Economics Commons^™

Effectiveness Of Banking Marketing Strategies And Their Impact On Attracting Customers: A Comparative Study Between The Trade Bank Of Iraq (Tbi) And The Bank Of Baghdad, Azzam Saleh Abd

Muthanna Journal of Administrative and Economics Sciences

The research problem centers on the growing gap between the marketing strategies adopted by Iraqi banks and the increasing expectations of customers in the digital age, which has led to a noticeable disparity in the ability to attract and retain customers between the public and private sectors. Despite its capital strength and sovereign status, the Trade Bank of Iraq (TBI) faces challenges in aligning its marketing flexibility with the needs of individuals versus large corporations, while the Bank of Baghdad struggles to promote trust and security to compete with government guarantees. To analyze this problem, three main hypotheses were formulated: …

Non-Parametric Bayesian Modeling For Predicting Financial Market Volatility, Maab Adil Sabbar, Ahmed Imad Jawad Alradhi

Muthanna Journal of Administrative and Economics Sciences

This study examines methodological developments in modeling financial market volatility, with a particular focus on Bayesian nonparametric approaches as flexible alternatives to traditional parametric models such as GARCH and stochastic volatility frameworks. While characteristics of financial time series—including fat tails, volatility clustering, asymmetry, and structural breaks—limit the effectiveness of rigid parametric specifications, nonparametric Bayesian tools such as Dirichlet Process Mixtures offer adaptive probabilistic structures that better capture the true behavior of returns.
Using daily data from the ISX Main 60 Index, the empirical analysis shows that although the GARCH(1,1) model achieves a good statistical fit, stable volatility estimates, and accurate …

The Influence Of Managerial Attitudes And Dynamic Capabilities On E-Marketing Adoption Among Small And Medium Tourism Enterprises, Hilal Maabad Ame, Omari Khalifa Mbura, Amani Gration Tegambwage

Arab Economic and Business Journal

This study examines how managerial attitudes and dynamic capabilities shape e-marketing adoption among Small and Medium Tourism Enterprises (SMTEs) in Zanzibar, using PLS-SEM on survey data from 216 SMTEs in the Urban-West and South Regions. Drawing on the Decomposed Theory of Planned Behaviour and Dynamic Capabilities Theory, the study finds that perceived ease of use and perceived security significantly increase adoption, while perceived usefulness and compatibility significantly decrease it suggesting that recognising a technology's value is insufficient without the operational capacity to act on it. Supporting this, dynamic capabilities significantly strengthen the usefulness–adoption and compatibility–adoption relationships, but show no moderating …

Connecting Families Through Cash Transfers And An Enabling Environment In Colombia, Mexico, And The Philippines: A Qualitative Study, Johanna K P Greeson, John Gyourko, Sarah Wasch, Kristin Mallory, Lory Fehlig, Cesar Jácome, Nestor David Lara Yanes, Fátima Areli Ruiz Gutiérrez, Dennis Guamos, Adele R. Lehman

Faculty Scholarship

Nearly 700 million people worldwide live in extreme poverty, and almost half of the world’s population lives below the poverty line. Cash transfer programs are increasingly used to address poverty’s effects on family well-being, yet less is known about how families experience programs that combine cash transfers with peer-driven mutual aid. Children International’s (CI) Community Independence Initiative (CII) provides conditional cash transfers and promotes family-led goal setting, mutual support, and shared learning. This qualitative study explored how families in Colombia, Mexico, and the Philippines experienced CII and made meaning of its material and relational components. We conducted focus groups with …

Do Nonprofit Ratings Help Donors Make Better Decisions?, Ashraf Haque

Center for Policy Research

Nonprofit organizations depend on donations to fulfill their missions, but donors choosing among 1.8 million U.S. public charities often lack the time or capacity to evaluate which organizations are actually performing well. This brief summarizes findings from a study that used a five-year panel dataset of over one million nonprofit-year records from GuideStar (2014–2018) to examine how transparency seal ratings affect donation behavior. The author finds that having any GuideStar seal increases donations by about 7% compared to having no seal, and that platinum-rated nonprofits receive 34% more in donations than unrated organizations, regardless of actual organizational quality. Donors do …

