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Item response models to measure corporate social responsibility

机译:衡量企业社会责任的项目响应模型

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摘要

Corporate social responsibility (CSR) is a multidimensional concept that involves several aspects, ranging from environment to social and governance. Companies aiming to comply with CSR standards have to face challenges that vary from one aspect to the other and from one industry to the other. Latent variable models may be usefully employed to provide a unidimensional measure of the grade of compliance of a firm with CSR standards, which is both understandable and theoretically solid. A methodology based on item response theory has been implemented on the multidimensional sustainability rating as expressed by KLD data-set from 1991 to 2007. Results suggest that companies in the oil and gas industry together with firms in industrials, basic materials and telecommunications have a higher difficulty to meet the CSR standards. Criteria based on human rights, environment, community and product quality have a large capacity to select the best performing firms, as they are very discriminant, while governance does not exhibit similar behaviour. A stock selection based on the ranking of the firms according to the proposed CSR measure supports the hypothesis of a positive relationship between CSR and financial performance.
机译:企业社会责任(CSR)是一个多维概念,涉及从环境到社会和治理的多个方面。旨在遵守CSR标准的公司必须面对的挑战从一个方面到另一个方面以及从一个行业到另一个行业都各不相同。潜在变量模型可用于提供企业对CSR标准的依从程度的一维度量,这既可以理解又可以从理论上确定。 1991年至2007年KLD数据集所表达的多维可持续性评级已实施了基于项目响应理论的方法。结果表明,石油和天然气行业的公司以及工业,基础材料和电信行业的公司难以达到企业社会责任标准。基于人权,环境,社区和产品质量的标准具有很大的能力来选择表现最佳的公司,因为它们非常有区别,而治理却没有表现出类似的行为。根据拟议的企业社会责任衡量标准根据公司排名对股票进行选择支持了企业社会责任与财务绩效之间存在正相关关系的假设。

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