scholarly journals The impact of human capital on the economic growth of Vietnam’s cities and provinces: a spatial econometrics approach

2020 ◽  
Vol 4 (1) ◽  
pp. First
Author(s):  
Nguyen Van Si ◽  
Le Trung Kien
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Spatial Econometrics ◽  
Positive Impact ◽  
Spatial Econometric ◽  
Investment Capital ◽  
Total Investment ◽  
Per Capita ◽  
The Impact

Human capital is crucial for national economic growth and for local economic growth as well. In an attempt to investigate the effect of human capital on the economic growth in Vietnam’s cities and provinces, the author adopts spatial econometric models of SDM, SAR, SEM for panel data. Human capital is measured by regular expenditure on education and numbers of trained labors in each province/city. The data used in this study is obtained from the Statistical Yearbook of 63 provinces published by the General Statistics Office in the period of 2010 - 2017. The results show that the SDM model for panel data is more suitable than the SAR, SEM models for research data. Moreover, the gross output per capita of a province/city is not only affected by its regular expenditure on education but also by that of neighboring provinces/cities. GDP per capital of a province/city is also affected by the GDP of its neighboring provinces/cities. In addition, control variables such as total investment capital, population size, provincial competitiveness index of local or neighboring provinces also exert a positive impact on the GDP per capita of a province/city. The influence of trained labor on the economic growth of a province/city has not been found.

scholarly journals Human Capital and Regional Economic Growth in Russia

2021 ◽  
Vol 17 (2) ◽  
pp. 57-80
Author(s):  
Boris Alekhin
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Capital Accumulation ◽  
Positive Impact ◽  
Regional Economic Growth ◽  
Human Capital Accumulation ◽  
Regional Economic ◽  
Long Run ◽  
Per Capita

This study examines the contribution of human capital accumulation to regional economic growth using panel data for 82 subjects of the Russian Federation over 2002–2019. This paper aims to test the hypothesis that in the long-run equilibrium there exists a connection between economic growth and human capital accumulation in the regions of Russia. From the point of view of econometrics, it would mean that we should refute the hypothesis that there is no cointegration of time series describing the aforementioned variables. General theoretical framework was drawn from the neoclassical growth theory, and panel data econometrics suggested the appropriate empirical methodology. Pooled mean group and fully modified least squares estimators were applied to an autoregressive distributed lags model based on the Solow model. The results indicate that accumulation of human capital has a positive and statistically significant long-term impact on the rate of growth of per capita income and that these variables are cointegrated. Such calculations allow us to make the following conclusions: per capita GRP is cointegrated with physical and human capital on the regional level. The cointegrating equation ‘explained’ more than 90% of per capita GRP variance. Human capital accumulation had a significant positive impact on per capita GRP growth in the long run; such impact exceeded the impact of physical capital accumulation. The positive impact of human capital accumulation on per capita GRP growth surpassed the negative elasticity of growth GRP by the amount of resource excluded from the real sector to provide support to students and maintain the regional education system. The paces at which regional economies were heading towards the steady state differed which is an evidence that there exist an incredible manifold of ways and means for regions to adjust to disbalancies

scholarly journals Impact of unemployment and income on entrepreneurship in post-apartheid South Africa: 1994–2015

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Darma Mahadea ◽  
Irrshad Kaseeram
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Employment Growth ◽  
Positive Impact ◽  
Early Stage ◽  
National Development ◽  
Entrepreneurial Activity ◽  
Per Capita Gdp ◽  
Per Capita ◽  
The Impact

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.

scholarly journals The impact of health care financing on the economic growth: EU countries analysis

2020 ◽  
Vol 1 (2) ◽  
pp. 24-32
Author(s):  
Anastasiia Samoilikova ◽  
Rosen Kunev
Keyword(s):  
Economic Growth ◽  
Health Care ◽  
Software Package ◽  
Positive Impact ◽  
Statistical Significance ◽  
Health Care Financing ◽  
Eu Countries ◽  
Per Capita ◽  
The Impact ◽  
The Eu

