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The impact of small scale fish farming on poverty reduction in South-East Zone of Nigeria
Get PDFOver the years, successive administrations in Nigeria have embarked on numerous poverty reduction programmes aimed at reducing the poverty rate in Nigeria. These efforts have not yielded much result as poverty rate has continued to soar and pervade every geo-political zone in Nigeria. The poverty situation, coupled with the low uptake of fish farming technology in the south-east zone has prompted the need to examine the impact of small-scale fish farming on poverty reduction in the south-east zone of Nigeria. The dependent variable of the study is poverty reduction, which has household expenditure as its proxy. The independent variable is small-scale fish farming, proxy by income, employment, food security and consumption multiplier. Data collection was made through in-depth Interview (IDI) guide, while analysis was done using thematic analysis technique. A total of 40 participants, comprising of 30 fish-farm owners and 10 employees were selected purposively from the states of Anambra, Ebonyi and Imo for the interview. The study findings suggest that small-scale fish farmingin the study area impacts positively on poverty reduction, as increase in each of the independent variables tends to increase the dependent variable. The study recommended the establishment of fish farm settlements; granting of credit facilities to fish farmers; establishment of skill acquisition and training centers for farm employees; and improvement electricity supply and road network for lower energy cost and easy transportation of fish products.
Keywords: Fish Farming, Small-Scale, Poverty Reduction
Policy on green credit development in Vietnam
Get PDFGlobally, the trend of green credit growth has been developing for a long time through projects focusing on energy saving, renewable energy, and clean technology, aimed at achieving economic growth while protecting the environment. In Vietnam, recognizing the importance of green credit, in March 2015, the State Bank of Vietnam (SBV) issued Directive No. 03/CT-NHNN to promote green credit growth and manage environmental and social risks in credit activities. Additionally, SBV issued the Action Plan of the Banking Industry to implement the National Strategy on Green Growth until 2020, which includes solutions such as: enhancing the capacity of the banking system in implementing green banking and credit; promoting the deployment of green banking and credit products, supporting enterprises in achieving green growth; and increasing awareness and dissemination of green banking and credit activities.
Keywords: Green Credit, Policy, Vietna
CORPORATE LAW IN THE ERA OF GLOBALIZATION: A REVIEW OF ETHICAL IMPLICATIONS AND GLOBAL IMPACTS
Get PDFThe landscape of corporate law has undergone significant transformations in the era of globalization, where businesses operate across borders, transcending traditional jurisdictions. This paper provides a comprehensive review of the ethical implications and global impacts associated with the evolving dynamics of corporate law in a globalized world. Examining the ethical dimensions, the paper delves into the challenges posed by the increasing influence of corporations on a global scale. It scrutinizes the ethical responsibilities of businesses in navigating complex international environments, emphasizing the need for a framework that balances profit motives with societal well-being. The paper explores ethical considerations related to corporate social responsibility, environmental sustainability, and the treatment of diverse stakeholders. On a global scale, the impacts of corporate law are analyzed in the context of economic, social, and political dynamics. The paper investigates how globalization has facilitated the movement of capital, technology, and labor, influencing corporate structures and legal frameworks. It explores the role of international institutions and treaties in shaping corporate behavior and the challenges associated with harmonizing diverse legal traditions in the pursuit of ethical corporate practices. Furthermore, the paper critically evaluates the effectiveness of regulatory mechanisms in addressing ethical concerns in the globalized corporate landscape. It highlights case studies and examples that illustrate both positive and negative impacts, shedding light on instances where corporate law has successfully aligned with ethical principles and cases where regulatory gaps have led to detrimental consequences. This paper offers a nuanced exploration of corporate law in the era of globalization, unraveling the intricate interplay between ethics and global impacts. It contributes valuable insights for policymakers, legal practitioners, and scholars grappling with the complexities of fostering ethical corporate behavior within the context of an interconnected and dynamic global economy.
