A Review on the Security of the Ethereum-Based DeFi Ecosystem

Decentralized finance(DeFi)is a general term for a series of financial products and services.It is based on blockchain technology and has attracted people’s attention because of its open,transparent,and intermediary free.Among them,the DeFi ecosystem based on Ethereum-based blockchains attracts the most attention.However,the current decentralized financial system built on the Ethereum architecture has been exposed to many smart contract vulnerabilities during the last few years.Herein,we believe it is time to improve the understanding of the prevailing Ethereum-based DeFi ecosystem security issues.To that end,we investigate the Ethereum-based DeFi security issues:1)inherited from the real-world financial system,which can be solved by macro-control;2)induced by the problems of blockchain architecture,which require a better blockchain platform;3)caused by DeFi invented applications,which should be focused on during the project development.Based on that,we further discuss the current solutions and potential directions ofDeFi security.According to our research,we could provide a comprehensive vision to the research community for the improvement of Ethereum-basedDeFi ecosystem security.

Impact of carbon disclosure on debt financing costs

Creditors,such as banks,often use disclosed environmental information to assess a company’s environmental risk and ensure the safety of debt funds.Consequently,carbon disclosures have become an important consideration for creditors when making investments.This study explores the relationship between carbon disclosure and debt financing costs using data on listed companies from 2008 to 2019.The results show that carbon disclosure can reduce the debt financing costs of enterprises,and that this influence is more significant for private companies than for state-owned enterprises.Instrumental variables and Propensity Score Matching(PSM)were used to evaluate the robustness of negative relationships.Furthermore,carbon disclosure has a more significant impact on debt costs with less environmental supervision pressure,weak residents’environmental awareness,and weak product market competition.These findings provide guidance for companies’carbon information disclosure and support the establishment of official carbon disclosure standards.

State-Owned Capital Participation in Private Enterprises:A Perspective of Debt Financing

This study takes debt financing as the entry point and explores the impact of state-owned capital participation in private enterprises from the perspectives of“unarticulated rules”and“articulated rules”.The study finds that state-owned capital participation significantly reduces the debt financing costs of private enterprises and expands the scale of their debt financing.This conclusion remains valid after a series of endogeneity and robustness tests.Further analysis of the mechanism reveals that state-owned capital participation improves the debt financing of private enterprises through multiple channels:Enhancing their social reputation,mitigating the“statistical bias”they face,optimizing their information quality,and reducing the“shareholder-creditor”agency problems.This paper conceptualizes these benefits as the“complementary advantages of heterogeneous shareholders”.This not only constructs a theoretical framework for“reverse mixed-ownership reform”but also better narrates the Chinese story of“mixed-ownership reform”by adopting a more universally applicable theory of equity structure.Additionally,the paper supplements existing research on the macro-and meso-level relationship between the government and the market by exploring the government’s positive role at the micro-level.

On the Establishment of an Effective Financing System for Housing

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Contribution of the Tobacco Tax to the Financing of Health Systems in Democratic Republic of the Congo

Tobacco is an illicit product sold in the world and involves fatal communicable diseases and deaths. In several countries, tobacco revenue contributes to the health of victims. This study aimed to evaluate the contribution of tobacco taxes to the financing of the health system in Democratic Republic of the Congo (DRC) during the period of 3 years (from 2019 to 2021) in order to give some suggestions. A descriptive literature review on the tobacco tax was conducted from three tobacco tax collection services: the services of the General Secretariat of Health in DRC (SGSH), the Program of the National Health Account (PNHA) and the General Direction of Customs and Assizes (GDCA). The analysis revealed that no retrocession and no activity covered by the tax collected on tobacco does not contribute to the financing of the health sector, in order to reduce the burden of households already impoverished by diseases caused by tobacco.

Adaptability evolution of financing systems of mega projects

Mega projects require large funding,which often reaches tens or even hundreds of billions of yuan.In the state-oriented financing system,the huge fund gap has generally become an important factor restricting the development of mega projects worldwide.Since the 1980s,China’s long-span bridge projects have developed rapidly as typical mega projects as their financing systems have also undergone a series of changes and shown a high adaptability to complexity.However,the existing literature based on the perspective of evolution lacks focus on the complexity of mega project financing systems and its causes.Therefore,the complexity of the financing methods employed in the financing systems for China’s long-span bridges is analyzed in this work from the dimensions of time and regions through investigation and interviews.On the basis of the results and complex adaptive systems theory,the causes of the complexity are further explored in terms of the clustering effects of financing subjects and the deep uncertainty of financing environments.Then,the evolution rules of financing systems of mega projects are established from the aspect of financing subjects,financing environments,and financing methods.The research results can enrich decision-makers’understanding of the essential attributes and formation mechanism of the financing systems of mega projects and provide powerful support for decision-making in financing.

