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The Human Development Index (HDI) is a crucial indicator for measuring the success of human development, encompassing the dimensions of education, health, and a decent standard of living. In Bali Province, disparities in the HDI among regencies/municipalities still exist, which may hinder the overall regional economic development. This study aims to analyze the influence of Domestic Investment, Foreign Investment, and Labor both simultaneously and partially on the Human Development Index during the 2016–2023 period. The data used are secondary data obtained from the Central Statistics Agency, comprising 72 observations. The data collection method employed is the observation method, and the analysis technique used is panel data regression. The results show that (1) Domestic Investment, Foreign Investment, and Labor simultaneously have a significant effect on the Human Development Index of Bali Province, and (2) Domestic Investment partially has no significant effect on the Human Development Index of Bali Province, while Foreign Investment and Labor partially have a positive and significant effect on the Human Development Index of Bali Province.

This study explores employment development strategies aimed at bolstering economic growth in North Sumatra Province using the Vector Autoregression (VAR) model and an eighteen-year time series dataset. The variables analyzed include the Human Development Index (HDI), total population, Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR), and Open Unemployment Rate (OUR). The estimation results reveal dynamic interrelationships among these variables over short, medium, and long-term periods. The VAR analysis with a lag of 2 illustrates how each variable contributes to both itself and the other variables. It also shows that past variables (t-1) significantly impact current variables. Furthermore, the response function analysis identifies how a change in one variable is responded to by others across different time horizons. Stability analysis confirms that all variables maintain medium-to-long-term stability over a five-year period. The Forecast Error Variance Decomposition (FEVD) highlights HDI, population, and GRDP as the most influential variables in shaping the employment system and economic development overall. The VAR model used meets the stability test criteria, making the findings a reliable basis for policy research.

This study aims to analyze the effect of unemployment rate and health on the Human Development Index (HDI) in Lampung. This study uses a quantitative method with multiple regression analysis to test the effect of independent variables (unemployment rate and health) on the dependent variable (HDI). The results of the study indicate that the unemployment rate has a significant positive effect on the HDI, where an increase in unemployment has the potential to increase the HDI figure. On the other hand, the health variable does not show a significant effect on the HDI, indicating that although the health program is running, other factors such as the economy and education are more dominant in determining the HDI. Simultaneously, unemployment and health contribute to changes in the HDI, but the dominance of unemployment appears stronger.

This study investigates the influence of Provincial Minimum Wage (PMW), Labor Force Participation Rate (LFPR), and Population Growth Rate (PGR) on Employment Opportunities (EO) across 20 most populous provinces in Indonesia from 2017 to 2024. Using a quantitative approach and panel data sourced from the Central Statistics Agency, the analysis applies the Fixed Effect Model selected through Chow and Hausman tests. The Outcomes indicate that PMW has a significant negative effect on EO, implying that wage increases without corresponding productivity growth can reduce job absorption. Conversely, LFPR has a significant positive effect, reflecting that a higher labor force engagement boosts employment. PGR has a negative but statistically insignificant effect. The F-test confirms that all three variables jointly influence EO. These results highlight the need to harmonize wage regulations, human capital development (HDI), and population planning to support inclusive and sustainable employment in regions experiencing high demographic pressures.

This article examines the impact of poverty and unemployment on the Human Development Index (HDI) in the West Java region. Poverty and unemployment are two key factors that play a role in reducing people's quality of life. This research utilizes secondary data from the Central Statistics Agency and other sources to analyze the relationship between poverty levels, unemployment levels and HDI developments in the region. The findings show that increasing poverty and unemployment have a significant negative effect on HDI, which includes health, education and income indicators. These results highlight the importance of comprehensive intervention policies to address the problems of poverty and unemployment in order to improve the quality of life and welfare of people in Indonesia.