Keywords: Corporate Law, global economy, Ethics, Globalization, Review
REVIEWING THE ROLE OF BIG DATA ANALYTICS IN FINANCIAL FRAUD DETECTION
Get PDFFinancial institutions grapple with the escalating nature of fraudulent activities, necessitating innovative and timely detection methods. The review underscores the transformative potential of Big Data Analytics, emphasizing its pivotal role in the ongoing fight against fraud. Delving into the specifics, the paper explores diverse data sources, such as transaction and user behavior data, alongside external data from sources like social media, employing machine learning algorithms and predictive modeling for anomaly detection and risk assessment. Real-time processing emerges as a critical component for swift and effective fraud identification. Critically addressing implementation challenges, including data quality assurance and privacy concerns, the paper showcases case studies of successful Big Data Analytics implementations, highlighting their positive impacts on fraud prevention and financial security. Looking ahead, the review anticipates the role of emerging technologies like blockchain and artificial intelligence in enhancing fraud prevention strategies, emphasizing integration with cybersecurity for robust defense against sophisticated attacks. The paper concludes with recommendations for financial institutions, advocating collaborative efforts and information sharing within the industry. In summary, the review underscores the transformative contributions of Big Data Analytics to financial fraud detection, shaping the future of fraud prevention strategies and fortifying the resilience of the global financial ecosystem..
Keywords: Big, Data, Analytics, Finance, Fraud, Detection
TRANSFORMING FINTECH FRAUD DETECTION WITH ADVANCED ARTIFICIAL INTELLIGENCE ALGORITHMS
No full textThe rapid evolution of financial technology (fintech) platforms has exponentially increased the volume and sophistication of financial transactions, concurrently elevating the risk and complexity of fraudulent activities. This necessitates a paradigm shift in fraud detection methodologies towards more agile, accurate, and predictive solutions. This paper presents a comprehensive study on the transformative potential of advanced Artificial Intelligence (AI) algorithms in enhancing fintech fraud detection mechanisms. By leveraging cutting-edge AI techniques including deep learning, machine learning, and natural language processing, this research aims to develop a robust fraud detection framework capable of identifying, analyzing, and preventing fraudulent transactions in real-time.
Our methodology encompasses the deployment of several AI algorithms on extensive datasets comprising genuine and fraudulent financial transactions. Through a comparative analysis, we identify the most effective algorithms in terms of accuracy, efficiency, and scalability. Key findings reveal that deep learning models, particularly those employing neural networks, outperform traditional machine learning models in detecting complex and nuanced fraudulent activities. Furthermore, the integration of natural language processing enables the extraction and analysis of unstructured data, significantly enhancing the detection capabilities.
Conclusively, this paper underscores the critical role of advanced AI algorithms in revolutionizing fintech fraud detection. It highlights the superior performance of AI-based models over conventional methods, offering fintech platforms a more dynamic and predictive approach to fraud prevention. This research not only contributes to the academic discourse on financial security but also provides practical insights for fintech companies striving to safeguard their operations against fraud.
Keywords: Artificial Intelligence, Fintech, Fraud Detection, Ethical Ai, Regulatory Compliance, Data Privacy, Algorithmic Bias, Predictive Analytics, Blockchain Technology, Quantum Computing, Interdisciplinary Collaboration, Innovation, Transparency, Accountability, Continuous Learning, Ethical Principles, Real-Time Processing, Financial Sector
Circular economy and cybersecurity: Safeguarding information and resources in sustainable business models
Get PDFThis study explores the critical intersection between circular economy (CE) practices and cybersecurity measures, aiming to uncover the strategic implications for stakeholders and propose directions for future research. Employing a systematic literature review methodology, the study analyzes peer-reviewed articles, reports, and case studies published between 2014 and 2024. The review focuses on identifying the mutual benefits and challenges of integrating cybersecurity within CE models, the role of standards, policies, and regulatory frameworks in facilitating this integration, and the evolving landscape of opportunities and strategic recommendations for businesses, policymakers, and technologists. Key insights reveal that cybersecurity is not only essential for protecting the digital infrastructure supporting CE practices but also serves as a strategic asset that enhances the resilience and sustainability of business models. The study identifies several challenges at the intersection, including the complexity of securing intricate supply chains and the need for robust data protection measures. Opportunities lie in leveraging digital technologies to foster innovative, sustainable business models and in developing comprehensive regulatory frameworks that support secure CE practices. Strategic recommendations emphasize the importance of a holistic approach to integrating cybersecurity, the development of supportive policies, and the advancement of secure technologies. Future research directions include the need for empirical studies on the effectiveness of cybersecurity measures in CE and interdisciplinary research bridging environmental science, cybersecurity, and business management.
