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1. Summary of the impact
Research conducted at LSE has affected local and national economic growth policies, particularly through the development and implementation of improved governmental appraisal and impact evaluation methods. Impact on specific policies and expenditure, and on the use of appraisal and impact evaluation within government, can be demonstrated at supra-national level for the EU and at national and local levels for the UK. The work has been especially influential in the areas of business support, transport investment, and the development of local economic and industrial strategies. Its direct influence on policy design and decision-making has delivered important knock-on impacts on the value for money of public expenditure.
2. Underpinning research
Understanding the determinants of local economic performance provides crucial guidance for investment intended to improve local and national economic growth. LSE researchers have developed ways to strengthen both pre-investment appraisal (e.g. of transport) and post-investment evaluation (e.g. of business support). The work has helped address concerns about appraisal and evaluation processes. Those concerns are outlined in academic work and in EU and UK Government reports, including the 2006 Eddington Transport Study and the National Audit Office (NAO) Review of Evaluation in Government, published in 2013.
Impacts described here are underpinned particularly by research by Professors Stephen Gibbons and Henry Overman. This was carried out at LSE since the mid-2000s with colleagues in the Departments of Geography and Environment and of Economics, and in the Spatial Economics Research Centre (SERC), the Centre for Economic Performance (CEP), and the What Works Centre for Local Economic Growth (WWG). Underpinning work focuses on understanding the causes of spatial disparities and developing and applying: (i) appraisal techniques that better capture the wider economic impacts of investments; and (ii) approaches to impact evaluation that use counterfactual methods to more clearly attribute economic outcomes to a specific policy. Three general contributions are relevant; these are outlined below.
1. Estimates of the extent to which skills, density, and connectivity explain area differences in productivity
Developing effective appraisal and evaluation methodologies for local economic policies requires an understanding of the factors underpinning spatial disparities. Extensive CEP and SERC work - conducted in the mid-to-late 2000s - considered two key factors: 1) agglomeration economies that explain area-level differences in productivity; and 2) differences in the level of individual education and skills across areas. Much of the existing literature focussed on the economic mass of places (e.g. their population or employment size) to explain agglomeration economies. The LSE research, however, emphasises the role of transport costs and connectivity. It also emphasises the ways in which agglomeration economies and education and skills interact - for instance because more educated and higher-skilled workers are attracted to places with good connectivity. Illustrative outputs include [1], which develops methods to decompose variance in wages into the contribution from individual and area-specific effects. Applying those methods to British data demonstrates that as much as 90% of the observed inequality in local area average wages can be explained by “sorting” (i.e. the spatial concentration of more educated and higher-skilled workers).
This insight was particularly important in work to understand the wider economic impacts (WEIs) of transport improvements, much of it initiated following the Eddington Review. Transport is viewed here as facilitating agglomeration economies that mean area productivity tends to increase with density and connectivity. Estimates of the size of these agglomeration benefits, and how they respond to improved transport connections, allow the productivity benefits of proposed transport investments to be quantified. This is discussed in [2], co-authored by Gibbons with Professor Daniel Graham (Imperial College London). The paper discusses the link between transport and agglomeration, calculation of the WEIs that arise via agglomeration, and the importance of controlling for “sorting” when calculating these. It outlines a three-step procedure allowing these findings to inform the appraisal of agglomeration impacts within standard cost-benefit analysis (CBA). These insights were essential to recommendations improving transport appraisal (see Section 4).
2. Ex-post evaluations of the economic impacts of infrastructure and other local economic growth programmes and projects
While ex-ante appraisal helps inform policy decisions before they are made, ex-post evaluation looks at what happens after a policy is implemented and what changed because of it. A broad body of LSE work has developed and applied quantitative impact evaluation methodologies to such ex-post evaluation. This research emphasises the value of secondary data sources and appropriate economic methods in evaluating the causal effect of policies. It particularly argues for the importance of constructing appropriate control groups to properly assess the economic impact of interventions.
An important strand of CEP and SERC work applies these techniques to understand the impact of infrastructure and other local economic growth policies. Relevant examples include work to assess the economic impacts of new roads [3] and an evaluation of the UK Regional Selective Assistance Scheme (RSA) [4]. The RSA evaluation [4] considered whether firms would have maintained or increased employment in the absence of this form of state aid, and thus whether it made a difference. It shows that the additional employment triggered by RSA was most significant for smaller firms. Larger firms, however, appeared to “game” the system by taking investment subsidies that did not substantively change their course of action. Methodological lessons drawn from this strand of the underpinning work are summarised in papers including [5].
