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This study aims to analyze the factors affecting real wages of construction workers across provinces in Indonesia from 2010 to 2023 using panel data analysis. The independent variables include Provincial Minimum Wage (UMP), Consumer Price Index (CPI), Open Unemployment Rate (TPT), and Performance Pay (Balas Jasa). A panel dataset of 476 observations from 34 provinces over 14 years was analyzed using three model approaches: Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model was determined through Chow Test, Hausman Test, and Lagrange Multiplier Test, which confirmed that the Fixed Effect Model (FEM) is the most appropriate for analyzing this research data. FEM estimation results show that simultneously, all independent variables (UMP, CPI, TPT, and Performance Pay) have a significant effect on real wages with an F-statistic value of 436,465.9 (p-value = 0.0000 < 0.05), indicating that the model as a whole is highly valid and capable of explaining the variation in real wages collectively. However, partial tests reveal that only the Real Wage variable has a positive and statistically significant effect on Performance Pay (coefficient = 106.3320; t-statistic = 1276.083; p-value = 0.0000), while UMP (p-value = 0.1472), CPI (p-value = 0.6460), and TPT (p-value = 0.6934) show no significant effects at the 5% significance level. The research model demonstrates very high predictive ability with an R-squared value of 0.999735 (99.97%), indicating that the variables studied can explain nearly all variation in real wages of construction workers at the provincial level. This research provides policy implications that improving real wages in the construction sector requires an integrated approach that focuses not only on minimum wage setting but also on regional inflation control, human capital quality improvement, and creating conducive labor market conditions through unemployment reduction

This study focuses on analyzing the welfare index in the ASEAN region (covering six major countries) by comparing two perspectives: objective welfare (Human Development Index/HDI) and subjective welfare (World Happiness Index). Using a balanced panel dataset from 2015–2023, the research applies different econometric approaches for each model, namely the Random Effect Model (REM) for HDI analysis and the Common Effect Model (CEM) for happiness analysis. Empirical findings indicate a striking welfare paradox across the six sample countries. In the objective dimension (HDI), economic stability (GDP) and governance free from corruption (CPI) are proven to be the main positive and significant drivers, while government expenditure (GovExp) shows no meaningful impact, suggesting budget inefficiency. Conversely, in the subjective welfare model, the Easterlin Paradox emerges, as GDP and the corruption index have no significant effect on the happiness index. The happiness levels in these six countries tend to be more influenced by government expenditure. This study concludes that strong economic fundamentals and clean governance free from corruption are essential to building a high quality of human life, whereas citizens’ life satisfaction is more determined by the direct presence of the state through public spending.

This study aims to analyze the effect of Gross Regional Domestic Product (GRDP) and Minimum Wage on the realization of FDI in five districts / cities in East Kalimantan during the period 2017-2023. The method used is a quantitative approach with panel data and multiple linear regression analysis using Eviews 9 software. The test results show that the best model is the Common Effect Model (CEM). Partially, the GRDP variable has a positive and significant effect on FDI realization, while the minimum wage variable has no significant effect. Simultaneously, both independent variables have a significant effect on FDI. The coefficient of determination (Adjusted R²) of 82.5% indicates that variations in FDI can be explained by GRDP and MSE. This finding confirms the importance of encouraging regional economic growth to attract more foreign investment, as well as considering the balance between labor cost incentives and labor welfare.

The purpose of this study is to examine the effect of green accounting, operational efficiency, and marketing effectiveness on financial performance in mining companies listed on the Indonesia Stock Exchange (IDX) in 2021-2023. This study uses a quantitative method based on annual financial report data and annual reports for 3 years (2021-2023) from Mining Companies listed on the Indonesia Stock Exchange (IDX). The research sample includes 83 companies with a total of 249 observation data for (3) periods. Data analysis was carried out using Eviews 12 software with the Multiple Regression Analysis method based on panel data with the Common Effect Model (CEM) method. The results of the study show that Green Accounting has a positive and significant effect on financial performance. Conversely, Operational Efficiency does not have a significant effect on financial performance, while Marketing Effectiveness has a positive and significant effect on financial performance.