scholarly journals Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods

2018 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Darman Saputra
Keyword(s):  
Panel Data ◽  
Local Governments ◽  
Capita Income ◽  
Oil And Gas ◽  
Random Effect ◽  
Least Square ◽  
Per Capita Income ◽  
Processing Industry ◽  
Factors Affecting ◽  
Per Capita

The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. The Feasible Generalized Least Square (FGLS) method can be used to estimate the regression parameters for incomplete panel data for a one-way random effect. In this model produce the best model with non-oil and gas GRDP data. The variables that fulfill it are the processing Industry, service, and agriculture of Forestry and Fishery.  Therefore looking at the above model can be concluded non-oil and Gas GRDP has three factors that affect per capita income in Bangka Belitung. This should be a reference of local governments to further improve the quality or production in agriculture and services because this potential is more promising for the future. Software used to analyze data in this paper is with R.

scholarly journals UKURAN PASAR UKURAN PASAR (Market Size) DAN INVESTASI ASING LANGSUNG DI ASEAN

2016 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Adi Lumadya
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Investment ◽  
Capita Income ◽  
Random Effect ◽  
Direct Foreign Investment ◽  
Market Size ◽  
Per Capita Income ◽  
Variable Size ◽  
Per Capita

The main objective of this study was to examine the influence of some economic variables that include market size proxied with income per capita, economic growth, and exports to the Foreign Direct Investment in the member countries of ASEAN-9. The analytical tool used is the Least Squares Regression (Ordinary Least Square) and Panel Data. In the Data Panel will look for similarities in effect is Fixed (Fixed Effect) and the effect is Random (Random Effect). The results of the analysis are: Based on the analysis of OLS concluded that the variable size of the market (market size) were proxied with Per Capita Income (GDPP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Fixed Effect Method concluded that the variable size of the market (market size) were represented with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Random Effect method concluded that the variable size of the market (market size) were proxied with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Keywords: Foreign Direct Investment, Fixed Effect, Random Effect

scholarly journals Socio-Economic and Demographic Factors of Poverty Alleviation in Pakistan: A Case Study of Southern Punjab

2020 ◽  
Vol 6 (2) ◽  
pp. 525-538
Author(s):  
Rashid Ahmad ◽  
Muhammad Zahir Faridi
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Household Head ◽  
Rural Poverty ◽  
Least Square ◽  
Per Capita Income ◽  
High Dependency ◽  
Per Capita ◽  
Dependency Rate

This study aims to explore the socio-economic and demographic determinants of poverty in Southern Punjab by using the cross sectional data consisting of 785 household heads. Binary logistic regression  and ordinary least square method are used for estimation. The findings exhibit that the variables like family system, household size, presence of disease and status of employment of household head are positively and significantly related to  poverty whereas household head age, rural-to-urban migration,  years of schooling,  number of earners, women status of work, remittances, the physical assets value and ownership of house significantly and negatively influence the likelihood of poverty and positively influence the per capita income of the households in Southern Punjab. The study also provides the comparison of regional and division level. It is concluded that DG Khan division is the poorest among all the divisions of the southern Punjab. In DG Khan Division, the households have less education, high dependency ratio. In rural areas of southern Punjab, there is more poverty as compare to urban areas. The rural poverty is due to many factors like high dependency rate, lower level of education, adoption of profession, lower per capita income, dissaving. It is suggested that education should be promoted, employment opportunity should be provided so that dependency rate may be reduced, rural areas should be restructured by provision of basic necessities of life.

scholarly journals DETERMINASI EKSPOR NON MIGAS INDONESIA KE JEPANG

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 147
Author(s):  
Soeharjoto Soeharjoto
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Exchange Rates ◽  
Capita Income ◽  
Oil And Gas ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita Income ◽  
Oil Exports ◽  
Per Capita