3. Improving the theoretical and empirical basis for policy appraisal and evaluation
Gibbons and Overman have worked to bring insights from their research on ex-ante appraisal and ex-post impact evaluation to bear on specific areas of UK local and national economic policy. Relevant publications include [6], developed between 2007 and 2009 with the Department for Transport (DfT), to “translate” the academic work on connectivity and density (e.g. **[3]**) and recommend ways to include these wider effects in transport appraisal. A second report [7] was co-authored with their CEP colleague, Professor Sandra McNally. Commissioned as part of a wider NAO project (undertaken in 2013) on the use of cost-effectiveness evidence in the UK Government, it summarised and made recommendations for improving the use of impact evaluation methods.
Finally, the underpinning research also includes many evidence reviews conducted by the What Works Centre for Local Economic Growth, of which Overman is Director. These summarise lessons from existing ex-post impact evaluations, identify gaps in the evidence and make recommendations for improving future impact evaluations [8].
3. References to the research
[1] Gibbons, S., Overman, H. G., and Pelkonen, P. O. (2014). Area disparities in Britain: understanding the contribution of people versus place through variance decompositions. O xford Bulletin of Economics and Statistics, 76(5), pp. 745-763. DOI: 10.1111/obes.12043.
[2] Graham, D. J. and Gibbons, S. (2019). Quantifying wider economic impacts of agglomeration for transport appraisal: existing evidence and future directions. Economics of Transportation, 19(100121). DOI: 10.1016/j.ecotra.2019.100121.
[3] Gibbons, S., Lyytikäinen, T., Overman, H. G., and Sanchis-Guarner, R. (2019). New road infrastructure: The effects on firms. Journal of Urban Economics, 110, pp. 35-50. DOI: 10.1016/j.jue.2019.01.002.
[4] Criscuolo, C., Martin, R., Overman, H.G., and Van Reenen, J. (2018). Some Causal Effects of an Industrial Policy. American Economic Review, 109(1), pp. 48-85. DOI: 10.1257/aer.20160034.
[5] Gibbons, S., Overman, H. G., and Pattachini, E. (2015). Spatial Methods. In Duranton, G., Henderson, V., and Strange, W. (Eds.) Handbook of Regional and Urban Economics, Volume 5B (pp. 115-168). Elsevier. ISBN: 9780444595317. Chapter DOI: 10.1016/B978-0-444-59517-1.00003-9.
[6] Graham, D.J., Gibbons, S., and Martin, R. (2010). The spatial decay of agglomeration economies: estimates for use in transport appraisal. London School of Economics. Available at: https://personal.lse.ac.uk/gibbons/papers/agglomerationreport.pdf
[7] Gibbons, S., McNally, S., and Overman, H. G. (2013). Review of Government Evaluations: A report for the NAO. LSE Enterprise. Available at: https://www.nao.org.uk/wp-content/uploads/2013/12/LSE-Review-of-selection-of-evaluations-with-appendices1.pdf
[8] Evidence Reviews. What Works Centre for Local Economic Growth. Available at: https://whatworksgrowth.org/policy-reviews/
Evidence of quality: **[1]**- [4] are published in highly-ranked peer-reviewed general interest or field economics journals. [5] is published in the leading reference handbook series for economics. Project work that led to [6] was funded by DfT and [7] by the NAO. The WWG [8] is funded by the ESRC and UK Government departments.
4. Details of the impact
The LSE-led research outlined above has supported better-informed policy design and decision-making in local growth. It has encouraged reduced reliance on anecdotal and case study-based evidence alone, and facilitated policymakers’ greater use, instead, of quantitative data and the findings of econometric analysis and impact evaluations. This has had direct impacts on specific policies and wider influence on the selection and implementation of evaluation and appraisal methodologies guiding public expenditure decisions. These impacts have resulted primarily from the use of the work to: a) improve appraisal and evaluation methodologies supporting more efficient public investment; and b) support better decisions on feasible and proportionate appraisal and evaluation processes. Effects have been felt at supra-national, national, and local levels. Illustrative examples of impacts at each of these levels are provided below, though the effects of the work - particularly at local level - have been much more widespread and diverse than can be captured here.
