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This study aims to analyze the influence of Regional Original Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK), and Tax Revenue Sharing Fund (DBHP) on Regional Expenditure, as well as to analyze whether the flypaper effect phenomenon occurs in Regencies/Cities in Jambi Province during the 2017-2023 period. The data used in this study is panel data that combines time series data for 7 years and cross-section data from 11 Regencies/Cities in Jambi Province. The analysis method used is panel data regression with the selected model Fixed Effect Model (FEM). The results of the study show that simultaneously (F Test), the variables PAD, DAU, DAK, and DBHP have a significant effect on Regional Expenditure. Partially (t Test), PAD and DBHP do not have a positive and significant effect on Regional Expenditure, while DAU and DAK show a positive and significant effect on Regional Expenditure. This study also found a flypaper effect in regencies/cities in Jambi Province. This indicates that regional governments in Jambi Province tend to be more responsive in increasing regional spending using transfer funds from the central government rather than optimizing their own potential Regional Original Revenue (PAD).

The quality of life and well-being of women in Indonesia can be measured through the Female Life Expectancy indicator. Data on Female Life Expectancy from 2022 to 2024 shows a nationally positive trend; however, a significant disparity persists across provinces, particularly between the Western and Eastern regions of Indonesia. The nation still faces challenges in ensuring an equitable quality of life for women, as evidenced by the national Female Life Expectancy (FLE) in 2024 at 74.21 years, which remains lower than ASEAN counterparts such as Singapore at 83.86 years. Furthermore, regional imbalances are reflected in the performance gap between D.I. Yogyakarta (77.4 years) and West Sulawesi (68.28 years). This study aims to analyze the effects of Women's Income Contribution, Access to Clean Water, the Number of Families Receiving Social Assistance, and Women's Mean Years of Schooling on Female Life Expectancy in Indonesia during the 2022–2024 period. The estimation method applied in this research is the Fixed Effect Model (FEM) via a quantitative panel data regression approach, spanning an observation area of 33 provinces (n=99). Based on the analysis, Female Life Expectancy is proven to be positively and significantly influenced by Women's Mean Years of Schooling and Access to Clean Water. These findings indicate that human resource quality and environmental conditions serve as dominant factors in driving up Female Life Expectancy. Therefore, government policy interventions should ideally focus on expanding educational access for women and ensuring the equitable distribution of clean water infrastructure.

Income inequality is a structural development problem that can trigger social conflict, affect long-term economic growth, and hinder the achievement of SDGs. The purpose of this study is to analyze the factors that contribute to income inequality in East Java Province by combining demographic, social, and economic factors. The data used includes panel data from 38 districts and cities in East Java Province between 2017 and 2023 period. The analysis method used is panel data regression with a fixed effect model. To measure the effect of variables on income inequality, the testing was conducted partially and simultaneosly. The individual test results show that elderly dependency and poverty have a positive and significant relationship, while the human development index and economic growth are proportional but not significantly, and the open unemployment rate is not significant negative. Simultaneously, all variables have a significant effect on income inequality of 55.67 percent, with the remaining 44.37 percent influenced by variables outside the scope of this study.

This study investigates the effect of total risk on firm performance and sustained growth among consumer non-cyclicals manufacturing companies listed on the Indonesia Stock Exchange (IDX) over the period 2019–2023. Total risk is operationalized through the systematic risk proxy (Beta/β), estimated via the Capital Asset Pricing Model (CAPM) framework as the covariance between individual stock returns and the market return divided by the variance of market returns, using the Jakarta Composite Index (JCI) as the market benchmark. Firm performance is measured through Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q, while sustained growth is operationalized following Gerson et al. (2025) as SG = b × ROE, where b denotes the earnings retention ratio. Panel data regression analysis is applied to 225 firm-year observations drawn from 45 companies, with model selection guided by the Chow and Hausman specification tests. The Fixed Effect Model (FEM) is adopted for ROA, ROE, and SG, while the Random Effect Model (REM) is applied for Tobin’s Q. Results indicate that systematic risk exerts a significant negative effect on ROA (β = −0.312; p < 0.01) and ROE (β = −0.278; p < 0.01), but is statistically non-significant for Tobin’s Q, suggesting that capital market pricing in Indonesia does not fully incorporate systematic risk information. Critically, systematic risk exerts the largest and most significant negative effect on sustained growth (β = −0.347; p < 0.01), revealing a dual transmission mechanism through which risk suppresses ROE while simultaneously inducing more conservative dividend policies, both of which constrain long-run growth sustainability. These findings carry important implications for corporate risk management strategy and empirically enrich the literature on risk, performance, and growth in emerging capital markets.

