Results 201 to 210 of about 70,603 (301)

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Ecological co-burden patterns of GERD and asthma: a multi-method analysis of representative global regions. [PDF]

Front Nutr
Deng Y, Xie Z, You L, Wang J, Wu M.
europepmc   +1 more source

A Study of High‐Emission Industries: How Policy, Strategy, and Technology Shape Corporate Social Responsibility Toward Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The extant carbon neutrality (CN) literature largely offers macro‐ or meso‐level analyses, providing limited insights into implementation experiences that could inform granular policymaking and industry strategies. To address this gap, we examine the lived CN experiences of firms in the transportation, energy, manufacturing, and construction ...
Adeel Luqman, Shalini Talwar, Hawazen Almugren, Attila Kurucz, Enrico Battisti   +4 more
wiley   +1 more source

Divergent decoupling pathways for economic growth and NO₂ emissions in China revealed by satellite observations. [PDF]

iScience
Gu J, Chai Z, Deng R, Zhang Y, Li M, Chen L.   +5 more
europepmc   +1 more source

Modelling Sustainability Performance in Manufacturing Companies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Nowadays, organisations need to operate with economic, social and environmental goals in mind. Indices objectively quantify such goals; hence, an organisation can develop and compare policies based on future index values. We propose a system dynamics‐based model of a manufacturing company that frames its operations in terms of a set of easily ...
Harol Andrey Avila‐Choconta, Liliana Ruiz‐Acosta, David Andrés Camargo‐Mayorga, Mario Andrés Muñoz   +3 more
wiley   +1 more source

Cause-and-effect relationships in a nonlinear model of Bitcoin's energy use and price volatility effect. [PDF]

PLoS One
Zournatzidou G.
europepmc   +1 more source

Artificial Intelligence as a Catalyst for Environmental and Social Sustainability Practices in SMEs: The Moderating Role of Sustainability, Digitalization, and Innovation Barriers

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between artificial intelligence and both environmental and social sustainability practices in small and medium‐sized enterprises, with a specific focus on the moderating effects of implementation barriers relating to sustainability, digitalization, and innovation.
Gülçinay Mumcu, Steven A. Brieger
wiley   +1 more source

Both energy transition and external financial support are vital in stimulating global biodiversity conservation. [PDF]

iScience
Wang H, Yan Y, Hu S, Feng Y.
europepmc   +1 more source

Sustainability Disclosure and External Assurance of Reports in the Italian Agrifood Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The European Union introduced the Corporate Sustainability Reporting Directive (CSRD) with the aim of aligning the “walk”—the implementation of substantive sustainability practices—and the “talk”—their representation in sustainability reporting.
Andrea Caccialanza, Mirta Casati, Marco Angelo Marinoni   +2 more
wiley   +1 more source

Social Accounting for Work‐Related Injuries: Towards a Sustainable Management of Social Externalities

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The present study seeks to advance the understanding of the determinants of occupational injuries, thereby enhancing both academic knowledge and decision‐making in the management and implementation of occupational health and safety measures.
Rosa María Cañaveras Perea, Ángel Tejada Ponce, María Pilar Sánchez González   +2 more
wiley   +1 more source