ETIKONOMI
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Mediating Role of Self-Efficacy: Resiliency and Entrepreneurial Intention in Young Generation
Research Originality: While combining the TPB and Linan Model, this study provides novelty through its analysis of the underexplored role of financial resources and self-efficacy in shaping entrepreneurial intentions among the young generation.
Research Objectives: The research investigates the resilience factors that shape entrepreneurial ambition, focusing on the direct effects of entrepreneurship education, creativity, and financial resources, as well as the indirect effect of entrepreneurial self-efficacy on the relationship between these factors and entrepreneurial intention.
Research Methods: This study utilizes a questionnaire survey from 312 college students in Jakarta. Structural equation modeling (SEM) was used to analyze the data.
Empirical Results: The findings show that financial resources, entrepreneurial education, and creativity influence self-efficacy. The associations between creativity and entrepreneurial intention, as well as between entrepreneurship education and entrepreneurial intention, are significant for the indirect paths that use self-efficacy as a mediator.
Implications: We recommend that universities, governments, and other stakeholders prioritize initiatives that offer financial assistance and focus on educational programs and support systems that enhance confidence and belief in entrepreneurial capabilities.
JEL Classification: L26, I23, O1
The Generational Interest Differences in Cash Waqf Insurance
Research Originality: Cash waqf insurance is underexplored in Islamic finance, offering a unique lens for study. This research addresses the gap by examining how knowledge, perceived fairness, and perceived usefulness influence attitudes and behavioral intentions toward cash waqf insurance among Generation Z, Millennials, and Generation X.Research Objectives: The study aims to assess the impact of these factors on shaping attitudes and intentions toward cash waqf insurance. Integrating these factors into the Theory of Planned Behavior (TPB) optimizes public understanding and fosters positive engagement on cash waqf.Research Method: 437 data sets were collected from respondents across three generations and analyzed using Partial Least Squares- Structural Equation Modeling (PLS-SEM) and multi-group analysis (MGA). The study evaluates the direct effects of knowledge, perceived fairness, and perceived usefulness on attitudes, behavioral intentions, and generational differences in these relationships.Findings: Knowledge significantly affects attitudes for Gen Z and Millennials, but not Gen X. Perceived fairness strongly influences Gen X and Gen Z, but not Millennials. Perceived usefulness is a key factor across all generations, with the highest impact on Millennials.Implications: The findings highlight the need for targeted educational campaigns for younger generations and fairness-based strategies for older cohorts. Policymakers and institutions can use these insights to enhance engagement with cash waqf insurance products.JEL Classification: G22, Z12, C38How to Cite:Patriana, E., Aisyah, M., & Al Arif, M. N. R. (2025). The Generational Interest Differences in Cash Waqf Insurance. Etikonomi, 24(1), 299 – 314. https://doi.org/10.15408/etk.v24i1.41731
Orchestrating Digital Economy to Foster Economic Resilience of Smart Cities: The Soft System Approach
Research originality: This study provides new practical knowledge on the digital economy model and strategy to drive the resilient economy of smart cities.Research objective: This study aims to develop a digital economy management model for smart cities, a resilient economy framework for smart cities, and digital economy strategies for smart cities. Research methods: This study employed a soft system methodology (SSM)-action approach by involving 30 digital economy and smart city experts from Jakarta, Bandung, Semarang, Surabaya, Banyuwangi, and Makassar.Empirical result: This study has successfully developed the digital economy model for smart cities by which digital technology, digital services, and digital finance are the keys. The resilient economy of smart cities is primarily characterized by economies of scale, economic structure, and economic stability. Moreover, the strategies should mainly focus on developing infrastructure and application, digital governance and policy, and digital society.Implication: The policy maker must consider critical policy interventions of the digital economy model and economic resilience goals, including budget priorities to the key digital economy strategies.JEL Classification: M21, O14, O18, P25, R11How to Cite:Subkhan, F., Maarif, M. S., Rochman, N. T., & Nugraha, Y. (2025). Orchestrating Digital Economy to Foster Economic Resilience of Smart Cities: The Soft System Approach. Etikonomi, 24(1), 315 – 334. https://doi.org/10.15408/etk.v24i1.39224
Exploring the Regional Multidimensional Poverty Pattern in Indonesia: Does Climate Matter?
