scholarly journals The effect of employment, economic growth, and investment on HDI: In provinces in Indonesia

2016 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Nur Feriyanto
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Human Development Index ◽  
Direct Investment ◽  
Foreign Direct Investments ◽  
Domestic Investment ◽  
Economic Growth Rate ◽  
Panel Data Regression ◽  
Data Regression ◽  
Working People

This study aims to analyze the effect of Number of Working People (Employment), Economic Growth Rate (EGR), and Investment on Human Development Index (HDI) in Indonesia, partially and simultaneously. This study used investments consisting of Domestic Investment (DI) and Foreign Direct Investment (FDI). It used the method of analysis of panel data regression analysis with the data from thirty-three provinces in Indonesia from 2006 to 2013. The results indicate that the employment variables have positive and significant impact to HDI in Indonesia. It shows that EGR does not affect HDI in Indonesia. However, Domestic and foreign direct investments partially have positive and significant effect on HDI in Indonesia. Simultaneously, the variables employment, EGR, domestic and foreign direct investments have a significant effect on the HDI in Indonesia.

scholarly journals Foreign direct investments as a means of financing the economic development of Southeastern European countries

2020 ◽  
Vol 14 (1) ◽  
pp. 34-51
Author(s):  
Dragica Stojanović
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
European Countries ◽  
Current Account Balance ◽  
Domestic Investment ◽  
Economic Growth Rate ◽  
Domestic Savings

The paper analyzes the sources of Southeastern European countries' economic development financing - Albania, Bosnia and Herzegovina, Bulgaria, Montenegro, Croatia, Romania, Macedonia, and Serbia in the period from year 2009 to year 2018. The research focus is on the one hand directed towards the analysis of the economic growth rate, the share of domestic savings and the current account balance. On the other hand, particular attention in the analysis is given to the data on the dynamics of foreign direct investment. The analysis in the paper indicates that due to the lack of domestic savings and difficulties with foreign borrowing, in the observed period, foreign direct investment was the most represented source of financing for economic development. The analysis for the SEE countries also shows that the lack of domestic savings caused the unfavorable structure of foreign direct investment flows with the end result of a low economic growth rate. When it comes to the relevance of foreign direct investment for the long-term economic development of Southeastern European countries, the paper concludes that a more active development policy is needed, aimed at increasing the share of domestic savings in gross domestic product as well as the growth of the domestic investment. Simply put, in present circumstances, it is unrealistic to rely heavily on foreign investments.

scholarly journals Human Development Index (HDI) in Papua Province

2015 ◽  
Vol 6 (3) ◽  
pp. 24-29
Author(s):  
Nuralam Nuralam
Keyword(s):  
Economic Growth ◽  
Human Development Index ◽  
Power Index ◽  
Least Square Method ◽  
Least Square ◽  
Purchasing Power ◽  
Test Results ◽  
Health Index ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of the health index, education index and the index of the economic growth of Papua Province simultaneously and partially. The analytical method used was a panel data regression analysis with Pooled Least Square method. The results showed that the index of health, education index and the index of purchasing power simultaneously and significant affect on economic growth in Papua province, while the partial test results showed that the index of education and purchasing power index affect economic growth positively and significantly, while the health index has no significant effect on the economic growth of Papua Province.

scholarly journals Pengaruh belanja modal dan penanaman modal dalam negeri terhadap pertumbuhan ekonomi di Kabupaten/Kota Provinsi Jambi

2021 ◽  
Vol 10 (2) ◽  
pp. 123-134
Author(s):  
Haikal Redho Fitrah ◽  
Syaparudin Syaparudin ◽  
Emilia Emilia
Keyword(s):  
Economic Growth ◽  
Capital Expenditure ◽  
Capital Expenditures ◽  
Analysis Tool ◽  
Test Results ◽  
Domestic Investment ◽  
Panel Data Regression ◽  
Data Regression ◽  
Regression Test ◽  
Research Analysis