Trade credit financing for supply chain coordination under financial challenges:a multi‑leader–follower game approach

This study is designed to solve supply chain inefficiencies caused by some members’financial problems,such as capital shortages and financing restrictions in a stochastic environment.To this end,we have established a supply chain finance framework by designing two novel coordinating contracts based on trade credit financing for different problem settings.These contracts are modeled in the form of multi-leader Stackelberg games that address horizontal and vertical competition in a supply chain consisting of multiple suppliers and a financially constrained manufacturer.However,previous studies in the trade credit literature have addressed only simple vertical competition,that is,seller-buyer competition.To solve the proposed models,two algorithms were developed by combining population-based metaheuristics,the Nash-domination concept,and the Nikaido-Isoda function.The results demonstrate that the proposed supply chain finance framework can eliminate supply chain inefficiencies and make a large profit for suppliers,as well as the financially constrained manufacturer.Furthermore,the results of the contracts’analysis showed that if the manufacturer is required to settle its payments to suppliers before the end of the period,the trade credit contract cannot coordinate the supply chain because of a lack of incentive for suppliers.However,if the manufacturer is allowed to extend its payments to the end of the period,the proposed trade credit financing contract can coordinate the supply chain.Finally,the sensitivity analysis results indicate that the worse the financial status of the manufacturer,the more bargaining power suppliers have in determining the contract parameters for more profit.

Open banking and inclusive finance in the European Union:perspectives from the Dutch stakeholder ecosystem

In the European Union(EU),the revised Payment Services Directive(PSD2)aims to provide more convenient and customized financial products through open banking(OB)platforms.However,little attention has been paid to the role of OB in improving the financial well-being of the growing number of the EU’s underserved groups,which currently constitute approximately a quarter of its population.This study examines how the PSD2 and OB impact inclusive finance in the EU based on the perspectives of the Netherlands’ecosystem,one of the leaders in the EU’s financial technology(FinTech)landscape.A fundamental distinction can be drawn between the OB users and the ecosystem’s players.Regarding the impact of financial services on the users’inclusivity,while the PSD2 strengthens the infrastructure necessary for financial inclusion,many challenges remain,mainly because it was not designed for this purpose.This study identifies several areas of improvement that include adjustments to the know your customer and anti-money laundering processes for underserved customers,innovative ways to communicate the PSD2’s potential,and the regulation of technology providers’activities to build trust.Meanwhile,from the ecosystem’s position,there is a need to strengthen and improve microfinance regulation according to the opportunities provided by the PSD2 to support microfinance institutions(MFIs)in scaling up and reaching underserved clients across borders with innovative services.OB improvements can also be achieved by organizations formed by MFIs and FinTechs in collaboration with banks.Such hybrid institutions will combine the best features of each of them:knowledge of the needs of local underserved clients from MFIs,technological innovations from FinTechs,and large and trusted customer bases,infrastructures,and access to institutional investments and governments from banks.Finally,an EU inclusive OB sector depends on the centrality of trusted regulators as coordination bodies.The PSD2 requires adjustments for underserved populations’specific needs.OB improvements can be achieved by organizations formed by MFIs and Fin-Techs in collaboration with banks.Regulated technical service providers(TSPs)are crucial to building trust and customer adoption in OB.The European Banking Authority(EBA)may function as coordination body to design inclusive rules by engaging with OB stakeholders.As inclusive finance moves into open-finance and data eras,an increasing regulatory complexity and scope will require networks of innovative and trusted regulators.

Universal Health Coverage in Somalia: Charting the Path to Equitable Healthcare Financing and Governance

Somalia is a country facing numerous challenges in achieving universal health coverage (UHC) and ensuring adequate healthcare financing, This article explores the complexities and obstacles that Somalia must overcome in its pursuit of UHC, the paper begins by providing an overview of the current healthcare landscape in Somalia, highlighting the lack of infrastructure, political instability, and limited financial resources that hinder the establishment of a comprehensive and equitable healthcare system. It then examines the role of international aid and non-governmental organizations (NGOs) in filling the healthcare gap, while emphasizing the need for a more sustainable, domestically financed solution. Drawing on a range of data sources and case studies, the article proposes a multi-faceted approach to strengthen healthcare governance, improve resource allocation, and foster local capacity building, the study delves into the unique obstacles that Somalia faces, including a lack of infrastructure, political instability, and limited financial resources, which hinder the establishment of a comprehensive and equitable healthcare system. The paper also examines the role of international aid and non-governmental organizations (NGOs) in filling the healthcare gap, while highlighting the need for a more sustainable, domestically financed solution. The findings underscore the importance of political commitment, international cooperation, and innovative financing mechanisms in advancing towards UHC in Somalia, providing valuable insights for other low resource, conflict affected settings.

