Financial System Research Articles

Disclosure of Transparency, Accountability and Value for Money Concept in Public Sector Financial Management: A Systematic Literature Review

This study aims to examine the implementation of transparency, accountability, and the concept of value for money in public sector financial management. The method used is a Systematic Literature Review (SLR), selecting relevant articles from the Scopus database published, the research identifies these principles as crucial in enhancing efficiency, effectiveness, and public trust. The results indicate that transparency and accountability play a crucial role in improving public financial governance and significantly contribute to enhanced financial management efficiency and public trust. The concept of value for money, focusing on efficiency, economy, and effectiveness, is essential in ensuring that each budget expenditure provides maximum benefits and proves beneficial in optimizing budget use. However, challenges such as a lack of information transparency, public involvement, and regulatory constraints remain obstacles to its implementation. Therefore, improving the quality of financial information systems and strengthening human resources capacity are essential for achieving better public financial management and enhancing public service quality.

Russian Experience in Legal Regulation of BRICS Investment Platforms

Aim. The article aims to formulate the problem of formation of such type of investment institutions as investment platform in BRICS.Tasks. The objectives of the article are defined by the fact that the executive director of the Russian Direct Investment Fund proposed to create a joint investment platform of BRICS countries, allowing BRICS members to invest more actively in the economies of their partners. And as is known, BRICS countries currently play a significant and constantly growing role in world politics and international relations. Methods. In the process of research the set tasks were solved by the author usin g general scientific (historical, dialectical, systemic, logical, method of analysis) and legal (comparative legal, sociological, axiological) research methods.Results. The result of the research is the proposal based on the Russian experience of regulation of platform services (financial platforms, investment platforms and information systems) on the formation on the basis of the Russian regulation model of the concept of building the corresponding institution within BRICS. At the same time, the article also draws attention to possible problems that may arise during the preparation of the relevant international act. In particular, the implementation of this initiative raises a wide range of technical, economic and legal issues that require detailed consideration.Conclusions. When choosing specific investment methods that can be used on such a platform, it is necessary to take into account the needs of businesses and the population, both in the long-term and short-term attraction and placement of resources. In particular, legal regulation of the choice of the legal regime for investment should influence the choice of the legal status of entities that will be admitted to such a platform, highlighting, for example, qualified investors or retail investors.

Has the application of sanctions against financial institutions involved in money laundering had a deterrent effect?

Money laundering is one of the crimes that has a wide impact, both economically and socially. With the increasing complexity of global financial networks, financial institutions must be more responsible in preventing money laundering practices. The existence of strong and transparent financial institutions is essential to maintain the integrity of the financial system. Using normative juridical research methods, this study analyzes the regulations that govern sanctions and law enforcement practices. The purpose of this study is to evaluate whether the sanctions applied have provided a deterrent effect to financial institutions that violate the law. The results of the study show that although there are several institutions affected by sanctions, in general, the implementation of sanctions has not been effective in providing a significant deterrent effect. These obstacles arise due to the lack of strict supervision, weak international cooperation, and inconsistencies in law enforcement. In addition, the proactive attitude of financial institutions in fulfilling reporting obligations also needs to be improved. Therefore, reforms in the sanctions system and improved law enforcement mechanisms are needed to create a stronger deterrent effect against financial institutions involved in money laundering

Foreign direct investment inflow and the economic growth nexus in Tanzania

PurposeA shortage of investment capital is one of the main issues facing most developing economies, including Tanzania. Policymakers, economists, and governments in these countries have been debating how to overcome this obstacle and improve economic growth through foreign direct investments (FDI). The present study endeavors to examine the relationship between FDI and economic growth in Tanzania during the period of 1991–2021. The analysis considers financial development, capital formation, and labor force involvement as intermediation variables.Design/methodology/approachThe study uses time series data to estimate an autoregressive distributed lag (ARDL) model, as well as Granger causality tests to investigate the relationship between the variables under study.FindingsThe findings show a long-run co-integration between the studied variables. However, only FDI and labor input have a significant impact on gross domestic product (GDP) growth in both the short and long run. Bidirectional causality exists between FDI, labor input, and GDP growth in the short and long run.Practical implicationsThis study contributes to an understanding of the relationship between inbound FDI, labor input, and economic growth in Tanzania, as well as updating the government to improve its financial system to gain more from FDI inflows and hence boost growth-enhancing effects.Originality/valueThis study provides insight into the relationship between inbound FDI and economic growth in Tanzania, which is a critical policy concern in developing economies. Extant studies’ results remain controversial, and this is the first study in Tanzania to investigate the FDI-growth nexus, by considering financial development, capital formation, and labor input simultaneously.

