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        <parTitl xml:lang="en">Going beyond carbon: An "Earth System Impact" score to better capture corporate and investment impacts on the Earth system</parTitl>
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        <parTitl xml:lang="en">Going beyond carbon: An "Earth System Impact" score to better capture corporate and investment impacts on the Earth system</parTitl>
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        <AuthEnty xml:lang="en" affiliation="Stockholm Resilience Center, Stockholms universitet, and Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences">Crona, Beatrice</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Stockholm Resilience Center, Stockholms universitet and Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences">Parlato, Giorgio</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Stockholm Resilience Center, Stockholm universitet, and Fenner School of Environment and Society">Lade, Steven</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Stockholm Resilience Center, Stockholm universitet">Fetzer, Ingo</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Vienna University of Economics and Business (WU)">Maus, Victor</AuthEnty>
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      <abstract xml:lang="en" contentType="abstract">This dataset is associated with a paper that uses the mining sector as a case to illustrate how the Earth System Impact (ESI) score could be used to assess impacts of economic sectors, and how this, in turn, could i) represent a scientific basis for improving prioritization of mitigative action within companies, ii) provide support for decisions on where to direct public and private investments. This dataset includes data on environmental pressures, location, revenues, and primary commodity production for assets from a sample of 10 mining companies and showcases how the ESI score could be calculated and interpreted.

This dataset is associated with a paper that uses the mining sector as a case to illustrate how the Earth System Impact (ESI) score could be used to assess impacts of economic sectors, and how this, in turn, could i) represent a scientific basis for improving prioritization of mitigative action within companies, ii) provide support for decisions on where to direct public and private investments. This dataset includes data on environmental pressures, location, revenues, and primary commodity production for assets from a sample of 10 mining companies and showcases how the ESI score could be calculated and interpreted.

Microsoft® Excel® for Microsoft 365 MSO, Version 2304 Build 16.0.16327.20200</abstract>
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