Labor force and economic growth based on demographic pressures, happiness, and human development

Wijaya, Adi; Kasuma, Jati; Tasențe, Tănase; Darma, Dio Caisar

doi:10.15549/jeecar.v8i1.571

Cited by 29 publications

(24 citation statements)

References 29 publications

(22 reference statements)

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“…This means that this data is a type of panel data that is an amalgamation of cross-section data and time-series data from a set of objects and certain observation times (Zainurossalamia et al, 2021). We designed the study starting by formulating problems based on major phenomena, filtering data according to variables, and presenting them with an empirical analysis model (for example (Suparjo et al, 2021;Wijaya et al, 2021)). We formed the macroeconomic variables into two characters.…”

Section: Methods and Proceduresmentioning

confidence: 99%

Contemporary Indonesian GDP: Context of Analysis at Unemployment, Labor Force and Poor People

Kurniawan¹,

Awaluddin²,

Fitriadi³

et al. 2021

IJEFR

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Indonesia is a developing country that has always prioritized sustainable development. In achieving these development goals, Indonesia needs to achieve economic growth by improving population welfare and increasing income. With the form of panel data from 34 provinces in Indonesia that have unique characteristics, the author presented them during 2015-2019. Through multiple linear regression, this study seeks to discuss the relationship of unemployment, labor force participation rate, and poor people to Indonesia’s GDP growth. These findings suggest that the three macroeconomic variables have a negative impact on GDP. Regarding GDP growth, only unemployment has an actual effect, while others have no significant effect. The implications of the policies pursued by the government are not only paying attention to economic aspects but social problems that are expected to spur economic development.

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Section: Methods and Proceduresmentioning

confidence: 99%

Contemporary Indonesian GDP: Context of Analysis at Unemployment, Labor Force and Poor People

Kurniawan¹,

Awaluddin²,

Fitriadi³

et al. 2021

IJEFR

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show abstract

“…Most studies on the economic and aging problem consensuses that an individual"s physical capacity, preference, and needs are changing in line with age advancement. Hence, inequality of age structure is believed to affect the country"s productivity level (Nagarajan, Teixeira and Silva, 2016;Bloom, Canning, and Fink, 2010;Wijaya, Tasente, Darma and Kasuma, 2021;Huang, Lin, and Lee, 2019). Fink (2010, 2008) detailed this age-based change of an individual.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Hidden Demographics Barriers of the Economic Growth: A Psychometric Approach

Bundala¹

2022

IJBME

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This paper examined the hidden demographic barriers of economic growth. The study used a cross-sectional survey researches design. The primary data were collected by using a psychometric scale from 211 individuals who were randomly sampled from the Mwanza and Kagera regions in Tanzania. The data were linearly analysed by the weighted least squares (WLS) and Analysis weighted- automatic linear modelling (AW-ALM), and non-linearly analysed by Gaussian mixture model (GMM) and neural network analysis (NNA). The study found that the main hidden demographic barrier to economic growth is the negative subjective well-being of an individual’s current age and education level. Moreover, the GMM revealed that there is no significant data or regional clusters or classes in the study population. Furthermore, NNA evidenced the most effective predictor of economic growth is age, followed by education. The study concluded that the most hidden demographic factors that hinder economic growth are negative perceptions of an individual on his/her current age and level of education, not the age maturity, and education level. Operationally or practically, the paper implicates several socio-economical policies, mostly the national aging policy (NAP), the National Education and Training policy (NETP), the National Employment Policy (NEP), and regulations /laws on national social security funds schemes at national, regional and global levels. Therefore, the paper recommended that government and other education stakeholders increase the policy commitment on the mathematics, science, and technology subjects to be compulsory for primary and secondary schools, and the extension of the retirement age from 60 years (voluntary) to 65 years (compulsory)

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“…Labor Force with Advanced Education 𝑦𝑦 5 represents the development of national higher education level. It also represents the high value of labor and efficiency of national production and life [7].…”

Section: Chosen Indicators (5 Dimensions 14 Indicators In Total)mentioning

confidence: 99%

Research on Global Fairness Coefficient Based on AHM-CRITIC-TOPSIS Algorithm

Sun

2022

E3S Web Conf.

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With the signing of treaties for the exploration and utilization of outer space by most countries, mankind has begun to advance the exploitation of asteroid resources. However, due to the large number of countries involved and the limited space and resources of the planets, the issue of fairness in resource exploitation is gradually emerging. Asteroid mining is a typical example. To define global fairness, analyze the national allocation of asteroid mining, with the impact of mining sector changes, and propose mining fairness policies, we construct one model to measure global equity. in order to construct a Global Fairness Coefficient (GFC) and allocate mining resources and space, we collect data of 14 indicators from 5 dimensions of 266 countries, measure the global fairness coefficient of each country based on the AHM-CRITIC-TOPSIS coupled evaluation model, and rank countries by this coefficient. Finally, countries are divided into three categories using hierarchical clustering, and mineral resources are allocated to countries by category. Among them, the United States (0.482), China (0. 452), and Japan (0.414) are the top three countries in the ranking. In conclusion, the global equity coefficient model, linear regression model of planetary mining task allocation, sectoral change impact regression model, and global mining hierarchy analysis model constructed in this paper can provide a better assessment of global equity and provide relevant policy recommendations and decision options.

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Labor force and economic growth based on demographic pressures, happiness, and human development

Cited by 29 publications

References 29 publications

Contemporary Indonesian GDP: Context of Analysis at Unemployment, Labor Force and Poor People

Contemporary Indonesian GDP: Context of Analysis at Unemployment, Labor Force and Poor People

Hidden Demographics Barriers of the Economic Growth: A Psychometric Approach

Research on Global Fairness Coefficient Based on AHM-CRITIC-TOPSIS Algorithm

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