<ul><li>We first selected numerical indicators of company performance and employment standards and created dimensions of performance for these indicators.</li><li>We then collected data for these dimensions from publicly available sources.</li><li>We cleaned and organised the data to make them comparable and meaningful within and across dimensions.</li><li>We ranked companies according to each dimension.</li><li>We compiled composite rankings by grouping dimensions together.</li></ul><p dir="ltr">This database provides the underpinning research for a Knowledge Exchange (KE) and Impact project focusing on the employment standards of the largest listed South Korean companies within the Environment, Social and Governance (ESG) investment finance framework.</p><p dir="ltr">We developed an original methodology for compiling a database of numerical indicators of employment standards. We call this our “Washing Line Methodology”.</p><p dir="ltr">These data, dimensions, and rankings give us insights into South Korean companies’ relative performance in employment standards within the Social pillar of the ESG investment finance framework.</p><p dir="ltr">Version 1 of the database is now Open Access and Shareable, since there is greater than a one year interval between its completion and the present. The Principle Investigator prefers that you discuss reuse with them; contact at peter.matanle@cantab.net.</p><p dir="ltr">Data may be reused for non-commercial purposes if properly cited. Onward sharing of dimensional and methodological details outside of information publicly disclosed by the project participants is prohibited</p>
Funding
UKRI ESRC HEIF & QR PSF
Nomura International PLC
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