This study examines the effect of working capital on firm performance and sustained growth among consumer non-cyclicals manufacturing companies listed on the Indonesia Stock Exchange (IDX) over the period 2019–2023. Working capital is operationalized through three distinct proxies derived from Akgün and Memiş Karatəs (2021): the Cash Holding Level (CHL), which measures the proportion of cash and cash equivalents relative to total assets; the Cash Interactive Effect (CIE), which captures the efficiency of converting revenue into operating cash flow; and the Gross Working Capital Ratio (GWCR), which reflects the share of current assets within total assets. Firm performance is assessed through Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q, while sustained growth is measured using the model proposed by Gerson et al. (2025), expressed as SG = b × ROE, where b denotes the earnings retention ratio. Panel data regression analysis is applied to 225 firm-year observations drawn from 45 companies. The study employs the Fixed Effect Model (FEM) for ROA and ROE, and the Random Effect Model (REM) for Tobin’s Q, as determined by the Hausman specification test. The findings reveal that CHL and CIE exert significant positive effects on ROA and ROE, while CIE is the only proxy to produce a statistically significant positive effect on Tobin’s Q. With respect to sustained growth, CHL and GWCR demonstrate significant negative effects, whereas CIE shows a significant positive effect, indicating that operational efficiency dimensions of working capital actively support long-term growth sustainability. These results reinforce the liquidity management theory and contribute empirical evidence that the structure and efficiency of working capital are strategic determinants of both short-term financial performance and long-term growth sustainability in Indonesia’s consumer goods manufacturing sector.

This research investigates how Environmental, Social, and Governance (ESG) practices influence the tax liabilities of consumer cyclical companies in Indonesia between 2020 and 2024. By employing the Effective Tax Rate (ETR) as a proxy for tax burden, the study analyzes 160 data points from 32 purposively selected firms. Utilizing a Fixed Effect Model for panel data regression, the empirical results indicate that superior ESG performance significantly correlates with a higher ETR. This suggests that corporations with higher sustainability transparency tend to exhibit better tax compliance and avoid aggressive tax avoidance schemes. Grounded in stakeholder and legitimacy theories, these findings underscore that ethical ESG adoption strengthens public accountability and enhances the integrity of corporate governance within the Indonesian capital market.

Economic growth in ASEAN countries has shown heterogeneous dynamics, particularly in the post-pandemic period. This study aims to analyze the effect of economic complexity, manufacturing value added, and foreign direct investment on economic growth in ASEAN-8 countries during 2015–2024. The study employs a quantitative explanatory approach using panel data regression analysis. The data were obtained from the World Development Indicators (World Bank) and Harvard Growth Lab. Based on the Chow and Hausman tests, the Fixed Effect Model (FEM) was selected as the best estimation model. The results indicate that economic complexity has a negative and significant effect on economic growth, suggesting that increasing economic sophistication does not automatically promote growth when industrial and institutional readiness remain limited. Meanwhile, the manufacturing sector has a positive but insignificant effect on economic growth. In contrast, foreign direct investment has a positive and significant effect on economic growth through capital accumulation and technology transfer. Simultaneously, all independent variables significantly affect economic growth in ASEAN-8 countries. These findings imply the importance of strengthening industrial capacity, institutional quality, and technological readiness to support sustainable economic growth in ASEAN countries.

