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This study aims to analyze the role and effectiveness of Islamic monetary policy in Indonesia in facing digital transformation, particularly through the instruments of Sertifikat Bank Indonesia Syariah (SBIS) and Sukuk Bank Indonesia (SukBI). The digital transformation of the national financial system demands an adaptive monetary policy that remains grounded in the principles of maqashid shariah. In the context of Islamic economics, monetary policy not only functions to regulate the money supply and maintain price stability but also ensures the realization of justice and economic welfare. This research employs a descriptive qualitative approach, using literature-based data collection from official publications of Bank Indonesia, the Financial Services Authority (OJK), and relevant academic references on Islamic monetary policy. The analysis adopts an inductive approach by examining the roles of SBIS and Sukuk BI in supporting the stability of the Islamic financial system and their alignment with maqashid shariah values such as al-‘adl (justice), al-wudhuh (transparency), and ar-rawaj (circulation of wealth). The findings indicate that digitalization has positively impacted the efficiency and transparency of Islamic monetary instruments, where SBIS plays a role in regulating the liquidity of Islamic banks in a non-usurious manner, while Sukuk BI serves as an essential instrument in maintaining national economic stability. Nevertheless, challenges remain, including the limited digital infrastructure for Islamic finance and the need to strengthen regulations to ensure that digital monetary systems remain consistent with sharia principles.

This study investigates Indonesia’s long-term economic transformation across four pivotal eras: the colonial period, the Old Order, the New Order, and the Reformasi era. Employing a descriptive qualitative design with historical analysis, the research elucidates how political transitions, institutional reforms, and global dynamics have interacted to shape the nation's economic architecture. Results indicate that colonial legacies entrenched deep structural inequalities and a dualistic economy, creating a path dependency that continued to influence policy direction after independence. During the Old Order, efforts to assert economic sovereignty were constrained by macroeconomic instability, limited state capacity, and shifting political coalitions. The New Order marked a turning point toward industrialization, macroeconomic stabilization, and openness to foreign investment, generating high growth but also deepening inequality and dependence on external capital. Entering the Reformasi era, decentralization, democratization of governance, and fiscal transparency reshaped institutional frameworks; however, persistent challenges such as regional disparities, productivity gaps, and vulnerability to global shocks remain evident. The study concludes that Indonesia’s economic evolution is non-linear, shaped by historical constraints and gradual institutional adaptation rather than abrupt shifts. Strengthening governance, enhancing domestic industrial competitiveness, and expanding inclusive development policies are essential strategies for supporting long-term resilience. These findings highlight the importance of continuity in policy reform to achieve sustainable growth and to realize the national vision of Indonesia Emas 2045.

This paper discusses the role of the global minimum tax in addressing tax avoidance by multinational corporations in Indonesia. This policy is the result of an agreement between the OECD/G20 (Organization for Economic Co-operation and Development) in the Base Erosion and Profit Shifting (BEPS) 2.0 project, which aims to reduce global tax avoidance practices by multinational corporations (MNEs). With a minimum rate of 15%, the GMT is expected to create fiscal justice and strengthen the tax base in developing countries like Indonesia. This research uses a qualitative approach based on a review of literature from the OECD, IMF, and academic journals. The analysis shows that the implementation of the GMT has positive potential in increasing state revenues, but also poses administrative challenges and the risk of reducing investment competitiveness. The Indonesian government needs to adjust tax regulations and strengthen fiscal administration capacity to optimize the benefits of this policy. This study also confirms the importance of international cooperation in the successful implementation of the GMT and reducing the potential for tax avoidance by multinational corporations. Furthermore, regular monitoring and evaluation are needed to assess the impact of this policy on the Indonesian economy and to ensure that the implementation of the GMT does not hinder economic growth and investment in strategic sectors.