This study aims to: 1) analyze the development of Capital Expenditure, PMDN and Regency and City Economic Growth in Jambi Province; 2) To find out and analyze the effect of Capital Expenditures and Domestic Investment on the Regency and City Economic Growth in Jambi Province. The research analysis tool uses panel data regression analysis tools. Based on the regression test results, the data of the simultaneous data shows that capital expenditure and PMDN have a significant effect on the economic growth of regencies/cities in Jambi Province. While partially leading the two independent variables, only PMDN affects economic growth in Jambi Province districts/cities, while capital expenditure does not affect economic growth in Jambi Province districts/cities during 2011-2017. Keywords: Capital expenditure, PMDN, Economic growth

scholarly journals Foreign Aid, Corruption, Economic Growth Rate and Development Index in Nigeria: The ARDL Approach

2020 ◽  
Vol 11 (5) ◽  
pp. 348
Author(s):  
Amenawo Ikpa Offiong ◽  
Glory Sunday Etim ◽  
Rebecca Oliver Enuoh ◽  
Stephen Ekpo Nkamare ◽  
Godwin Bassey James
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Foreign Aid ◽  
Human Development ◽  
Human Development Index ◽  
Positive Impact ◽  
Economic Growth Rate ◽  
Development Index ◽  
Ex Post ◽  
Negative Effect

Foreign aid when properly utilized is expected to grow the economy of the receiving nation. Over the years Nigeria has benefitted from foreign aid inflows in a bid to stabilize its economy and build its infrastructure. This study desires to look into how the various foreign aid components (humanitarian aids, project aids and programme aids) have impacted the Nigerian economic growth rate and human development index giving the prevailing corruption index in the country as a moderating variable. Ex-post facto research design was adopted and data obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin from 1990 to 2019. The study adopted autoregressive distributive lag (ARDL) techniques. It was revealed that as a result of the corruption perception index, there was a significant negative effect of foreign aid on the growth rate of Nigeria economy in the long run, while having a significant positive impact on human development index as well. In short run, foreign aids had a significant positive effect on the growth rate of the Nigerian economy, but an insignificant negative effect on human development index. However, government is encouraged to ensure that foreign aid is effectively channeled into agriculture, health, education and other productive areas.

scholarly journals DAF Determinants Affecting Economic Growth – Evidence for Western Balkans Countries

2020 ◽  
Vol 9 (1) ◽  
pp. 36-46
Author(s):  
Esat Ali Durguti ◽  
Emine GASHI ◽  
Filloreta Demiri Kunoviku ◽  
Milaim Mehmeti
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Inflation Rate ◽  
Secondary Data ◽  
Gdp Growth ◽  
Western Balkans ◽  
Economic Growth Rate

The purpose of this paper is to find out if selected determinants have any effect on the economic growth rate using the strong balanced panel data for the Western Balkan countries for the period 2001-2017, and the data used are on an annual basis, which in total there are 102 observation periods. For the realization of the paper, secondary data and an advanced dynamic approach were used, such as pooled OLS methods, fixed and random effects model, to test economic growth rate as dependent variable, and explanatory variables such as working remittances to GDP, exports to GDP, imports to GDP, foreign direct investment to GDP and inflation rate.  From the generated outputs, it is true to say that working remittances to GDP, exports to GDP, and imports to GDP have an effect that influences economic growth, respectively GDP growth. Even though foreign direct investment to GDP and inflation rate does not have a significant effect on economic growth, respectively GDP growth.   Keywords: Economic growth; macroeconomic determinants; panel data. JEL code: O47, O11, C23  

scholarly journals IMPACT OF ROAD INFRASTRUCTURE, EDUCATION, HEALTH AND FOREIGN DIRECT INVESTMENT TOWARDS INDONESIA’S ECONOMIC GROWTH: LEVEL OF 33 PROVINCES

2019 ◽  
Vol 3 (02) ◽  
pp. 35
Author(s):  
Muryani Muryani ◽  
Agna Amalia
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Regression Method ◽  
Regression Estimation ◽  
Road Infrastructure ◽  
Economy Growth ◽  
Panel Data Regression ◽  
Data Regression

