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Author(s):

Merve Artman | Central Bank of the Republic of Turkey
Pierre Bui Quang | Banque de France
Nadia Esham | Bank for International Settlements (BIS)
Nur Izzati | Central Bank of Malaysia
Leah Kling | Bank for International Settlements (BIS)
David Nefzi | Banque de France
Romana Peronaci | European Central Bank (ECB)
Christine Schlitzer | Deutsche Bundesbank
Christian Schmieder | Bank for International Settlements (BIS)
Ömer Kayhan Seyhun | Central Bank of the Republic of Turkey
Bruno Tissot | Bank for International Settlements (BIS)
Elena Triebskorn | Deutsche Bundesbank
Huiming Yang | Deutsche Bundesbank

Keywords:

environment , public policy , official statistics , financial stability , international cooperation

JEL Codes:

E44 , E58 , F30 , F64 , Q01 , Q54

All the authors contributed to the IFC report on which is based this policy brief (IFC, 2021). The views in this paper are those of the authors only and do not necessarily reflect those of the BIS nor the IFC and its members.

This policy brief sheds light on sustainable finance data needs, availability and gaps, leveraging on a survey conducted among the members of the Irving Fisher Committee. A first key insight is that environmental, social and governance (ESG) data are in growing demand from central banks to support their policies, particularly micro- and macroprudential supervision, asset and reserve management activities, the conduct of monetary policy and financial inclusion measures, as well as specific in-house risk assessment and statistical work. Second, central banks are making significant contributions to setting up statistical frameworks for sustainable finance; for instance, they have been instrumental in facilitating the development of green taxonomies. Third, being closely associated with other key stakeholders involved in climate-related data work has been an important element to facilitate the agenda. Fourth, and in a somewhat different way than in other areas, there is an abundance of data to be considered, not least with the growing role played by the large number of data providers located outside the traditional perimeter of official statistics. These various insights have helped to define three main recommendations for guiding central banks’ work on sustainable finance statistics.

Introduction

Public authorities in general and central banks in particular are paying more and more attention to sustainable finance, defined as the integration of a wide range of environmental, social and governance (ESG) aspects when making investment decisions (IFC, 2022). This increased interest in sustainable finance reflects mainly widespread concerns about the impact of climate change, but also other factors such as inequality that can undermine economic resilience, as highlighted recently by the Covid-19 pandemic. Likewise, it is also a recognition of the important role that the financial sector can play to foster sustainable development, directly through its own corporate activities and, even more so, indirectly through its financing of external activities.

The brief leverages a survey conducted among the members of the Irving Fisher Committee on Central Bank Statistics (IFC) of the Bank for International Settlements (BIS). The purpose of this survey was to identify ESG data needs, availability and gaps from the perspective of the central banking community. Organised in close coordination with other international statistical initiatives, the findings showed that more than 1,400 ESG indicators are currently used or considered for various policy purposes at the global level (IFC, 2021). The survey also provided detailed information on the use of these indicators, including a geographical breakdown by region and country type (especially between advanced economies (AEs) and emerging market economies (EMEs)), the priority level assigned by the respondents and their degree of use.

This stocktaking exercise led to the establishment of a list of almost 80 ESG metrics considered of particular relevance by central banks when pursuing their policy objectives. The survey was complemented by the identification of core documentation references on ESG data issues by IFC members who ranked the metrics according to their priorities, current use and planning. Despite some variation across countries, the results have pointed to a relative consensus on the metrics to be used in priority. More information on the indicators, including on the specific metrics used by members and their respective policy purposes, can be found in a Excel file and a dashboard available on the IFC website. The site provides a data visualisation tool for the compiled indicators and their main characteristics.

A central banking perspective on sustainable finance data needs, availability and gaps

A first main message from the IFC survey is that statistics on sustainable finance are in growing demand from central banks in pursuing their core mandates, with a key interest put on financial stability issues (Graph 1). One important aspect relates to the assessment of both the physical and transitional risks faced by the financial system and the macroeconomy at large. That is, the risks related, respectively, to the impact of climate change on the economy (eg environment hazards) and to the transition from a fossil energy-reliant to a low-carbon economy (BCBS, 2021).

The primary focus reported by central banks is on green finance, as a means to limit carbon emissions and address climate change risks: a large number of IFC members are already facilitating stakeholders’ awareness of the risks associated with climate change. Developing “green” capital markets and identifying adequate sustainable investment are additional policy objectives pursued in this context.

