Youth disengagement from agriculture poses a critical challenge to the sustainability of food systems and rural livelihoods in many developing countries, including Indonesia. As the agricultural workforce continues to age, understanding the drivers of youth participation and its implications for household welfare has become increasingly urgent. This study aims to analyze the factors influencing youth participation in the agricultural sector and to assess the impact of youth involvement in agriculture on household food security among farming households in rural Indonesia. The study employs primary cross-sectional household survey data and applies a two-stage quantitative approach. A Probit regression model is used to identify the socio-economic and structural determinants of youth participation in agriculture, while Propensity Score Matching is applied to estimate the causal impact of youth participation on household food security outcomes, measured using the Food Consumption Score and the Food Insecurity Experience Scale. The results show that youth participation in agriculture is primarily shaped by structural and economic factors rather than basic demographic characteristics. Higher educational attainment significantly reduces the likelihood of youth engagement in agriculture, reflecting higher opportunity costs and alternative employment prospects. In contrast, the availability of youth labor within the household and access to productive assets, particularly land, significantly increase the probability of youth participation, while access to agricultural credit plays a supportive but weaker role. The impact analysis further reveals that households with active youth participation exhibit significantly better food security outcomes, characterized by higher food consumption scores and lower levels of food insecurity compared to comparable households without youth involvement. These findings suggest that youth participation contributes to improved household resilience and food access. The study highlights the importance of addressing structural constraints, such as land access and financial inclusion, to promote sustainable youth engagement in agriculture. Strengthening youth participation is therefore not only essential for farmer regeneration but also for enhancing household food security and long-term rural development.

The rapid diffusion of digital technologies in Indonesia has substantially increased exposure to cybersecurity risks, including cyberterrorism, thereby heightening the importance of individual preventive behavior. This study examines how knowledge experience and social norms influence decisions to enhance cybersecurity practices, with a specific empirical focus on Java Island. Building on an integrated framework that combines Protection Motivation Theory (PMT) and the Theory of Planned Behavior (TPB), the study positions perceived security as a central mediating mechanism linking cognitive evaluations and motivational factors to behavioral intentions. The analysis applies Partial Least Squares–Structural Equation Modeling (PLS-SEM) to estimate both direct and indirect relationships among knowledge experience, threat appraisal, coping appraisal, attitudes, subjective norms, perceived behavioral control, perceived security, and cybersecurity decision-making. The findings identify perceived security as a key cognitive anchor that translates risk awareness and self-efficacy into concrete protective actions. This study extends the PMT–TPB framework within a developing-country context and offers policy-relevant insights emphasizing capacity-building, experiential learning, and user empowerment over norm-based cybersecurity interventions.

This study examines how access to different types of financial services influences household welfare in Indonesia. Using data from a large sample of 331,068 households, the research applies Ordinary Least Squares (OLS) regression to evaluate the impact of financial institutions on household income, which serves as a proxy for welfare. The findings reveal that access to microfinance and commercial banks significantly improves household income, highlighting the critical role these institutions play in enhancing welfare. Conversely, households relying on informal financial institutions tend to have lower incomes, indicating a negative effect on welfare. Further analysis reveals important variations based on gender and geographic location. Microfinance and cooperatives are particularly beneficial for female-headed households and those in rural areas, underscoring their importance in supporting underserved populations. On the other hand, access to commercial banks benefits both male and female headed households but has a stronger impact in urban areas where formal banking services are more readily available. While informal financial institutions negatively affect urban households, they provide modest advantages for female-headed and rural households, serving as an alternative in areas lacking formal financial services. These findings underscore the need for targeted financial inclusion policies that address gender and regional disparities. Such policies should prioritize expanding access to microfinance and cooperatives for rural and female-headed households while also improving access to formal banking services in urban areas to enhance overall welfare.

