Green Monetary Policy to Combat Climate Change

Climate change poses a significant threat to global economic stability, affecting prices, output, currency stability, and growth. Therefore, tackling it should be part of central banks’ core mandates, according to this article published in the Journal of Climate Finance.

The paper proposes that central banks adopt a green monetary policy framework that incorporates emissions reduction targets and increases green credit flows through selective credit controls. The paper’s analysis, using data from Brazil, China, the EU, India, and the US covering 2004-2020, demonstrates how central banks can calibrate a green monetary framework that does not compromise their inflation control functions.

The author, Amit Roy, highlights that climate-induced “fat-tailed shocks may erode central banks’ conventional policy space more often in the future”. Climate change-induced supply shocks, asset price volatility, and increased uncertainty regarding the timing of the transition can further constrain central banks’ ability to manage inflation using traditional monetary tools.

Currently, conventional monetary instruments are not climate-informed, and traditional fiscal tools like carbon taxes have shown limited effectiveness in reducing emissions. Additionally, there is a “green investment gap”, where the demand for green investments outweighs the supply, slowing down efforts to address climate change.

The cornerstone of Roy’s proposed green monetary policy framework is selective green credit controls which create favourable macro-financial conditions for green credit and actively redirect capital towards sustainable projects and away from carbon-intensive ones. This acts as a climate risk management strategy and can send a “clear market signal” supporting businesses prioritising sustainability.

The research employs sophisticated methodologies, including panel vector error correction modelling and impulse response functions, to capture the complex interactions between monetary policy, credit allocation, economic output, inflation and carbon emissions. The use of AMPL, an algebraic modelling software, allows for a systematic and quantitative assessment of the proposed policy, modelling the gradual shift in credit allocation and providing a structured analysis of potential outcomes.

The results show that increasing green credit flows can lead to reduced carbon emissions while maintaining price stability, creating a “potential synergy between environmental sustainability and economic stability.”

This effect is more pronounced in developing economies where a doubling of green credit flow is associated with a 1.7% reduction in emissions, compared to 0.5% in advanced economies. However, “the positive relationship between inflation and green credit flow observed in advanced economies may not hold for developing nations due to various factors such as limited financial resources, different economic structures, and varying policy priorities”.

While the study provides compelling evidence for the effectiveness of green monetary policy, it also acknowledges the challenges in implementation, particularly in terms of data availability.

Roy points to the need for better data on green credit flows and recommends developing comprehensive green investment databases to support future policymaking. This revision aims to maintain the original meaning while improving readability and coherence.