Local government accounting policies provide the foundation for financial reporting. The Budget Realization Report (LRA) compares budgeted and actual figures, with the resulting balance recorded as the Sisa Lebih Pembiayaan Anggaran (SILPA, excess financing surplus). This study in East Lombok Regency aims to quantify the SILPA in the 2024 APBD and to analyze the financial accounting policies used in its determination. A descriptive approach combining qualitative and quantitative methods was applied. Data were collected via structured interviews with local finance officials, observations, and document analysis of APBD financial reports. Qualitative data were reduced and presented to describe policy factors, while quantitative analysis computed the SILPA value. Results show the 2024 LRA recorded a SILPA of IDR 6,414,658,153.17, indicating unused budget funds. These funds will finance the 2025 budget deficit for investment and equity in regional companies. The accounting policy for SILPA determination considered key principles such as prudence, substance over form, and materiality, in accordance with government accounting standards (e.g. applying the conservatism principle to avoid recognizing uncertain revenues). This analysis highlights how regional financial policies influence the management of budget surpluses.

This study analyzes the economic phenomenon known as the "Purbaya Effect" in the Indonesian capital market during the second half of 2025. This phenomenon is characterized by a significant surge in the Jakarta Composite Index (IHSG), which broke the All-Time High (ATH) record 21 times within four months following the appointment of Purbaya Yudhi Sadewa as Minister of Finance. Using a mixed-methods approach combining quantitative market data analysis and qualitative policy review, this research finds that the "Purbaya Effect" is driven by aggressive liquidity injection policies (Rp 200 trillion), institutional trust built during his tenure at LPS, and strong narrative economics. However, this study also identifies significant risks related to exchange rate volatility and potential economic overheating. The findings suggest that while the "Purbaya Effect" successfully restored short-term investor confidence, long-term sustainability depends on the balance between growth acceleration and macroeconomic stability.

The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

This study examines the determinants of green innovation and its impact on sustainable business performance among micro, small, and medium enterprises (MSMEs) in the Bandung Raya region of Indonesia. Specifically, the study analyzes the influence of environmental knowledge and market pressure on green innovation, as well as the effect of green innovation on sustainable performance. A quantitative approach was employed using data from 150 MSMEs, and structural relationships were tested through multiple regression analysis. All measurement instruments demonstrated high reliability (Cronbach’s Alpha 0.89–0.95) and validity (corrected item–total correlation > 0.80). The results reveal that environmental knowledge has the strongest positive and significant effect on green innovation (β = 0.728; p < 0.001), indicating that MSMEs with greater environmental awareness are more likely to adopt eco-friendly innovations. Market pressure also significantly influences green innovation (β = 0.257; p < 0.001), demonstrating the role of consumer expectations, competition, and green product trends in shaping sustainable business practices. Furthermore, green innovation has a very strong and significant impact on sustainable business performance (β = 0.847; p < 0.001), suggesting that eco-friendly practices enhance cost efficiency, customer satisfaction, firm reputation, and environmental outcomes. Overall, the study highlights the importance of combining internal awareness with external pressures to foster green innovation and strengthen sustainability among MSMEs. The findings provide theoretical contributions to green innovation and sustainability frameworks, while offering practical implications for MSMEs, policymakers, and business support institutions.

Belawa Village, located in Lemahabang District, Cirebon Regency, West Java, is famous for the Labi-labi Belawa tourist attraction. This study aims to develop a sustainable tourism village at the Cikuya Tourist Attraction in Belawa Village. This model is expected to be an integrated solution to support the implementation of sustainable tourism. The research method used is descriptive qualitative, with quantitative data analysis. The results of the study show that the implementation of sustainable tourism in Cikuya is evident through environmental preservation and the conservation of the Belawa turtle habitat. Although the management is not yet optimal, there are practices of utilizing organic waste, such as chicken manure for animal feed and coconut shells for souvenirs, supporting the circular economy concept. Community participation in cultural activities also supports the social and cultural aspects of sustainable tourism, although it is still incidental and has not yet been programmed sustainably. However, the implementation of sustainable tourism in Cikuya is not yet fully optimal, despite having strong natural and conservation potential. Structural and operational barriers, such as accessibility, human resources, institutional governance, economy, socio-culture, and policy support, affect the effectiveness of applying sustainability principles.