Studies on the role of gender, family businesses, and non-family businesses in examining financial management practices, particularly in developing countries, have been largely overlooked. This research, based on the collaboration between Positive Accounting Theory (PAT) and Agency Theory, aims to explore the intervention of microfinance in micro and small agricultural enterprises (MSEs). Using a quantitative approach, the study employs the Structural Equation Model Partial Least Square (SEM-PLS) method with a sample size of 656 respondents, comprising ultra-micro and small business actors in the agricultural sector in Indonesia. The findings indicate that for micro-sized businesses, entrepreneurial success mediates the relationship between microfinance and subjective wellbeing, while in small-sized businesses, poverty reduction and entrepreneurial success fully mediate the relationship between ultra-microfinance and subjective wellbeing. Ultra-microfinance assists business owners in enhancing their financial resource capacity more easily. On the other hand, microfinance not only provides financial access but also offers training and mentorship programs, helping business owners achieve long-term success. The study also reveals that gender does not mediate the relationship between microfinance and subjective wellbeing. Gender inequality in accessing resources, differences in decision-making participation, and social norms that still limit women's roles in economic activities within the agricultural sector are contributing factors. The implication of this study is to provide insights for decision-makers in the agricultural MSME sector to enhance subjective wellbeing. It is hoped that poverty alleviation programs through microfinance initiatives, such as PNPM, can be optimally absorbed and have a positive impact on empowering business owners to reduce structural poverty, especially in the key sector of agricultural businesses.

In this digital era, collaborative management is needed to improve service quality and be supported by multiple stakeholder participation to provide optimal service. This research aims to investigate the role of collaborative governance in the quality of immigration services and the role of numerous stakeholder participation in the quality of immigration services. Investigate the correlation between supply chain service and service quality. This research method uses a quantitative method approach, research data was obtained by distributing online questionnaires via the Google Form platform. The questionnaire is designed to contain statement items on a Likert scale of 1 to 7. A 7-point Likert scale can minimize measurement errors and be more precise. The Likert scale used in this research is (1) strongly disagree, (2) disagree, (3) quite disagree, (4) Neutral, (5) quite agree, (6) agree, (7) Strongly agree. The respondents for this research were 567 senior employees of the immigration department in Indonesia who were determined using a simple random sampling method. Research data analysis uses the partial least squares (PLS) structural equation modelling (SEM) approach with data processing tools using SmartPLS 4.0 software. The variables in this research are the dependent variables, namely collaborative governance, and multiple stakeholder participation and the dependent variable is the quality of immigration services. The stages of data analysis are validity testing, reliability testing and significance testing of hypothesis testing. Based on the results of the analysis and discussion that have been presented in this research, this research uses the Partial Least Square (PLS) method for data analysis, it can be concluded as follows, it is concluded that collaborative governance has a positive and significant relationship to the quality of immigration services, multiple stakeholder participation has a positive and significant relationship to the quality of immigration services. Supply chain service has a positive and significant relationship with service quality. Implementing collaborative governance can encourage improvements in the quality of immigration services. Implementing multiple stakeholder participation can encourage improvements in the quality of immigration services.

The increasing population in Indonesia results in the rising demand for consumer goods, including salt. Meanwhile, salt production in Indonesia remains traditional, using direct methods by evaporating seawater in open ponds near the coast, producing a final product called “solar salt”. This process depends on sunlight, air, weather, and seasonal climate conditions. This research aims to analyze the technical, technological, and managerial disparities among traditional solar salt farming businesses operated by local communities across regions in Madura Island—the foremost solar salt-producing region in Indonesia. This study employs primary data collected through surveys conducted during the production season in 2023/2024 in three regencies in Madura: Pamekasan, Sampang, and Sumenep. The structured questionnaires captured the input and output data. Meta-frontier Data Envelopment Analysis (meta-DEA) was applied to assess the technical efficiency of conventional solar salt productions across the research regions. The efficiency analysis revealed that, with the current production methods, solar salt farmers achieved an efficiency rate of 46.98%, with an average technical efficiency of 80.83%. This result shows that the decision-making units (DMUs) can enhance their technical efficiency by 19.07%. Meanwhile, the technology gap ratio (TGR) analysis indicates that Sumenep Regency has the highest TGR value, nearing the threshold of 1, suggesting a relatively low technology gap in this regency. The meta-DEA decomposition indicates that the determinant of the average meta-technical inefficiency among solar salt farmers is the technological disparities, with average technological gap inefficiency (TGI) values surpassing managerial gap inefficiency (MGI) values. Conversely, Sumenep Regency has a larger MGI than TGI value, implying that solar salt farmers in Sumenep possess lower managerial decision-making skills than in other regions. The findings suggest the need to enhance the adoption of the latest production technology innovations to address technological gaps in the research locations.

