Results 81 to 90 of about 11,371 (265)

An Autoregressive Moving Average Model for Time Series with Irregular Time Intervals

Computer Sciences & Mathematics Forum
This research focuses on the study of stochastic processes with irregularly spaced time intervals, which is present in a wide range of fields such as climatology, astronomy, medicine, and economics.
Diana Alejandra Godoy Pulecio, César Andrés Ojeda Echeverri   +1 more
doaj   +1 more source

Data‐Driven Analysis of Green Logistics Strategies for the Logistics and Transportation Companies: A Bipolar Fuzzy Methodology

Business Strategy and the Environment, EarlyView.
ABSTRACT Global imperatives, such as climate change, environmental concerns, and carbon emissions, make green transformation an inevitability in the logistics sector. Green logistics strategy formulation is an economic choice problem, but it also turns out to be a multicriteria decision‐making (MCDM) process that encompasses the triple bottom line (TBL)
Ömer Faruk Görçün, Abhijit Saha, Fatih Ecer   +2 more
wiley   +1 more source

Orchestrating Circularity in UK Accident Repair: An Intermediary Perspective on Green Parts and Reverse Logistics

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the drivers and barriers shaping the adoption of salvaged automotive components (‘green parts’) in the UK accident repair sector and evaluates the strategic implications for intermediary firms in fragmented service ecosystems.
Gu Pang, Hui Sun, Sean Geens, Yeunsoo Park   +3 more
wiley   +1 more source

Integrating ESG Into Business Strategy: Evidence on Firm Performance From European High‐Materiality Industries

Business Strategy and the Environment, EarlyView.
ABSTRACT The integration of environmental, social, and governance (ESG) factors into corporate business strategy has become progressively important, particularly for firms operating in high‐materiality industries where nonfinancial risks are more pronounced. This study examines the association between ESG performance and firm performance among European
Melinda Timea Fülöp, Javier Cifuentes‐Faura, Dan Ioan Topor   +2 more
wiley   +1 more source

A Review of Power Grid Frameworks for Planning Under Uncertainty

Energies
Power-system planning is being reshaped by rapid decarbonisation, electrification, and digitalisation, which collectively amplify uncertainty in demand, generation, technology adoption, and policy pathways.
Tai Zhang, Stefan Borozan, Goran Strbac
doaj   +1 more source

ESG Controversies and Corporate Performance: A Critical Appraisal of Rating Methodologies and Empirical Evidence

Business Strategy and the Environment, EarlyView.
ABSTRACT ESG controversies have become relevant signals in capital markets. However, controversy measurement is not strictly regulated, and evidence on whether and under which conditions such events affect firm‐level performance remains fragmented and lacks quality appraisal.
Paolo Candio, Massimiliano Kaucic
wiley   +1 more source

Economic implications of air quality monitoring: a video analysis approach

Frontiers in Environmental Science
IntroductionThe economic implications of air quality monitoring have become a critical concern in environmental economics, particularly in balancing economic growth with sustainable environmental policies. Traditional methods of assessing air quality and
Zhang Hang, Shenggang Yao, Xiao Sun
doaj   +1 more source

Clathrate hydrate crystallization

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Clathrate hydrate crystallization has been an area of interest to chemical engineers from the point of view of crystal structure, thermophysical properties, phase equilibria, kinetics, industrial applications, and environmental (climate change) implications.
Peter Englezos
wiley   +1 more source

Log-linearization of stochastic economic models†

Journal of Difference Equations and Applications, 2007
This paper studies formally the common practice of log-linearizing stochastic economic models, making precise the conditions under which stability of the original model can be inferred from that of the linearized model. A transformation to recover the stochastic equilibrium of the former from that of the latter is provided.
openaire   +2 more sources

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source