Government expenditure is a great reason in economic stability and its impact on the balance of payments is dire. In this light, this paper seeks to use the time series analysis method and the ARDL model to investigate the association between the balance of payments of Iraq and the public spending within the 2004-2023 period. The Eviews 13 software was used to analyse it. The findings show that there is a positive association between spending by the people and balance of payment especially at the short run. The latter findings indicate that the efficiency of government expenditure reform is a necessary tool to accomplish the expansion and close the balance of payments deficit. This study highlights the importance of strategic fiscal policies and government spending in achieving a balanced economy and sustainable growth. Additionally, it emphasizes the need for continuous monitoring and adjustment of public spending to ensure its alignment with national economic objectives. The findings contribute to the understanding of fiscal policy implications in developing economies, especially in the context of Iraq’s economic challenges.  

Global concern on climate change has encouraged policymakers and central banks to adopt green financial instruments such as green bonds within sustainable monetary frameworks. Research on the integration of green bonds and monetary policy has grown rapidly in recent years, reflecting wider trends in sustainable finance, climate risk management, and central bank policy innovation. Green bonds play an important role in supporting low-carbon transitions and can influence monetary operations through asset purchases and collateral policies. This study applies a bibliometric analysis of publications on green bonds and monetary policy indexed in Scopus from 2021 to 2025. Using bibliometric methods with VOSviewer and R Studio, the analysis maps dominant themes, co-authorship networks, and the evolution of green monetary studies. The results show strong growth in research output, high levels of international collaboration, and a concentration on sustainable development and green finance. However, fewer studies address climate policy uncertainty and geopolitical risk, even though these factors are highly relevant to financial stability and the effectiveness of monetary policy. Future research in these underexplored areas could provide stronger scientific foundations for building more adaptive and resilient monetary systems in both developed and emerging economies.

Shaping central banking for sustainability has become increasingly relevant as climate change and the pursuit of sustainable development challenge the conventional scope of monetary policy. Green monetary policy reflects efforts to align central banking with environmental and economic objectives, yet the scholarly literature on this issue remains fragmented. This study employs a bibliometric approach using R Studio (Bibliometrix) to analyze publications indexed in Scopus from 2015 to 2025. The dataset comprises more than 1,200 documents with an annual growth rate of nearly 12%, signaling the rapid expansion of research in this field. Bibliometric techniques, including citation mapping, co-authorship analysis, and keyword co-occurrence, are applied to identify influential authors, sources, and thematic clusters. The results indicate a steady increase in international collaboration and a consolidation of research themes, reflecting the growing importance of sustainability in central banking discourse. This study is expected to contribute by providing a structured overview of the intellectual landscape of green monetary policy, clarifying its links with sustainable development and climate change, and offering guidance for future research and policy innovation in sustainable central banking.

The digital economy and e-commerce are rapidly transforming global markets, driving efficiency, inclusivity, and innovation. However, these developments also produce unintended consequences, particularly regarding environmental sustainability. This study aims to examine the relationship between digital transformation, the expansion of e-commerce, and their impact on carbon emissions and socio-economic outcomes. Using bibliometric analysis and VOS Viewer to map and analyze research trends from leading academic databases, this paper identifies key themes, knowledge clusters, and research gaps in the intersection of digital economy, logistics, and sustainability. The findings indicate that technological advances foster economic growth and greater accessibility but simultaneously contribute to rising energy consumption, logistics intensity, and carbon footprints. These results highlight the dual nature of digitalization as both a catalyst for inclusive development and a driver of environmental pressures. The study argues that an integrated policy framework is crucial to leverage the benefits of digital transformation while mitigating its environmental costs. It emphasizes the importance of green innovation, sustainable infrastructure investment, and inclusive e-commerce practices as key strategies for ensuring long-term socio-economic resilience. Ultimately, the paper contributes to the policy discourse by positioning innovation, inclusivity, and environmental stewardship as complementary rather than competing forces, thereby offering a pathway for future digital economy development that is both equitable and sustainable.