This study examines the impact of carbon emission disclosure, eco-efficiency, and green innovation on firm value among energy sector companies listed on the Indonesia Stock Exchange during 2022-2024. Using purposive sampling, 26 companies were selected based on specific criteria, resulting in 78 observations over the three-year period. The research employs panel data regression analysis with fixed effect model, using Tobin's Q as the proxy for firm value. Carbon emission disclosure is measured using the CDP framework with 18 disclosure items, eco-efficiency is assessed through ISO 14001 certification ownership, and green innovation is evaluated using four indicators based on the OECD framework. The results reveal that green innovation has a significant positive effect on firm value, indicating that Indonesian capital market investors place premium valuations on companies investing in environmental innovation. However, carbon emission and eco-efficiency show no significant impact on firm value. These findings suggest that while sustainability disclosure remains voluntary in Indonesia and lacks standardized frameworks, market participants are more responsive to tangible innovations that demonstrate competitive advantages and regulatory risk mitigation. Simultaneously, all three variables significantly influence firm value, confirming the relevance of comprehensive sustainability practices in value creation.

Tourism regulations play a critical role in shaping destination competitiveness and influencing tourist travel decisions, yet empirical evidence on their effectiveness across different institutional contexts remains limited. This study investigates the impact of tourism regulations on tourist visit performance through a comparative quantitative analysis of Indonesia and Singapore. Using panel data covering the period 2010–2023, this research employs a fixed-effects regression model to examine the relationship between regulatory quality and tourist arrivals, while controlling for economic conditions and transport infrastructure. The findings reveal that tourism regulations have a positive and statistically significant effect on tourist visit performance in both countries. However, the magnitude of the effect is substantially stronger in Singapore, indicating higher regulatory efficiency and institutional effectiveness in translating policy interventions into tourism demand. These results support institutional and tourism demand theories, emphasizing that regulatory quality, rather than regulatory volume, is a key determinant of tourism performance. The study contributes to the tourism policy literature by providing cross-national empirical evidence on regulatory impacts and highlighting the importance of governance capacity in tourism development. From a policy perspective, the findings suggest that countries should prioritize regulatory coherence, administrative efficiency, and adaptive governance to enhance tourism competitiveness and resilience.

This study aims to estimate coal resources using the kriging method at PT. Inti Bara Perdana, Taba Penanjung, Bengkulu. Geostatistical analysis was applied to evaluate spatial variability of coal quality parameters, including total moisture (TM), inherent moisture (IM), ash content (ASH), volatile matter (VM), fixed carbon (FC), and calorific value (CV). The research utilized drilling data with an average spacing of 80 meters. Variogram modeling was conducted using SGeMS software, employing spherical models to determine nugget, sill, and range parameters. The results show a low nugget effect (0%) indicating strong spatial continuity. The obtained ranges vary between 180–1296 meters depending on the parameter. Blo./ck kriging estimation was performed using block dimensions of 25 × 25 × 8 meters and a coal density of 1.3 ton/m³. The total estimated coal resource up to an elevation of 230 m is 253,500 tons. These findings demonstrate that kriging provides reliable resource estimation and supports mine planning optimization. This research contributes to improving coal resource evaluation accuracy and operational decision-making in open-pit mining.

The purpose of this study was to determine and analyze the effect of wage levels, economic growth, and the Human Development Index (HDI) on income inequality through labor absorption in the Districts/Cities of Jambi Province from 2020-2024. The research method used is a quantitative descriptive analysis using panel data regression with the Fixed Effect Model approach.  The analysis method used Eviews 12. The results showed of that partially, income inequality in the Districts/Cities of Jambi Province is significant positive influenced by the wage level variable, while economic growth does not have a significant effect on income inequality. In addition, the Human Development Index (HDI) has a significant negative effect on income inequality. This implies that wage increases are actually followed by in income inequality. Meanwhile, economic growth has not been able to provide a broad income redistribution effect. Conversely, improving the quality of human development proves to be the most effective factor, as it is capable of significant reducing inequalirt levels. Simultaneously, the results show that the variables of wage levels, economic growth, and the Human Development Index (HDI) collectively have a significant influence on income inequality in Districts/Cities of Jambi Province.

