scholarly journals Looking for the right human capital proxy

2010 ◽  
Vol 10 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Rudolf Kubík
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Regression Analyses ◽  
Educational Structure ◽  
Original Dataset ◽  
Panel Data Regression ◽  
Data Regression ◽  
Structure Of Population ◽  
Human Capital Measurement ◽  
The Right

Looking for the right human capital proxy This paper aims to test different approaches of human capital stock approximation. It faces one of the main questions in explaining link between human capital and economic growth. It tries to step forward in answering what is the best proxy of human capital. It starts from Barro & Lee and Cohen & Soto datasets which are expanded by Mincerian approach to human capital measurement and educational structure of population as a human capital proxy. The original dataset covering 73 countries within 1960-1990 is being re-tested and results from panel data regression analyses are compared with expanded dataset.

scholarly journals The impact of human capital on economic growth in EU-28: a Panel Data perspective

2019 ◽  
Vol 1 (1) ◽  
pp. 398-406
Author(s):  
Elena-Maria Prada ◽  
Smaranda Cimpoeru
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Time Span ◽  
Annual Growth Rate ◽  
Panel Data Regression ◽  
Data Regression ◽  
European Union Countries ◽  
Education Levels ◽  
The Impact

Abstract This paper investigates the influence of education and human capital on economic growth in European Union countries before Brexit, for a time span of 14 years in the period 2003 - 2016. A panel data regression model was applied taking into account the impact of human capital on the economic growth from the perspective of education levels and human capital movement. Therefore human capital is described by the variables number of researchers, youth not in education, employment or training, the migration changing rates and the labor force for three different education levels (basic, intermediate and advanced). The dependent variable used in the paper as a measurement of economic growth was considered annual growth rate of Gross Domestic Product. The results show that the hypothesis of the importance and impact of human capital on economic growth is supported.

HUMAN RESOURCES DEVELOPMENT OF REPUBLIC OF CROATIA AND PRIMORSKOGORANSKA COUNTY AND THEIR INFLUENCE ON ECONOMIC GROWTH∗

2009 ◽  
Vol 15 (1) ◽  
pp. 13-24
Author(s):  
Nada Karaman Aksentijevic ◽  
Zoran Jezic
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Human Resources ◽  
Gdp Per Capita ◽  
Human Resources Development ◽  
Regression Analyses ◽  
Theoretical Part ◽  
Educational Structures ◽  
Indirect Indicator ◽  
Per Capita

In the theoretical part of research authors will establish connections and diversities between human capital and human resources categories. In the empirical part of research, via HDI, it will be evaluated the development of human resources in Republic Of Croatia and in Primorsko-goranska County and in will be evaluated relation between HDI and GDP per capita of Croatia and in Primorsko-goranska County. Authors will also analyze how much development of human resources has contributed to the economic growth of Republic Of Croatia. In order to demonstrate this it will be measured influence of investment, employment and educational structures (the indirect indicator of development of human resources) on the growth of GDP in the period of 1997-2005 with usage of regression analyses.

scholarly journals Islamic Bank Financing and Its Effects on Economic Growth: A Cross Province Analysis

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Muhammad Anif Afandi ◽  
Muhammad Amin
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Islamic Banking ◽  
Fixed Effects Model ◽  
Islamic Bank ◽  
Bank Financing ◽  
Panel Data Regression ◽  
Data Regression ◽  
Almost All

Islamic banking industry shows a reasonably good development, one of which is marked by an increase in service coverage in almost all provinces in Indonesia. However, the question is how far Islamic banking capable of contributing to the improvement of Indonesia's economic growth? The purpose of this research is to examine the role of Islamic banking in promoting inclusive economic growth with a sample of 33 provinces in Indonesia. The method used in this research is panel data regression using the fixed effects model. The results show that Islamic bank financing does not have an impact on Indonesia's economic growth. In other words, the results of the research provide information that the existence of Islamic banking in Indonesia has not yet give a significant impact on the welfare of Indonesian society

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI OKI

2020 ◽  
Vol 7 (6) ◽  
pp. 1128
Author(s):  
Wheni Yeisa ◽  
Lina Nugraha Rani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
International Trade ◽  
Panel Data ◽  
Labour Force ◽  
Estimation Model ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Estimation

Economic growth is an indicator that plays an important role in determining the prosperity of a country. This study aims to analyze the effect of labour force, international trade, and inflation towards economic growth in OIC countries over the period 2007 to 2018. Panel data regression analysis approach was adopted to analyze the effect of independent variables on the dependent variable. The results of the fixed effect estimation model found that all variables simultaneously had a significant effect on economic growth. Partially, labour force and internasional trade have a significant effect, while inflation has no significant effect on economic growth. The results of this study can be used as a reference and evaluation materials for policy makers.Keywords: Labour Force, International Trade, Inflation, Economic Growth, Organizations of Islamic Cooperation

M&A vs. Greenfield

2018 ◽  
pp. 169-185
Author(s):  
Sana Moid
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Mergers And Acquisitions ◽  
Empirical Evidence ◽  
International Market ◽  
Time Effect ◽  
Entry Modes ◽  
Host Countries ◽  
Bidirectional Relationship ◽  
The Right

The chapter has raised two critically important questions. First, is the M&A boom a one-time effect of privatization, or is it likely to be followed by a rise in Greenfield investment? Second, do these two types of FDI mode have different macroeconomic consequences in terms of aggregate investment and growth? The main purpose of this chapter is to analyze the two entry modes, mergers and acquisitions and Greenfield investment, specifically, and to present a comparative view of the same and how it leads to the economic growth of a nation. It is concluded that one should choose the right mode according to the different situation about the firms in the international market. The present chapter also concludes that Greenfields and M&As do have a positive homogenous effect on growth. Additionally, the enhancement of human capital is an important condition for the host countries to derive the maximum benefits from Greenfields and M&As. Also, there is empirical evidence of a two-way linkage between FDI and growth. However, the bidirectional relationship exists only for the M&A's growth nexus.