Keywords: Circular Economy, Cybersecurity, Sustainable Business Models, Systematic Literature Revie
Advancing financial inclusion and technological innovation through cutting-edge software engineering
Get PDFAdvancing financial inclusion and fostering technological innovation through cutting-edge software engineering are paramount in addressing the global disparities in access to financial services. This paper explores the critical role of software engineering in revolutionizing the financial sector, particularly in enhancing financial inclusion for underserved populations. Financial inclusion, which ensures that individuals and businesses have access to useful and affordable financial products and services, is a cornerstone for economic development. Despite its importance, a significant portion of the global population remains unbanked or underbanked, primarily due to limited access to traditional banking infrastructure. Technological innovation, driven by advancements in software engineering, presents a transformative solution to this challenge. Cutting-edge software engineering practices are at the forefront of developing robust, scalable, and secure financial solutions. Mobile banking applications, for instance, leverage sophisticated software architectures to provide seamless and secure financial services to users in remote and underserved areas. These applications facilitate various transactions, including money transfers, bill payments, and savings, thereby integrating unbanked individuals into the formal financial system. Additionally, blockchain technology, underpinned by advanced software engineering, offers a decentralized and secure platform for financial transactions. Blockchain's inherent transparency and security features make it an ideal tool for enhancing trust and reducing fraud in financial services. By enabling secure and low-cost cross-border payments, blockchain technology significantly contributes to financial inclusion by making financial services accessible to those previously excluded. Artificial Intelligence (AI) and machine learning, powered by sophisticated algorithms, further enhance financial inclusion by providing personalized financial services. AI-driven chatbots and virtual assistants offer 24/7 customer support, ensuring that users have constant access to financial guidance. Moreover, AI algorithms analyze user data to offer tailored financial products, such as customized loan offers and investment advice, thereby meeting the unique needs of diverse users. Despite the promising potential, the integration of these technologies faces challenges, including ensuring data privacy and navigating regulatory landscapes. However, through strategic collaboration between financial institutions, technology providers, and regulatory bodies, these challenges can be mitigated. In conclusion, advancing financial inclusion through cutting-edge software engineering not only bridges the gap between the unbanked and financial services but also drives technological innovation, fostering a more inclusive and economically empowered global society.