This study investigates the factors influencing export performance in five ASEAN countries Indonesia, Malaysia, the Philippines, Singapore, and Thailand during the 2014-2023 period. The topic is highly relevant given the vital role of exports in sustaining monetary stability and promoting long-term economic growth. The novelty of this research lies in its integrated approach, which simultaneously examines key export-related macroeconomic variables, namely foreign direct investment and inflation, while incorporating foreign exchange reserves as a moderating variable an approach that remains limited in existing ASEAN-focused studies. This analysis uses secondary data obtained from the World Bank and processed using panel data regression methods, including the Common Effect Model, Fixed Effect Model, and Random Effect Model, strengthened by a Moderated Regression Analysis (MRA) approach. The results show that foreign direct investment and inflation significantly influence foreign exchange reserves. Furthermore, foreign exchange reserves have been shown to play a strategic role in strengthening the economic resilience of ASEAN countries and can be used as a reference in formulating monetary and international trade policies.

This study investigates the factors influencing export performance in five ASEAN countries Indonesia, Malaysia, the Philippines, Singapore, and Thailand during the 2014-2023 period. The topic is highly relevant given the vital role of exports in sustaining monetary stability and promoting long-term economic growth. The novelty of this research lies in its integrated approach, which simultaneously examines key export-related macroeconomic variables, namely foreign direct investment and inflation, while incorporating foreign exchange reserves as a moderating variable an approach that remains limited in existing ASEAN-focused studies. This analysis uses secondary data obtained from the World Bank and processed using panel data regression methods, including the Common Effect Model, Fixed Effect Model, and Random Effect Model, strengthened by a Moderated Regression Analysis (MRA) approach. The results show that foreign direct investment and inflation significantly influence foreign exchange reserves. Furthermore, foreign exchange reserves have been shown to play a strategic role in strengthening the economic resilience of ASEAN countries and can be used as a reference in formulating monetary and international trade policies.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

This study examines the effect of Environmental, Social, and Governance (ESG) ratings on firm performance and the moderating role of ESG rating disagreement within the Indonesian capital market. Using a panel dataset of 63 companies listed on the Indonesia Stock Exchange from 2021 to 2023 and employing a fixed-effects regression model, the analysis measures firm performance with Tobin’s Q, ESG ratings from Refinitiv Eikon, and ESG rating disagreement as the standard deviation between Refinitiv and Bloomberg scores. The empirical results indicate that ESG ratings do not have a statis-tically significant effect on firm performance, and ESG rating disagreement does not significantly moderate this relationship. These findings suggest that ESG-related information has not yet been fully internalized into firm valuation in Indonesia, with current ESG practices perceived as largely symbolic rather than substantively integrated into corporate strategy. The study concludes that both ESG ratings and rating disagreement fail to serve as effective mechanisms for enhancing firm performance in the Indonesian context, reflecting the early-stage development and compliance-driven nature of ESG adoption in emerging markets.

This study investigates the interconnected roles of board gender diversity and Environmental, Social, and Governance (ESG) performance on firm performance within Indonesia's distinctive two-tier corporate governance system. Utilizing a panel dataset of 80 companies listed on the Indonesia Stock Exchange from 2021 to 2023 and employing a fixed-effects regression model, the analysis measures gender diversity on both the Board of Commissioners (BOC) and Board of Directors (BOD) using the Blau Index, with firm performance proxied by Tobin's Q and ESG performance sourced from Refinitiv Eikon scores. The empirical results reveal that gender diversity on both the BOC and BOD does not have a statistically significant effect on firm performance, failing to support agency, upper echelons, and gender socialization theories. Furthermore, ESG performance demonstrates a significant negative direct effect aligning with the trade-off perspective that current implementation costs outweigh benefits. Crucially, the analysis finds that ESG does not moderate the board diversity-performance relationship, as both interaction terms are statistically insignificant. These findings collectively indicate that the potential governance and strategic advantages of board gender diversity are not being realized in the Indonesian context. The study concludes that this is attributable to several structural barriers, including tokenistic board appointments, the early-stage and often symbolic nature of ESG adoption focused on compliance rather than integration, and a weak institutional environment characterized by voluntary frameworks and socio-cultural constraints that limit the substantive influence of women in governance roles.