The quality of human resources is an important aspect in regional development, which is reflected through the Human Development Index (HDI). HDI is influenced by various factors, including the economic conditions and education of the community. This study aims to analyze the effect of Gross Regional Domestic Product (GRDP) per capita and Average Length of Schooling (RLS) on HDI in South Kalimantan Province. The data used comes from the Central Statistics Agency (BPS) with a coverage of 13 regencies/cities during the period 2018 to 2023. The analysis method used is multiple linear regression with the help of R Studio software. The results of the study show that both GRDP per capita and RLS have a significant effect on HDI, both simultaneously and partially. The resulting model has an adjusted R² value of 0.8627, which indicates that 86.27% of the variation in HDI can be explained by these two variables. The classical assumption test including linearity, conditional zero error expectation, absence of multicollinearity, autocorrelation, homoscedasticity, and residual normality shows that the model used has met all the criteria as the Best Linear Unbiased Estimator (BLUE). Thus, this regression model is valid for use in estimating and making inferences on the factors that influence the HDI in South Kalimantan Province. This finding confirms that increasing education and economic growth are strategic steps in accelerating human development in South Kalimantan.

The mining and excavation sector in the components of the gross regional domestic product (PDRB) in Bojonegoro Regency is still the backbone of regional income and also development in Bojonegoro Regency, starting from infrastructure development and human development index (HDI). In research with the mining and excavation sector variable which is the base sector using the location quotient (LQ) calculation. This leading sector in Bojonegoro Regency has many impacts on its region starting from regional original income (PAD) and also other income components as well as impacts on society and also progress in development in Bojonegoro Regency.

A recent study analyzed the factors influencing poverty rates in nine cities in East Java from 2020 to 2024, with a specific focus on the unemployment rate, Human Development Index (HDI), and industrial sector growth. Utilizing secondary panel data and a Random Effect Model (REM) for analysis, the research yielded significant insights: higher unemployment positively and significantly correlates with increased poverty, whereas improved HDI levels lead to a significant reduction in poverty. Interestingly, despite growth, the industrial sector's impact on poverty reduction was found to be insignificant. Therefore, policy recommendations stemming from this study highlight the crucial need for proactive measures to curb unemployment, continuous efforts to enhance human resource quality through HDI initiatives, and strategies to ensure industrial growth more directly translate into job creation and improved community well-being..

This study aims ti analyze the effect of the Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and Open Unemployment Rate (OUR) on the poverty rate in Gorontalo Province. The study uses panel data from six districts/cities over the period 2017–2024 and is analyzed using panel data regression methods. Based on the results of the Chow test, Hausman test, and Lagrange Multiplier test, the best model used is the Fixed Effect Model (FEM). The analysis results show that simultaneously, the three independent variables have a significant effect on the poverty rate. However, partially, only the GRDP variable has a negative and significant effect on poverty. Meanwhile, the HDI and OUR variables show a negative but statistically insignificant effect on the poverty rate in Gorontalo Province.

This study aims to analyze the effect of population size and open unemployment rate on the Human Development Index (HDI) in Riau Province. The research method used is a descriptive quantitative approach with multiple linear regression analysis. The data used is secondary data based on districts/cities in Riau Province obtained from the Central Statistics Agency (BPS). The analysis results indicate that population size has a positive and significant effect on the HDI, while the open unemployment rate has a negative and significant effect. The F-test also shows that both variables simultaneously have a significant effect on the HDI. The R-squared value of 56.08% indicates that the model adequately explains the variation in the HDI. These findings suggest that improving population quality and reducing unemployment rates are key factors in enhancing human development quality in Riau Province.

Education is the main pillar in improving the Human Development Index (HDI). With a significant contribution to the development of the quality of human resources, especially in Surabaya City, this study aims to analyze the implementation of education budget allocations in Surabaya City in encouraging equitable distribution of education quality, as well as identifying bureaucratic and technical obstacles that cause inequality between the central city and peripheral areas. This research uses the literature study method by utilizing secondary data from various official sources such as BPS, Bappeda, Education Office, BPK, Ministry of Education and Research, and local policies.