Supranational impacts
The impact evaluation of the UK Regional Selective Assistance Scheme co-authored by Overman [4] directly influenced changes made by the European Commission Directorate-General for Competition (DG COMP) to regional aid eligibility rules on state aid to large firms [A]. Eligibility rules are structured around a set of ex-ante presumptions on allowable aid - the General Block Exemption Regulations (GBER) - and ex-post evaluation requirements. The impact evaluation [4] (which was first published in 2011) showed that regional subsidies have less of an incentive effect on large firms and that awarding such aid to large enterprises is ineffective and costly. It is cited in a 2014 explanatory note published by the European Commission as key supporting evidence justifying a shift toward promotion of regional investment aid for SMEs. Citing [4], the paper states:
“There is a strong body of evidence suggesting that regional investment aid is more effective and efficient when geared towards SMEs (i.e. it changes the behaviour of the aid beneficiary to undertake an investment that contributes to a common objective).” [B]
This shift was achieved by allowing the GBER on large firms to apply only to “initial investment in favour of new economic activities” [C].
It is not possible to accurately estimate the shift in expenditure to SMEs that has resulted from this new guidance, but the potential redirection of funds is at a large scale. EU Member States’ state aid expenditure is increasing year-on-year; EUR121 billion (representing 0.76% of GDP) was allocated in 2018. The study [4] and advice from the What Works Centre for Local Economic Growth (WWG) have helped inform guidance on ex-post evaluation of both current and future state aid in the EU (see, for example, [ **D]**), as well as UK guidance on the evaluation of structural funds [E].
National impacts
On a national level, research by Gibbons has informed the cost-benefit analysis (CBA) methodology used by the UK Department for Transport (DfT) and Transport Scotland. Specifically, insights published in [6] have input directly to the methods used by transport planners to account for the potential wider economic impacts (WEIs) of transport projects, in ways that support more accurate appraisal. The research published in [2] was developed in close collaboration with DfT specifically for this purpose, and this and other relevant outputs continue to inform future directions in transport appraisal methodology.
This direct impact is manifested most clearly in DfT’s Transport Analysis Guidance (TAG) [F], and in Transport Scotland’s Scottish Transport Appraisal Guidance (STAG) [G]. These cite [6] as providing the key parameters used to translate planned transport improvements into quantifiable productivity benefits. By informing specific aspects of the appraisal methods, [6] contributes to decisions about all publicly-funded transport projects in the UK that meet the threshold for TAG appraisal as part of central government approval. This represents hundreds of billions of pounds’ worth of public investment: the 2018 National Infrastructure and Construction Pipeline alone set out more than GBP400 billion of planned investment. Research by Gibbons and Overman [3] [4] is also informing the development of new approaches to the ex-post evaluation of transport investments [H].
In addition, the LSE research has influenced UK Government advice on evaluation more generally. Impacts here are underpinned particularly by Gibbons and Overman’s reviews of prior evaluations, including that produced for the National Audit Office (published in **[7]**), which made explicit recommendations to government about ways to improve its impact evaluation. As Director of WWG, Overman has overseen a suite of outputs and services that build on the work of early reports such as [7] and focus on improving evaluation methods for a wide range of policies. WWG has, for example, been signposted in guidance from the UK Government to support the creation of Local Industrial Strategies [I].
Local impacts
At local level, WWG has had a significant impact on the evaluation methods and activities of local authorities, including those relating to devolution deals associated with billions of pounds of spending. WWG work with Liverpool City Region Combined Authority (CA) provides an illustrative example.
Impacts in Liverpool include a decision taken by the CA in 2018 not to conduct a complex meta-evaluation of their devolution deal. This decision was taken following a discussion with the WWG, whose work suggested that pursuing the meta-evaluation would yield little insight at high cost [J]. The WWG instead suggested that the CA should identify aspects of the devolution deal for which in-depth evaluation would be a cost-effective and productive endeavour. The principle of focusing evaluation efforts and using counterfactuals (central to WWG evaluation methodology) was informed by meetings between Overman and lead officers from the CA in November 2016. This focus on “meaningful” evaluation has informed interventions, fund allocation, and scheme prioritisation across the CA. The CA continues to draw on the work of the WWG, for example in its Strategic Investment Fund Assurance Framework, which governs the management of devolved, regional, and national funding sources. Here, WWG is cited as a source for best practice on evidence-based approaches to policy and investment [K].