Proof Of Criminal Origin Related To Money Laundering In Mutual Fund Investment Activities In Supreme Court Decision Number 2937 K/Pid.Sus/2021

The crime of money laundering in the form of mutual fund investments is a serious crime that can threaten the stability of the financial system and economy. Perpetrators use mutual funds as a means to disguise the origin of illegal funds resulting from criminal acts, such as corruption, which are then invested as if they were legitimate funds. This not only harms the country financially, but can also reduce investor confidence in the mutual fund industry. Therefore, it is important to examine the criminal liability of perpetrators of money laundering in mutual fund investments in order to maintain the integrity of the financial system and provide a deterrent effect for perpetrators of similar crimes. This research is aimed at analyzing the legal regulation of criminal acts of money laundering in mutual fund investment activities in Indonesia, proof of predicate crimes related to criminal acts of money laundering in mutual fund investment activities in Supreme Court Decision Number 2937 K/Pid.Sus/2021, as well as criminal responsibility for perpetrators of these crimes. money laundering crime in mutual fund investment activities in Supreme Court Decision Number 2937 K/Pid.Sus/2021.The research method used is normative juridical research, which is supported by primary and secondary data sources. All legal materials were collected using library research techniques using document study data collection tools. Apart from that, field studies were also carried out using interview methods and analyzed qualitatively.The results of the research and discussion concluded that the legal regulations related to the crime of money laundering in mutual fund investment activities in Indonesia are as regulated in Law Number 8 of 2010. Based on Supreme Court Decision Number 2937 K/Pid.Sus/2021, it can be concluded that the defendant Benny Tjokrosaputro proven to have committed a criminal act of corruption together with other parties in managing investments at PT Asuransi Jiwasraya (Persero) which caused state losses amounting to IDR 16.807 trillion, as well as a money laundering crime of IDR 6.078 trillion, so he was sentenced to life imprisonment and payment of compensation to the state, based on valid evidence at trial and the fulfillment of the elements of the criminal act in accordance with the articles charged.

PREREQUISITES FOR THE APPLICATION OF MONETARY POLICY TOOLS OF THE "NEW REALITY" IN THE CONDITIONS OF THE GEOPOLITICAL IMPACT OF MILITARY AGGRESSION IN UKRAINE

The prospects of using a new type of monetary policy instruments, which determine modern significant changes in the development of global financial, economic and social relations, caused by the geopolitical influence of military aggression in Ukraine, are studied. Not only the negative financial and economic impact on the country victim of hostilities, i.e. Ukraine, was established. Problems with inflation and debt were also identified in the G7 countries, as well as in China due to the consequences of the war in Ukraine. It was determined that the financial system of countries that have close trade and monetary transactions with developed market countries will also have a significant impact of the global crisis. The financial and economic indicators of Ukraine, the G7 countries and China for the medium term are predicted. The influence of the main financial threats on the macroeconomic stability of the country's economy in the conditions of military aggression is determined, and the main instruments of monetary policy that would allow maintaining such stability are indicated. It is noted that the use of a new type of monetary policy in modern realities, based on non-traditional instruments, will contribute to overcoming the negative impact of military aggression in all countries that experience it.

