Results 21 to 30 of about 15,154 (214)
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT SMEs in developing economies operate under persistently volatile environments where economic instability, regulatory uncertainte and technological disruptions threaten their survival. Here, sustainability shifts from long‐term environmental or socioeconomic performance to strategic resilience.
Edet Okon +2 more
wiley +1 more source
The Gini Coefficient Reveals More [PDF]
SSRN Electronic Journal, 2005 We revisit the well-known decomposition of the Gini coefficient into betweengroups, within-groups and overlap terms in the context of two groups in which the incomes in one group may be scaled and that group's population weight modified. In this more general setting than usual, we focus on the properties of the overlap term, proving inter alia that ...
Peter J. Lambert, André Decoster
openaire +1 more source
Automating Sustainability: How Climate Action Unlocks the ESG Potential of Industrial Robotics
Business Strategy and the Environment, EarlyView.ABSTRACT The convergence of Industry 4.0 and global sustainability goals presents a critical paradox: while automation drives efficiency, its net impact on comprehensive environmental, social, and governance (ESG) performance remains contested. This study investigates the relationship between industrial robot and country‐level ESG performance across 63
Brahim Bergougui
wiley +1 more source
Battery Energy, Volume 4, Issue 2, March 2025.Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
On the General Deviation Measure and the Gini coefficient
International Journal of Economic Theory, 2023 AbstractThe General Deviation Measure introduces a progressive definition for financial risk measurement, which presents an alternative to the Coherent Risk Measure. This definition replaces the Translation Invariance and Monotonicity axioms with the Shift Invariance and Nonnegativity axioms, and it includes the Mean Absolute Deviation measure and ...
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The Distributive Consequences of Active Welfare Policies in Europe
European Policy Analysis, EarlyView.ABSTRACT This article examines the distributive consequences of active welfare policies in Europe by analysing tier‐specific investments in individualised employment services across four European welfare states: Denmark, Germany, the Netherlands and the United Kingdom.
Deborah Jackwerth‐Rice +1 more
wiley +1 more source
On Calculation of the Extended Gini Coefficient [PDF]
Review of Income and Wealth, 2001 The conventional formula for estimating the extended Gini coefficient is a covariance formula provided by Lerman and Yitzhaki (1989). We suggest an alternative estimator, obtained by approximating the Lorenz curve by a series of linear segments. In a Monte Carlo experiment designed to assess the relative bias and efficiency of the two estimators, we ...
Duangkamon Chotikapanich +1 more
openaire +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
Journal of Forecasting, EarlyView.ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source