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Democratic Economic Planning From And For Social Reproduction: Foundations For A Postcapitalist Research Agenda, Sophie Elias-Pinsonnault, Bengi Akbulut, Audrey Laurin-Lamothe

Emancipations: A Journal of Critical Social Analysis

As ecological and social crises render the transformation of capitalist economic organization increasingly urgent, the resurgence of interest in democratic economic planning confronts a foundational blind spot: the systematic neglect of social reproduction. This paper argues that any genuinely needs-based planned economy must extend its scope beyond formally recognized productive activities to encompass the full spectrum of reproductive labor through which human and non-human life is sustained and regenerated. Drawing on feminist political economy and the Marxist-feminist tradition, the authors argue that meeting needs requires more than reorganizing production: it demands confronting the question of who does reproductive work, at …

The Dynamic Interplay Between Agency Costs And Whistleblowing: Evidence From West African Banks, Titilayo Moromoke Oladejo Dr.

Arab Economic and Business Journal

Agency issues have been a significant issue of governance in banks, particularly in the emerging economies where information asymmetry and ineffective monitoring mechanisms allow managerial opportunism. In West Africa, banking crises are common and are associated with excessive insider lending, ineffective board supervision and internal controls, which highlights the importance of more effective governance mechanisms. This paper examines the two-way relationship between the agency costs (AGC) and whistleblowing (WBH) in listed banks in Nigeria and Ghana. The analysis is based on panel data from 2017-2024 and a two-step System GMM, which adjusts the endogeneity and dynamic effects and estimates the …

How Do Habitual Entrepreneurs Develop Entrepreneurial Addiction?, Wan Khairul Anuar Wan Abd Manan, Athirah Ismail, Puteri Fadzline Muhamad Tamyez Fadzline

Journal of Business & Entrepreneurship

Habitual entrepreneurs are a key driver of economic development. Hence, it is important to generate a more detailed understanding of their addictive behaviour while running their businesses. The purpose of this study is to explore whether and how habitual entrepreneurs develop entrepreneurial addiction and the effects of this addiction. The study is based on a qualitative research design and analyzes the development of entrepreneurial addiction among habitual entrepreneurs. Findings indicated that habitual entrepreneurs actively develop entrepreneurial addiction after owning three businesses, due to several symptoms, namely, fulfilment, opportunity obsession, tolerance, engagement, and neglect, along with prior entrepreneurial experiences. Habitual entrepreneurs …

Ai Adoption And Organizational Resilience In Turbulent Environments: The Mediating Role Of Employee Digital Literacy And The Moderating Role Of Innovation-Supportive Climate In The Iraqi Hospitality Sector, Hasan Mutashar Gbouri

Arab Economic and Business Journal

This study examines whether adopting artificial intelligence (AI) strengthens organizational resilience when the operating environment is hostile, and identifies the internal conditions an organization must satisfy before an AI investment translates into resilience. Two mechanisms anchor the argument: employee digital literacy, which carries the effect, and an innovation-supportive climate, which conditions it. We surveyed 400 employees across three premium hotels in Baghdad, Iraq, sampled by operational level, and tested the model with structural equation modeling in AMOS 26.0. The results show that AI adoption alone yields only a modest direct gain in resilience. Slightly more than half of its total …

When Auditors Trust Ai: A Qualitative Study Of Professional Judgment, Data Quality, And Adoption Barriers In Lebanon, Joseph Serghani

Arab Economic and Business Journal

This study explores auditors’ trust in AI in a limited-resource and turbulent context, namely Lebanon. Using semi-structured interviews with 14 junior and senior auditors in Lebanon, this study identifies the factors that make auditors either willing or unwilling to trust in AI-powered audit processes. The results indicate that auditors perceive the potential benefits of AI, such as increased speed, capacity, and ability to detect anomalies. Yet, trust in AI is limited by concerns about implementation costs, the erosion of professional judgment, blockchain complexity, data overload, and reliance on high-quality data. Instead of excluding AI from the equation, auditors perceive it …

Work From Home In The Public And Private Sector, Harley Frazis

Upjohn Institute Working Papers

Working from home has remained a prominent part of the labor market after the COVID-19 pandemic. However, in January 2025 President Trump issued an executive order restricting the use of work from home (WFH) in the federal government. This paper examines trends in WFH by class of worker: private for-profit, private not-for-profit, federal, state, and local government. It evaluates how WFH evolved across different classes after accounting for differences in occupation and education, with a focus on trends for WFH in the federal government, relative to the for-profit class, before and after the restriction in federal WFH. Overall, “hybrid” WFH—working …