Indonesia’s financial resilience: Between optimism and risk

This study aims to evaluate the relationship between financial resilience, exchange rate, inflation, and economic growth from 1996 to 2022 using secondary data from the World Bank. The analysis method uses vector autoregressive to understand the causality dynamics between these variables. The results show that past economic growth positively impacts current economic conditions, but an increase in the exchange rate can hinder economic growth. The exchange rate also tends to be influenced by previous values, but high economic growth does not always increase the exchange rate. Previous conditions significantly affect financial resilience and can be strengthened by a strong currency. Meanwhile, inflation has an inverse relationship with economic growth, where past inflation seems to suppress current inflation, which price stabilization policies can cause. From an institutional economics perspective, this study provides an understanding of the interaction between various economic factors in the structural framework and policies that regulate economic activities. The impulse response function (IRF) shows that economic growth can react strongly to sudden changes, although this reaction may not last long. The exchange rate fluctuates with economic changes, reflecting market optimism and uncertainty. Financial resilience may be strong initially but may weaken over time, indicating the need for policies to strengthen the financial system to ensure economic stability. Furthermore, the role of social capital in economic resilience is highlighted as it can amplify the positive effects of a robust institutional framework by fostering trust and collaboration among economic actors. Inflation reacts differently to economic changes, challenging policymakers to balance growth and price stability. Overall, the IRF provides insights into how economic variables interact with each other and react to sudden changes, albeit with some uncertainty in the estimates. The forecast error decomposition variance (FEVD) analysis in this study reveals that internal factors initially influence economic growth, but over time, external factors such as the exchange rate, financial resilience, and inflation come into play. The exchange rate, which was initially volatile due to internal factors, becomes increasingly influenced by economic growth, indicating a close relationship between the economy and the foreign exchange market. From an institutional economics perspective, financial resilience, which was initially stable due to internal factors, becomes increasingly dependent on global economic conditions, suggesting the importance of a solid institutional framework for maintaining economic stability. In addition, inflation, which was initially explained by economic growth and exchange rates, has gradually become more influenced by financial resilience, indicating the importance of effective monetary policy in controlling inflation. This study highlights the importance of understanding how economic variables influence each other for effective economic governance. Integrating institutional economics and social capital perspectives provides a comprehensive framework for enhancing financial resilience and promoting sustainable economic development in Indonesia.

Universal Health Care Coverage for Aging Population

The term Universal Health Coverage (UHC) refers to a situation where “all people (both males and females, boys and girls) have access, without financial hardship, to the full range of type of quality health services when and where they need them, now and at times”. The UHC envisages coverage of the full range of essential health care services: from health promotion to (1) ‘Prevention’, (2) ‘Treatment’, (3) ‘Rehabilitation’, and (4) ‘Palliative care’ [aimed at improving quality of life of people (adults and children) and their families confronted with life-threatening illness]. It is pertinent to note that the UHC aligns with the SDG (Sustainable Development Goal) Target 3.8: achieve universal health coverage. The UHC is, thus, global commitment. However, in to deliver this promise, national governments need and inter-governmental organizations need to have health systems that are rooted in the locations communities they serve. Also, such health systems need to be • Need-based, • Efficient, and • Equitable. The author of this review paper argues that Primary Health Care (PHC) is the most effective and cost-efficient way to reach out to people with the UHC, with consideration of “need-based approach”. Further, it is due to this consideration of need-based theory that every country, with its own socio-economic and demographic profile, adopts a different strategy for the purpose of achieving the UHC. Furthermore, national governments decide what to cover, depending on the needs of their populations, including availability of health infrastructure (resources). Investment in the scientifically designed UHC programs has the potential to ensures that health needs of people are (a) ‘Identified’, (b) ‘Prioritized’, and (c) ‘Addressed’. The conceptual framework of the UHC is of increased relevance for aging population (individuals above the age of 65). The author of this work is of the considered research view that objective of achieving the SDG-3.8 target cannot be fully and adequately realized without transforming health care system that has significant impact on functional ability in older age people (or aging population). Objective of this evidence-based review paper is to investigate into significance and implications of the UHC for aging population. Also, it briefly outlines renewed strategies needed for the UHC for aging population. Secondary data (largely ‘qualitative’ in nature) have been used. The method of data analysis is ‘descriptive’, involving non-statistical (mathematical) techniques. The paper briefly concludes that scientifically-designed mechanism for offering the UHC for older people, without financial burden, is crucial. It is important that health financing systems of the national governments are designed to cater to health needs of older people, while protecting them from to access services when they are needed, but also to protect them from financial catastrophe (by abolishing “out of pocket spending”).

Does the Disclosure of Proprietary Information About Loan Losses Pose a Threat to Financial Stability?

AbstractConcerns have been expressed that public disclosure of outcomes from regulatory inspections of banks could lead to contagion and instability in the financial systems. This paper exploits Denmark's system of open inspection reports to analyze whether announcements of required increases in loan loss reserves by the Danish supervisory authorities, following an ordinary bank inspection, lead to contagion in financial markets. We find strong evidence of negative returns for the announcing banks over the period 2009–2020, suggesting that inspection reports containing proprietary information about loan losses provide value-relevant news to investors. We also find statistically significant contagion effects in the share price reactions among non-announcing peer banks. However, the reactions of other, non-affected banks are mild and confined to smaller banks, which is reassuring from a systemic risk perspective. Overall, our findings support the use of accounting disclosures as a policy tool for bank supervisors.

