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Greening Monetary Policy

Authors: Dirk Schoenmaker; Dirk Schoenmaker; Dirk Schoenmaker;

Greening Monetary Policy

Abstract

While there is increasing interest in decarbonizing or greening monetary policy, central banks are keen to maintain market neutrality. However, there is evidence that the market has a bias towards carbon-intensive companies. The paper develops a method to tilt the European Central Bank’s (ECB) asset and collateral framework towards low-carbon assets. We find that a medium tilting approach reduces carbon emissions in the ECB’s corporate and bank bond portfolio by over 50%. We show that a low carbon allocation can be done without undue interference with the transmission mechanism of monetary policy. Key policy insightsThe ECB’s asset and collateral portfolio for monetary policy operations is overweight in high carbon companies.A medium tilting approach towards low-carbon companies reduces carbon emissions by 55% in the ECB's portfolio.It also reduces the cost of capital for low carbon companies. This is an incentive for high carbon companies to reform and adopt low carbon technologies. The ECB’s asset and collateral portfolio for monetary policy operations is overweight in high carbon companies. A medium tilting approach towards low-carbon companies reduces carbon emissions by 55% in the ECB's portfolio. It also reduces the cost of capital for low carbon companies. This is an incentive for high carbon companies to reform and adopt low carbon technologies.

Country
Netherlands
Keywords

Ecology, Science Policy, decarbonizing, ddc:330, collateral, Inorganic Chemistry, Monetary policy, Sociology, Environmental Sciences not elsewhere classified, RSM F&A, SDG 13 - Climate Action, Medicine, carbon emissions, cost of capital, Biological Sciences not elsewhere classified

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    129
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
129
Top 1%
Top 10%
Top 10%
Green
hybrid