Employing Derivatives In Exchange-Traded Funds: International Perspective And Polish Evidence, Tomasz Miziołek

Journal of Banking and Financial Economics

The main aims of the paper are to examine the use of derivatives by 13 exchange-traded funds primarily listed on the Warsaw Stock Exchange over 2010–2025, including their magnitude and functions, and to identify patterns in derivative use over the past three decades worldwide. The results reveal that derivative use was common among exchange-traded funds listed on the Warsaw Stock Exchange; however, it was limited to basic applications. Futures (standard, e-mini, and micro e-mini) were used to obtain leveraged or inverse market exposure or as a supplement to equity holdings, total return swaps were used for synthetic replication, and forwards …

Innovation-Driven Development Of Advanced Manufacturing Industry Clusters: Trends, Issues, And Implications For 15th Five-Year Plan, Mu Rongping, Jingjing Guo, Yuchen Li, Qiang Li, Ze Feng, Mengyuan Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advanced manufacturing industry clusters have emerged as a key driver of global manufacturing transformation and upgrading, playing an increasingly significant role in technological innovation, industrial collaboration, supply chain resilience, and green, low-carbon development. This study systematically analyzes the innovation development trends of advanced manufacturing clusters worldwide, outlining the strategic layouts, policy measures, and implementation pathways adopted by major countries. Based on a comprehensive review of China’s current development status and prominent challenges in this field, the study proposes targeted policy orientations and recommendations. These policy recommendations include strengthening the innovation capacity of clusters, improving collaborative innovation networks, promoting the integration …

Building Ai-Native Innovation System To Drive Transformation And Innovation In Research Organization And Management Models, Hong Xuehai

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is profoundly reshaping research paradigms. This study aims to analyze the intrinsic mechanisms through which AI empowers scientific research and its impact on the organizational management models of research. By summarizing what AI can and cannot do in empowering research, it reveals the current effectiveness and capability boundaries of AI in this domain. Based on the extraction of common core conditions for AI-empowered research and the deconstruction of typical cases of AI-enabled research organizational models, this study analyzes the differences between the organizational management model of AI-empowered research and traditional research organizational models. Furthermore, it proposes three …

Understanding And Foresight On Construction Of Foundation Model Industry Innovation Ecosystem, Liu Liu, Chunhui Jia, Yangfan Han, Qiqi Zhang, Jialin Li, Dayuan Li, Junpu Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Foundation models are a key vehicle driving artificial intelligence toward general intelligence, and their industrialization urgently requires support from a systematic and collaborative innovation ecosystem. This study focuses on the construction of the foundation model industry innovation ecosystem. It first reviews the frontier progress and identifies its essence as a complex innovation network featuring the three-dimensional synergy of technological, organizational, and industrial architectures, and then analyzes the architecture along the upstream, midstream, and downstream of the industrial chain: the upstream supports computing power and data, the midstream undertakes algorithmic innovation and platform services, and the downstream realizes multi-scenario value transformation. …

Volatility Spillovers Between Stock Prices And Exchange Rates: Insights For Risk Management And Investment Strategies: Evidence From China, India, And Pakistan Using Bekk-Garch Models, Samreen Fatima, Humera Sultana, Muhammad Najamuddin Dr., Saba Naz

The Indonesian Capital Market Review

This study investigates the dynamics of volatility and its spillover effects between the stock markets of China, India, and Pakistan, and their respective exchange rates (USD/CNY, USD/INR, and USD/ PKR). Volatility is modeled using the Symmetric and Asymmetric BEKK-GARCH (1,1) and DCCGARCH (1,1) models, based on daily return series covering the period from January 1, 2019, to January 31, 2025. The empirical results indicate that both the employed models are adequate for capturing the volatility dynamics. The findings reveal that the highest value of portfolio weights and hedging efficiency of KSE-100 Index–USD/PKR provide optimal portfolio allocation and highest hedging performance …

Impact Of Trade And Financial Openness On The Efficiency Of The Nigerian Stock Market, Damian Chidozie Uzoma-Nwosu Dr, Samuel Orekoya Dr, Oluwatosin Adeniyi

