Publication Search

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 relationship between managerial ownership, institutional ownership, audit committee, and research and development (R&D) expenses on Intellectual Capital Disclosure (ICD) in healthcare sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. Intellectual Capital Disclosure is essential as it reflects a company’s ability to manage knowledge, innovation, and human resources that serve as its competitive advantage. This research employs a quantitative approach using the total sampling method, where all healthcare sector companies that meet the criteria are included as samples. Secondary data were obtained from annual reports and analyzed using panel data regression with the assistance of Stata 19 software. Model selection was conducted through Chow, Hausman, and Lagrange Multiplier (LM) tests, with the results indicating that the Random Effect Model (REM) was the most appropriate model to use. The results show that managerial ownership, institutional ownership, and audit committee have negative and insignificant relationships with Intellectual Capital Disclosure. In contrast, research and development activities have a positive and significant relationship with Intellectual Capital Disclosure.

This study investigates the impact of Environmental, Social, and Governance (ESG) Risk Ratings on stock prices of companies listed in the ESG Leaders Index on the Indonesia Stock Exchange during the period 2020–2023. Using the Ohlson (1995) valuation model as the theoretical framework, the research examines the value relevance of financial information—proxied by Book Value per Share (BVPS) and Earnings per Share (EPS)—and non-financial information in the form of ESG risk ratings. The study employs purposive sampling, resulting in an unbalanced panel dataset of 120 firm-year observations. Panel regression analysis with the Random Effect Model (REM) is applied, supported by classical assumption tests and sensitivity analysis. The findings reveal that BVPS has a positive and significant effect on stock prices, highlighting its role as a stable and value-relevant measure for investors. By contrast, EPS shows a positive but insignificant relationship, confirming the declining relevance of earnings in the Indonesian market. Moreover, ESG Risk Ratings exhibit a negative but statistically insignificant effect, suggesting that while firms with higher ESG risks tend to be valued lower, sustainability considerations are not yet consistently incorporated into equity valuation by Indonesian investors. These results imply that financial fundamentals, particularly BVPS, remain the dominant factor in stock price determination, whereas ESG information has not yet achieved value relevance in the Indonesian context. The study underscores the need for stronger regulatory enforcement, standardized ESG disclosure, and greater investor awareness to enhance the integration of sustainability risks into capital market decision-making.

This study aimed to determine and analyze the influence of financial ratios on profit changes in telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The financial ratios used in this study encompass four main groups: liquidity ratios, solvency ratios, activity ratios, and profitability ratios. This study employed a quantitative approach with an associative nature because it attempted to examine the relationship and influence between these financial variables on profit changes. The population in this study comprised all telecommunications companies listed on the IDX, while the sample selection was conducted using a purposive sampling technique with specific criteria, resulting in 15 eligible companies. The research data were then analyzed using panel data regression using EViews 12 software, with the best model selected being the Random Effect Model (REM). The results showed that simultaneously, liquidity, solvency, activity, and profitability ratios significantly influenced profit changes, thus concluding that the company's overall financial performance plays a significant role in determining the dynamics of profit generated. However, partial test results showed that the influence of each ratio was different. The solvency ratio has a significant negative effect on profit changes, indicating that the higher a company's debt level, the greater the risk of profit decline. Conversely, the profitability ratio has a significant positive effect, confirming that a company's ability to generate net profit is a major factor in increasing profit changes. Meanwhile, the liquidity ratio and activity ratio were not shown to have a significant effect on profit changes, indicating that short-term liquidity and operational efficiency are not sufficient to be the primary determinants in driving profit changes in the telecommunications sector.  

