Results 91 to 100 of about 82,495 (263)
ABSTRACT This study examines the impact of firm‐level climate risk on stock price informativeness (SPI) through the integrated lens of stakeholder–shareholder theory. Using a global unbalanced panel of 73,770 firm‐year observations across 38 countries (2000–2020), we find that higher carbon emissions significantly reduce SPI, reflecting increased ...
Rawinder Kaur +4 more
wiley +1 more source
Despite the implementation of numerous interventions to enhance urban traffic safety, the estimation of the risk of traffic crashes resulting in life-threatening and economic costs remains a significant challenge.
Bihui Zhang +5 more
doaj +1 more source
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source
Traffic Model and On-Ramp Metering Strategy under Foggy Weather Conditions Using T-S Fuzzy Systems
Foggy weather seriously deteriorates the performance of freeway systems, particularly regarding traffic safety and efficiency. General macroscopic traffic models have difficulty reflecting the characteristics of a freeway under foggy weather conditions ...
Changle Sun, Hongyan Gao
doaj +1 more source
From Ecosystem Threats to Balance Sheets: Biodiversity Risks Exposure and Corporate Cash Policies
ABSTRACT This study investigates how firms strategically respond to biodiversity risk by examining their cash holding decisions. Using firm‐level data from China, we find that firm‐level biodiversity risk exposure significantly increases corporate cash holdings.
Jing Hao +4 more
wiley +1 more source
A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections
Traffic crash prediction (TCP) is a fundamental problem for intelligent transportation systems in smart cities. Improving the accuracy of traffic crash prediction is important for road safety and effective traffic management.
Mengxiang Wang +5 more
doaj +1 more source
A FRAMEWORK FOR REAL-TIME CRASH PREDICTION: STATISTICAL APPROACH VERSUS ARTIFICIAL INTELLIGENCE
The attempts to predict crashes on freeways through statistical modeling involving capacity driven measures of traffic flow (e.g., AADT) and road geometry have spanned for more than two decades. However, success in crash prediction involving these static data has so far been limited.
Hossain M., Muromachi Y.
openaire +2 more sources
ABSTRACT Biodiversity‐related financial risk is increasingly recognized not only as a market concern but as an ethical and systemic imperative for businesses and financial institutions. This systematic literature review synthesizes 103 peer‐reviewed studies to examine how biodiversity risk is conceptualized, measured, and integrated within financial ...
Thang Ngoc Dang +3 more
wiley +1 more source
Reputational Risk: An Investigation Into How Environmental Failures Drive Stock Price Crashes
ABSTRACT The study examines the relationship between stock price crashes and firm environment reputational risk. Using a large sample of US listed firms, covering a time span from 2007 to 2021, we test the effect of environmental reputation risk on three measures for the stock price crash risk (NEGCSK, DRUV, and CRASH).
Man Dang +4 more
wiley +1 more source
Climate Change Risks and Customer Concentration: Evidence From US‐Listed Firms
ABSTRACT While prior studies have investigated climate risks in supply chains, customer ESG pressures, and shared climate exposure, this paper is, to the best of our knowledge, the first to provide direct empirical evidence on the relationship between climate change risks and firms' customer concentration.
Thi Thuy Trang Nguyen +2 more
wiley +1 more source