As a consequence, central banks have become crucial consumers of relevant sustainable finance data to support the broad range of their activities, especially in AEs (Graph 2). Main purposes cover financial stability analyses (including in support of macroprudential policy as well as microprudential supervision for those central banks that are directly in charge), asset and reserve management activities, the conduct of monetary policy (including collateral policies) and financial inclusion measures, as well as specific in-house risk assessment and statistical exercises pursued in the context of these policies.

Graph 1: Central banks’ key interest in sustainable finance relates to financial stability

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Note: AE: Advanced Economies; EME: Emerging Market Economies. Source: IFC (2021).

Graph 2: Use of sustainable finance data by central banks 

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Source: IFC (2021). 

A second insight is the abundance of data to be contemplated in the area of sustainable finance (Graph 3). Environmental and general sustainability aspects are seen as the most important elements, with a key focus on the indicators needed to properly support progress assessment, in particular on sustainable financial instruments as well as indicators related to physical risk, emission trading and energy use pricing. However, as many indicators are backward-looking, it is appropriate to complement them with forward-looking data to track commitments towards a greener economy. Leading indicators considered useful by central banks in this context are climate target indicators, followed by indicators on firms’ scenario analyses and on transformation and enabling efforts. Yet, while these forward-looking metrics have become a new area of focus, and many jurisdictions plan to use them, actual implementation work is often still lagging in practice.

Graph 3: Environmental aspects are considered the most important 

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Source: IFC (2021). 

A third lesson is that central banks are also making significant contributions to setting up statistical frameworks for sustainable finance; for instance, they have been instrumental in facilitating the development of green taxonomies, especially in Europe (Graph 4). They are also closely associated with other key stakeholders involved in climate-related data work, including government authorities (in the areas of eg environment, finance and economic affairs), regulatory institutions and national statistical offices (NSOs). The primary focus reported in the IFC survey was on establishing statistical definitions, developing related taxonomies and conceptual work, setting up reporting requirements, and dealing with data quality aspects and confidentiality issues (including those related to the impact of technology innovation).

Graph 4: Central banks’ progress in establishing definitions and taxonomies for sustainable finance 

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Notes: AP: Asia Pacific; AM: Americas; EU: Europe; MEA: Middle East and Africa. Source: IFC (2021). 

However, while the availability of green finance data is increasing in general, there are substantial differences across jurisdictions. In particular, a large number of central banks in AEs (essentially in Europe) report that they already have in place standardised definitions and taxonomies (or are close to implementation), while such work is still at an early stage in many other jurisdictions, especially in EMEs. This disparity reflects a number of factors, including the diversity of central banks’ mandates as well as different implementation stages in terms of taxonomies, conceptual work, reporting requirements, and data quality/confidentiality management processes.

Unlike for environmental indicators, the use of social and governance indicators remains fairly limited, although central banks are gradually showing more interest in these areas, too. The social indicators that are deemed the most relevant relate to financial inclusion as well as working conditions and human rights. As to governance indicators, transparency and disclosure on the one hand and board diversity on the other are considered to be top priority, mainly to support macroprudential supervision.

All in all, the survey results underline the growing recognition of the important role played by the large number of ESG data providers located outside the traditional perimeter of official statistics (such as commercial data providers as well as big data-based sources). Hence, a key objective for central banks is to improve cooperation among the various stakeholders involved in sustainable finance data work. Another goal is to support ongoing international statistical initiatives that aim at promoting a shared understanding of statistical needs (also by developing more unified taxonomies and regulations), developing conceptual aspects (eg how to assess financial stability risks arising from climate change) and addressing the related operational aspects of data management (eg data quality assurance processes, reporting requirements, and dealing with confidentiality/privacy issues).

How to organise central banks’ work on sustainable finance?

The findings of the survey briefly summarised above have been instrumental to identify three main recommendations that would usefully guide central banks’ work on sustainable finance statistics.

The first recommendation is to intensify the identification of data needed by central banks to support their policy objectives. This requires proper statistical definitions and taxonomies to be established as a key first step (OECD, 2021). In Europe, for example, a common taxonomy has become an important benchmark against which to measure environmental issues. Intensifying this “methodology” work calls for leveraging on the ongoing international initiatives undertaken to develop overarching conceptual frameworks. The central banking community is already playing a leading role in such initiatives – especially those led by the Financial Stability Board (FSB, 2021a,b), the Network for Greening the Financial System (NGFS, 2021), the Group of Twenty (G20) – including through the foreseen new Data Gaps Initiative (DGI) to address data issues that relate to various topics such as climate change, human wellbeing and inequalities, financial inclusion and data access (FSB Secretariat and IMF Staff, 2022). The various financial standard-setting bodies (SSBs) hosted by the BIS, including the Basel Committee on Banking Supervision (BCBS) and the Committee on Payments and Market Infrastructures (CPMI), are also actively involved. In addition, making further progress puts a premium on developing strong in-house research and analytical capabilities on sustainable finance in central banks. Lastly, it is essential to enhance the underlying statistical infrastructure to support related data collections; one important aspect from this perspective is to define clear data standards for supervised institutions and to establish sound reporting processes.