The Indonesian Capital Market Review

The study investigates the impact of Financial Openness (FOp) or/and Trade Openness (TOp) on the efficiency of the Nigerian Stock Market (NSM). Applying auto-regressive distributed lag model on stock market data, the result revealed that either in individual models or when in one model, an increase in TOp significantly increased the efficiency of the NSM in both the short and long-run, while the contrary holds for a percentage increase in FOp over 2010-2020. This suggests that TOp rather than FOp, significantly contributed to the efficiency of the NSM. Thus, TOp and FOp have differentiated impacts on stock market efficiency. Policymakers …

Usability Of Bitcoin As Currency In Türkiye: Fourier Shin Approach, İsmail Cem Özkurt, Deniz Özyakışır, Yunus Kutval

The Indonesian Capital Market Review

This paper seeks to assess the feasibility of utilizing Bitcoin as a currency within Türkiye. To achieve this, the research analyzes long-term cointegration relationships between Bitcoin and both the US Dollar and Euro, employing monthly data from November 2017 to February 2025 and utilizing the Fourier Shin cointegration test. The results of the cointegration tests, bolstered by Fourier series analysis, reveal significant long-term cointegration relationships between Bitcoin and both the USD and Euro. The DOLS analysis indicates that a 1% rise in Bitcoin leads to a 14% decrease in the USD price and a 17% increase in the Euro. These …

Modern Economic Analysis And Antitrust Law: A Guide, Steven C. Salop

Georgetown Law Faculty Publications and Other Works

This book presents a modern economics approach to antitrust law. It expands upon and supplements traditional legal analysis of antitrust law and policy. It does so by analyzing antitrust legal standards and case law through the lenses of industrial organization economics and decision theory. The work is intended to be a comprehensive introductory guide for students, practitioners, and anyone else interested in learning the core of modern antitrust economics. Understanding the economics of antitrust and decision theory and applying that reasoning to specific cases and issues are critical steps for successfully studying and practicing antitrust law and policy. It treats …

How To Simplify The Mrel/Tlac Framework In The Eu? A Proposal For A Regulatory Resolution Requirement, Anna Dobrzańska

Journal of Banking and Financial Economics

The current European Union (EU) framework for bank loss-absorbing capacity rests on two parallel requirements: Minimum Requirement for Own Funds and Eligible Liabilities (MREL) and Total Loss-Absorbing Capacity (TLAC). This creates complex and overlapping requirements. Furthermore, the adopted bank-specific approach to MREL calibration results in complexity, variability, and insufficient predictability of requirements. The aim of this article is to provide a new streamlined and simplified approach under the three-tiered Regulatory Resolution Requirement (RRR) which could replace the MREL/TLAC framework in the EU. The main idea behind the proposal is to adjust the requirement taking into account bank size and systemic …

Cybersecurity Governance And Bank Performance In Tunisia: An Exploratory Mixed-Methods Analysis Of Iso/Iec 27001 Certification, Asma Redissi

Arab Economic and Business Journal

This study contributes novel difference-in-differences evidence on ISO/IEC 27001 certification and bank performance in an emerging market. Using a sequential mixed-methods design combining CISO interviews and panel data from twelve Tunisian banks (2016-2023), we document a cybersecurity performance paradox: certification is operationally indispensable yet financially invisible in the short run. The DiD coefficient is non-significant for profitability (ROE: β = +0.0046, p = 0.827), while a significant delayed revenue effect emerges post-certification (NBI: β = +0.123, p = 0.036). Institutional voids and low stakeholder cyber-literacy may weaken the signaling mechanism, suggesting mandatory certification frameworks in emerging banking markets.

How Migrants Fleeing The Mexican Drug War Changed American Labor Markets, Mark Borgschulte, Yuci Chen, Eduardo Medina-Cortina

Upjohn Institute Policy and Research Briefs

No abstract provided.

Blue Economy In Madura: Research Trends And Structural Change, Herry Yulistiyono, Aditya Tri Prasetyo, Ari Warokka

Jurnal Ekonomi dan Studi Pembangunan

This study examines the development of the blue economy in Madura through bibliometric analysis, focusing on research trends and economic structural changes from 2020 to 2024, as well as analyzing gaps and potential areas for future research. The methodology employed is a quantitative approach utilizing bibliometric methods. Data were obtained from scientific publications and analyzed using metrics that measure the ratio of citations to publications.

