Economics Commons^™

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 …

Assessing Healthcare Access Among Overweight And Obese Individuals In Türkiye Using Latent Variable Modeling, Banu Beyaz Sipahi

Makara Journal of Health Research

Background: Overweight and obesity are critical determinants of healthcare access, yet evidence on how the COVID-19 pandemic reshaped these dynamics in Türkiye remains limited. This study investigates whether the early post-pandemic recovery period altered healthcare access patterns for individuals with excess weight.

Methods: Using nationally representative microdata from the 2014, 2016, 2019, and 2022 Turkish Health Surveys, we constructed a latent Healthcare Access Index based on six indicators of unmet care needs. Probit models were estimated to assess associations between BMI categories and healthcare access, controlling for socioeconomic and demographic factors. The 2022 wave serves as the early …

Gross Metropolitan Product (Gmp) And Gross State Product (Gsp) In The Mountain West, 2024, Devin Streuter, Phillip Seo, Zafeen Boulware, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2024 Gross Metropolitan Product (GMP) and Gross State Product (GSP) data for five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah, and selected metros in these states. The data are derived from a report by the United States Conference of Mayors titled, “U.S. Metro Economies Annual Report and Forecast June 2025."

Unpacking Treatment Effect Heterogeneity In A Large-Scale Dropout Prevention Experiment, Thomas Dee, Chloe R. Gibbs, Rebecca Margolit-Chan, Lillian Morrell, James X. Sullivan

Upjohn Institute Working Papers

Timely high school completion is a critical step in successful transitions to post-secondary schooling and the labor market. This randomized controlled trial, deployed in two urban, disadvantaged school districts, tests the effectiveness of a mature and comprehensive student-support program on an unusually large scale (n=2,528). While overall effects on graduation rates are small and statistically insignificant, exploratory analyses reveal notable variation by site and over time, mirroring heterogeneity in treatment timing and program implementation. These findings highlight the challenges of scaling interventions and raise concerns about generalizing results from small-scale, single-site evaluations.

Preventive Interventions Targeting Social Determinants Of Health: Implications For Healthcare Utilization And Cost, Audrey Wrinkle

NEXUS: The Liberty Journal of Interdisciplinary Studies

Preventive interventions targeting social determinants of health could reduce avoidable healthcare utilization and positively impact long-term cost outcomes within healthcare systems. Evidence indicates that financial and social barriers to preventive care lead to delayed treatment and increased use of high-cost healthcare services in the long term. Preventive interventions focusing on upstream social factors, like home-based care and digital health programs, could improve patient outcomes and reduce avoidable service utilization. Also, incorporating social needs data into policy creation could promote better allocation of healthcare resources. This research highlights the role of prevention-focused strategies in promoting cost-effective, sustainable healthcare delivery.

Determinants Of Ai Adoption In Banking: Evidence From Tunisia, Rahma Khattab, Sami Bacha

Arab Economic and Business Journal

This study investigates the factors influencing customers’ intentions to adopt Artificial Intelligence (AI) banking services in Tunisa. Building on an integrated framework combining the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Theory of Planned Behavior, Perceived Risk Theory, and Diffusion of Innovation Theory, the study investigates how perceived usefulness, perceived ease of use (, awareness, knowledge, attitude, subjective norms, trust, and perceived risk influence AI adoption intentions. Using survey data from 400 Tunisian retail banking customers and applying regression analysis, the findings show that perceived usefulness, perceived ease of use, subjective norms, and trust positively and …

20 Years Of The Kalamazoo Promise: A Visual Guide To Selected Highlights, Kathleen Bolter

Reports

No abstract provided.

Airline Ticket Anaysis, Emerson Kohl, Ivan O'Neil

Discovery Day - Daytona Beach

While the U.S. domestic airline industry generates hundreds of billions in annual revenue, the mechanics of airfare pricing remain remarkably opaque to travelers and analysts alike. Prices for geographically similar routes often diverge sharply, driven by a complex interplay of structural constraints and market pressures. This study elucidates the primary drivers of ticket pricing by analyzing high-frequency data from the Bureau of Transportation Statistics DB1B database.   Utilizing an Ordinary Least Squares framework, the research evaluates how route distance, carrier concentration, passenger throughput, and seasonal fluctuations collectively dictate average fares. By quantifying these relationships in Python, the analysis seeks to isolate …