The Generalized Supremum Augmented Dickey-Fuller (GSADF) technique is performed to resolve whether the Indonesian Rupiah/US exchange rate has experienced multiple explosive bubbles. The GSADF uncovers that the Indonesian Rupiah/US exchange rate deviates from the fundamental values by six times from January 1985 to September 2023, periodically indicating the presence of numerous explosive behaviors. Once the full-sample period separates into the managed-floating regime and the free-floating regime, the GSADF still detects multiple bubbles. Of particular curiosity on uncertainty trinity, this study underlines that global geopolitical risk negatively drives explosive actions in the ratio of exchange rates for non-traded and traded goods. The global economic policy uncertainty negatively affects speculative bubbles in the exchange rate and the ratio of exchange rates for non-traded. The country's geopolitical risks negatively strike only speculative bubbles in the exchange rate. Further, we find heterogeneity in our results by examining different exchange rate systems. The robustness checks further firmly ascertain across baseline empirical findings.

This research examined the connections of efficiency, regulatory and good corporate governance (GCG) variables on the achievement or performance of financial aspects and social reporting from Indonesia’s Shariah banks generally. Data and samples collected in this research include 34 Shariah banks, which are administered in the central bank, Bank of Indonesia for the year of 2009 until 2022. The financial achievement was determined with return on assets, and social reporting was determined with dummy 1 if the banks issue Islamic social reporting, and 0 otherwise. Regulation variables were measured with nonperforming financing (NPF), capital adequacy ratio (CAR), financial to deposit ratio (FDR), and net operating margin (NOM). Corporate governance variables were measured with firm age, board education, and board meeting. Efficiency variable was assessed with operating costs to revenue. The results show that regulation variables significantly impact financial achievement and social reporting, except NPF and CAR have nothing significant influence on Islamic social reporting. Efficiency variables significantly impact Islamic social reporting and financial achievement. Corporate governance variables significantly influence financial achievement and Islamic social reporting. Meanwhile firm age and board meetings have no remarkable influence on financial achievement.

This research investigates the impact of inflation on income inequality in Indonesia. This study is part of a comprehensive examination investigating which monetary policy can be utilized to lessen inequality. As a central bank objective, inflation can influence the distribution of income, wealth, and endogenous consumption, hence defining inequality. This study employed dynamic panel data analysis for linear autoregressive data using the generalized method of moments (GMM) for both first differences GMM (FD-GMM or AB-GMM) and system GMM (Sys-GMM or BB-GMM) with regional data from 58 cities in 2010-2020. The Arellano-Bond estimator reveals a positive and statistically significant association between inflation and inequality. When inflation rises, the purchasing power of the poor will decline, while the wealthiest will benefit as their non-cash assets proliferate. This study finds, indirectly, that Indonesia’s monetary policy can play a crucial role in lowering income distribution gaps. As one of the nations with an inflation-targeting framework, the Indonesian Central Bank can target the inflation rate by considering inequality. The ITF becomes the most effective monetary policy for stabilizing prices and promoting economic stability. The ITF reduces income inequality by reducing inflation rates. The study also finds that, similar to other emerging nations, economic growth in Indonesia exacerbates inequality. Poverty can be reduced by increased economic growth, but the positive impact of development on the wealthy is significantly more significant than on the poor. Therefore, economic expansion increases inequality.

Losses experienced by the Indonesian government due to floods are predicted. It is because of the significance of population growth, closure of water catchment areas, and climate change in many regions in Indonesia. The government has tried to reduce the risk but faces insufficient funds. Therefore, new innovative funding sources are essential to overcome these limitations. One way to obtain it is through issuing Flood Catastrophe Bonds (FCB). Unfortunately, Indonesia has had no FCB price estimate until now. On the basis of this problem, this study aims to estimate the FCB price in Indonesia. The primary method used is the approximation method of the aggregate loss distribution. This method can compute the aggregate flood loss cumulative distribution function value faster. The FCB fair price estimation results are cheap because the risk of the instrument is significant. This significant risk is also proportional to the large return. Finally, further analysis shows that in Indonesia, the attachment point of the FCB has a relationship that is in line with the price, while the term of FCB does not. This research is expected to assist the Indonesian government in determining the fair price of FCB in Indonesia. This research can assist the investors in choosing FCB based on expected return, attachment point, and the term they want.