Journal Introduction:China Finance Review International

Background The China Finance Review International is a flagship academic journal broadly covering the Chinese and international financial markets.The journal is founded by Antai College of Economics and Management at Shanghai Jiao Tong University,one of the top universities in Asia.The China Finance Review International aims to publish quality empirical and theoretical works on important financial and economic issues in the profession.We encourage ground-breaking research related to new and niche areas in finance,such as Fintech and cryptos,ESG,climate finance,and socially responsible investments.We welcome critiques of existing literature and comparative analysis between emerging markets and developed economies.

Deep Learning for Financial Time Series Prediction:A State-of-the-Art Review of Standalone and HybridModels

Financial time series prediction,whether for classification or regression,has been a heated research topic over the last decade.While traditional machine learning algorithms have experienced mediocre results,deep learning has largely contributed to the elevation of the prediction performance.Currently,the most up-to-date review of advanced machine learning techniques for financial time series prediction is still lacking,making it challenging for finance domain experts and relevant practitioners to determine which model potentially performs better,what techniques and components are involved,and how themodel can be designed and implemented.This review article provides an overview of techniques,components and frameworks for financial time series prediction,with an emphasis on state-of-the-art deep learning models in the literature from2015 to 2023,including standalonemodels like convolutional neural networks(CNN)that are capable of extracting spatial dependencies within data,and long short-term memory(LSTM)that is designed for handling temporal dependencies;and hybrid models integrating CNN,LSTM,attention mechanism(AM)and other techniques.For illustration and comparison purposes,models proposed in recent studies are mapped to relevant elements of a generalized framework comprised of input,output,feature extraction,prediction,and related processes.Among the state-of-the-artmodels,hybrid models like CNNLSTMand CNN-LSTM-AM in general have been reported superior in performance to stand-alone models like the CNN-only model.Some remaining challenges have been discussed,including non-friendliness for finance domain experts,delayed prediction,domain knowledge negligence,lack of standards,and inability of real-time and highfrequency predictions.The principal contributions of this paper are to provide a one-stop guide for both academia and industry to review,compare and summarize technologies and recent advances in this area,to facilitate smooth and informed implementation,and to highlight future research directions.

The Impact of Digital Finance on High-Quality Development of the Chengdu-Chongqing Economic Circle

This paper developed a comprehensive evaluation system that was able to quantify the levels of high-quality development across the cities within the Chengdu-Chongqing economic circle,and investigate the impact that digital finance had on the cities’high-quality development and the underlying mechanisms through which it achieved this.This comprehensive evaluation system was constructed using statistical data from these cities for the period 2014 to 2020 while also taking China’s high-quality development philosophy into account.The key findings revealed that:(a)Digital finance was able to significantly promote high-quality development in the Chengdu-Chongqing economic circle;(b)Digital finance had a significant positive effect in promoting innovative,coordinated,green,open,and shared development;(c)Digital finance was able to stimulate the high-quality development in the Chengdu-Chongqing economic circle by boosting entrepreneurial dynamism;(d)Digital finance had a significant impact on the high-quality development of the axis areas,while its impact was less discernible in non-axis areas.The insights from this research offer a deeper understanding of the factors that drive high-quality development,the role digital finance plays,and the mechanisms through which digital finance is able to propel high-quality development at the city cluster scale.

