Human Capital Relation with Welfare in Indonesia and Asean Countries

Wibowo, Muhammad Ghafur

doi:10.15294/edaj.v8i1.28730

Cited by 7 publications

(9 citation statements)

References 3 publications

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“…Health is one of the building blocks of the concept of quality of life or human standard of living so that it becomes the main feature in human development. Wibowo (2019) research on human capital also states that life expectancy is very influential in development. Countries with low life expectancy reflect low human development so that it affects the welfare of the people in it.…”

Section: Empirical Analysis Resultsmentioning

confidence: 99%

Factors Affecting Inter-Regional Human Development Index in Jambi Province

Rohmah¹,

Suratno

Kuswanto

et al. 2022

JEP

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This study aims to analyze the factors that affect the human development index between regions of Jambi Province for the 2010-2020 period. The measured factors are health, education, and economy. Health factors are measured by life expectancy. The education factor has proxy the length of school expectation and average length of schooling. The economy can be measured by expenditure per capita. The type of data in this study is secondary data, namely data obtained and collected indirectly from the object under study. The objects of this research are 9 districts and 2 cities in Jambi Province for the period 2010-2020 from the official portal of the Central Statistics Agency (BPS) Jambi Province. Data analysis through panel data regression. The finding of this study shows that life expectancy, length of school expectation, and expenditure per capita has positive effect on HDI among regions in Jambi Province. The findings can be used as material for consideration to identify various obstacles/problems faced by a particular area that has a high or low human index. After that, the government can make policies to increase one or more human development index factors that show a decline.

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Section: Empirical Analysis Resultsmentioning

confidence: 99%

Factors Affecting Inter-Regional Human Development Index in Jambi Province

Rohmah¹,

Suratno

Kuswanto

et al. 2022

JEP

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“…However, they are different in their aggregate output, investment, and human capital variables. Some studies prefer to approach aggregate output by Gross Regional Domestic Product (GRDP) at a constant price (Mendez, 2020 (Anwar, 2017(Anwar, , 2018Kustanto, 2020;Wibowo, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Combining aggregate production function and technical efficiency: Indonesian case study

Riyardi

Fahmy-Abdullah

Hasmarini

et al. 2022

Problems and Perspectives in Management

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Besides frontiers and Data Enveloped Analysis approaches, a combination between the aggregate production function and technical efficiency can be performed using the Corrected Ordinary Least Square approach. Unfortunately, there are no studies in Indonesia that use this approach. This paper mainly studies how the Corrected Ordinary Least Square approach combines aggregate production function and technical efficiency. The methods are aggregate production function modeling, aggregate production function correcting, and technical efficiency measuring. The data are Gross Regional Domestic Product at a constant price, the number of workers, investment expenditure, education, and health data of Indonesian provinces from 2015 to 2020. There are three results. First, the Indonesian fixed effect panel data aggregate production function is the best model. In this model, Gross Regional Domestic Product at a constant price is influenced by the number of workers, investment expenditure, and human capital. Human capital consists of education and health level. Second, the deterministic frontier aggregate production function shifts the best-fixed effect model so that the constant becomes –15.36. Third, the Indonesian technical efficiency when no factors influence inefficiency is on average 0.9936. All the results indicate that human capital, aggregate production and technical efficiency combination, and the Corrected Ordinary Least Square approach are practical values.

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“…East and Southeast Asia gain tremendous economic and political benefits in terms of economic geopolitics (GPE) (Glassman, 2011(Glassman, , 2018Desai et al, 2015;Hong, 2016). In frame of GPE, human capital relation (Wibowo, 2019), road infrastructure, and FDI affect the economic growth (Kurniawan and Nihayah, 2021). In addition, GPE with regard to economic growth attain through an export-driven strategy that focuses on Southeast Asian countries (Nayar, 2007).…”

Section: Introductionmentioning

confidence: 99%

Are Geopolitical, Economy, and Social Affecting Unemployments? Evidence From ASEAN-5

Hatmaja

Fuddin

2023

EDAJ

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East and Southeast Asia gain tremendous economic and political advantages in terms of economic geopolitics (GPE). However, the impact that emerged in the GPE was further exacerbated by the emergence of the covid pandemic, "one belt, one road" in the global economic and geopolitical recession, which caused figures to soar in several ASEAN countries which is one of the challenges related to economic development. This study used the Vector Error Correction Model (VECM) based on de jure an d de facto KOFGI panel data in ASEAN-5 from 1991-2019 to explore the short and long-term relationship between geopolitical, economic, and social factors on the unemployment rate. The results of this study reveal that the four variables have two co-integration relationships: especially in the long term, economic factors harm the unemployment, meanwhile, social and political factors have not provided a conducive influence to maintain the unemployment impact, and they promote no mutual mechanism benefit. The findings also show a negative correlation between political factors and an increase in de facto unemployment. It indicates that the political environment impacts a decrease in social and economic variables. Furthermore, the shock of the loss of de jure economic stability has adverse social and political interactions, thereby increasing the unemployment rate. This due to the critical role of economic stability to reduce the unemployment in ASEAN-5 countries.

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Human Capital Relation with Welfare in Indonesia and Asean Countries

Cited by 7 publications

References 3 publications

Factors Affecting Inter-Regional Human Development Index in Jambi Province

Factors Affecting Inter-Regional Human Development Index in Jambi Province

Combining aggregate production function and technical efficiency: Indonesian case study

Are Geopolitical, Economy, and Social Affecting Unemployments? Evidence From ASEAN-5

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