Credence Goods In Markets With Collective Reputation: Nature Of Equilibria And The Value Of Certification, Erin Krupka, Thomas P. Lyon, Arnab Mitra

Economics Faculty Publications and Presentations

Fraud can cause markets for credence goods to collapse, but collective reputation has been suggested as a potential solution, especially when buyer valuations for quality are high. We develop a discrete model of a market for label credence goods and provide conditions for no-fraud equilibria based on collective reputation. We identify conditions under which all equilibria may be asymmetric or involve mixed strategies and hence sellers may face coordination problems. Our analysis suggests such coordination problems are the greatest when the size of the high-quality market is approximately half of the overall market (that incorporates both high- and low-quality goods), …

The Mundlak Estimator In A Panel Data Model With Serially Correlated Error Component Disturbances, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper shows that the classic Mundlak (1978) result where the random effects estimator reduces to the fixed effects estimator when the regressors are all correlated with the individual effects, may not hold if the remainder disturbances have a general serial correlation variance-covariance matrix. This includes the popular AR(1), MA(1) and ARMA(p, q) processes for serial correlation. This is illustrated with an empirical example for the AR(1) case.

Analyzing The Relationship Between Ai-Enhanced Accounting Disclosure And Financial Reporting Quality: Digital Transparency As A Mediating Variable, Mawj Abbas Jasim Al-Hchaimi, Hasan Talib Hashim, Mohammed Adhab Jassim

Muthanna Journal of Administrative and Economics Sciences

The current research aims to study the relationship between AI-enhanced accounting disclosure and the quality of financial reports in the Iraqi banking sector, while also examining the role of digital transparency as a mediating variable in explaining this relationship. The research was conducted on a sample of 180 financial managers, accountants, internal auditors, and IT specialists from three Iraqi banks: Bank of Baghdad, Al-Rasheed Bank, and the Commercial Bank of Iraq. The research employed a descriptive, analytical, and field-based methodology, using a structured questionnaire, personal interviews, and objective system-performance indicators as the main tools of data collection. Data were analyzed …

The Ecological Impacts Of Un-Protecting Forests: The Case Of Gold Mining In Ghana, Tate Alexander Barend

Master's Theses

This paper estimates the causal effect of Ghana’s Legislative Instrument 2462 (L.I. 2462) on deforestation in protected areas. The policy redefined the regulatory regime governing small-scale gold mining in protected areas, moving from prohibition to discretionary permitting. I exploit the implementation of L.I. 2462 as a policy shock and apply a difference-in-differences event-study framework to a propensity score–matched sample of pixels derived from high-resolution satellite images. Contrary to widespread concerns that the policy would accelerate deforestation, the results provide no evidence of large-scale vegetation loss in exposed protected areas following the policy change. Instead, protected area pixels located within 5 …

It Takes Two To Tango. Capital Constraints And Bank Lending In Poland, Marcin Czaplicki

Journal of Banking and Financial Economics

The implementation of post-crisis (Basel III) capital requirements in 2015, followed by the introduction of the banking tax in 2016, marked a turning point for the loan-to-GDP ratio in Poland. Since Q4 2015, this ratio has declined by almost one-third, while the ratio of banks’ assets to GDP has remained relatively stable. However, the composition of bank assets has shifted – from corporate lending toward an increased share of sovereign bonds and retail loans, particularly mortgages.