International trade plays a vital role in strengthening Indonesia’s economic growth, particularly through the export of fishery products which are among the country’s leading commodities. Fresh fish exports are highly influenced by external demand factors in destination countries as well as Indonesia’s own production capacity. This study aims to analyze the determinants affecting Indonesia’s fresh fish exports to its main trading partners, namely China, Japan, Hong Kong, Singapore, and Malaysia, over the period 2012–2023. The research utilizes secondary data sourced from the World Bank and the Central Statistics Agency (BPS). Several independent variables are considered, including the fish production levels in the importing country, the real gross domestic product (GDP) per capita of the importing country, and the total population of the importing country. Panel data analysis was employed to capture the variations across time and countries, with the Random Effect Model (REM) chosen based on the results of the model specification tests. The findings of the analysis indicate that fish production in the importing country exerts a negative and statistically significant effect on Indonesia’s fresh fish exports, suggesting that higher domestic fish production in these countries reduces the need for imports. Conversely, the real GDP per capita of the importing country and its population size were found to have positive and significant impacts on Indonesia’s export volumes. These results highlight that wealthier and more populous nations demonstrate stronger demand for imported fresh fish, including from Indonesia. The implications of this study underscore the importance for Indonesia to continuously improve the quality, safety, and competitiveness of its fresh fish products while also adopting effective marketing and trade strategies targeting countries with high purchasing power and large consumer bases.

Economic growth in Bali Province is predominantly driven by the tourism, service, and agricultural sectors, which play a vital role in the region’s development and income generation. Over the 2014–2024 period, however, the province has experienced a fluctuating and generally declining growth trend, influenced by both internal and external economic dynamics. This study aims to examine the influence of unemployment, district minimum wage (Upah Minimum Kabupaten/Kota—UMK), and education on economic growth across the nine regencies and cities in Bali Province. Employing a quantitative approach with an associative research design, the study utilizes panel data that combines cross-section data (9 regencies/cities) and time-series data spanning 2014–2024, yielding a total of 99 observations. To ensure robust estimation, panel data regression analysis was conducted, with the Random Effect Model (REM) selected as the most appropriate method based on the results of the Hausman test. The empirical findings reveal that, simultaneously, unemployment, UMK, and education have a significant influence on regional economic growth in Bali. Partially, education exerts a positive and significant effect, indicating that improvements in educational attainment and quality can drive higher productivity and foster sustainable economic development. Conversely, UMK demonstrates a negative and significant impact, suggesting that increases in the minimum wage, while beneficial for workers’ welfare, may impose financial burdens on businesses—particularly small and medium-sized enterprises—thus potentially slowing economic activity. Similarly, unemployment has a negative and significant effect, underscoring its detrimental role in limiting economic output and household income. These results emphasize the need for policymakers to strike a balance between enhancing workforce welfare through wage regulations and ensuring that such measures do not hinder economic competitiveness. Furthermore, strengthening education policies, improving access to quality learning, and aligning educational outcomes with labor market demands are crucial for supporting long-term economic growth in Bali.

The food and beverage subsector of the manufacturing industry, despite experiencing positive growth, still faces challenges in maintaining financial performance stability, such as high operational costs, suboptimal capital structure, and efficiency differences across company scales. This study aims to examine the effect of operational efficiency, leverage, and firm size on financial performance, both partially and simultaneously, in food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2022–2024 period. The sample consists of 16 companies selected using purposive sampling, with a total of 48 observations. This research applies a quantitative approach using panel data regression analysis and hypothesis testing through partial (t-test) and simultaneous (F-test) methods with STATA version 14. The best model used is the Random Effect Model (REM), selected through Chow, Hausman, and Lagrange Multiplier tests. The findings indicate that leverage has a significant negative effect on financial performance when tested partially, while operational efficiency and firm size do not have a significant partial effect. However, when tested simultaneously, operational efficiency, leverage, and firm size significantly influence the financial performance of food and beverage manufacturing companies listed on the IDX.  