Uma proposta para a criação de democracias solidárias

The neoliberal ideology, which has prevailed almost everywhere in the world in the last 40 years, has been accentuating them. Today, the existence of a plutocratic oligarchy is increasingly evident, with excessive power for societies that claim to be democratic. When they use the term “liberal democracy” to designate the societies in which we live, we have to consider it a euphemism. We do live in neoliberal plutocracies, in which a tiny percentage of citizens have excessive and illegitimate power, always entrenched in the financial system, keeping the States hijacked. If this situation is unacceptable, it is also a situation in which remuneration inequality is so blurred that it prevents rewarding the social merit of each citizen's activity. This proposal attempts to find a balance between these two extremes. On the one hand, not allowing the existence of plutocratic oligarchies, but allowing the social merit of each citizen's activity to be rewarded, within socially acceptable limits.

Machine learning techniques for enhancing security in financial technology systems

The financial technology (fintech) industry has transformed the way financial services are delivered, offering enhanced convenience, accessibility, and efficiency. However, this rapid digitization has also increased the sector’s exposure to a wide array of security risks, including cyberattacks, fraudulent activities, data breaches, and insider threats. As traditional security measures struggle to keep pace with the growing sophistication of these threats, machine learning (ML) techniques have emerged as promising tools for reinforcing security in fintech systems. Machine learning models can analyze vast amounts of data, detect anomalous behavior, predict potential risks, and respond to security threats in real-time. This paper explores the potential of machine learning to enhance security in financial technology by addressing key challenges such as anomaly detection, fraud detection, intrusion detection systems (IDS), and risk management. We provide an overview of common machine learning algorithms—such as decision trees, neural networks, support vector machines (SVM), and clustering methods—that are applied to these security tasks. Additionally, we discuss the evaluation metrics used to measure the accuracy, precision, recall, and overall effectiveness of these models. Through real-world case studies, we highlight successful implementations of machine learning in fintech security, offering insights into best practices and lessons learned. Despite the many benefits, there are also significant challenges and limitations associated with the adoption of machine learning in fintech, including concerns over data privacy, the accuracy and reliability of models, and the computational resources required for large-scale deployment. Looking ahead, this paper identifies emerging trends and potential innovations that could further enhance security in fintech, from advancements in deep learning to the integration of artificial intelligence with blockchain technology. Finally, we propose areas for future research to address unresolved issues and support the continued development of machine learning-driven security solutions in the fintech industry.

The Role of Technology in The Transformation of Accounting Financial Audit Case Study of Blockchain Implementation in The Audit Process

With the increasing number of cyber attacks and data security breaches, the protection of financial information is becoming increasingly important. Conventional financial audit systems may not have adequate mechanisms to protect sensitive data from the rapidly evolving digital security threats. The aim of this research is to determine the role of technology, particularly blockchain technology, in transforming the financial audit process in accounting practice, and to understand the impact of implementing blockchain technology in the financial audit process on the efficiency, transparency, and accuracy of financial information. The research method used in this study is a Systematic Literature Review (SLR). The results of this study indicate that the use of blockchain technology in financial audit practice provides an effective solution for improving the integrity, reliability, and quality of financial reports presented by companies. Keywords: technology, financial audit, blockchain

Determinants of Public Support for Fee-Contracts in Uzbekistan's Higher Education

This study examines the impact of fee-contract funding (FCF) systems on state higher education (SHES) in Uzbekistan, addressing a gap in existing literature that has primarily focused on standard tuition fees and state subsidies without exploring fee contracts, especially in emerging markets. Using a logistic regression analysis on survey data from 120 participants, the study aims to identify predictors influencing policy support for fee contracts. Findings indicate that income level and education are the strongest predictors of policy favorability, while cultural factors elevate support for "fee contract will make college access easier" as a predictor, though with weaker direct effects. Age and private sector contributions, though correlated with the outcome, were not statistically significant. These results suggest that policy elites in high-income and educated groups favor FCF systems, yet promoting fee contracts as accessibility-enhancing may garner broader support. The study underscores the need for policy interventions and expanded financial aid to promote equitable access, recommending further research into the long-term social and economic effects of fee contracts in similar contexts.

