📈 economics

Architecture-Commitment as a Substitute for Rule-Commitment in Mechanism Design under Distributed Authority

This paper demonstrates that when a principal lacks commitment power over downstream rules due to delegated authority, a welfare-maximizing, type-independent architectural design can substitute for rule-commitment by rendering information screening wasteful and pointwise dominating all report-contingent mechanisms under specific monotonicity and participation conditions.

Craig Wright2026-08-05
📈 economics

Application of Contingent Valuation Method (CVM) to assess residents' willingness to pay for Sustainable Choke Mountain Ecosystem, East Gojam, Ethiopia

This study utilizes the Contingent Valuation Method and a Probit model on 408 households in East Gojam, Ethiopia, to identify that while factors like income, education, and environmental perception positively influence residents' willingness to pay for Choke Mountain's ecosystem services, age and bid size negatively impact it, thereby recommending gender-sensitive and economically fair management strategies.

Yibeltal Bantie Kebie, Getinet Asabu Ewunetu, Megibar Wondie Birhan, Sintayehu Adefires Abebe, Mulu Sewinet Kerebih, Wor (…)2026-08-05
📈 economics

Capital Management and Profitability of Listed Financial Services Firms in Nigeria: Moderating Role of Regulatory Framework

This study utilizes panel data from 22 Nigerian financial-services firms (2012–2024) to demonstrate that while various capital-management components significantly influence profitability, the regulatory framework of capital adequacy acts as a critical moderator that reshapes these relationships, thereby validating the integration of resource-based and regulatory capital theories in an emerging market context.

Jerry D Kwarbai, Grace O. Ogundajo, Olabode Paul AREMU, Chinedu G Ahannaya2026-08-05
📈 economics

From digitalization to resilience: How digital transformation and climate readiness shape bank stability in Indonesia

This study of 98 Indonesian banks from 2014 to 2023 reveals that while digitalization and climate readiness individually enhance bank stability, their simultaneous implementation creates a "double burden" that attenuates digital benefits due to transition costs, suggesting policymakers should adopt proportionate strategies to mitigate these challenges.

Trisninik Ratih Wulandari, Bimo Saktiawan, Tarysha Aulya Putri Rany, Erfan Rachmadi, Besse Nur Fatimah Hefri2026-08-05
📈 economics

Credit-reporting beliefs, affordability-related use and self-reported late payment among U.S. buy-now-pay-later users: a cross-sectional analysis of the 2025 SHED

This cross-sectional analysis of the 2025 SHED data reveals that while beliefs about credit reporting are not significantly associated with self-reported late payments among U.S. BNPL users, using BNPL for affordability reasons, groceries, or medical expenses, as well as experiencing financial strain, are strongly linked to higher risks of late payment.

Kaibo Tang2026-08-05
📈 economics

Weaponized supply: a synthetic-control evaluation of the 2025 rare- earth export controls on importer prices, manufacturing, and substitution

This paper employs an augmented synthetic control design to demonstrate that China's 2025 heavy rare earth export controls produced heterogeneous price effects across importer countries and product categories, driven by substitution availability and technological adaptation rather than the intensity of pre-existing supply exposure.

Muhammad Afnan Arif2026-08-05
📈 economics

An Assessment of Financial Health and Prediction of Financial Distress in Selected Steel Companies Listed on the National Stock Exchange of India Using Altman's Z-score and Springate's S- Score Models

This study evaluates the financial health and predicts potential distress of four major Indian steel companies (JSW, Tata Steel, SAIL, and JSPL) from 2021 to 2025 using Altman's Z-Score and Springate's S-Score models, revealing a predominantly challenging landscape marked by widespread operational and liquidity issues that necessitate strategic interventions for long-term stability.

R. Sivakumar2026-08-05
📈 economics

Artificial Intelligence, Large Language Models, and Machine Learning in Islamic Finance: A Bibliometric and Content Analysis Review (2018-2025)

This bibliometric and content analysis review of 45 peer-reviewed articles (2018–2025) maps the rapid growth of AI and machine learning research in Islamic finance while critically identifying a significant gap in the application of large language models and retrieval-augmented generation to AAOIFI standards, proposing a new research agenda to address this frontier.

Ayoub KHODAR, Mohammed Salah CHIADMI, Youssef LAMRANI, Yahya HANINE2026-08-05