Results 61 to 70 of about 19,138 (302)

ESG Decoupling Phenomenon: A Systematic and Bibliometric Analysis

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT ESG decoupling, defined as the gap between a firm's ESG disclosures and its actual practices, poses a critical challenge to corporate sustainability. Using the PRISMA protocol, 451 articles were selected for a comprehensive bibliometric and systematic literature review to map the intellectual structure and thematic evolution of the research on
Maryam Laeeq   +2 more
wiley   +1 more source

APPLICATION OF THE RANDOM MATRIX THEORY ON THE CROSS-CORRELATION OF STOCK ‎PRICES [PDF]

open access: yesInternational Journal of Mathematical Modelling & Computations, 2016
The analysis of cross-correlations is extensively applied for understanding of interconnections in stock markets. Variety of methods are used in order to search stock cross-correlations including the Random Matrix Theory (RMT), the Principal Component ...
F. Sotoude Vanoliya   +1 more
doaj  

Supply Chain Network, ESG Scores and Financial Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper provides novel evidence on the role of supply chain networks in influencing firms' environmental, social and governance (ESG) scores and financial performance. Our analysis employs financial, board, ESG and supply chain data, resulting in an unbalanced panel of over 16,000 firm‐year observations from 3028 publicly traded US firms ...
Michail Filippidis   +2 more
wiley   +1 more source

How Supply Chain Transparency Shapes the Impact of Green Credit on Corporate Digital Responsibility

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Drawing on panel data from 4229 firm‐year observations of Chinese A‐share listed companies (2011–2022), this study investigates the relationship between green credit and corporate digital responsibility (CDR), focusing on the mediating role of supply chain transparency (SCT).
Muhammad Awais Gulzar   +3 more
wiley   +1 more source

Modified F‐tests for assessing tree radial growth under linear‐circular regression models with correlated errors: A comprehensive toolbox rooted in G. E. P. Box's theorems

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Annual tree growth is a complex biological process. Modelling radial growth in the trunk by linear‐circular regression with one mode and correlated errors has allowed the definition and assessment of a preferred direction for 1 and 2 years. Here, modified F$$ F $$‐tests are presented for 3 years, 1 mode/year; 1 year, 2 modes for possible main ...
Pierre Dutilleul   +2 more
wiley   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja   +3 more
wiley   +1 more source

Generalization of the Analytical Exponential Model for Homogeneous Reactor Kinetics Equations

open access: yesJournal of Applied Mathematics, 2012
Mathematical form for two energy groups of three-dimensional homogeneous reactor kinetics equations and average one group of the precursor concentration of delayed neutrons is presented.
Abdallah A. Nahla, Mohammed F. Al-Ghamdi
doaj   +1 more source

Algebraic Bethe ansatz for the Temperley–Lieb spin-1 chain

open access: yesNuclear Physics B, 2016
We use the algebraic Bethe ansatz to obtain the eigenvalues and eigenvectors of the spin-1 Temperley–Lieb open quantum chain with “free” boundary conditions.
Rafael I. Nepomechie, Rodrigo A. Pimenta
doaj   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu   +7 more
wiley   +1 more source

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