供应链金融平台设计与实现

近年来,供应链金融作为一个金融创新业务在我国迅速发展,已成为银行拓展发展空间,增强竞争力的一个重要领域。基于企业商品交易项下应收应付、预收预付和存货融资而衍生出来的组合融资,是以核心企业为切入点,通过对信息流、物流、资金流的有效控制或对有实力关联方的责任捆绑,针对核心企业上、下游长期合作的供应商、经销商提供的融资服务。

Analysis of Historic Pavement and Bridge Conditions and Alternative Funding Levels for the Michigan Department of Transportation

In 1997 the Michigan Department of Transportation (MDOT) established an ambitious set of condition targets for its pavements and bridges, and the Department received increased revenue from a 4-cent-per-gallon increase in the state motor fuels tax to help meet its targets. However, over time, actual revenue was less than both what was initially estimated as needed to meet the targets and what was projected from the tax increase. Consequently, actual conditions were projected to fall short of the target levels, so the department issued bonds to address the shortfall through 2012. To support deliberations on future funding, in 2013 MDOT performed an analysis of historic conditions to determine what additional fuel tax revenues would have been required beginning in 1997 to: replace bond revenues used to fund pavement and bridge projects from 1997 to 2012;and enable MDOT to meet its condition targets. The analysis was performed using data on actual pavement and bridge funding and conditions;as well as predicted funding and conditions for different hypothetical increases in fuel taxes. The analysis concluded that, in addition to the actual increase of 4 cents per gallon, a fuel tax increase of another 10 cents per gallon would have been required in 1997 to replace bond revenue used for pavement and bridges and allow MDOT to meet its condition targets. The analysis results were used to help inform the discussion of Michigan’s target asset conditions and funding, and demonstrate application of MDOT’s pavement and bridge management systems for performing historic analyses.

The Logic of Digital Finance in the Age of Digital Economy

This paper explores the development logic,trends,and challenges of digital finance in the era of the digital economy.As a crucial component of the digital economy,digital finance has completely transformed the traditional financial services model through factors such as technological innovation,data intelligence,and personalized user experiences,paving the way for new business models and market opportunities.However,the rapid development of digital finance also faces challenges such as competition,security,and regulation.This paper emphasizes the importance of finding a balance between innovation and security in the development of digital finance and discusses the potential of digital finance in promoting financial inclusion and sustainable development.Through comprehensive analysis,this paper aims to provide valuable insights for academic researchers and industry practitioners,promoting the healthy development of digital finance.

The Thinking of Financing under Dual Economies Character In Medium & Small Enterprises

In China,the dual economies show prominence in financial field.It leads to the serious dual credit ration and becomes one of the main cause which makes financing in medium & small sized enterprises becomes harder and harder.On basis of this situation,we theoretically pose that we can alleviate the difficulty through the dual cooperation of financial control and the deepening of finance.

Green Finance Promotes High-Quality Development of Regional Economy

With the rapid development of the social economy,the role of green finance in promoting the high-quality development of regional economies is increasing day by day.The advancement of green finance not only aids in fostering the green transformation and upgrading of regional economies but also helps mitigate the risks of environmental damage stemming from traditional economic activities.In this new era,it is imperative to embrace the concept of green finance development and innovate green finance practices to further drive high-quality regional economic development.This paper will analyze the significance of green finance in regional economic development,assess the current state of green finance development,and propose optimization strategies for green finance to facilitate high-quality economic development.

Research on the Impact of Digital Finance on Energy Efficiency in China

Digital finance and green technology innovation(GTI)serve as powerful engines for promoting energy efficiency(EE)and economic development.This paper explores the mechanism by which digital finance impacts EE based on panel data from 30 provinces in China spanning from 2011 to 2019.The results demonstrate that digital finance can significantly enhance EE,with a particularly pronounced effect in the eastern region.Through mechanistic analysis,it is evident that GTI serves as the transmission pathway through which digital finance influences EE,accounting for 45.3%of the effect.The policy implication of this study suggests that China should expedite the digitization of financial markets to further harness the development of digital finance,particularly in pursuit of its technological innovation and green,lowcarbon environmental protection effects.

Smaller & Smarter: Score-Driven Network Chaining of Smaller Language Models

With the continuous evolution and expanding applications of Large Language Models (LLMs), there has been a noticeable surge in the size of the emerging models. It is not solely the growth in model size, primarily measured by the number of parameters, but also the subsequent escalation in computational demands, hardware and software prerequisites for training, all culminating in a substantial financial investment as well. In this paper, we present novel techniques like supervision, parallelization, and scoring functions to get better results out of chains of smaller language models, rather than relying solely on scaling up model size. Firstly, we propose an approach to quantify the performance of a Smaller Language Models (SLM) by introducing a corresponding supervisor model that incrementally corrects the encountered errors. Secondly, we propose an approach to utilize two smaller language models (in a network) performing the same task and retrieving the best relevant output from the two, ensuring peak performance for a specific task. Experimental evaluations establish the quantitative accuracy improvements on financial reasoning and arithmetic calculation tasks from utilizing techniques like supervisor models (in a network of model scenario), threshold scoring and parallel processing over a baseline study.