A second key recommendation is to enhance cooperation among the many traditional and new stakeholders that can be involved to close sustainable finance data gaps – ie central banks and financial supervisors, NSOs, government agencies, international organisations, commercial vendors as well as new providers of alternative data sources. Greater cooperation among them should cover pure statistical tasks but also more conceptual work as well as operational aspects. It would ideally be complemented by arrangements to facilitate data access and sharing, at least to support the exchange of data with a sufficient level of disaggregation (IFC, 2019). Specific attention should be paid to micro-level sustainable finance statistics in this context. Many macro indicators already exist in official sources, even though they may be available only for specific purposes and may eventually have to be enhanced in scope, timeliness and coverage to meet emerging data needs. In contrast, micro data are subject to important limitations, as they are often provided by third-party data providers and are thus not easily accessible to authorities or the public. A potential way of enhancing the disclosure of such information is to capitalise on the ongoing international initiatives (including the DGI) to develop the use of granular identifiers and data standards and also to facilitate access to alternative data sources. Another focus would be to develop innovative approaches to collect information based on appropriate IT systems and data science techniques (eg artificial intelligence, machine learning, web-scraping), not least by leveraging on the new initiatives undertaken by official statisticians after the Covid-19 pandemic (Rosolia et al, 2021).

A third main recommendation is to lead by example by improving the usage of sustainable finance data. One reason is that collecting data is not enough and should be complemented by efforts to make good use of them for policy purposes, ideally by covering the large spectrum of central banks’ policy tasks (Caruana, 2017). This policy support should be accompanied by greater dissemination to the general public, recognising the large and various community of stakeholders interested in sustainable finance statistics. The vigorous and innovative dissemination efforts conducted by central banks, especially through the use of “business intelligence” tools, has already greatly improved access to existing data. At the international level, the IMF has established a global dashboard on climate change indicators, while the NGFS is working towards a data repository for climate data. The IFC survey suggests that these efforts should be pursued actively. In addition, and as outlined above, particular attention should be paid to facilitate access to micro-level sustainable finance data and promote their dissemination. Central banks have for now been leading various initiatives to improve the usage of (private) vendor data, including by addressing the related quality and confidentiality issues. Lastly, they have also been leading by example in reporting on their own green footprint.

Selected references

Basel Committee on Banking Supervision (BCBS) (2021): “Climate-related risk drivers and their transmission channels”, April.

Caruana, J (2017): “International financial crises: new understandings, new data”, Speech at the National Bank of Belgium, Brussels, February.

Financial Stability Board (FSB) (2021a): “FSB roadmap for addressing climate-related financial risks”, July.

——— (2021b): “The availability of data with which to monitor and assess climate-related risks to financial stability”, July.

Financial Stability Board (FSB) Secretariat and International Monetary Fund (IMF) Staff (2022): “G20 Data Gaps Initiative (DGI-2) – Progress Achieved, Lessons Learned, and the Way Forward”, June.

Irving Fisher Committee on Central Bank Statistics (2019): “INEXDA – the Granular Data Network”, IFC Working Papers, no 18, October.

——— (2021): “Sustainable finance data for Central Banks”, IFC Report, no 14.

——— (2022): “Statistics for Sustainable Finance”, IFC Bulletin, no 56.

Network for Greening the Financial System (NGFS) (2021): “Progress report on bridging data gaps“, Technical Report, May.

Organisation for Economic Co-operation and Development (OECD) (2021): “Developing Sustainable Finance Definitions and Taxonomies”, October.

Rosolia, A, S Stapel-Weber and B Tissot (2021): “New developments in central bank statistics around the world”, Statistical Journal of the IAOS, vol. 37, no. 4, pp. 1055-1060.