Research originality: This study develops a comprehensive regional measure of poverty using the capability approach to understand the pattern of multidimensional poverty in Indonesia.
Research objectives: This study has two objectives: first, to construct and examine multidimensional poverty levels in 33 Indonesian provinces from 2010 to 2020; and second, to investigate the association between climate variables and the Multidimensional Poverty Index (MPI).
Research methods: The MPI is measured through equal weighting of 20 indicators. A pooled ordinary least squares regression was used to study the relationship between the climate variables and MPI.
Empirical result: The findings indicate that most provinces have experienced a decrease in poverty over the past decade. However, significant inequality persists among provinces, particularly in the eastern regions of Indonesia. Further analysis reveals that temperatures exceeding 25.25 °C may lead to an increase in the MPI, while precipitation exceeding 9.5 mm/day is associated with a decrease in the MPI.
Implications: This study underscores the importance of incorporating climate change concerns, specifically increasing temperatures and unpredictable precipitation, into poverty reduction strategies and highlights the need for region-specific policies to address the multifaceted nature of poverty in Indonesia effectively.
JEL Classification: I32, O10, Q5
Risk, Liquidity, and Performance: Evidence from the Commercial Banks in Bangladesh
Research Originality: This study examines the interplay between bank risk, liquidity, and profitability in Bangladesh\u27s banking sector. Using a fresh approach, it shows their combined impact on stability and growth in emerging markets. It provides practical insights for banks to effectively manage these factors and achieve long-term resilience.
Research Objectives: The study aims to investigate the interconnected influence of non-performing loan ratios and liquidity levels on profitability, and to analyze the effects of total asset growth, loan growth, and cost-to-income ratios on these dynamics.
Research Methods: The study used a panel dataset of 31 listed commercial banks from 2012 to 2022. Ordinary Least Squares (OLS) regression was primarily employed, followed by Prais–Winsten regression with corrected standard errors (PCSEs) for correlated panels to validate the findings.
Empirical Result: The research indicates that liquidity (LIQ) has a positive impact on profitability, with the net interest margin (NIM) being significantly influenced by non-performing loans. The control variable, SIZE, also showed statistical significance in performance.
Implications: This study highlights the significance of asset quality, liquidity management, loan composition, and operational efficiency in determining bank profitability, providing valuable insights for bank managers and policymakers in emerging economies seeking to enhance their financial performance.
JEL Classification: C33, G21, G32, C5
Interconnectedness and Systemic Risk: Insights from Indonesian Financial Conglomerates
Research Originality: This research addresses the gap in existing studies by examining the time-varying volatility spillover index among conglomerates in listed financial companies in Indonesia, an unexplored area.Research Objectives: The study investigates the potential interconnectedness among financial institutions, one source of systemic risk, by analyzing volatility spillovers within conglomerates.Research Methods: Using a generalized VAR approach, we examined total volatility spillover, directional volatility spillover, and total volatility spillover indices for 14 companies from four conglomerates, utilizing daily data from 2010 to March 2023.Empirical Results: The results reveal significant interconnectedness within these conglomerates, indicating potential for systemic risk that could threaten the financial system\u27s stability. Another noteworthy finding is that the volatility transmission within banking conglomerates predominantly originates from subsidiary companies to parent companies.Implications: Regulators need to supervise spillovers at both the parent and subsidiary levels by developing regulations that address both levels to ensure effective risk management.JEL Classification: C58, G21How to Cite:Kusumahadi, T. A., Saadah, S., Permana, F. C. (2025). Interconnectedness and Systemic Risk: Insights from Indonesian Financial Conglomerates. Etikonomi, 24(1), 53 – 68. https://doi.org/10.15408/etk.v24i1.38452
Market Anomalies and Investor Behavior: The January Effect in ASEAN Countries
Research Originality: This study provides a fresh contribution to the literature on market anomalies, specifically the January Effect, within ASEAN capital markets.
Research Objectives: The objective of this research is to investigate the presence and extent of the January Effect by analyzing stock returns and abnormal returns of publicly listed companies in ASEAN capital markets.
Research Methods: Data were obtained through purposive sampling, resulting in a final sample of 153 companies. The research hypotheses were tested using paired sample t-tests.