Keywords: Financial Inclusion, Technological Innovation, Advancing, Software Engineering, Cutting-Edge
Comprehensive financial strategies for achieving sustainable growth in small businesses
Get PDFSustainable growth in small businesses is a critical component for economic stability and development. This review outlines comprehensive financial strategies designed to foster long-term growth and sustainability for small enterprises. The primary focus is on creating a robust financial foundation, optimizing resource allocation, and leveraging innovative financial tools. Firstly, effective financial planning and budgeting are foundational elements. Small businesses must develop detailed financial plans that encompass both short-term operational needs and long-term growth objectives. This includes cash flow management to ensure liquidity, investment in essential assets, and maintaining an emergency fund to cushion against unforeseen economic fluctuations. Secondly, access to diverse funding sources is essential. Traditional bank loans, venture capital, and government grants provide necessary capital for expansion. Additionally, crowdfunding and peer-to-peer lending platforms have emerged as viable alternatives, particularly for innovative startups and community-driven projects. Businesses should strategically select funding sources that align with their growth stages and financial health. Moreover, cost management and efficiency play a pivotal role in sustainability. Implementing cost-control measures such as lean management techniques can optimize operational efficiency and reduce waste. Regular financial audits and performance reviews help identify areas of improvement and ensure that resources are being utilized effectively. Another critical strategy is investing in technology and innovation. Adopting financial technologies (fintech) like automated accounting software, digital payment systems, and financial analytics tools can streamline operations, enhance decision-making, and improve financial transparency. Embracing technological advancements ensures small businesses remain competitive and responsive to market changes. Risk management is equally important in achieving sustainable growth. This involves identifying potential financial risks, such as market volatility, and developing mitigation strategies. Insurance products, diversification of revenue streams, and creating a risk management plan can safeguard against financial disruptions. Lastly, fostering strong relationships with financial advisors and mentors can provide valuable insights and guidance. These professionals can help navigate complex financial landscapes, offer strategic advice, and support small businesses in making informed financial decisions. In conclusion, comprehensive financial strategies encompassing effective planning, diverse funding, cost management, technological integration, risk management, and professional guidance are vital for achieving sustainable growth in small businesses. By adopting these strategies, small enterprises can build a resilient financial foundation, drive innovation, and ensure long-term success in an increasingly competitive market.
Keywords: Achieving, Sustainable Growth, Small Businesses, Comprehensive, Financial Strategies
Impact of asset quality on financial health of commercial banks in Cambodia
Get PDFThis study aims to examine the impact of asset quality on the financial health of commercial banks in Cambodia. Using an explanatory approach with panel data analysis, the research analyzes annual data from 2017 to 2023 for 57 commercial banks, sourced from the National Bank of Cambodia. The analysis explores the effects of Non-Performing Loans (NPLs), Bank Size, Capital Adequacy Ratio (CAR), Interest Rates, Inflation Rate, and GDP Growth on Return on Assets (ROA) and Return on Equity (ROE). Diagnostic tests for heteroskedasticity, serial correlation, multicollinearity, and model specification are employed to ensure the robustness of the results. The findings indicate that NPLs significantly negatively impact both ROA and ROE, while Bank Size positively influences ROE but does not significantly affect ROA. CAR has a negative impact on both profitability metrics, suggesting that higher capital ratios reduce profitability due to increased capital costs. Interest Rates and Inflation Rate also show significant negative effects on ROA and ROE, whereas GDP Growth positively impacts both measures. To enhance financial health and performance, Cambodian commercial banks should focus on improving credit risk management, optimizing CAR, developing strategies to manage interest rate and inflation risks, and leveraging economic growth. These measures will strengthen financial health, improve performance metrics, and contribute to a more stable banking sector in Cambodia.
Keywords: Asset Quality, Financial Health, Commercial Banks, Non-Performing Loans (NPLs), Bank Size, Capital Adequacy Ratio (CAR), Interest Rates, Inflation Rate, GDP Growth, Return on Assets (ROA), Return on Equity (ROE)
Forecasting stock prices and market trends using historical data to aid investment decisions
Get PDFForecasting stock prices and market trends is critical to financial decision-making, leveraging historical data to predict future market behavior. This paper explores the importance of historical data, including price history, trading volume, and economic indicators, in developing accurate forecasting models. It addresses the challenges of market volatility, external influences such as economic events and political changes, and data limitations including quality and availability. Advanced tools and technologies, such as algorithmic trading, artificial intelligence, and big data analytics, are highlighted for enhancing forecasting accuracy. The practical implications for individual and institutional investors are discussed, emphasizing improved investment strategies, risk management, and portfolio diversification. The paper also suggests future research directions, focusing on integrating alternative data sources, developing hybrid models, advancing AI techniques, and incorporating behavioral finance insights. These advancements aim to refine forecasting models, ultimately leading to more informed investment decisions and greater market efficiency.
Keywords: Stock Forecasting, Historical Data, Market Volatility, Investment Strategie