This study is motivated by the crucial role of government spending and domestic investment (PMDN) in driving economic growth, particularly in Bali Province, which is heavily reliant on the tourism sector and vulnerable to external shocks such as the COVID-19 pandemic. The objective of this research is to analyze the influence of government expenditure in the general services and infrastructure sectors, as well as domestic investment, on Bali’s economic growth during the 2014–2023 period, both simultaneously and partially. This study employs panel data combining cross-sectional and time-series data from 9 regencies/cities in Bali Province over a 10-year period (2014–2023), using a Random Effect Model (REM) approach after conducting the Chow test, Hausman test, and Lagrange Multiplier test. The results show that, simultaneously, all independent variables significantly influence economic growth. Partially, government spending in general services, infrastructure, health, and education sectors has a positive and significant effect. Meanwhile, expenditure in economic services, domestic investment (PMDN), and the COVID-19 variable have a positive but statistically insignificant effect on economic growth in Bali Province. It is recommended that local governments improve the effectiveness of economic sector spending, promote equitable distribution of domestic investment, and accelerate economic diversification to reduce dependency on tourism and strengthen regional economic resilience.

This study aims to analyze the effect of capital structure, firm growth, audit quality, and foreign ownership on firm value, proxied by Price to Book Value (PBV), in consumer cyclical sector companies listed on the Indonesia Stock Exchange during 2018–2022. The analytical method used is panel data regression with the Random Effect Model (REM) approach. The results show that capital structure has a positive and significant effect on firm value. Conversely, firm growth, audit quality, and foreign ownership do not significantly affect firm value. These findings support signaling theory, which suggests that the use of debt within a reasonable threshold can boost investor confidence and enhance firm value. Therefore, it is recommended that corporate management focus on optimizing capital structure rather than relying solely on firm growth or external factors such as audit quality or foreign investors to improve firm value.

This research aims to examine how the predicted years in school and the unemployment rate influence labor force participation (TPAK) in Aceh Province. Across several cities and communities in Aceh, it employs secondary panel data from the Central Bureau of Statistics (BPS).  Panel regression analysis is done using the Random Effect Model (REM) approach in this study. The results show that TPAK is negatively and substantially affected by the unemployment rate, while the projected years of schooling have no significant statistical impact. TPAK changes are generally only marginally affected by either of these causes. The coefficient of determination reveals that the model explains only 8. 3% of the TPAK swings. Although education and unemployment are components of labor market behavior, other, more important variables are more crucial in influencing labor force participation in Aceh, as these results suggest.

This study aims to analyze the influence of economic growth and education quality on labor absorption in 27 regencies/cities of West Java Province during the 2020–2024 period using the Random Effect Model (REM) method. The estimation results show that economic growth has a positive and significant effect on labor absorption, with a coefficient of 0.322424 and a p-value of 0.0002. This indicates that regional economic growth contributes to increasing employment opportunities. On the other hand, the quality of education, measured by the average years of schooling, has a negative and insignificant effect on labor absorption, with a coefficient of -0.706782 and a p-value of 0.0755. These findings suggest that improvements in formal education do not automatically lead to increased labor absorption, likely due to a mismatch between graduate qualifications and labor market needs. The Adjusted R-squared value of 0.091650 indicates that the model explains only about 9.16% of the variation in labor absorption, with the remaining variation influenced by other unobserved factors. Therefore, strategic policies are needed, such as the development of labor-intensive sectors and the improvement of vocational education quality and relevance, to optimally enhance labor absorption in West Java.

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 was made to examine the determinants of financial performance of banking companies in Indonesia. There are four independent variables (board of diversity, net interest margin, operational efficiency, and liquidity risk) and a moderating variable (firm size) have been analyzed in this research. Testing the interaction effect of firm size in explaining the influence of these four independent variables on banking financial performance is still very limited. This quantitative research was analyzed by using secondary data from audited annual reports of the company. The purposive sampling technique was used to choose the research’s samples during the observation periods (2018-2022) and obtained 200 observations (40 samples over 5 years of research). Panel data regression with the EViews program was used to test the eight hypotheses which was developed in this research. The results of the Chow test and Hausman test confirm the use of the Random Effect Model in the analysis. The findings from testing the interaction model show that firm size does not moderate the influence of board of diversity and net interest margin on financial performance, while for operational efficiency and liquidity risk variables, the firm size shows a pure moderating role for the both.