This article explores the key drivers behind this structural shift. Using a combination of qualitative insights and quantitative analysis – including dynamic panel data …

Entire Volume Journal Of Banking And Financial Economics 2026, 1(25)

Journal of Banking and Financial Economics

Entire Volume Journal of Banking and Financial Economics 2026, 1(25)

New Trends In Banking And Financial Markets. Opening Remarks, Sylwia Frydrych

Journal of Banking and Financial Economics

New Trends in Banking and Financial Markets. Opening Remarks

Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The intelligent economy is a new economic model driven by artificial intelligence, representing a revolutionary shift in the technological-economic paradigm that promotes qualitative advancement in production factors, production functions, and production models. Through data-driven approaches, human-machine collaboration, cross-sector integration, and co-creation and sharing, the intelligent economy empowers high-quality development. In response to the transformations brought by the intelligent economy in terms of technology, factors, industries, ecosystems, and governance, systematic measures should be taken across scientific innovation, factor allocation, industrial transformation, ecosystem building, and governance systems to foster the emergence of new forms of the intelligent economy and inject strong momentum …

Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry, Chaokai Xue, Xiaohui Qu, Laijun Wang, Yifan Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the …

Global Trends In Coordinated Digital-Intelligent And Green Transformation Of Manufacturing: Experience And Implications, Haiping Zhao, Yaxin Zhao, Lingshuo Song, Ling Jian, Jun Wang, Shuwei Zang, Xiujie Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of manufacturing is emerging as a major direction for advancing the transformation and upgrading of the global manufacturing sector and reshaping industrial competitive advantages. This study systematically analyzes the evolution of this transformation worldwide, the transformation pathways adopted by different economies, and the strategic priorities of key industries. It then examines Germany, the United States, and Japan as representative cases to illustrate their respective approaches and practices. Drawing on China’s existing development foundations and current shortcomings, the study puts forward corresponding policy recommendations. The findings reveal that the global coordinated transformation has progressively moved …

Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province, Dingding Xiao, Peng Hui, Shaoni Liu, Xinxin Du, Laijun Wang, Guilong Zhu, Wenbo Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China’s traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient …

Progress, Experience, And Recommendations From Pilot Programs For Coordinated Digital-Intelligent And Green Transformation In Ten Regions Of China, Yingtong Chen, Yupeng Shi, Bin Li, Xue Niu, Qiang Ji, Lin Xiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Coordinated digital-intelligent and green transformation is an important pathway for advancing high-quality manufacturing development. Focusing on the first batch of comprehensive pilot programs for coordinated digital and green transformation launched in 2023, this study combines literature review, text analysis, and comparative case analysis to examine the practices and phased outcomes of ten pilot regions. It identifies three pathways—digital-enabled green transformation, green-driven digital transformation, and integrated digital-green development—and summarizes key experiences in institutional design, infrastructure restructuring, platform innovation, and tool empowerment. The findings show that the pilot regions have adopted differentiated approaches based on their industrial foundations, resource endowments, and development …

Development Assessment And Strategic Recommendations For Integrated Digital-Intelligent And Green Technology In China’S Manufacturing Industry, Hongyan Zhang, Yuting Peng, Yajing Sun, Peng Zhou, Yanfei Zhao, Xiangjun Yang, Chao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The manufacturing industry is currently under the dual pressure of coordinated digital–intelligent and green transformation, and promoting the deep integration of these two dimensions has become a strategic choice for enhancing industrial competitiveness. Clarifying the current status and future directions of convergence technologies that integrate digital intelligence and green development can help optimize the coordinated transformation pathways for manufacturing, thereby providing strong support for high-quality economic development. Therefore, this study focuses on the technological foundation underpinning the transformation, delineating the development landscape of integrated digital-intelligent and green technologies in manufacturing industry from a patent perspective. The study analyzes the current …

Fintech Enables Regional Economic Growth And Coordinated Development, Xirong Huang, Jichang Dong, Xiuting Li, Zhi Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on multi-source big data, this study analyzes the current situation and internal logic of fintech enabling regional economic growth and coordinated development in the new development stage, from the aspects of stimulating R&D, promoting talent dividend process, and amplifying regional spillover effect, in view of the current challenges facing China’s regional coordinated development. Then, it analyzes the challenges and problems in fintech-enabled regional coordinated development, including the significant regional fintech gap, obstacles in the effectiveness of fintech in underdeveloped regions, the lack of fintech talents, and the fintech regulation and information protection system need to be improved. Finally, corresponding …