This article generalized modern tendencies and actual peculiarities of health care financing. The key aim of the research is to investigate the dynamics of health care financing as a factor of economic growth based on EU countries analysis. Systematization information sources connected with health care financing and its structure indicate that the EU countries analysis of dynamics of health care financing and its impact on economic growth was conducted fragmentary. This issue is still actual both for scholars and policymakers, especially for Ukraine, based on European trends. Investigation in the article is made according to the following stages: 1) introduction and relevance grounding; 2) literary review and identifying the necessity of research in this scientific area; 3) describing methodology, research methods, and current hypothesis; 4) characteristic of research results and confirming the hypothesis of the positive impact of the health care financing on economic growth; 5) making conclusions. Methodological tools of the research methods were structural and comparative analysis, logical generalization, and scientific abstraction. The methods of cross-country statistical and analytical analysis using the Excel 2010 software package for the sample from 14 EU countries for 2009-2018 (limited number of countries and limited data in 2018 relate to the data availability on open website of the EU statistical office) were applied to analyse the structure of health care financing, in particular financing schemes, main providers, and health care functions. The top countries in health care financing were identified. The methods of empirical analysis using the STATA software package for this data sample were used to confirm the hypothesis about the positive impact of the health care financing on economic growth – the GDP per capita. The nature of the analysed indices distribution was estimated based on results of Shapiro-Wilk test. So, Pearson or Spearman correlation coefficient was chosen. The statistical significance and strength of the relationship between the indicators of total expenditure for health care, and in particular government financing and compulsory contributory health care financing, voluntary health care financing, and household out-of-pocket payment for health care and the change of GDP per capita were assessed through a correlation analysis. The time lags of achievement the most statistical significance by this relationship was also identified. The results of the research show that the impact of health care financing on the change of economic growth is very high in 12 from 14 investigated EU countries (with lags of 1–3 years) and high in 2 from 14 countries (with a lag of 1 year). The character of this relationship for the most countries (9 from 14 countries) is direct (positive), and for 5 countries it is inverse (negative). The results of the research will be useful during future fundamental and practical research connected with health care financing and its modelling, for scholars and government officials to reform the health care system and its financial mechanism.

scholarly journals Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2019 ◽  
Vol 16 (16) ◽  
pp. 2871 ◽  
Author(s):  
Shi Wang ◽  
Yizhou Yuan ◽  
Hua Wang
Keyword(s):  
Panel Data ◽  
Environmental Pollution ◽  
Environmental Quality ◽  
Spatial Econometrics ◽  
Interaction Effect ◽  
Spatial Econometric ◽  
Hidden Economy ◽  
Pollutant Discharge ◽  
And Control ◽  
The Impact

Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly.

INSTITUTIONS, INVESTMENT AND ECONOMIC GROWTH: A CROSS-COUNTRY AND PANEL DATA STUDY

2015 ◽  
Vol 60 (04) ◽  
pp. 1550061 ◽  
Author(s):  
SAMIA NASREEN ◽  
SOFIA ANWAR ◽  
MASOOD QADIR WAQAR
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Capital Investment ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Civil Liberties ◽  
Human Capital Investment ◽  
Important Relationship ◽  
Cross Country

In this study, both cross-country and panel techniques have been used to analyze the long-term impact of institutions on investment and economic growth in the context of neoclassical model. The empirical results indicate that both physical and human capital investment have positive impact on economic growth. Economic freedom has a direct impact on economic growth by enhancing factor productivity and indirect by increasing investment. Political and civil liberties also exert positive impact on investment. Further, an important relationship exists between institutional freedom and human capital investment in both cross-country and panel data analysis.

scholarly journals Human Capital and Economic Growth in OECD Countries

2006 ◽  
Vol 226 (6) ◽  
Author(s):  
Torge Middendorf
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Student Performance ◽  
Capital Stock ◽  
International Student ◽  
Positive Impact ◽  
Large Country ◽  
Panel Data Estimation ◽  
The Impact ◽  
Instrumental Variables Approach

SummaryRecent studies on international student performance renewed the interest in the contribution of human capital to economic growth. So far the exploration of large country comparisons delivered rather mixed results. Concentrating on OECD member countries, this paper uses panel data estimation techniques to refine this analysis. Furthermore, as theory differs about the right measure of human capital, the impact of the human capital stock as well as its rate of accumulation on economic growth is analyzed. Yet estimation results reveal only a positive impact of the human capital stock on economic growth suggesting that an increase in average schooling years by one year yields a rise in the GDP growth rate of about 0.5 percentage points. However, when taking possible endogeneity into account in an instrumental variables approach, these conclusions on the impact of the level of human capital on economic growth is demonstrated to be rather fragile.