This study aims to analyze the influence of population size, Human Development Index (HDI), and Open Unemployment Rate (OUR) on poverty levels in regencies/cities of Special Region of Yogyakarta during 2018-2023 period. The research employed quantitative design with panel data regression analysis approach across five regencies/cities in DIY. Secondary data were obtained from official publications of Statistics Indonesia Yogyakarta Province and analyzed using Fixed Effect Model and Random Effect Model with Stata 17 software. The research findings indicate that HDI has negative and significant effect on poverty level, suggesting that improvement in human resource quality effectively reduces poverty. OUR proved to have positive and significant effect on poverty, confirming that increased unemployment raises poverty levels. Conversely, population size shows no significant influence on poverty in DIY. These findings provide strategic implications for local government to prioritize investment in education and health sectors as well as job creation programs in poverty alleviation efforts. High inter-regional heterogeneity indicates the necessity for policy approaches tailored to specific characteristics of each regency/city in DIY.

This study analyzes the effect of population and Human Development Index (HDI) on poverty in Jambi Province in the period 2018–2024. Using panel data from 11 districts/cities and regression methods with the best approach Random Effect Model (REM), the results show that poverty in Jambi tends to fluctuate. Tanjung Jabung Timur has the highest poverty rate, while Sungai Penuh City has the lowest. This study provides empirical understanding to support the formulation of more targeted poverty alleviation policies at the regional level.

This research is entitled Determinants and Strategies of Enhancing Economic Growth in Jambi City. The objectives of this research are: (1) to analyze the conditions of economic growth, population, infrastructure, Human Development Index (HDI), investment, and capital expenditure in Jambi City; (2) to examine the effects of population, infrastructure, HDI, investment, and capital expenditure on economic growth in Jambi City; and (3) to formulate strategies to enhance economic growth in Jambi City. The results of the study indicate that there is a relationship between the population, infrastructure, HDI, investment, and capital expenditure with economic growth in Jambi City period 2004-2023 with percentage of contribution on 69.12%. Based on multiple linear regression analysis, these variables collectively have a significant and positive effect on economic growth in Jambi City during the 2004–2023 period. Partially, population, HDI, investment, and capital expenditure show a significant and positive influence, while infrastructure has a positive but not significant effect. Using the Analytical Hierarchy Process (AHP), the recommended strategies for enhancing economic growth in Jambi City include the development of basic infrastructure, facilitation of investment, support for regional leading sectors and UMKM, and human resource development.

Using an econometric approach, this study attempts to assess and quantify how globalisation has affected the economy of developing nations. By boosting cross-border information flows, foreign investment, and international trade, globalisation has become a major force in changing the structure of the world economy. Its consequences on social inequality, wealth distribution, and economic stability are still complicated, particularly for emerging countries. This study examines how the Human Development Index (HDI), a measure of economic welfare, is related to the economic aspects of globalisation, including capital flows, technology, and international monetary policy. Finding correlations between globalisation variables and macroeconomic indicators in developing nations is done quantitatively using econometric methods, and both descriptive and inferential analyses are carried out to give a thorough picture of how globalisation has affected important economic sectors. influence on important economic sectors. According to research, globalisation has two opposing effects: on the one hand, it increases economic growth and efficiency through trade and technical development, while on the other, it makes inequality and reliance on international markets worse. These understandings are essential for creating egalitarian and flexible economic policies that can improve living standards in emerging nations. Additionally, the report suggests national policies to improve domestic sectors and promote sustainable human development in order to lessen the negative consequences of globalisation.

This study aims to determine the effect of government spending in the education, health and infrastructure sectors on economic growth and HDI in Aceh Tamiang Regency. The data used are time series data for the period 2014-2023. The data analysis method uses path analysis. The results of the study indicate that government spending in the education, health and infrastructure sectors directly has a positive and insignificant effect on economic growth in Aceh Tamiang Regency. Directly, government spending in the education sector has a negative and insignificant effect on HDI in Aceh Tamiang Regency. Meanwhile, government spending in the health sector, infrastructure sector and economic growth directly have a positive and significant effect on HDI in Aceh Tamiang Regency. Indirectly, government spending in the education sector through economic growth has a negative and insignificant effect on HDI in Aceh Tamiang Regency. Meanwhile, government spending in the health sector, infrastructure sector through economic growth indirectly has a positive and significant effect on HDI in Aceh Tamiang Regency. The coefficient of determination value of 0.9998 indicates that 99.98% of the information contained in the data can be explained by the model, while the remaining 0.02% is explained by other variables outside the model, such as poverty, unemployment, population and other variables.