Can The Safety Net Support Families Through Childbirth?, Hyojeong Kim, Colleen Heflin, Taryn Morrissey

Center for Policy Research

Childbirth is a life event that often disrupts maternal employment and household earnings just as family expenses increase. In the United States, families do not have access to a national paid parental leave program and must rely on a patchwork of safety net programs that were not designed specifically to support households during pregnancy and the immediate postpartum period. This brief uses linked administrative data from the Virginia Longitudinal Data System (2016–2021) to describe changes in household earnings and social welfare benefits before and after childbirth among low-income mothers receiving the Supplemental Nutrition Assistance Program (SNAP) or Temporary Assistance for …

Assessing The Financial Impact Of Spoofing Attacks In Michigan’S Finance Industry, Shatarsha Smith

Walden Dissertations and Doctoral Studies

Spoofing attacks have become an increasingly significant cybersecurity threat, exposing organizations and customers to financial losses by impersonating trusted identities in digital environments. Cybersecurity leaders need a better understanding of how information security maturity and the selection of cybersecurity strategy relate to spoofing loss outcomes. Grounded in game theory, the purpose of this quantitative cross-sectional correlational study was to examine the relationships among information security maturity, cybersecurity strategy selection, and spoofing loss outcomes in the financial industry. Data were collected from approximately 90 IT professionals employed in a Michigan-based government office in the public finance sector with at least 5 …

Trust, Delegation, And Alignment In Human-Ai Decision Making, Erik O. Kimbrough, Brennan Mcdavid, Diba Vazirian

ESI Working Papers

This paper studies delegation to artificial intelligence in a setting where human principals retain the consequences of delegated choices. Participants wrote prompts instructing ChatGPT-4o mini how to choose on their behalf in three canonical economic domains: risky choice, intertemporal choice, and social allocation. We then elicited the compensation participants required to let the AI’s choices count for payment and compared participants’ own choices to choices generated from their prompts. The design produces two central empirical objects: a revealed measure of reluctance to delegate, captured by willingness to accept compensation for AI delegation, and a behavioral measure of alignment, captured by …

Projecting The Broad Money Supply From Base Money Dynamics, Baba N. Yaaba

Bullion

The study demonstrates that in periods when Other Depository Corporations' balance sheet data are unavailable, broad money (M3) can be reasonably projected by combining the monetary base from the CBN balance sheet with the immediately preceding money multiplier. This time-varying approach using the lagged multiplier provides an appropriate and empirically justified basis for projecting broad money. However, the application of this methodology should be confined to internal policy analysis and decision-making purposes and not extended to public dissemination.

Accounting Response To Inflation And Its Implication On Economic Development In Nigeria, Jimoh Ojo Ihiovi

Bullion

This study examines the relationship among inflation, accounting responses, investment, regulatory compliance and economic development in Nigeria. It uses secondary data from official macroeconomic sources and selected corporate reports and applies descriptive statistics, correlation analysis and Ordinary Least Squares regression. The reported results show a negative association between inflation and GDP per capita, while accounting response, investment and regulatory compliance have positive associations with economic development. The study recommends stronger inflation-sensitive disclosures, improved enforcement and professional capacity, while recognising that IAS 29 applies only where its hyperinflation criteria are met.

Non-Oil Exports And International Reserves In Nigeria: A Descriptive Assessment (1981-2023), Oluwabunmi Dada

Bullion

This study examines non-oil exports and international reserve accumulation in Nigeria using annual data from 1981 to 2023. Descriptive statistics, correlation analysis and trend analysis are employed. Services and agricultural exports show modest positive associations with reserves, while manufacturing exports record a strong negative association and mining exports show a negligible relationship. Real GDP, the exchange rate and external debt are positively correlated with reserves. The findings support policies that strengthen export competitiveness, value addition and macroeconomic stability. The reported relationships are descriptive and should not be interpreted as causal effects.