Spatial Econometric Analysis of Urban and County-level Economic Growth Convergence in China

2016 ◽  
Vol 41 (4) ◽  
pp. 410-447 ◽  
Author(s):  
Guangdong Li ◽  
Chuanglin Fang
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Population Growth ◽  
Convergence Rates ◽  
Spatial Econometric ◽  
Cross Sectional ◽  
Growth Convergence ◽  
Savings Rate ◽  
Spatial Panel Data

Economic growth convergence, one of the classical assumption in regional economic growth, has been perplexing. There are many empirical studies trying to test if there is regional convergence in China. In this article, we bring new information of the finer spatial scale to the existing literature by using neoclassical convergence analysis, cross-sectional specifications, panel data models, and spatial econometric techniques to test the convergence hypothesis across 2,286 cities and counties in China. Empirical findings from cross-sectional data and spatial panel data show that significant absolute β and conditional β convergence are present in gross domestic product per capita after controlling for investment return rate, human capital, savings rate, population growth, technology advancement, capital depreciation rate, and initial technology level. We also find spatial agglomeration in urban and county economic growth is strong, and spatial effects are significant. Urban and county economic growth convergence rates for 1992–2010 show a gradually accelerated development trend. We present significant evidence that levels of investment, human capital, and initial technology impose significant facilitating effects on city and county economic growth, while savings and population growth have significant negative effects. And city and county economic growth differ in terms of convergence levels and influential factors.

scholarly journals GLOBALIZATION AND ITS IMPACT ON ECONOMIC GROWTH: EVIDENCE FROM ASEAN COUNTRIES

TRIKONOMIKA ◽  
2020 ◽  
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Positive Impact ◽  
Economic Globalization ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Brunei Darussalam ◽  
Per Capita ◽  
Asean Countries ◽  
The Impact

This study investigates the impact of globalization toward economic growth in ASEAN countries during 2012 to 2017. The research method used judgmental sampling with samples of 11 countries. They were Brunei Darussalam, Cambodia, East Timor, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The analysis used path analysis to examine the impact between the variables of globalization and economic growth. Globalization was determined by globalization index, economic globalization, social globalization, and politic globalization. Real Gross Domestic Product (GDP) and Gross Domestic Product (GDP) per capita are used as a proxy for economic growth. The finding results are that globalization index, economic globalization, social globalization, and politic globalization have a significant positive association with Gross Domestic Product (GDP) and Gross Domestic Product (GDP) per capita. Overall globalization evidence the positive impact on economic growth in ASEAN Countries.

scholarly journals The Relationship between Competitiveness and Economic Growth: A Panel Data Analysis on Selected Countries

2015 ◽  
Author(s):  
Ziya Çağlar Yurttançıkmaz ◽  
Ömer Selçuk Emsen ◽  
Ahmet Fatih Aydemir ◽  
Ahmet Alkan Çelik
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Sustainable Growth ◽  
International Institute ◽  
Data Set ◽  
Business World ◽  
The Impact

As economic growth is very important for the development of individuals and the society, the importance of capital stocks and labor force for the economic growth of countries cannot be neglected. Additionally, the human capital component and especially the role of competitiveness increases on the growth process have been extensively discussed over the last two decades. This paper examines the impact of competitiveness increases on economic growth of selected middle-income countries including Turkey for the period of 1997-2012 using a balanced panel data analysis, which was relatively less studied in the literature. According to analysis results, an increase on the competitiveness index of countries in the panel, which were obtained from the data set of the International Institute for Management Development (IMD), positively increases per capita income level. This result may be interpreted as several factors that increase competitiveness including infrastructure, economic structure, business world and regulations and investments that ensure public efficiency may have a positive impact on economic growth. Therefore, this study suggests that future policies that concentrate on extensive growth instead of intensive dimension may contribute to efficient and sustainable growth.

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