Poverty is a problem that continues to be faced by both developed and developing countries. In developing countries with high population density, this problem is very difficult to overcome, because the increase in population not only impacts the economy, but also political instability. This study aims to determine the effect of unemployment and population on poverty in Aceh Province. This data was obtained from the BPS publication for the period 2020-2023. This study uses panel data regression analysis. Partially, unemployment (X1) does not have a significant effect on poverty (Y) while the HDI figure (X2) has a significant effect on poverty (Y). Likewise, together, unemployment and population have a significant effect on poverty.

This study aims to analyze the influence of the Provincial Minimum Wage (UMP), Poverty Rate (TK), and Unemployment Rate (TPT) on the Human Development Index (HDI) in five provinces of Indonesia categorized as having moderate HDI from 2014 to 2023. The research employs a panel data regression method using the Fixed Effect Model (FEM) approach to capture variations across regions and time.The findings reveal that the UMP has a positive and significant impact on HDI, indicating that higher minimum wages contribute to improvements in human development. In contrast, the TPT negatively and significantly affects HDI, suggesting that higher unemployment rates hinder human development progress. Meanwhile, the TK variable shows no significant effect on HDI, implying that changes in poverty rates during the study period did not directly influence human development levels in these provinces.Furthermore, the results of the regression analysis show that UMP, TK, and TPT simultaneously have a significant impact on HDI, with an overall contribution of 98.65%. The remaining 1.35% is attributed to other factors not included in the research model.These results highlight the importance of policies aimed at increasing minimum wages and reducing unemployment to enhance community welfare and accelerate human development in provinces with moderate HDI. Policymakers are encouraged to design comprehensive strategies that prioritize employment creation and wage improvements as key levers for boosting human development outcomes across regions.

One of the goals of development is equity, balance, and justice. This study aims to analyze the regional balance in East Java Province. Using a quantitative approach, this study analyzes development disparities between regions in East Java province. The data used include indicators of regional balance from various districts or cities in East Java and see the relationship between the dependent variable Percentage of Poor Population and the independent variables Regional Minimum Wage (RMW), Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and Open Unemployment Rate (OUR). The analysis method used is the primacy index to measure regional imbalance. The results showed that simultaneously, RMW, HDI, GRDP, and OUR have a significant effect on the percentage of poor people. At the same time, partially, there is a substantial effect of RMW on the percentage of poor people, there is a significant effect of HDI on the percentage of poor people, there is no significant effect of GRDP on the percentage of poor people, and there is no significant effect of OUR on the percentage of poor people.

In the last ten years, Indonesia has been carrying out massive infrastructure development. The goal is to facilitate community mobility which has an impact on economic growth. Infrastructure development also aims to increase the Human Development Index even though it does not directly affect it. One of the provinces that contributed to infrastructure development was East Java, with the Human Development Index during the 2018-2022 period increasing and tending to stagnate. For this reason, the purpose of this study is to identify the influence of infrastructure development on the Human Development Index, including identifying the influence of poverty on the Human Development Index. The research methodology used is quantitative with  a Geographically Weighted Panel Regression (GWPR) approach that allows to comprehensively identify the Regional Development Index in East Java. The results obtained were that the variables of Infrastructure Development with the dimensions of Road Length (6,172) and Number of Schools (2,686) had an impact on the Human Development Index in East Java. Meanwhile, the poverty variable (-6,139) has no effect on the Human Development Index (HDI). However, simultaneously the variables of Infrastructure Development and Poverty affect the National Development Index (HDI) with a calculation of 64.42 > 2.4202.