Corporate Governance In The Last Decade (2012-2021): A Systematic Review Of Literature, Aliyu Abdulaziz

Bullion

This article reviews 100 peer-reviewed corporate governance studies published from 2012 to 2021 across 34 country settings. It applies a systematic quantitative assessment technique to examine publication year, publisher, geography, article type, data-collection method and research theme. The corpus consists mainly of empirical studies and is concentrated in Asian settings. Observation and survey methods dominate, while mixed methods are uncommon. Board composition, board independence and ownership structure are the leading themes. The review identifies geographical, methodological and thematic gaps and recommends broader coverage and greater methodological diversity in future research.

Cash Reserve Ratio As A Monetary Policy Tool In Nigeria: Implications For Banking System Liquidity And Stability, Baba N. Yaaba Phd, Usenobong Akpan Phd

Bullion

In pursuit of price stability, the Central Bank of Nigeria (CBN) deploys a range of monetary policy instruments to regulate liquidity conditions and influence macroeconomic outcomes. Among these, the Cash Reserve Ratio (CRR) has played an increasingly prominent role in recent tightening cycles. While these measures aimed to curb excess liquidity and inflationary pressures, concerns have emerged regarding their implications for bank intermediation and financial stability. This study evaluates the impact of CRR on banking system liquidity and stability in Nigeria using an Autoregressive Distributed Lag (ARDL) model and monthly data from June 2010 to March 2025. The results confirm …

Digital Financial Services And The Formalisation Of Informal Enterprises In Nigeria: A Policy Review, Mayowa Olawale Ogunsola, Helen Olubunmi Aderemi

Bullion

Nigeria's informal sector accounts for approximately 93% of employment (ILO, 2025; NBS, 2023) and, following the 2025 GDP rebasing, contributed 42.5% of GDP in 2019 (NBS, 2025). Digital Financial Services (DFS) are promoted as a formalisation pathway, yet recent evidence (2022–2026) shows that while DFS adoption enhances productivity and financial inclusion, it does not automatically trigger business registration or tax compliance. Drawing on institutional logics and gradualism, this policy review of 28 studies finds that Nigeria's current framework conflates digital inclusion with formalisation, suffers fragmented coordination among the Central Bank of Nigeria (CBN), Corporate Affairs Commission (CAC), and Nigerian Revenue …

Trapped In Transition: Structural Change And Political Dynamics In Middle-Income Countries, Gabriel Duvidovich

Dissertations and Theses

The middle-income trap literature has examined why relatively few middle-income countries transition to high-income status. A range of explanations has been proposed, but the political dimension has often been overlooked. Studies that take a political perspective often focus on institutional form rather than the state’s ability to effectively implement policy. This study addresses this gap by bringing political capacity to the center of the analysis. It argues that political capacity appears important for the productive upgrading required for sustained growth in middle-income economies and shapes economic growth trajectories across countries at different income levels.

The empirical analysis uses country-period panel …

The Lottery You Do Not Want To Win: The Role Of Local Institutional Quality In Brazil's Fight Against The Persistent Transmission Of Poverty, Adaye Sosthene Yvan N'Guettia

Economics Honors Projects

When does improving local institutions increase the poverty-reducing effectiveness of transfers? This paper examines whether federal oversight strengthens municipal administration of anti-poverty programs in Brazil. I develop a governance model in which incumbents allocate resources across diversion, effort, and institutional investment under audits and incentives. Using exogenous variation from Brazil's random CGU audit lottery across 5,500 municipalities, I find audits reduce irregularities, strengthen capacity, improve nutritional monitoring and school infrastructure, and reduce extreme poverty — with effects largest in municipalities with weakest institutions. A marginal-value-of-public-funds analysis confirms the program is self-financing. Results show the poverty-reducing power of transfers depends critically …