The results indicate a significant increase in the number of publications on the blue economy in Madura, peaking in 2023 with 29 researchers focusing on diverse topics. Performance metrics analysis revealed Marine Policy as the …

Addressing The ‘Chicken-And-Egg’ Dilemma: Pension Reform, Market Coordination, And Policy Design, Shujaat Khan, Bo Li, Yunhui Zhao

Journal of Banking and Financial Economics

Why do domestic stock markets in many emerging market economies fail to develop, even in the presence of high savings rates? In this paper, we argue that this may be a ‘chicken-and-egg’ problem, which we formalise as a market coordination failure. We first develop a stylised game-theoretical model, showing that when long-term equity investment is subject to network externalities, the Pareto-optimal, high-investment equilibrium is not robust to noise. Individual investors, fearing defection by others, will rationally choose a low-investment (or ‘run’) strategy, trapping the market in a state of underdevelopment. We then show how a specific institutional design – a …

The Specifics Of Green Mortgages: A Case Study Of Poland, Mateusz Tomal, Ewa Gorlecka-Łabiak

Journal of Banking and Financial Economics

The green mortgage market in Poland has received limited research attention. Therefore, this article aims to present the specifics of the green mortgage market in Poland. To thoroughly investigate the issue, in-depth interviews were conducted with 12 banking sector representatives, each with varying experience and professional roles. The study’s findings revealed that there is no formal definition of green mortgages, which hinders both banks and their customers. Currently, green mortgages are rarely granted due to their limited economic benefit to borrowers and the small number of residential properties that qualify. For banks, green mortgages present an opportunity to expand their …

Second-Layer Money Or Fiduciary Media? A Full-Reserve Critique Of Bitcoin Price Stabilization: A Comment On Blasco And García De Enterría, Philipp Bagus, Joel Serrano

Journal of New Finance

This article critically examines Blasco and García de Enterría’s proposal that certain Bitcoin-denominated second-layer instruments—real bills, private scrip, and cash notes—could reduce Bitcoin’s short-term volatility and function as media of exchange. From a full-reserve Austrian perspective, it argues that the relevant distinction is not between base money and higher layers as such, but, within those layers, between fully backed monetary certificates and fiduciary media. Although second-layer instruments may smooth short-term volatility, those that operate as fiduciary media introduce counterparty risk, redemption risk, and credit expansion unsupported by real saving, potentially generating long-term instability.

The Institutional Production Of Ethical War Across Modern Conflict, Katerina Udov

Binghamton University Undergraduate Journal

This paper argues that modern warfare operates through an ethical infrastructure that enables, rather than restrains, the use of violence. Contrary to the common assumption that moral frameworks such as Just War Theory function as safeguards against harm, the historical record shows that ethical language, humanitarian rhetoric, and democratic narratives serve as mechanisms to legitimize intervention, manufacture consent, and naturalize civilian suffering. Through case studies including Vietnam, Iraq, Afghanistan, U.S.-backed coups in Latin America, and French intervention in Mali, the paper traces how political leaders, media institutions, and corporate actors frame war as a moral necessity while pursuing strategic and …

Socio-Demographic Correlates Of Consumers’ Readiness To Use Ai In Financial Decision-Making, Michał Buszko, Tomasz Szopiński

Journal of Banking and Financial Economics

This study investigates the socio-demographic factors associated with readiness to use AI-driven tools in financial decision-making. It uses data from a representative survey of Poles and conceptualises an AI readiness index. It then estimates the relationships between socio-demographic characteristics and this index using an ordinary least squares (OLS) regression model. Additionally, robustness checks are conducted with heteroskedasticityrobust standard errors and multiple imputation. The OLS results were supplemented by one-way Analysis of Variance (ANOVA) with Tukey’s Honestly Significant Difference (HSD) post hoc tests to identify groups’ differences. The results demonstrate that gender, age, education, and income are significantly associated with consumers’ …

The Effectiveness Of Banks’ Influence On Reducing Greenhouse Gas Emissions In Eu Agriculture, Jan Koleśnik

