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SORABH TOMAR 《Journal of Accounting Research》2023,61(2):451-492
I examine the effects of the U.S. Greenhouse Gas (GHG) Reporting Program, which requires thousands of industrial facilities to measure and report their GHG emissions. I show that facilities reduce their GHG emissions by 7.9% following the disclosure of emissions data. The evidence indicates that benchmarking—whereby facilities use the disclosures of their peers to assess their own relative GHG performance—spurs emission reductions. Firms' concerns about future legislation appear to motivate this behavior and measurement alone (without disclosure) seems not to reduce emissions. My study highlights how mandatory GHG disclosure can create real effects for peers. 相似文献
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JUNG HO CHOI JOSEPH PACELLI KRISTINA M. RENNEKAMP SORABH TOMAR 《Journal of Accounting Research》2023,61(3):695-735
We examine how information about the diversity of a potential employer's workforce affects individuals’ job-seeking behavior. We embed a field experiment in job recommendation emails from a leading career advice agency in the United States. The experimental treatment involves highlighting a diversity metric to jobseekers. Our results indicate that disclosing diversity scores in job postings leads jobseekers to click on firms with higher diversity scores, with such effects varying across jobseeker demographics. A follow-up survey provides evidence on potential explanations for why jobseekers value diversity information. We then examine how jobseekers’ preferences for diversity relate to disclosure choices under the U.S. SEC Human Capital Disclosure requirement. We find that firms in industries characterized by higher jobseeker responsiveness to diversity information tend to voluntarily disclose diversity metrics in their 10-Ks under these new disclosure requirements. 相似文献
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