This study aims to map the intellectual structure and research trends in entrepreneurial innovation using bibliometric analysis based on Scopus data. A total of 891 documents published between 1972-2025 were analyzed through Bibliometrix and Biblioshiny, employing techniques such as bibliographic coupling, co-authorship, and thematic mapping. The results reveal four major clusters: (1) innovation theory and entrepreneurial development, (2) business model innovation and digital transformation, (3) regional innovation systems and policy frameworks, and (4) sustainability and green entrepreneurship. Emerging themes include artificial intelligence (AI), generative AI applications, and digital entrepreneurship education, indicating a shift toward multi-level and interdisciplinary integration. Influential documents and authors were identified, highlighting their role in shaping the knowledge base. The findings suggest that entrepreneurial innovation research is evolving toward digitalization, sustainability, and policy-driven ecosystems, offering opportunities for longitudinal and mixed-method studies. This study contributes by providing a comprehensive overview of the field, identifying gaps, and proposing future research directions to strengthen theoretical and practical advancements.

Economic forecasting is becoming increasingly important year after year, especially during crises such as the pandemic of COVID-19 and the Russia-Ukraine war. Its development can be seen from the use of basic statistical models to the increasingly widespread use of machine learning technology. Economic forecasting plays an important role in helping to formulate policies and is also a reliable tool for researchers in dealing with uncertainty. Global crises, such as inflationary pressures due to the pandemic and supply chain disruptions from the Russia-Ukraine conflict, have prompted increased research in this field in an effort to anticipate economic shocks and emphasize the urgency of forecasting to prepare strategies for dealing with future uncertainty. This literature review uses the Scopus database with 2561 publications from 2020 to 2025, analyzed using R Studio with a bibliometrix approach (specifically biblioshiny) and VOSviewer to map relevant thematic connections. This analysis shows that economic forecasting is greatly influenced by market uncertainty and geopolitical factors, and at the same time influences public policy formulation and financial stability. Research contributions from Indonesia are still limited, with only 40 documents, thus emphasizing the need to strengthen economic forecasting studies in Indonesia to support monetary policy and national financial stability.

The concept of green business performance has been an interesting topic for research among well-known scholars. Green business has become crucial for advancing sustainability and fostering innovation. Green business performance has become the global requirement due to the recent economic disaster, and green measures have been considered the leading solution for it. This study aims to explore how sustainability intersects with strategic business practices, offering actionable insights for aligning environmental sustainability with economic growth. To find worldwide research trends, bibliometric analysis was performed using R studio and VOSviewer software on 3007 scientific publications from Scopus from 2021 to 2024. Bibliometric analysis uses key words to enable the study of specific details, within the main topics of research, within a domain, and relationships at the micro-level. These methods facilitated an in-depth exploration of the evolution and impact of green business for sustainability. This study bridges existing gaps by providing actionable insights into how green business drive sustainable development, offering value to researchers, policymakers, and business leaders seeking to integrate environmental sustainability with economic growth.

Green innovation has become a crucial approach to addressing sustainability challenges within global economic and environmental contexts. This study maps the development of green innovation research through a bibliometric analysis using data from the Scopus database covering the period 2021–2024. Bibliometric techniques were applied with VOSviewer and R Studio to examine publication trends, citation patterns, author collaboration, and keyword networks. The results show a significant growth of publications in the last five years, with major themes focusing on sustainable development, environmental technology, and economic implications of green innovation, while leading contributions come from China. Influential journals in innovation and environmental management are identified as key publication outlets, and keyword analysis reveals the integration of green innovation into sustainability strategies and economic policy discussions. This study contributes to a clearer understanding of the intellectual structure and emerging directions of green innovation research, offering insights for scholars, business practitioners, and policymakers in advancing sustainable innovation practices.

