This paper examines the effect of government procurement on the firm-level labor share in China. Using manually collected local government contract data matched with A-share non-financial listed firms from 2015 to 2023, we find that firms receiving government procurement contracts experience...

Rapid urbanization in cities worldwide has led to significant environmental, social, and economic challenges. These include heightened exposure to extreme weather and climate events, increased air and water pollution, rising poverty levels, shrinking green spaces, and greater risks to lives,...

The aim of this report is, first, to inform about the current and projected changes to heat stress hazard and exposure as a result of climate change, particularly in urban areas; second, highlight the socioeconomic impacts of heat, including on human health, labor productivity, and mortality;...

This report summarizes the results of a diagnostic review of wildfire risk and management capacity in Iceland, and includes technical recommendations that can guide policy discussions, decisions, and actions in the immediate/short term as well as the medium to long term. The review followed the...

With the growing complexity and uncertainty of the global supply chain, firms face more severe supply chain risks. This study integrates subjective risk perception and objective risk exposure into a unified analytical framework to explore the impact of supply chain digitalization (SCD) on firms'...

Central clearing counterparties (CCPs) manage counterparty risk by requiring clearing members to post margins. This paper explores the role of margins as "canaries in the coal mine:" By inducing defaults of fragile counterparties before contract maturity, margin calls enable CCPs to transfer...

The literature on derivative pricing in illiquid markets has mostly focused on computing optimal hedging controls, but empirical microstructure studies show that large order flow generates persistent and predictable price effects. Therefore, these controls can themselves induce endogenous market...

We propose a robust semi-parametric framework for persistent time-varying extreme tail behavior, including extreme Value-at-Risk (VaR) and Expected Shortfall (ES). The framework builds on Extreme Value Theory and uses a conditional version of the Generalized Pareto Distribution (GPD) for...

This paper examines the relevance of banks' exposure to climate transition risk in the interbank lending market. Using transaction-level data on repo agreements, we first establish that banks with higher exposure to transition risk face significantly higher borrowing costs. This premium is a...

We investigate the impact of structural shocks on the joint distribution of future real GDP growth and inflation in the euro area. We model the conditional mean of these variables, along with selected financial indicators, using a VAR and perform quantile regressions on the VAR residuals to...

This study examines the systemic operational risk in Morocco's banking sector using a Panel VAR model based on data from three banks over ten years. The model includes real GDP, interbank rate (TMP), and bank credit, alongside indicators of operational, credit, and liquidity risks. The Impulse...

This study examines how geographic distance to Vietnam's centralized securities regulator-the State Securities Commission (SSC)-influences firm-level stock price crash risk. In emerging markets characterized by weak governance, corruption, and political connections, distance can erode monitoring...

Background: Digital transformation has become a vital driver of competitiveness in the hospitality industry. This study investigates the role of digital agility in enhancing competitive advantage in Egypt's luxury hotel sector, focusing on the parallel mediating effects of supply chain agility...

Businesses increasingly rely on algorithmic systems and machine learning models to make operational decisions about customers, employees, and counterparties. These "algorithmic operations" can improve efficiency but also concentrate liability in a small number of technically complex, drifting...

Background: This study examines how AI-driven metaverse integration enhances sustainable manufacturing performance in Jordan's industrial sector, with particular emphasis on the mediating role of digital supply chain resilience. Grounded in resource orchestration theory (ROT), the research...

Despite the central role of corporate tax departments in managing multinational enterprises' (MNEs) global tax positions, little is known about how their internal design shapes corporate tax behavior. Drawing on hand-collected data on more than 8,000 tax employees across 309 publicly listed...

We study how global supply chain disruptions affect monetary policy transmission. Post-pandemic evidence indicates surging transportation costs, goods-market imbalances, and rising prices. We develop a model in which logistical bottlenecks (upstream slack coexisting with downstream shortages)...

This paper aims to explore the impact of climate-related risks on corporate performance, specifically within the healthcare sector.It analyses three key factors: climate risk physical leverage, government climate risk scores and environmental performance scores, using global data from 977 firm...

Background: The rapid growth of e-commerce has intensified the need for last-mile delivery systems that can navigate urban congestion while minimizing environmental impact. Hybrid truck-drone networks offer a promising solution by combining heavy-duty ground transport with aerial flexibility;...

Background: In an increasingly volatile global business environment, supply chain resilience has become a strategic imperative, particularly for firms operating in developing economies. Guided by Dynamic Capabilities Theory (DCT), this study examines how AI-powered tools foster an innovation...

Background: In this new era, marked by increasing environmental concerns, geopolitical crises, and global disruptions, traditional efficiency-focused supply chains have shown significant vulnerabilities. As a result, the shift toward new strategies to maintain sustainability has become more...

Background: this study aims to investigate the impact of supply chain risk management (SCRM) on supply chain resilience and robustness providing empirical evidence from an underexplored emerging economy. Methods: drawing on empirical data collected through a survey of 110 Moroccan manufacturing...

Background: The primary objective of this study is to investigate the influence of big data analytics (BDA) on supply chain (SC) risk, SC ambidexterity, and SC resilience. It further examines the effects of SC risk and SC ambidexterity on SC resilience and explores their mediating roles in the...

Background: This study examines the degree to which cognitive supply chain management (CSCM) indirectly enhances supply chain risk management (SCRM), addressing the lack of specific empirical research concerning the underlying mechanisms of this relationship. Specifically, this study tests the...

Background: Nearshoring has risen after shocks and policy shifts. We synthesize evidence in a compact loop linking triggers (trade frictions, supply-chain risk, new agreements) to location choices mediated by multidimensional proximity (geographic, institutional, organizational, social,...

The rapid expansion of small and medium enterprise (SME) lending has intensified the need for accurate and interpretable credit risk forecasting. Financial institutions must anticipate potential business loan delinquency to maintain portfolio stability and meet regulatory standards. This study...

This paper investigates tail-risk transmission and asymmetric dependence in commodity markets using an asymmetric fuzzy vine copula framework applied to gold, crude oil, natural gas, and silver from 1 January 2015 to 1 January 2025, extracted from Yahoo Finance. Bootstrap-based trapezoidal fuzzy...

This knowledge note provides a short overview of IWFRM approaches and select examples of different initiatives and approaches. The objective is to provide a succinct summary that can inform initial research and discussions in countries that are looking to reform their system and identify...

This paper applies network analysis to examine the impact of non-bank financial institutions (NBFIs) and financial market stress on contagion risk within the interbank network. Using network-based simulations on euro area banks’ supervisory data, we find that banks’ strong capital and...