ESG disclosure and labour investment efficiency

IF 1.2 Q3 ECONOMICS
Paulo Pereira da Silva , Isabel Vieira
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引用次数: 0

Abstract

This study examines the impact of environmental, social and governance (ESG) disclosure on firms’ labour investment efficiency. Our results indicate that such impact is positive. ESG disclosure is more effective in curtailing over-hiring and when over-investment in physical capital is high. The uncovered positive association is mainly fuelled by the volume of social and governance disclosure (environmental disclosure barely affects labour investment efficiency), and is more pronounced for firms with a weaker corporate social responsibility performance. The results from the empirical analysis survive a battery of robustness tests, including the use of alternative measures to capture labour investment efficiency, different control variables in regression models, and controlling for endogeneity in ESG disclosure. Our analysis and findings are novel to the literature and contribute to ongoing debates about the impact of ESG disclosure on firms’ performance and about potential benefits and costs of mandatory disclosure.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
37
审稿时长
89 days
期刊介绍: Established in 1947, Research in Economics is one of the oldest general-interest economics journals in the world and the main one among those based in Italy. The purpose of the journal is to select original theoretical and empirical articles that will have high impact on the debate in the social sciences; since 1947, it has published important research contributions on a wide range of topics. A summary of our editorial policy is this: the editors make a preliminary assessment of whether the results of a paper, if correct, are worth publishing. If so one of the associate editors reviews the paper: from the reviewer we expect to learn if the paper is understandable and coherent and - within reasonable bounds - the results are correct. We believe that long lags in publication and multiple demands for revision simply slow scientific progress. Our goal is to provide you a definitive answer within one month of submission. We give the editors one week to judge the overall contribution and if acceptable send your paper to an associate editor. We expect the associate editor to provide a more detailed evaluation within three weeks so that the editors can make a final decision before the month expires. In the (rare) case of a revision we allow four months and in the case of conditional acceptance we allow two months to submit the final version. In both cases we expect a cover letter explaining how you met the requirements. For conditional acceptance the editors will verify that the requirements were met. In the case of revision the original associate editor will do so. If the revision cannot be at least conditionally accepted it is rejected: there is no second revision.
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