The close involvement of WWG in informing Liverpool CA’s evaluation methodology is not an isolated case. The approach advocated by the UK Government for devolution areas draws directly on the counterfactual principle proposed by Overman at WWG. This is demonstrated in a September 2017 Memo from the Head of Paid Service (who has overall responsibility for the management of the CA). The Memo corroborates the application of WWG advice by central government. It notes the importance of “conducting in-depth evaluation of a small number of initiatives, rather than complex and costly programme-wide evaluations, which can be meaningless in practice”. This approach: “ builds on ‘counterfactual’ principles advocated by Professor Henry Overman from the ‘What Works Centre for Local Economic Growth’ at the LSE” [L]. The Memo further notes that this advice is being “impressed upon” all devolution areas [L].
5. Sources to corroborate the impact
[A] For use of LSE research by DG COMP in setting eligibility rules for state aid to large firms, see presentation given by its Chief Economist at LSE (15 December 2018). See, especially, slides 11 (which cites **[4]**) and 15.
[B] European Commission Competition DG (2019), “ Explanatory note on the paper of the services of DG Competition containing draft regional aid guidelines 2014-2020 ” p. 4, n.2 for reference to [4].
[C] European Commission (2014), “ Guidelines on Regional State Aid”.
[D] European Commission (2014), “ Common methodology for state aid evaluation”. See p. 32, n.32 for reference to [4].
[E] European Regional Development, “ European Regional Development Fund Summative Assessment Guidance – Appendices”, June 2020. See pp. 13-14, 24, and 31 for references to WWG.
[F] Department for Transport (DfT), Transport Analysis Guidance (WebTAG):
Unit A2.1, “ Wider Economic Impacts Appraisal”, May 2019. See Box 7, p. 28.
Unit 2.4, “ Appraisal of Productivity Impacts”, May 2018. See pp.14 and 24.
Unit M5.3, “ Supplementary Economic Modelling”, May 2019. See p.19.
[G] Transport Scotland, “ Scottish Transport Appraisal Guidance (STAG), Section 9: Economy”. See References section for inclusion of [6].
[H] Ipsos Mori (2019), “ Economic Performance Impacts of Road Enhancements”. Report prepared for UK Department for Transport. See p. 28, n.9 for reference to [4], and p. 40, *n.*27 for reference to [3].
[I] BEIS (2019), “ Local Industrial Strategies: Policy Prospectus”. See section on Evaluation for reference to WWG.
[J] Liverpool City Region Combined Authority, “ Devolution Deal Monitoring and Evaluation Framework (submission to BEIS)”, September 2018. See p. 5.
[K] Liverpool City Region Combined Authority, “ Strategic Investment Fund Assurance Framework”, December 2018. See p. 21, “Use of evidence”, for reference to WWG as a key source of best practice in investment, for use by the CA “to shape calls and commissions”.
[L] Liverpool City Region Combined Authority, “ Report of the Interim Head of Paid Service: Monitoring and Evaluating the Devolution Deal”. See para. 4.2 for reference to Overman and the WWG in deciding the approach to be taken to evaluation; and para. 4.42 for the wider application of the WWG approach in all devolution areas.
- Submitting institution
- The London School of Economics and Political Science
- Unit of assessment
- 14 - Geography and Environmental Studies
- Summary impact type
- Environmental
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
LSE’s Grantham Research Institute (GRI) has actively supported the adoption and implementation of the historic Paris Agreement at both national and international levels. GRI research has had particular impacts on:
The creation of an attractive new narrative around sustainable growth and opportunities, which is now driving global climate action.
National climate policy and legislation, including documenting good practice and helping several countries pass climate legislation. This includes a strong impact on climate policy in the UK, the first major economy to legislate a Paris-aligned net-zero emissions target.
Global understanding of the crucial importance of international climate finance. This has informed an increased flow in climate finance by development banks, particularly in infrastructure.
2. Underpinning research
GRI provides a unique environment for interdisciplinary, impact-oriented research intended to shape the global climate debate. GRI research combines disciplinary rigour with a diversity of analytical perspectives, including economics, finance, geography, law, and international development. The impacts described here are underpinned by a wide body of GRI work but draw particularly on the research outlined below.