Financial inclusion has become a key driver in promoting sustainable development, especially in the era of Industry 4.0, which is characterized by rapid digitalization, technological innovation, and the transformation of financial services. Although academic interest in this topic continues to grow, research in this field has not been systematically mapped, resulting in limited understanding of global trends and thematic evolution. This study uses bibliometric analysis (BA) to explore developments, intellectual structures, and key research focuses in financial inclusion research. Data were collected from the Scopus database for the period 2015–2025, using keywords related to financial inclusion, thus ensuring a comprehensive dataset for analysis. Bibliometric methods were applied using analytical tools such as VOSviewer and R Studio to support the assessment. The results of the analysis show a consistent increase in the number of publications over the last decade, reflecting growing academic attention. The main contributions came from India, China, and the United States, with increasing participation from universities in Africa and Southeast Asia through international collaboration. The main research focus has shifted from microfinance and poverty alleviation to more digital-oriented themes, including fintech, digital finance, blockchain, and green finance. This study contributes by mapping the structure and trends of financial inclusion research and providing insights for policymakers and academics in developing inclusive financial systems that support national strategies such as the SNKI, MSME digitalization, and financial literacy programs in Indonesia to achieve sustainable development goals.

Global climate change has prompted analysis of emission control policies, including carbon trading mechanisms and carbon taxes, to achieve a low-carbon economy. This study utilizes a bibliometric approach (2020–2025) with the Scopus database, which is processed using the RStudio application with Bibliometrix and Biblioshiny analysis and also uses the VOSviewer application, to identify publication trends and the effectiveness of emissions policies in different economic contexts, such as G20 countries or developed countries with developing countries. Thematic analysis results show dominant topics such as emissions trading, carbon capture, renewable energy, and a focus on economic development and technological innovation. The reviewed literature confirms that higher carbon tax rates are more effective in reducing emissions in G20 countries, while in developing countries, the implementation of a combination of strict carbon taxes and emissions trading mechanisms can promote substantial decarbonization. Overall, this bibliometric study confirms the growing research interest in green economy solutions and supports the urgency of adaptive, evidence-based emissions policies in various economic contexts.

This study aims to analyze the implementation of artificial intelligence in economics learning within the context of the Merdeka Curriculum and to examine its alignment with deep learning principles. The study employed a qualitative approach using a case study design conducted at SMAN 1 Boyolali. The research participants included economics teachers and eleventh grade students. Data were collected through classroom observations, in depth interviews, and document analysis. Data analysis was carried out interactively through data reduction, data display, and conclusion drawing and verification. The findings indicate that the use of artificial intelligence in economics learning remains limited and has not been systematically integrated into pedagogical design. AI is primarily utilized as a supporting tool for lesson preparation and concept clarification rather than for adaptive learning, data driven assessment, or the enhancement of students’ critical thinking skills. Although students demonstrated positive responses toward AI assisted learning, several constraints were identified, including teachers’ limited pedagogical competence in AI integration, the absence of deep learning based instructional design, and infrastructural challenges. These findings suggest that the effectiveness of artificial intelligence in economics education depends not merely on technological availability, but on the alignment between pedagogy, curriculum policy, and human resource readiness.

This study aims to examine the impact of green economy initiatives on Indonesia’s GDP growth, with a particular focus on public perceptions of sustainable economic practices. The research employs a descriptive quantitative approach, collecting primary data through an online survey administered to twenty respondents. The survey measured perceptions related to sustainable innovation, environmentally friendly resource management, and energy efficiency as key components of green economy implementation. The findings indicate that respondents hold a generally positive view of green economy practices, as reflected in a high average score of 4.24, suggesting strong agreement regarding their implementation and potential benefits. In addition, perceptions of economic development linked to green initiatives were also rated highly. These results imply that the public perceives a meaningful relationship between the adoption of green economy principles and long-term economic prosperity in Indonesia. Further analysis suggests that green practices can contribute to increased income levels, improved social welfare, and enhanced productivity, while simultaneously supporting environmental sustainability. From a practical perspective, the study highlights the importance of greater community participation, stronger policy commitment from the government, and increased green innovation by corporate entities. Theoretically, the results support existing economic and sustainability theories that emphasize the role of green economy strategies in fostering resilient, inclusive, and equitable economic growth. Overall, this study reinforces the relevance of green economy initiatives as a viable pathway toward sustainable national development.