Results 131 to 140 of about 3,645 (233)

Measuring Statistical Dependence via Characteristic Function IPM. [PDF]

Entropy (Basel)
Daniušis P, Juneja S, Kuzma L, Marcinkevičius V.   +3 more
europepmc   +1 more source

CEO Overconfidence, Industry Competition, and ESG Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley   +1 more source

Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption: The Case of American and Polish Data [PDF]

The problem addressed in this article is the bias to income and expenditure elasticities estimated on pseudo-panel data caused by measurement error and unobserved heterogeneity. We gauge empirically these biases by comparing cross-sectional, pseudo-panel
Patrice Gaubert, Marc Gurgand, François Gardes, Greg Duncan, Christophe Starzec   +4 more
core  

When ESG Becomes Value: Stock Market Rewards of Sustainable Banking in Europe

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between sustainable investing and stock performance in the European banking sector. Specifically, it investigates the impact of the overall ESG score as well as the individual ESG pillars on stock performance, with particular attention to differences across high‐capital‐buffer and large‐sized banks.
Antoine B. Awad
wiley   +1 more source

Shape and Scale in Quantifying Aortic Morphology Evolution and Chronicity. [PDF]

Cardiovasc Eng Technol
Pugar JA, Jiang D, Kim J, Pocivavsek L.
europepmc   +1 more source

Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions

An extension of some standard likelihood based procedures to heteroscedastic nonlinear regression models under scale mixtures of skew-normal (SMSN) distributions is developed.
Lachos, Victor H., Garay, Aldo M., Bandyopadhyay, Dipankar   +2 more
core  

Efficient D-optimal designs under multiplicative heteroscedasticity. [PDF]

In optimum design theory designs are constructed that maximize the information on the unknown parameters of the response function. The major part deals with designs optimal for response function estimation under the assumption of homoscedasticity.
Goos, Peter, Tack, Lieven, Vandebroek, Martina   +2 more
core  

When Sustainability Reporting Becomes a Strategy: The Impact of Financial Performance and Institutional Pressures From EU Sustainability Reporting Regulations on ESG Decoupling

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Mitigating environmental, social, and governance (ESG) decoupling is essential to advancing reliable sustainability disclosure and ensuring that ESG reporting fulfills its intended purpose. This study aims to provide critical insights into the organizational and contextual elements that could intensify or diminish ESG decoupling. Using a multi‐
Catarina Cepêda, Albertina Paula Monteiro, Cristina Aibar‐Guzmán   +2 more
wiley   +1 more source

UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming. [PDF]

Sci Rep
Rajendiran G, Rethnaraj J, Zade S, Guttula R, Pandey KK.   +4 more
europepmc   +1 more source

Designing Governance for ESG: Incentive and Oversight Complementarities in Corporate Sustainability Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel, Nehir Balci, Mustafa Reha Okur   +2 more
wiley   +1 more source