About the authors

Merve Artman

Merve Artman is Deputy Executive Director at Data Governance and Statistics Department of Central Bank of Turkey. She is responsible for Central Balance Sheet Office, in-house credit risk assessment system and early warning system for non-financial companies. She has a bachelor’s degree in economics from Middle East Technical University in Turkey and MBA in corporate finance degree from Boston College, USA. She is Central Bank of Turkey representative of the European Committee of Central Balance Sheet Data Offices (ECCBSO) and IFC and Chair of the Financial Statement Analysis Working Group of ECCBSO. The scope of the Financial Statement Analysis Working Group is common microeconomic research on specific topics of the economic and financial situation of non-financial entities in an international setting.

Pierre Bui Quang

Pierre Bui Quang joined the Banque de France in 2014. He worked as a statistician in securities statistics and external statistics. He is now deputy-head of the non-banking financial statistics unit, responsible of investment funds, insurance, and securitization statistics.

Nadia Esham

Nadia Esham is a Quantitative Supervision Analyst in the Monetary and Economics Department at the BIS. Before joining the BIS, Nadia worked in the African Department at the IMF and prior to that, as a Research Associate at Harvard Business School. Nadia holds a BSc in Political Economy from King’s College London and an MA in International Economics and Southeast Asian studies from Johns Hopkins University with a specialisation in Quantitative Methods and Economic Theory.

Nur Izzati

Nur Izzati is an Analyst in the Data Management and Statistics Department at Central Bank of Malaysia. Her work involves improving data management and compliance as well as delivering statistical information to internal and external stakeholders. She has been working with the Central Bank of Malaysia since 2008.

Leah Kling

Leah Kling is an Associate in the Graduate Programme in the Monetary and Economics Department, Quantitative Impact Study Support, at the BIS. She holds an MA in economics from the University of Toronto. Her main interests are financial stability, monetary policy, digital currency, and complexity economics.

David Nefzi

David Nefzi joined in 2021 the Monetary and Financial Statistics Department of the Banque de France as an economist-statistician. His research activities focus on sustainable finance and climate-related financial risks. He holds a master’s degree in political science and a master’s degree in applied economics.

Romana Peronaci

Romana Peronaci is the Head of Economic Statistics Section in the Directorate General Statistics at the European Central Bank (ECB). She has been working at the ECB since 1998 in various areas of statistics and with different roles as well as secretary of the ESCB Statistics Committee. Her current responsibilities are on climate change related statistics and on surveys on consumer expectations, access to finance of enterprises, households finance, wealth and consumption.

Christine Schlitzer

Christine Schlitzer is part of the Sustainable Finance Data Hub at Deutsche Bundesbank’s Statistics Department since 2021. Before, she worked on real estate statistics in the Deutsche Bundesbank’s General Economic Statistics Division. Christine holds a diploma degree in Economics from LMU Munich.

Christian Schmieder

Christian Schmieder joined the BIS Monetary and Economic Department in March 2020 after working on the implementation and effects of financial regulatory reforms in the secretariats of the FSB and the BCBS since 2012. Prior to that, he worked as an Economist at the IMF, the European Investment Bank, the Deutsche Bundesbank and in the private sector. He holds a PhD in business administration and has published a range of studies on banking, financial stability issues and sustainable finance.

Ömer Kayhan Seyhun

Ömer Kayhan Seyhun is a senior specialist in the Data Governance and Statistics Department at the Central Bank of the Republic of Turkey. He is specialized in credit rating, credit reporting systems and methodologies while an active member of World Bank International Committee on Credit Reporting (ICCR). He holds an MA in International Economics and Finance from Brandeis University and  an MS in economics from Hacettepe University.

Bruno Tissot

Bruno Tissot is the Head of Statistics and Research Support at the BIS and Head of the Secretariat of the IFC. He has been working at the BIS since 2001, as Senior Economist and Secretary to the Markets Committee of Central Banks and then as the Adviser to the General Manager and Secretary to the BIS Executive Committee. Between 1994 and 2001 he worked for the French Ministry of Finance. He is a graduate from École Polytechnique (Paris) and of the French Statistical Office INSEE.

Elena Triebskorn

Elena Triebskorn is the Head of the Sustainable Finance Data Hub at Deutsche Bundesbank’s Statistics Division. She is one of the team leads in the NGFS Workstream on Bridging Data Gaps and a member of the IFC Sustainable Finance Working Group. Before joining the Sustainable Finance Data Hub, she was a Deputy Head of Section in the General Economic Statistics Division, working mainly on consumer and real estate price statistics. Elena holds a Masters degree in Economics from the University of Notre Dame.

Huiming Yang

Huiming Yang was an Associate in the Monetary and Economic Department, at the BIS. She holds a MSc in Financial Engineering from National University of Singapore. Her main research areas are macroeconomics policy, sustainable finance and structured products.

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