Nickel has become a strategic mineral in the global industrial value chain, particularly for stainless steel production and electric vehicle battery manufacturing. As one of the world’s largest nickel producers, Indonesia has implemented a downstream industrialization policy aimed at increasing value added and strengthening export performance. This study analyzes the effects of international nickel prices, destination countries’ GDP per capita, exchange rates, and the downstreaming policy on the value of Indonesia’s nickel exports (HS 75) over the period 2010–2023. The study employs a quantitative approach using panel data regression with secondary data covering five major export destination countries, namely China, Japan, South Korea, Thailand, and Singapore. Based on the Chow and Hausman tests, the Fixed Effects Model is selected as the most appropriate estimation technique, indicating the presence of country-specific heterogeneity among importing countries. The results show that destination countries’ GDP per capita and international nickel prices have a positive and statistically significant effect on Indonesia’s nickel export value. The downstreaming policy dummy variable also exhibits a positive and significant impact, suggesting that the nickel ore export ban implemented since 2020 has effectively shifted export composition toward higher value-added processed nickel products. In contrast, exchange rates are found to have no significant effect on export performance. Overall, the findings provide empirical evidence supporting the effectiveness of Indonesia’s downstream industrialization policy and highlight the importance of global demand conditions in driving the performance of processed nickel exports.

This study examines the influence of income inequality and poverty on the prevalence of stunting in ten provinces across Sumatra Island during the 2016–2024 period. Using a panel dataset of 90 observations and applying a Fixed Effect Model, the results indicate that both income inequality—measured by the Gini Ratio—and poverty have a positive and significant effect on stunting. The Gini Ratio shows a coefficient of 1.46 (p = 0.0002), while poverty records a coefficient of 6.28 (p = 0.0140), jointly explaining 52% of the variation in stunting prevalence. Spatial analysis further supports these findings, with Moran’s I values exceeding 0.40, suggesting strong spatial autocorrelation and clustering of high-stunting regions. High-risk clusters—Aceh, Jambi, and Bengkulu—are characterized by Gini Ratios above 0.33 and poverty levels exceeding 12%, reinforcing the existence of an intergenerational poverty–stunting trap, particularly influenced by urban–rural disparities (rural 53.3% vs urban 34.9%). The study highlights that specific nutrition interventions such as supplementary feeding, micronutrient programs, and breastfeeding promotion are insufficient without accompanying structural reforms addressing economic inequality. Therefore, multisectoral convergence strategies are required, including expanded conditional cash transfers, progressive local taxation reforms, nutrition-focused social assistance, and universal basic infrastructure to accelerate stunting reduction toward the 14.2% target by 2029.

Income inequality and poverty continue to be major challenges in Indonesia's industrial areas, especially in DKI Jakarta, West Java, and Banten, although minimum wage policies continue to be developed as a form of protection for low-income workers. These policies theoretically serve as an instrument for income redistribution and improvement of labor welfare, but their effectiveness in reducing inequality and reducing poverty rates is still questionable, especially in areas with highly industrialized economic structures. This study aims to analyze the influence of income inequality, poverty rate, economic growth, and unemployment rate on the dynamics of the provincial minimum wage in the 2016–2023 period. The study used secondary data obtained from the Central Statistics Agency and analyzed using panel data regression to obtain a comprehensive empirical picture of the factors determining the minimum wage. The test results show that the Fixed Effect Model is the most suitable model for capturing variations between provinces and between times. Key findings reveal that poverty levels and economic growth have a significant influence on changes in the minimum wage, while income inequality and unemployment rates have no significant influence. The conclusion of the study emphasizes that the minimum wage policy is not effective enough in reducing income inequality and reducing poverty without the expansion of the formal sector, improving the quality of the workforce, and distributing economic growth more evenly between industrial areas.

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