Journal of Banking and Financial Economics

This article analyses the effectiveness of the banking sector in limiting greenhouse gas (GHG) emissions in European Union agriculture and the impact of EU banking groups‘ policies on their Polish subsidiaries. The study is based on data from 2019–2025 sourced from the Eurostat database, the European Banking Authority (EBA), and capital adequacy disclosures (CQ5 and CR1-B reports). The research sample included 14 EU countries with an agricultural share in GDP of between 1% and 3.6% and 62 EU banking groups at the highest level of consolidation. A linear regression model was employed, using the change in gas emissions as the …

Efficient Dynamic Mechanism Design Without A Common Prior, Dirk Bergemann, Marek Bojko

Cowles Foundation Discussion Papers

We study efficient dynamic mechanism design with independent private values when agents do not share a common prior over the stochastic environment. Each agent privately observes the stochastic kernel governing the evolution of her own type and may hold arbitrary beliefs about the kernels of others. We extend the agents’ type space to include the kernel itself and show that the dynamic team mechanism of Athey and Segal (2013) and the dynamic pivot mechanism of Bergemann and Välimäki (2010) implement the socially efficient allocation in periodic ex-post equilibrium. We further show that kernels can be elicited only once, at the …

Modeling And Forecasting Intraday Spot Volatility, Adam Clements, Daniel P. A. Preve

Research Collection School Of Economics

We propose a multiple-equation regression-based method for modeling and forecasting intraday spot volatility. In this approach, intraday intervals are treated as individual time series, deviating from the common practice of treating the data as one continuous sample. Our empirical study, which spans more than two decades and encompasses six US blue-chip stocks, employs the recent OK volatility estimator developed by Li, Wang, and Zhang (2024) to expose the dynamics of latent intraday spot volatility over time. We demonstrate that the proposed method effectively captures the intricate dynamics of intraday spot volatility and find strong evidence that it outperforms a competing …

Data-Driven Decision-Making Capacity Of State Vr Agencies, Catherine Ipsen, Christopher Clapp, Jordan A. Costello

Employment

Federal agencies are required to use data to support policy and program decisions. This factsheet explores VR capacity to use their data to shape decision-making and develop return on investment (ROI) models.

Labor Market Outcomes Realized By Senior High School Graduates: A Research Note, Francine Ysabel D. Gañgan, Tereso S. Tullao, Jr.

DLSU Business & Economics Review

The study evaluates the impact of the K-12 reform on providing employment opportunities to senior high school (SHS) graduates. It employed a novel strategy for causal inference using two rounds of the merged Family Income and Expenditure Survey-Labor Force Survey (FIES-LFS) in 2015 and 2023. High school graduates from FIES-LFS 2015 form the control group, whereas SHS graduates from FIES-LFS 2023 form the treatment group. This design provided a clear demonstration of the causal effect of graduating from SHS on their labor market outcomes. The study performed a two-stage methodology: propensity score matching and adjusted multivariate regression after achieving matching …

Building Community Leadership Capacity Through Extension Partnerships: An Evaluation Case Study, Paul A. Hill, Lendel K. Narine

Journal of Human Sciences and Extension

This evaluation study examines the effectiveness of the Leadership Dixie program in enhancing leadership capacity among participants in Washington County, Utah. As a program partner, Utah State University (USU) Extension conducted the evaluation on the program’s 25th class, comprising 27 participants (N = 27). The program, characterized by 10 monthly “Challenge Day” field tours, was evaluated using two instruments to collect data on participant learning and satisfaction levels, overall program experience, demographics, and impacts on social capital, interpersonal leadership skills, community engagement, and volunteerism. Results indicate strong positive outcomes in social capital, community engagement, and volunteerism while highlighting areas for …

Long-Run Effects Of H-1b Immigration On The U.S. Economy, Ran Abramitzky, Leah Boustan, Ahmet Gulak, Jens Hainmueller

Cowles Foundation Discussion Papers

We study the effects of H-1B immigration on U.S. industries that employ H-1B workers and their trading partners. Using a novel cross-industry design and the 1999–2003 expansion of the H-1B visa cap for identification, we find that H-1B exposure raised incomes for natives and pre-existing immigrants, with gains concentrated in non-STEM occupations. Income gains propagate forward through supply chains to downstream industries but not backward to upstream industries, consistent with a productivity shock rather than a labor supply shock. We find no direct effect on patenting, suggesting that productivity gains arise from better task execution rather than patentable invention.