  
pp. 258-264
Author(s):  
Maryam ABDU ◽  
Sunday Moses IBRAHIM
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Stock Exchange ◽  
Least Square ◽  
Domestic Product ◽  
Security Market ◽  
Ordinary Least Square ◽  
Secondary Sources ◽  
Private And Public ◽  
Ordinary Least Square Regression

This study examined the effect of Nigerian Stock Exchange operations on the Economic Growth in Nigeria. Data was collected from secondary sources, through the central bank of Nigeria database. To achieve the objective of the study, Nigerian Stock Exchange operations was proxy by All Share Index while Economic Growth was proxy by Gross Domestic Product. The study covered a seventeen year period. Ordinary least square regression technique was employed in examining the effect of all share index on economic growth. The findings revealed that all share index and gross domestic product are positively and significantly correlated. Based on the findings of this study, it is therefore recommended that an enabling environment should be created in order to enhance the participation of both private and public sector in the security market so as to stimulate economic growth

scholarly journals The Effect of Regional Gross Domestic Product (GDP) and Development Expenditure on Employment in the District Luwu

2016 ◽  
Vol 7 (1) ◽  
pp. 82-89
Author(s):  
I Ketut Patra ◽  
Sri Wahyuny
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Least Squares Method ◽  
Government Expenditure ◽  
Social Economy ◽  
Least Square ◽  
Domestic Product ◽  
Goods And Services ◽  
Regional Budget ◽  
Development Expenditure

This study aims to assess the economic growth and the factors that influence the economic growth in the local government system by increasing the production of goods and services measured by Gross Domestic Product (GDP) and the policy of government expenditure (development) that can directly drive growth to finance economic development in the field of social economy and the public, both the development of physical and non-physical. This study uses multiple regression analysis by the least squares method (Method of Ordinary Least Square) OLS. These results indicate that the budget Revenue Expenditure Luwu, particularly in development spending has been a major contribution to regional development Luwu. With increasing economic growth and rising Luwu regency Regional Budget Builders Luwu district each year, then it will affect the employment opportunities for local people Luwu.

scholarly journals Analysis of the Leading Sector and the Effect of the Economic Growth: A Case Study in Pakpak Bharat Regency, Indonesia

2018 ◽  
Vol 28 (3) ◽  
pp. 37-49
Author(s):  
Dinar Melani Hutajulu ◽  
M. Nasir ◽  
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Location Quotient ◽  
Know How

Abstract Pakpak Bharat Regency is an area with the lowest Gross Regional Domestic Product and Income percapita from 33 regency/city in North Sumatera Province. Because of this problem, to be important to know how the base sectors can improve the economy of Pakpak Bharat Regency. In this research, the study aims: (1) To know the base sectors in the economy of Pakpak Bharat Regency (2) To know the sector clasification of Gross Regional Domestic Product (GRDP) in Pakpak Bharat Regency (3) To know how the base sectors effect the Gross Regional Domestic Product of Pakpak Bharat Regency. The data used in this study is secondary data and readings related to research. The tests used in this study are Klassen Typology, Location Quotient, and Least Square test. The research finds that: (1) the economics of Pakpak Bharat Regency is divided into several quadrants, is advanced and rapidly growing sectors (Quadrant I), advanced but depressed sectors (Quadrant II), potential sector (Quadrant III), and lagging sector (Quadrant IV). (2) sectors classified as advanced sectors in Quadrant I and Quadrant II (amounting to 4 sectors) are basic sectors in Pakpak Bharat Regency with LQ>1. (3) there is a positive and significant influence between the base sector on the GRDP of Pakpak Bharat Regency.

Taxation and Nigerian Economy: an Empirical Analysis

2021 ◽  
Vol 7 (4) ◽  
pp. 29-35
Author(s):  
Amah Cletus Okey
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Value Added ◽  
Least Square Method ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Regression Result ◽  
Value Added Tax ◽  
Independent Variables

The study was carried out to investigate the effect of Nigerian taxation system on Nigerian economy. The study anchored on benefit received theory of taxation as it theoretical framework. The study covered a period of 18 years (1999-2017). Time series data extracted from Central Bank of Nigeria Statistical Bulletin and Federal Inland Revenue Service for the various years was used for the study. Ordinary Least Square method of regression was adopted for data analysis. The independent variables are Value Added Tax (VAT), Petroleum Profit Tax (PPT), and Company Income Tax (CIT) while Gross Domestic Product (GDP) is the dependent variable. The regression result revealed that there is a significant positive relationship between the independent variables (PPT, CIT) and Gross Domestic Product. However the relationship between Value Added Tax and Gross Domestic Product is negative. It is recommended that government should provide enabling environment for companies to generate more revenues. Government should also reduce the VAT rate to encourage consumption of certain goods.

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

2020 ◽  
Author(s):  
Ertuğrul Karaçuha ◽  
Vasil Tabatadze ◽  
Kamil Karaçuha ◽  
Nisa Özge Önal ◽  
Esra Ergün
Keyword(s):  
Fractional Calculus ◽  
Gross Domestic Product ◽  
Short Term Memory ◽  
Least Square Method ◽  
Assessment Method ◽  
Least Square ◽  
Domestic Product ◽  
Unknown Coefficient ◽  
The Usa ◽  
Per Capita

In this study, by using Least Square Method, the dataset for the Gross Domestic Product per capita is modeled as a function satisfying the fractional differential equation. The function itself is assumed to be the finite summation of its previous values and the derivatives with unknown coefficients. Then, the prediction for the upcoming years is done by having an approach dividing the dataset into 4 regions corresponding to four different tasks. The mathematical model of the Gross Domestic Product (GDP) per capita of the countries (and union) which are Brazil, China, European Union (EU), India, Italy, Japan, UK, the USA, Spain, and Turkey is constructed with a new methodology called as the deep assessment method which comes from the expressing an arbitrary function modeling the dataset as the finite summation of its previous values and the derivatives with unknown coefficient. The method uses the fractional calculus properties combining with Least Square Method and is compared to Long short-term memory (LSTM) algorithm which is a special type of neural network used for time sequences in general.

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.

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