Reframing climate action in terms of sustainable growth and opportunity
Ongoing GRI research provides a rigorous analytical framework, grounded in welfare economics, for the argument that good climate policy does not entail economic harm. The work is creating a powerful evidence base on sustainable growth; this demonstrates that, by avoiding the negative impacts of climate change and by catalysing clean innovation and investment, climate policies will simultaneously enhance prosperity and growth. The work further shows that climate policies deliver a range of additional societal co-benefits, such as reduced illness and mortality from air pollution. A good example of this strand of GRI research is published in [1].
Understanding national climate policy in support of the Paris Agreement
GRI has assessed the global momentum in national climate action, including by tracking and analysing the emergence of climate legislation. In addition to academic work, a key output is Climate Change Laws of the World (CCLW), an open-access database of detailed information about climate change laws and executive acts in 196 countries, and climate court cases in 35 countries. CCLW receives approximately 5,000 page visits each month. The database is the most comprehensive and prominent of its type anywhere in the world: at the end of 2020, it contained approximately 2,000 climate change laws and approximately 350 court cases.
Using these data, GRI researchers have analysed the conditions for climate policy success in different socio-economic and political contexts. A 2018 study of the UK Climate Change Act 2008, which is considered world-leading, has helped to identify the core elements of an effective climate law [2]. These include: clear long-term targets, rolling short-term targets, agreed duties and statutory timelines, and close scrutiny through an independent body. Parallel case studies of Mexico, South Africa, and Tanzania provide evidence of climate action in different contexts, identifying challenges and ways to advance national policies. A typical example of this strand of GRI research is [3].
Making the case for climate finance and sustainable infrastructure
International commitments to climate finance are a key aspect of the Paris Agreement. GRI work on climate finance has highlighted the importance of infrastructure investment, emphasising that these long-lived investments lock in unsustainable emissions levels and climate vulnerabilities for decades (see, for examples, [4] and **[5]**). The research identifies emerging markets (especially China) as the main drivers in global infrastructure investment, which could reach USD90 trillion between 2015 and 2030. It explores new mechanisms through which multilateral development banks could scale up low-carbon finance, including by helping to leverage private investments (see [1] and **[4]**).
UK climate change policy: developing better evidence and new methods
UK climate policy is a natural focus for GRI, and the Institute conducts extensive research on ways both to reduce emissions (mitigation) and to manage the impacts of climate change (adaptation). Of particular relevance here is GRI research helping to alleviate concern that strong action on mitigation might disadvantage UK industry. Careful statistical analysis demonstrated that climate action in the UK and Europe has so far had no negative impacts on firm profitability, competitiveness and jobs, but has in fact led to increased innovation (see, for example, **[6]**). The policy and legislation work introduced above (see **[4]**) strengthened policy resolve by demonstrating that the UK is not acting alone.
GRI research has contributed to the adaptation debate through the development of a coherent framework for adaptation planning and climate change risk assessment. Since 2010, GRI has advanced practical decision-making heuristics to support adaptation choices. An important facet of this work is its focus on prioritisation: the work identifies circumstances where fast-tracking adaptation is desirable to prevent long-term vulnerability patterns being locked in (e.g. in the context of coastal development) or made greater by delaying adaptation action. Good examples of this work are published in [5] and [7].
3. References to the research
Impacts described here are supported by a wide set of diverse research and policy outputs. The following are illustrative examples of that wider body of work (* = peer-reviewed).
[1] Stern, N. (2015). Why are we waiting? The logic, urgency, and promise of tackling climate change. MIT Press. ISBN: 9780262029186. Google Scholar citations: 277.
**[2] Averchenkova, A., Fankhauser, S., and Finnegan, J. J. (2020). The impact of strategic climate legislation: evidence from expert interviews on the UK Climate Change Act. Climate Policy, 21(2), pp. 1-13. DOI: 10.1080/14693062.2020.1819190. Google Scholar citations: 4.
[3] Averchenkova, A., Fankhauser, S., and Nachmany, M. (Eds.) (2017). Trends in Climate Change Legislation. Edward Elgar Publishing. ISBN: 9781786435774. Google Scholar citations: 24.
[4] Bhattacharya, A., Romani, M., and Stern, N. (2012). Infrastructure for Development: Meeting the Challenge. Grantham Research Institute on Climate Change and the Environment. Available at: https://www.lse.ac.uk/granthaminstitute/publication/infrastructure-for-development-meeting-the-challenge/. Google Scholar citations: 152.