Empirical Results: The findings indicate that the January Effect is evident in certain capital market indices within ASEAN but is not consistently observed across all markets. The presence of higher stock returns and abnormal returns in January does not conclusively confirm the January Effect in every instance.
Implications: Investors are advised to exercise caution and not rely solely on seasonal anomalies, a comprehensive approach that includes broader market fundamentals and macroeconomic indicators is essential for sound decision-making within ASEAN capital markets.
JEL Classification: E22, F21, G1
How Destination Value and Tourist Engagement in Destination Image Affect Tourist Loyalty
Research Originality: There is only a limited amount of empirical research that examines how the post-visit destination image is shaped by tourist experiences with perceived high destination value and its impact on tourist loyalty within the context of ecotourism.Research Objectives: The aim is to understand the role of perceived value and tourist engagement in the post-visit destination image concerning tourist loyalty within the context of ecotourism.Research Methods: A cross-sectional research design was used and a sample of 326 travelers was drawn from an unknown pool of customers. The analysis method used in this study utilizes SEM.Empirical Results: Destination value directly influences both tourist engagement and loyalty. Additionally, tourist engagement directly affects tourist loyalty; however, it does not mediate between destination image and tourist loyalty.Implications: The results suggest several practical implications for destination managers, who should focus more on the ecotourism context when designing visitor experiences as a source of sustainable information, as well as for governments and nonprofit organizations aiming to promote ecotourism.JEL Classification: M30, M31, M310How to Cite:Djatola, H. R., Hilal, N., & Sutomo, M. (2025). How Destination Value and Tourist Engagement Image Affect Tourist Loyalty? Etikonomi, 24(1), 97 – 118. https://doi.org/10.15408/etk.v24i1.34698
Navigating Market Volatility: ESG and Islamic Stock Performance amidst Covid-19 Stringency
Research Originality: This study examines the relationship between ESG and Islamic stocks under the exceptional circumstances of the COVID-19 pandemic. Researchers included the stock volatility and involved policy stringency, extending the recent literature focusing on accounting-based performance.Research Objectives: This study examines the relationship between ESG practices and Islamic stock performance during the COVID-19 pandemic.Research Methods: This study applied panel regression analysis. Researchers used Shariah-compliant stocks with ESG scores ranging from 2020 to 2022, resulting in 96 observations.Empirical Results: This study posits the ability of Social and Governance practices to reduce market volatility. The stringency of COVID-19 significantly affected stock volatility, highlighting the importance of government intervention during the Pandemic.Implications: These findings support the need for implementing measures and regulations that incentivize companies to adopt comprehensive ESG practices, which are expected to contribute to stock market stability, particularly during turbulent times.JEL Classification: J6, M2, O3How to Cite:Agustin, I. N., Safitri, D., Hesniati., & Robin. (2025). Navigating Market Volatility: ESG and Islamic Stock Performance Amidst Covid-19 Stringency. Etikonomi, 24(1), 69 – 84. https://doi.org/10.15408/etk.v24i1.38475
Bitcoin, Economic Freedom, and Underground Economies: A Tax Evasion Nexus
Research Originality: Our research uniquely integrates the dimension of economic freedom to assess its moderating effect on tax evasion in G-7 countries. This study also provides the latest tax evasion estimates in G-7 countries using the currency demand approach to measure the effectiveness of policies employed by the regulators to reduce large numbers of tax evasion.
Research Objectives: This study estimates tax evasion in G-7 countries and measures the impact of cryptocurrencies on tax evasion at different levels of economic freedom.
Research Method: This study employs the Currency Demand Approach to estimate tax evasion and then utilizes asymmetric/symmetric panel techniques (ARDL/NARDL) to confirm the impact of cryptocurrencies and all indicators of economic freedom on tax evasion.
Empirical Results: Our investigation unveils that cryptocurrencies significantly impact tax evasion. This study also finds economic freedom indicators\u27 asymmetric/symmetric impact and confirms the moderating impact. Economic freedom indicators significantly increase/decrease the impact of cryptocurrencies on tax evasion.
Implications: Cryptocurrencies may be given due importance while drafting tax-related policies, and policymakers must maintain the optimum levels of economic freedom where cryptocurrencies do not support tax evasion.
JEL Classification: H26, E42, O17, E26, C3