Institutional development, transaction costs and economic growth: evidence from a cross-country investigation

2015 ◽  
Vol 12 (1) ◽  
pp. 129-159 ◽  
Author(s):  
MITJA KOVAČ ◽  
ROK SPRUK
Keyword(s):  
Economic Growth ◽  
Transaction Costs ◽  
Economic Performance ◽  
Model Calibration ◽  
Institutional Development ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Cross Country ◽  
The Impact

Abstract:This paper seeks to quantify the impact of transaction costs on cross-country economic growth. Our evidence from a cross-country panel data regression analysis reveals a persistent and robust negative effect of increasing transaction costs on the path of economic growth. The growth-enhancing effects of lower transaction costs are confirmed after controlling for the set of conditioning variables and further demonstrated in a cross-country growth model calibration. The results provide evidence that transaction costs might indeed be central to the study of cross-country productivity differences, suggest the importance of contractual relations and indicate their significant impact on cross-country economic performance over time.

scholarly journals Analysis of Superior Commodities in Agricultural Sector in Some Districts of North Sumatera Province

2020 ◽  
Vol 3 (2) ◽  
pp. 1054-1066
Author(s):  
Nela Permata Sari Lubis ◽  
Eko Wahyu Nugrahadi ◽  
M. Yusuf
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Endogenous Development ◽  
Location Quotient ◽  
Regional Economic ◽  
Economic Output ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
North Sumatra

Realization of regional economic development requires policies that are endogenous development. Each region has a base sector as the main driving force in economic growth. The base sector must have resilience between other sectors and have a high contribution to the formation of total regional economic output. North Sumatra is one of the provinces in Indonesia which has a tendency towards economic structure in the agricultural sector. Viewed from the field of business, the agricultural sector provides the highest contribution in the formation of GRDP. North Sumatra has 25 districts with a variety of geographical conditions having varied natural resources that need to be intensified and explored. The purpose of this study is to analyze the leading commodities of the agricultural sector and find out how much the impact of the leading sector on the growth of North Sumatra GRDP in the period 2014 - 2018. The method of analysis in this study uses the Location Quotient (LQ) analysis, Revelead Comparative Advantage (RCA) analysis, and Panel Data Regression Analysis. The estimation results show that the agriculture, livestock, hunting and services sub-sectors, the forestry sub-sector and the fisheries sub-sector have a positive and significant effect on the economic growth of the province of North Sumatra. The economic growth variables can be explained by 89 percent by the variables of the agriculture, livestock, hunting and service subsectors, the forestry subsector and the fisheries subsector while the rest are explained by variables not included in this study.

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 Analysis of the Effect of Increasing the GDP of Central Java Province Through Infrastructure Development

2021 ◽  
Vol 1 (6) ◽  
pp. 409-415
Author(s):  
Desy Rinika ◽  
Jeffri Winardy ◽  
Jerly Engelina ◽  
Arvin Clarence
Keyword(s):  
Economic Growth ◽  
Public Schools ◽  
Secondary Data ◽  
Analytical Tool ◽  
Infrastructure Development ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression ◽  
Main Driver ◽  
Effect Method

Infrastructure can be said to be the main driver for the growth of economic activity in every country in the world, therefore the importance of infrastructure cannot be underestimated. However, infrastructure development for Central Java is considered to be still in its early stages and as such, inadequate infrastructure could seriously hamper the economy. This study aims to investigate the effect that an increase in GDP has on infrastructure growth through data collected from various sources. The methodology used to analyze and review the information generated by the data is a quantitative method. The data used is secondary data on infrastructure in 35 districts in Central Java from 2010 to 2020. The analytical tool used in this study is panel data regression using the fixed effect method. Indicators to determine the progress of the national economy can be seen from the values seen in various GRDP in Indonesia. The results of this study conclude that the COVID-19 pandemic has affected several things, one of which is the country's economic growth. Planned infrastructure development can bring growth to the economy of a region as in the example shown above. Infrastructure development is one of the supporting factors to increase economic growth in a region. The development can be in the form of the establishment of hospitals, transportation facilities, public schools and other.

scholarly journals Pengaruh ketimpangan pendapatan dan kemiskinan terhadap pertumbuhan ekonomi antar pulau di Indonesia

2019 ◽  
Vol 14 (2) ◽  
pp. 55-66
Author(s):  
Selamet Rahmadi ◽  
Parmadi Parmadi
Keyword(s):  
Economic Growth ◽  
Fixed Effect Model ◽  
Model Estimation ◽  
Estimation Model ◽  
Hausman Test ◽  
Pooled Data ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Estimation Models

This study aims to find out and analyze the effect of income inequality and poverty on economic growth on each island in Indonesia. To answer these objectives, panel data regression (pooled data) is used. The results of the study show: (1). the best regressions on estimation models are based on the Chow and the Hausman test using the Fixed Effect Model estimation model for each island in Indonesia. (2). Income and poverty inequality negatively affected economic growth in all islands in Indonesia during the 2015-2018.

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