Results 111 to 120 of about 23,659 (294)
Decarbonization in Financial Turbulent Times: Global Value Chains and Regulatory Framework
ABSTRACT This study examines how participation in global value chains (GVCs) influences carbon emissions amid financial turbulence, with attention to cross‐country heterogeneity and distributional dynamics. Although existing research has explored trade–environment linkages, limited attention has been given to how GVC integration interacts with ...
Xiaoyong Xu +4 more
wiley +1 more source
Robust estimation using multivariate t innovations for vector autoregressive models via ECM algorithm. [PDF]
Nduka UC, Ugah TE, Izunobi CH.
europepmc +1 more source
ABSTRACT The circular economy (CE) has become a major focus in energy and environmental (E&E) research, as it helps advance sustainable development, improve resource efficiency and alleviate environmental pressure. Even so, the literature is still fragmented, particularly in the CE themes it explores, the levels of analysis it adopts and the methods ...
Jahira Debbarma +2 more
wiley +1 more source
Inference of Impulse Responses via Bayesian Graphical Structural VAR Models
Impulse response functions (IRFs) are crucial for analyzing the dynamic interactions of macroeconomic variables in vector autoregressive (VAR) models.
Daniel Felix Ahelegbey
doaj +1 more source
Graph-Based Search Procedure for Vector Autoregressive Models [PDF]
Vector Autoregressions (VARs) are a class of time series models commonly used in econometrics to study the dynamic effect of exogenous shocks to the economy.
Alessio Moneta, Peter Spirtes
core
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn +5 more
wiley +1 more source
Analyzing the Factors Affecting E-Commerce in Turkey [PDF]
Recently, e-commerce usage has been increasing in the world thanks to the rapid development of science and technology. Also in Turkey, it began to be used by the consumers and firms due to the various advantages.
Filiz Kadı, Canan Peker
doaj
Application of dynamic modelling and model‐based predictive control to enhance a cooling tower
Model predictive control (MPC) applied to improve the operation of cooling towers. Abstract Model predictive control (MPC) differs from traditional feedback control by making predictions within a time horizon, providing better control actions for the process.
Douglas de Almeida Giardini +4 more
wiley +1 more source
Structural Vector Autoregressions with Nonnormal Residuals [PDF]
In structural vector autoregressive (SVAR) models identifying restrictions for shocks and impulse responses are usually derived from economic theory or institutional constraints.
Markku Lanne, Helmut Luetkepohl
core
Nonlinear permuted Granger causality
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source

