Human capital formation and economic growth across the world: a panel data econometric approach

Ahumada, Víctor Manuel Cuevas; Villarreal, Cuauhtémoc Calderón

doi:10.22136/est20201466

Cited by 3 publications

(3 citation statements)

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“…More investment occurs in areas with a manufacturing and mining economic structure that generates higher added value compared to other sectors. This result is in line with the study of Vidyattama (2014), Dewanta et al (2017), Yulianita et al (2017), andAhumada &Villarreal (2019), which state that investment has a positive effect on regional economic growth. Meanwhile, regions dominated by the manufacturing and mining sectors tend to have high economic growth in Indonesia (Vidyattama, 2014;Diebolt & Hippe, 2019).…”

Section: Lagrange Multiplier (Lm) Test Resultssupporting

confidence: 90%

Human Capital and Regional Economic Growth in Indonesia: A Spatial Analysis Approach

Windhani,

Purwaningsih,

Mulyaningsih

et al. 2023

IJG

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Endogenous growth theory assumes that human capital is a prominent factor in regional economic growth. However, the imbalance of human capital between regions is still a major problem in economic growth in Indonesia. Previous studies on regional economic growth have recognized the importance of considering spatial aspects as a determinant of regional economic growth. The geographical area in the form of an archipelago with a large number of administrative districts and cities produces pros and cons regarding the influence of spatial aspects on the regional growth of urban districts. This study aims to analyze the distribution of human capital using the Alternative Human Development Index (AHDI) approach and the effect of human capital and spatial aspects on the regional economic growth of urban districts in Indonesia within the framework of endogenous growth theory. The research method uses geometric mean to measure the Alternative Human Development Index, Geographic Information System (GIS) to see the distribution of human capital and regional economic growth in Indonesia, and the spatial regression Spatial Autoregressive Moving Average (SARMA) used to analyze the spatial aspects of human capital and regional economic growth in Indonesia. The results show that human capital in Indonesia is still unequal between the western and eastern parts of Indonesia. Human capital and spatial factors have positive effects and are the most influential determinants of Indonesia's regional economic growth, as indicated by the value of the spatial lag weight matrix of the dependent variable (ρ) and the spatial error term (λ) that is positive.

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Section: Lagrange Multiplier (Lm) Test Resultssupporting

confidence: 90%

Human Capital and Regional Economic Growth in Indonesia: A Spatial Analysis Approach

Windhani,

Purwaningsih,

Mulyaningsih

et al. 2023

IJG

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“…, 2021; Nathaniel, 2021; Tahir et al. , 2020; Cuevas Ahumada and Calderón Villarreal, 2019; Pelinescu, 2015). Although the concept of human capital is limited to education (Adejumo et al.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, many scientific studies have suggested the positive effect of human capital on economic growth (e.g. Gruzina et al, 2021;Nathaniel, 2021;Tahir et al, 2020;Cuevas Ahumada and Calder on Villarreal, 2019;Pelinescu, 2015). Although the concept of human capital is limited to education (Adejumo et al, 2021;€ Ozdo gan € Ozbal, 2021;Ranjan, 2020;Burgess, 2016;Adedeji and Campbell, 2013), in the growth literature some are regarding health as another fundamental element of human capital (Hatak and Zhou, 2021;Thinagar et al, 2021;Zhao and Du, 2021;Currie, 2020;Parro and Pohl, 2018;Churchill et al, 2015;Barro, 2013;Bloom et al, 2001;Mushkin, 1962;Schultz, 1961).…”

Section: Introductionmentioning

confidence: 99%

Health expenditures (total, public and private) and per capita income in the BRICS+T: panel bootstrap causality analysis

Canbay

Kırca

2022

JEFAS

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Purpose The study aims to determine whether there is a bidirectional causality relationship between health expenditures and per capita income in Brazil, Russia, India, China, South Africa and Turkey (BRICS+T). Design/methodology/approach For that purpose, the 2000–2018 period data of the variables were tested with the Kónya (2006) panel causality test. Additionally, the causality relationships between public and private health expenditures and per capita income were also investigated in the study. Findings According to the analysis results, there is no statistically significant causality relationship from total health expenditures and public health expenditures to per capita income in the relevant countries. Besides, there is a unidirectional causality relationship from private health expenditures to per capita income only in Turkey. On the other hand, a unidirectional causality relationship from per capita income to total health expenditures in China, Russia, Turkey and South Africa and from per capita income to public health expenditures in India, Russia, Turkey and South Africa were determined. Consequently, a causality relationship from per capita income to private health expenditures was found out in Russia and Turkey. Originality/value The variables are tested for the first time for BRICS+T countries, vis-à-vis the period under consideration and the method used.

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Estrategias de crecimiento económico en México y Corea del Sur, un análisis comparativo

Maldonado

Galán

Villarreal

2023

REMEF

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El objetivo del artículo es medir y comparar como la formación bruta de capital fijo, la educación terciaria y el comercio internacional han determinado el crecimiento económico de México y Corea del Sur. Mediante la estimación de un modelo VEC se identificaron las relaciones de largo y corto plazo entre las variables (periodo 1994 a 2018). Los resultados indican que el crecimiento de Corea del Sur estuvo determinado por la formación bruta de capital y la educación terciaria como lo afirma la teoría del crecimiento endógeno; mientras que la economía mexicana mantuvo un lento crecimiento, consecuencia de los problemas que tuvo el proceso de formación de capital. Una limitante es la dificultad para medir la participación del Estado en el proceso de crecimiento. La originalidad del estudio radica en identificar efectos de corto y largo plazo, asi como la inclusión de variables de orden interno y externo. Se concluye que la respuesta del crecimiento económico es positiva y sostenida en países con mayor acumulación de capital y calidad de la mano de obra, donde la participación del estado es clave.

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Human capital formation and economic growth across the world: a panel data econometric approach

Cited by 3 publications

References 0 publications

Human Capital and Regional Economic Growth in Indonesia: A Spatial Analysis Approach

Human Capital and Regional Economic Growth in Indonesia: A Spatial Analysis Approach

Health expenditures (total, public and private) and per capita income in the BRICS+T: panel bootstrap causality analysis

Estrategias de crecimiento económico en México y Corea del Sur, un análisis comparativo

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