Machine learning algorithms to prevent fraudulent transactions in real-time

In the rapidly evolving landscape of digital finance, the proliferation of online transactions has been accompanied by a significant increase in fraudulent activities. This paper explores the application of machine learning algorithms to detect and prevent fraudulent transactions in real-time, thereby enhancing the security and reliability of financial systems. We investigate various machine learning techniques, including supervised learning models such as Random Forest, Logistic Regression, and Neural Networks, as well as unsupervised methods like anomaly detection. By leveraging these algorithms, we aim to identify patterns and anomalies indicative of fraudulent behavior. Our approach integrates robust preprocessing techniques and real-time data analysis to ensure high accuracy and efficiency. The results demonstrate that machine learning models can significantly reduce the incidence of fraud, providing financial institutions with a powerful tool to safeguard their customers’ assets. This study underscores the potential of machine learning to transform fraud detection, offering a scalable and adaptive solution to one of the most pressing challenges in the financial sector

Leveraging big data analytics to combat emerging financial fraud schemes in the USA: A literature review and practical implications

The rise of emerging financial fraud schemes in the USA has presented significant challenges for financial institutions, regulators, and law enforcement agencies. As fraud tactics become increasingly sophisticated, traditional methods of detection and prevention are proving insufficient. This literature review explores the role of big data analytics as a critical tool in combating financial fraud, focusing on its practical applications and effectiveness. By leveraging machine learning, predictive analytics, and artificial intelligence, big data analytics enables real-time monitoring and detection of fraudulent activities, offering a more dynamic and adaptive approach to fraud prevention. The review synthesizes key studies, case reports, and industry practices, highlighting the implementation of big data in analyzing large volumes of transactional and behavioral data to identify suspicious patterns. It further discusses the challenges associated with integrating big data technologies into existing systems, including issues related to data privacy, regulatory compliance, and the high cost of implementation. Additionally, the paper assesses the impact of big data solutions on fraud prevention, comparing their effectiveness to traditional methods and identifying best practices for institutions looking to adopt these technologies. Finally, the review proposes future directions, emphasizing the potential of emerging technologies such as artificial intelligence and blockchain to enhance fraud detection capabilities. It offers recommendations for financial institutions, regulators, and policymakers to collaborate in developing more robust strategies to safeguard the financial system from evolving fraud threats. This paper provides a comprehensive analysis of the current state of big data analytics in combating financial fraud and its practical implications for the financial services industry in the USA.

Determinan Proporsi Dana Tabarru’ pada Lembaga Keuangan Asuransi Jiwa Syariah

Financial management in Islamic insurance companies uses a split fund system. It is also supported by PMK Number 18/PMK.010/2020, which emphasizes that operators or sharia insurance companies must separate wealth by tabarru' fund obligations from the obligations and assets of company funds. The separation of funds has been carried out since participants pay contributions (premiums) at the beginning of the transaction. The purpose of this study is to analyze the factors that influence the proportion of tabarru' funds in Sharia Life Insurance companies. This research is a quantitative research, and the source of the data obtained is secondary data. The population is 21 Sharia Life Insurance companies registered with OJK. The sample of this study uses a purposive sampling technique by producing 16 sharia life insurance companies registered with the OJK, using annual financial statements according to the variables used during the period (2017-2019). Data analysis uses panel data regression analysis with fixed effects model which is processed using eviews 9. The findings from this research show that claims, sharia reinsurance, and operating expenses have a significant effect, while the growth of tabarru' funds and investment returns of tabarru' funds have no significant effect. With the coefficient of determination (R square) 0.775396 which means claims, sharia reinsurance, operating expenses, growth of tabarru' funds and investment returns of tabarru' funds can explain 77% of the proportion of tabarru' funds and the rest is influenced by other variables outside the study.. Keywords: Proportion of Tabarru' Funds, Sharia Life Insurance, Separation of Funds