<p><em>Economic growth is the most important factor to gain successful long-term development. The economy growth factors are road infrastructure, education, health, and foreign direct investment. This study analyzes the influence of road infrastructure, education, health and foreign direct investment on economic growth of 33 provinces in Indonesia in 2010-2016. This study uses panel data regression method and uses STATA 14 software. The regression estimation results showed that simultaneously road infrastructure, education, health, and foreign direct investment had an effect on economic growth of 33 provinces in Indonesia, while partially (individually) foreign direct investment doesn’t have significant effect.</em><em></em></p><pre><strong><em>JEL Classdification: </em></strong><em>H51, H52, H54</em></pre><pre><strong><em>Keywords</em></strong><strong><em>: </em></strong><em>Economic Growth, Education, Foreign Direct Investment, Health, Road Infrastructure</em></pre>

scholarly journals MODEL EKONOMETRI DATA PANEL PERTUMBUHAN EKONOMI DAERAH DI INDONESIA TAHUN 2014-2018

2021 ◽  
Vol 5 (2) ◽  
pp. 369-381
Author(s):  
Zana Chobhita Aris Tusa ◽  
Aris Soelistyo ◽  
Muhammad Sri Wahyudi Suliswanto ◽  
Muhammad Khoirul Fuddin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Investment ◽  
Quantitative Methods ◽  
Total Population ◽  
Domestic Investment ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression ◽  
Data Collection Technique

This purpose of this study was to determine domestic investment, foreign investment, and total population of economic growth, namely Gross Regional Domestic Product in 34 provinces in Indonesia in 2014-2018. This research uses quantitative methods. The type of data used is secondary obtained from the Central Statistics Agency which is ready for processing.The data collection technique used is the documentation method. The analysis technique used is panel data regression. The results of this study indicate that each variable has a positive and significant effect on economic growth. Namely Foreign Investment, Domestic Investment, and Total Population which have a positive and significant effect on economic growth.  

scholarly journals Nexus of Foreign Direct Investment, Domestic Investment, and Manufacturing Industry Value Added in Indonesia

2019 ◽  
Vol 8 (1) ◽  
pp. 1-8
Author(s):  
Horas Djulius ◽  
Choi Wongyu ◽  
J. Juanim ◽  
Raeni Dwi Santy
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Value Added ◽  
Domestic Investment ◽  
Panel Data Regression ◽  
Data Regression ◽  
Comparison Results ◽  
Industrial Samples ◽  
Capital Intensive

The development of the manufacturing industry is one of the standards for Indonesia's development as a developing country. Domestic investment (DI) and foreign direct investment (FDI) can meet investment needs in this industry. This paper focuses on the nexus of the two types of investment in meeting investment needs in the manufacturing industry and the influence of those investments in relatively capital-intensive and relatively labor-intensive industrial groups. The aim is to evaluate the role of both types of investments and their benefits to the economy not only to the value-added but also in transferring technology and knowledge spillover from FDI to DI. The panel data regression was first to do to observe the differences between groups of relatively capital-intensive industrial samples and relatively labor-intensive industrial samples. The comparison results show that there are significant differences between the two industry groups so that it can be regressed on these two sample types, apart from the regression of the overall sample. The overall sample found that both FDI and DI influence the value-added of the manufacturing industry. 

scholarly journals ANALISIS PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT PENGANGGURAN DI PROVINSI JAWA TIMUR TAHUN 2008-2014

2014 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Muhammad Nurcholis
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Analysis Model ◽  
Development Index ◽  
Panel Data Regression ◽  
Data Regression

In this study, the expected goal is to determine the distribution, classification and influence economic growth, minimum wage, and the Human Development Index of the level of unemployment in East Java Province 2008-2012. This research uses descriptive quantitative research methods. Data analysis in accordance with the formulation of the problem and the purpose of the study is using panel data regression analysis model and using the classification of the intensity and GIS. Based on panel data regression results show that perumbuhan economy, the minimum wage and the human development index have a significant effect on the unemployment rate. Variable economic growth and the negative effect of minimum wages, while the human development index positive effect. As for testing the F calculation, economic growth, the minimum wage and the human development index have a significant effect on the unemployment rate.

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