Results 221 to 230 of about 966,403 (313)
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Mining is one of the foundations of economic development but has historically been associated with severe socioenvironmental impacts, such as ecosystem degradation, displacement of traditional communities, and large‐scale disasters. In this context, corporate social responsibility (CSR) plays a central role as a mechanism for legitimizing ...
Felipe Moura Oliveira +1 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT The circular economy is gaining traction as a transformative approach to address climate change and the shortcomings of the linear economic model, which is defined by unsustainable production and consumption patterns. This study explores the implementation of circularity principles in the Spanish automotive industry, with particular attention ...
Salvador Perez‐Canto +2 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study explores how corporate environmental, social, and governance (ESG) performance affects equity misvaluation and how country‐level factors—national culture, environmental performance indicators, and world governance indicators (WGIs)—moderate the relationship between corporate ESG performance and misvaluation.
Xinyu Wang +4 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This research focuses on the connection between ESG (Environmental, Social, and Governance) factors and financial performance in the fashion industry, grounded on stakeholder theory and signaling theory as its theoretical foundations. By examining 1144 firm‐year observations from 194 publicly listed companies in 24 countries (2013–2023), the ...
Samantha Barresi, Michele Bertoni
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A Social Risk‐Based Approach Supporting Corporate Sustainability Reporting Directive Framework
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Social sustainability is difficult to measure due to its qualitative and context‐specific nature. However, regulatory pressure and stakeholder expectations increasingly require organisations to disclose robust and verifiable information. In this context, the European Corporate Sustainability Reporting Directive (CSRD) sets new sustainability ...
Monica Serreli +2 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT The purpose of this study is to provide evidence of the impact of civil liberties and political rights on corporate innovation, through the lens of institutional theory. Moreover, the research also analyses the moderating role of the CSR committee in the relationships between civil liberties and innovation, and political rights and innovation.
Isabel Gallego‐Álvarez +1 more
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Public Sustainability: Thematic Mapping, Theoretical Approaches and Emerging Lines of Action
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT The paucity of research analysing thematic persistence in public sustainability limits our understanding of how this field of research evolves and reconfigures itself. The present paper addresses this gap through a longitudinal bibliometric analysis of 692 publications processed with SciMAT. The methodology combines co‐word analysis, strategic
Laila Ribii Khalifi +2 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This paper aims to analyze the effect of board tenure on firms' waste management disclosure and explore whether this effect is amplified by board gender and cultural diversity. The analysis is based on data from 832 large firms worldwide from 2011 to 2020.
Isabel‐María García‐Sánchez +3 more
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