Building the Foundation: Towards a Theoretical Framework for Forensic Accounting

This study proposed a forensic accounting theory after examining how the impact of certain variables and their interplay on forensic accounting practices can contribute to developing integrated and robust fraud prevention strategies, enhance organizational accountability, and strengthen the overall integrity of financial and internal control systems. In literature, most studies on forensic accounting and fraud prevention have primarily focused on broader aspects such as governance, ethics, and accountability and are largely predicated on theories such as fraud diamond theory and agency theory that seek to understand the causes of fraud, highlighting the importance of forensic accounting in fraud prevention and detection, without suggesting practical forensic accounting frameworks. Also, the forensic accounting theory developed by Peterson Ozil in 2020 examines how the investigator’s attitude or mindset at the time of decision-making influences the outcomes of a forensic investigation. While these studies provide valuable insights into the overall context of fraud prevention, there is a scarcity of research on the specific forensic accounting processes that should be implemented to enhance the effectiveness of fraud prevention measures. This is the significant difference between the current study and previous studies. Therefore, the proposed Vutumu Forensic Accounting Theory serves as the guiding philosophy that underpins the integrated approach of combining control system reliance, litigation support, whistleblower hotlines, sustainable governance systems, ethical philosophy, digital fraud review frequencies, accounting record to reporting quality, and the frequency of system reviews, thereby enabling organizations to establish a proactive framework that addresses various dimensions of fraud prevention and detection. The implementation of the theory emerges as a formidable and comprehensive anti-fraud strategy, seamlessly integrating multiple elements to create a robust defense against fraudulent activities, safeguarding financial integrity, ethical conduct, and accountability within organizations. Furthermore, it is the researcher’s desire that this study serve as a foundation for further research and practical implementation of forensic accounting frameworks in strengthening the ability to detect and prevent fraud.

The Impact of Managerial Accounting Techniques on Short-term Decisions

This study aims to determine the importance of managerial accounting in the process of short-term decision-making. Since managerial accounting is a crucial component of the financial information system and is crucial in making decisions in big companies or SMEs, while managerial accounting is only briefly discussed in the majority of economic units, there are some organizations where certified public accountants view managerial accounting as an optional component of the business. Financial data was collected from one of the SME companies in KRG/Sulaimani governorate, which is Mariwan Gallery, located in Bazian. The results indicate that managerial accounting has a significant effect on the process of short-term decision-making. This study recommends that all businesses, including small shops, hire accountants in order to make critical financial decisions. This helps businesses perform better, and it also provides more job opportunities for society.

Research on the Path of the Transformation and Development ofCommercial Banks under the Background of Internet Finance --Taking Bank A as an Example

The booming rise of Internet finance, which relies on the leap of Internet technology and the deep integration of cutting-edge technologies such as big data, AI, and blockchain, has completely reshaped the landscape of financial services. It has not only transcended geographical boundaries but also streamlined cumbersome intermediary processes, promoting the democratization and popularization of financial services. Then, In the face of this transformation, Bank A, as a representative of the traditional financial system, is facing unprecedented challenges and opportunities. It is important that users’ preferences have shifted towards the pursuit of ultimate convenience, efficiency, and personalized services, forcing Bank A to re-examine its business model and operational strategy. In the tide of Internet finance, Bank A urgently needs to explore a development path that can not only maintain stable operations but also flexibly adapt to market demands, realizing digital and intelligent transformation to remain competitive in the fiercely competitive market.

From sustainable development towards resilience: Does digital finance matter in enhancing ecological resilience?

AbstractDigital finance, as a representative of the digital economy, provides unprecedented opportunities for enhancing the adaptability and resilience of ecosystems. However, there is currently no literature that integrates digital finance and urban ecological resilience into the same research framework. In light of this, we utilize panel data from 2011 to 2019 to investigate the impact of digital finance on ecological resilience. Our results indicate that (1) Digital finance can effectively enhance ecological resilience, a conclusion corroborated by both theoretical frameworks and empirical evidence. Specifically, the coverage breadth and usage depth of digital finance can effectively enhance ecological resilience, while the digitization level has not shown a significant impact. (2) Green technological innovation, improvements in energy efficiency, and the agglomeration of producer services are identified as effective channels through which digital finance promotes ecological resilience. (3) The impact of digital finance on ecological resilience exhibits significant regional heterogeneity, with more pronounced effects observed in cities with advanced traditional financial systems, non‐resource‐based cities, and central cities. These findings will help policymakers better understand the relationship between digital finance and urban ecological resilience, and formulate targeted policies that leverage digital finance development to enhance ecological resilience.