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Mitigating Climate Change at the Firm Level: Mind the Laggards
Using self-reported data on emissions for a global sample of 4,000 large, listed firms, we document large heterogeneity in environmental performance within the same industry and country. Laggards—firms with high emissions relative to the scale of their operations—are larger, operate older physical capital stocks, are less knowledge intensive and productive, and adopt worse management practices. To rationalize these findings, we build a novel general equilibrium heterogeneous-firm model in which firms choose capital vintages and R&D expenditure and hence emissions. The model matches the full empirical distribution of firm-level heterogeneity among other moments. Our counter-factual analysis shows that this heterogeneity matters for assessing the macroeconomic costs of mitigation policies, the channels through which policies act, and their distributional effects. We also quantify the gains from technology transfers to EMDEs.
Limits to Private Climate Change Mitigation
As climate change looms larger, many look to sustainable investing that incorporates environmental, social, and governance (ESG) concerns as part of the way forward. To assess scope for ESG-conscious investing to achieve climate change goals, we explore the link between emissions growth and ESG scores using firm-level data for the largest emitters around the world. Discouragingly, our analysis uncovers at best a weak relationship: firms with better ESG scores do display somewhat slower emissions growth but this link is substantially attenuated and no longer statistically significant if we limit attention to within-country or within-firm variation. Our findings suggest limited scope for sustainable investing strategies conditioned solely on ESG indicators to meaningfully help mitigate climate change and, more broadly, underscore the need to continue to build consensus towards effective economy-wide policies to address climate change.
Tracking Economic and Financial Policies During COVID-19: An Announcement-Level Database
We introduce a new comprehensive announcement-level database tracking the extraordinary fiscal, monetary, prudential, and other policies that countries adopted in response to Covid-19. The database provides detailed information, including sizes where available, for 28 granular policies adopted by 74 countries during 2020. About 5,500 policy measures were announced during this period. Importantly, the database is organized and presented in a format easy for researchers to use in empirical analyses. Announcements were highly correlated across the broad fiscal, monetary, and prudential categories and at more granular levels. Advanced economies (AEs) introduced larger fiscal measures than emerging and developing economies (EMDEs) and relied primarily on large unconventional monetary policies. Bank capital requirements were relaxed widely in both AEs and EMs, while relaxation of provisioning requirements was more common among EMs. Supervisory expectations and reporting requirements were widely relaxed.
India’s Banks: Lending to Productive Firms?
Capital misallocation is widely thought to be an important factor underpinning productivity and income gaps between advanced and emerging economies. This paper studies how well Indian banks allocate capital across firms with varying levels of productivity. The analysis reveals that the link between productivity and bank credit growth is weaker for firms with significant ties to public sector banks, especially in years when public sector banks represent a large share of new credit. Large flows of credit to unproductive firms represent important missed growth opportunities for more productive firms. These results suggest that measures to improve governance of public sector banks, potentially including privatization, would help reduce capital misallocation.
Banks’ Joint Exposure to Market and Run Risk
Recent failures of US banks highlight that large liability withdrawals can damage capital positions—i.e., that liquidity risk and solvency risk interact. A simple risk assessment for banks in a wide group of countries finds sizable exposure to this interaction. This varies significantly across banks—primarily reflecting differences in cash buffers, capitalization, securities holdings and exposure to market risk—and is highly concentrated. Vulnerability is generally greater for banks in AEs due to lower cash buffers, securities holdings and capitalization. Within AEs—unlike in EMs—larger banks are most exposed, due to greater wholesale funding and thinner capital buffers. Estimated aggregate losses are substantial in some countries, reflecting a range of recent shocks.
What Policy Combinations Worked? The Effect of Policy Packages on Bank Lending During COVID-19
This paper analyzes the impact of fiscal, monetary, and prudential policies during the COVID-19 pandemic on bank lending across a broad sample of countries. We combine a comprehensive announcementlevel dataset of policy actions with bank and firm-level information to analyze the effectiveness of different types of policies. We document that different types of policies were introduced together and hence accounting for policy combinations, or packages, is crucial. Lending grew faster at banks in countries that announced packages combining fiscal, monetary, and prudential measures relative to those that relied on some, but not all, policy dimensions. Within packages including all three types of policy measures, banks in countries with more and larger measures saw faster loan growth. The impact was larger among more constrained banks with low equity levels. Large packages combining fiscal, monetary and prudential policies also increased liquidity for bank dependent firms, but did not disproportionately benefit unviable firms.
How Do Changing U.S. Interest Rates Affect Banks in the Gulf Cooperation Council (GCC) Countries?
Given their pegged exchange rate regimes, Gulf Cooperation Council (GCC) countries usually adjust their policy rates to match shifting U.S. monetary policy. This raises the important question of how changes in U.S. monetary policy affect banks in the GCC. We use bank-level panel data, exploiting variation across banks within countries, to isolate the impact of changing U.S. interest rates on GCC banks funding costs, asset rates, and profitability. We find stronger pass-through from U.S. monetary policy to liability rates than to asset rates and bank profitability, largely reflecting funding structures. In addition, we explore the role of shifts in the quantity of bank liabilities as policy rates change and the role of large banks with relatively stable funding costs to explain these findings.
Approaches to Climate Risk Analysis in FSAPs
Climate change presents risks and opportunities for the real economies and financial sectors of the IMF’s global membership. Understanding the risks is key to prepare for a successful transition to a lower carbon global economy. This will unlock the many opportunities for technological progress and structural transformation along the path that financial sectors around the world will need to adapt to and support. This note lays out the IMF staff’s emerging approach to assessing the impact of climate change on banking sector stability risks conducted in the context of the IMF’s Financial Sector Assessment Program (FSAP). The note starts with a primer on climate change risk, both transiti...
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