<em></em><em><em>This study aims to determine the factors that affect Indonesia's non-oil exports to Japan. The variables used are imports, exchange rates, per capita income, inflation and non-oil exports of Indonesia to Japan</em>. <em>The analytical method used is regression analysis with data used for quarterly time series data from 2005-2016.</em> <em>The results are variable imports of raw and auxiliary materials, cycles, inflation, real Japanese GDP, and the population is able to explain Indonesia's non-oil exports to Japan by 31.3 percent. Imports, exchange rates, per capita income and inflation have a positive and significant effect on non-oil and gas exports to Japan.</em></em><em> </em>

scholarly journals PERILAKU DANA PIHAK KETIGA DALAM MERESPON PERUBAHAN VARIABEL EKONOMI MAKRO PADA BANK UMUM SWASTA NASIONAL (BUSN) PROVINSI JAWA TIMUR PERIODE 2000-2012

2013 ◽  
Vol 11 (2) ◽  
pp. 184
Author(s):  
Dhurotus Sangadah
Keyword(s):  
Interest Rates ◽  
Capita Income ◽  
Least Square Method ◽  
Equation Model ◽  
Least Square ◽  
Third Party ◽  
Per Capita Income ◽  
Dependent Variables ◽  
Per Capita ◽  
Saving Deposit

The purpose of this reserach is to knowing of responbility of dependent variabel to exchange of makro economics variable at Excahage Commercial Bank province of East Java. The model analysis is Doubled Linear Regression with  employs the OLS (Ordinary Least Square) method. In this research will be used four regression with four dependent variables. In the equation model Saving Deposits, Demand Deposits, Tme Deposits, Third Party Funds are dependent variables and per capita income, interest rate, inflation are independent variables. Result of regression was showed that Saving Deposit more sensitive to respon change of inflations variable that showed by its probability is 0,0024. Time deposit moere sensitive to respon change of interest rates variable taht  showed by its probability was 0,0012. Per capita income  has same respon of all dependent variable that swowed by its probability was 0,0000

scholarly journals ANALISIS MIDDLE INCOME TRAP DI INDONESIA

2017 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Asmirawati Asmirawati
Keyword(s):  
Capita Income ◽  
Direct Investment ◽  
Least Square ◽  
High Tech ◽  
Per Capita Income ◽  
Middle Income ◽  
Level Of Education ◽  
Income Per Capita ◽  
Per Capita ◽  
Middle Income Trap

This paper aims to analyze middle income trap in Indonesia where per capita income is the main indicator in determining whether a country is included in the middle income category or not. By looking at the effect of high technology products , education level, direct investment and dependent ratio on per capita income in Indonesia. The results of this model use the ordinary least square method, which shows that the export of high-tech products has a positive and significant effect on per capita income, the level of education has a positive and significant effect on per capita income, direct investment has a negative and significant effect on per capita income, the ratio has a positive and significant effect. income per capita and high-tech product exports, level of education, direct investment, and the ratio have a significant effect on income per capita in Indonesia.

scholarly journals Analisis pengaruh pendapatan perkapita dan belanja modal terhadap tingkat kemiskinan di Pulau Sumatera

2019 ◽  
Vol 8 (3) ◽  
pp. 135-148
Author(s):  
Wenny Tri Septiani ◽  
Zamzami Zamzami ◽  
Candra Mustika
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Capital Expenditure ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Poverty Level ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Poverty Levels

This study aims to: 1) To analyze and determine the development of per capita income, capital expenditure, and poverty levels on the island of Sumatra. 2) To analyze and determine the effect of per capita income and capital expenditure on poverty levels in Sumatra Island. The research analysis tool used panel data regression analysis tools. Based on the results of panel data regression, it can be concluded that per capita income and capital expenditure on the poverty level together have a significant effect. Whereas partially only the per capita income variable had a significant and negative effect on the poverty level, while capital expenditure had no significant and positive effect on the poverty level. Keywords: Poverty rate, Per capita income, Capital expenditures

scholarly journals Pengaruh PAD, DAU dan DAK pada Alokasi Belanja Modal dengan Pendapatan Per Kapita Sebagai Pemoderasi

2018 ◽  
pp. 2065
Author(s):  
Desak Made Mya Yudia Sari ◽  
Dewa Gede Wirama
Keyword(s):  
Regression Analysis ◽  
Capita Income ◽  
Capital Expenditure ◽  
Capital Expenditures ◽  
Observation Data ◽  
Per Capita Income ◽  
Factors Affecting ◽  
Local Revenue ◽  
Positive Effects ◽  
Per Capita

Capital expenditures are budget expenditurse for acquisition of property, plant and other assets that provide benefits over one accounting period. Capital expenditure has an important influence on the economic growth of a region and helps moving the regional economy. Factors affecting capital expenditures include local revenues, general allocation funds and special allocation funds. The purpose of this study is to determine the effect of local revenues, general allocation funds, and special allocation funds in the allocation of capital expenditures in the regencies / cities in Bali and to determine whether the influence of local revenue, general allocation funds and special allocation funds on the allocation of capital expenditure is moderated by per capita income. The sample of this research is government of Regency / City in Bali during the period of 2012-2016, resulting in of 45 observation. Data analysis techniques used are multiple linier regression analysis and moderated regression analysis. Based on the results of the analysis it is known that the local revenue and special allocation funds have positive effects on the allocation of capital expenditure while the general allocation fund does not affect the allocation of capital expenditure. Per capita income does not moderate the effects of local revenue, general allocation funds and special allocation funds on capital expenditure allocations.

scholarly journals Economic and Non-Economic Factors Effect Per Capita Income in Indonesia

2020 ◽  
Vol 8 (4) ◽  
pp. 315-323
Author(s):  
Rizqi Ulfa Nurlaili ◽  
Malik Malik Cahyadin
Keyword(s):  
Minimum Wage ◽  
Local Governments ◽  
Capita Income ◽  
Fixed Effects ◽  
Coefficient Of Determination ◽  
Domestic Investment ◽  
Per Capita Income ◽  
Technology Utilization ◽  
Positive Direction ◽  
Per Capita

Indonesia per capita income tends to increase during 2013 – 2016. It indicates that Indonesian people are able to achieve welfare improvement. This research aims to analyze the effects of inflation, Human Development Index (HDI), population, Gross Regional Domestic Product (GRDP) growth, Minimum Wage, and technology utilization on per capita income in Indonesia. It becomes a reference for local economic policies at local governments in Indonesia. The estimation model uses panel data under the Fixed Effects Model (FEM). FEM is chosen based on the Chow and Hausman test. This research uses time series from 2013 – 2016 and cross-section of 34 provinces in Indonesia. The findings show that inflation and GRDP have a significant effect on per capita income with negative direction, while HDI and minimum wage have a significant effect with positive direction, whereas population and technology utilization for workers do not have a significant effect. The coefficient of determination (Adjusted R2) is about 0.999754. It means that 99.975% of the dependent variable is explained by the variation of the independent variables. The implication of policies, namely: a) the local governments should control the inflation rate; b) the local governments should increase the domestic investment in health, education, and accessibility; and c) the local governments should promote technology utilization to the workers.

scholarly journals The concept of balanced development of waste management

2020 ◽  
Vol 161 ◽  
pp. 01053
Author(s):  
Anna Starodubova ◽  
Dilbar Sultanova ◽  
Albert Karimov
Keyword(s):  
Waste Management ◽  
Capita Income ◽  
Waste Utilization ◽  
Waste Generation ◽  
Per Capita Income ◽  
Factors Affecting ◽  
Balanced Development ◽  
The World ◽  
Per Capita ◽  
Selection Of

The authors propose the evaluation of the level of development of waste management and the factors associated with effectiveness of waste management in the world. Scientific novelty consists in new principle of the selection of factors. This principle based on the balance between the rate of waste generation and the efficiency of utilization, depending on income level in the countries. As a result, the factors affecting the effectiveness of waste management selected and classified by the method of expert evaluation. The algorithms has been proposed for calculate of the indicators of the intensity of waste generation, of the efficiency of utilization, of the balance of waste, of the overall efficiency of waste management. The evaluation of the effectiveness of waste management was applied by method of score of 217 countries of the world for 2018. The study found a correlation between the effectiveness of waste management and the country’s per capita income. This evaluation allows classifying countries on the level of per capita income and by the types of balance between the intensity of waste generation and the efficiency of waste utilization. On this basis the authors proposed to form a balanced policy of waste management.

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