[5] Ranger, N., Millner, A., Dietz, S., Fankhauser, S., Lopez, A., and Ruta, G. (2010). Adaptation in the UK: A Decision Making Process. Grantham Research Institute on Climate Change and the Environment. Available at: https://www.lse.ac.uk/GranthamInstitute/publication/adaptation-in-the-uk-a-decision-making-process/. Google Scholar citations: 142.
**[6] Dechezleprêtre, A. and Sato, M. (2017). The impacts of environmental regulations on competitiveness. Review of Environmental Economics and Policy, 11(2), pp. 183-206. DOI: 10.1093/reep/rex013. Google Scholar citations: 277.
**[7] Adger, W. N., Brown, I., and Surminski, S. (2018). Advances in risk assessment for climate change adaptation policy. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 376(2121). DOI: 10.1098/rsta.2018.0106. Google Scholar citations: 25.
4. Details of the impact
The body of work outlined above has had wide-ranging impacts on the global climate change debate and on the adoption and implementation of the Paris Agreement - the crucial global umbrella agreement for international climate action. Four particularly prominent areas of impact are described here.
Reframing the global narrative around sustainable growth
GRI research (e.g. **[1]**) has substantiated the “sustainable growth” narrative and documented economic opportunities arising from climate action. Professor Nick Stern has used his global leadership roles to communicate this powerful message to maximum effect, for example through the Global Commission on the Economy and Climate. Co-chaired by Stern, the Commission’s first report, Better Growth, Better Climate, was launched at the United Nations (UN) in New York in September 2014, at an event attended by world leaders and by the UN Secretary-General. The report underscored the message of urgency and low-carbon growth promoted by GRI and highlighted additional benefits of action on climate change, as set out in [1].
The evidence base this provides has been instrumental in shifting global understanding of climate action among policymakers in ways that support proactive climate action. It helped set the tone of international discussion ahead of the 2015 UN Climate Change Conference in Paris. According to Christina Figueres, Executive Secretary of the UN Framework Convention on Climate Change at the time of the Paris Agreement:
“[GRI’s] consistently compelling analyses of the economics of climate change have shifted the debate on decarbonisation from burden to opportunity and growth. It is this new understanding that will allow us to effectively address climate change.” [A, p. 3 ].
Stern’s influence on the discussion is further underlined by his inclusion on a list of the 99 global leaders who created the Paris Agreement on the official " Profiles of Paris” website.
The low-carbon growth narrative supported by GRI research is now ubiquitous in high-level policy organisations such as the Organisation for Economic Cooperation and Development (OECD), the World Bank, and the European Commission, many of which use GRI research. Angel Gurria, Secretary-General of the OECD states:
“[GRI] has made a great contribution…to shaping the global debate on climate change and the protection of the environment. The OECD is proud of our fruitful collaboration, which extends not only to research and analysis, but also to advocacy. The Institute has been an indispensable partner in our efforts to disseminate the work of the OECD in this area and communicate the policies needed to leave a better planet to future generations.” [A, p. 4 ]
Impacts on climate policy and legislation around the world
GRI research on national climate policy (e.g. **[3]**), supported by the unique CCLW database, offers powerful tools for legislators and policy stakeholders to learn from international experiences on how to meet the Paris objectives. According to Mary Robinson, President of the Mary Robinson Foundation - Climate Action, the CCLW database has been:
“invaluable to my Foundation in assisting countries to respond to recommendations on climate change as part of the Universal Periodic Review of the Human Rights Council.” [A, p. 3 ]
In his intervention at the Paris summit, then-UK Prime Minister David Cameron quoted GRI’s climate legislation statistics to remind parties that they were already acting on climate change [B]. This reference was intended to underscore the fact that a global agreement based on individual country contributions was entirely possible.
GRI research on international experiences in climate policy formulation (such as **[3]**) is also used by the Inter-Parliamentary Union (IPU), the official UN organisation for parliamentarians. IPU has routinely disseminated co-branded annual updates on climate change legislation to its member parliaments (see **[C]**) and Alina Averchenkova is involved regularly in their events. As Martin Chungong, Secretary-General of the IPU explains:
“These publications constitute a significant knowledge capital for parliaments: they are an important resource that MPs can consult at any time during their legislative work. Parliamentarians are a crucial element of any successful strategy for tackling climate change and are duty-bound to enact and amend laws, approve national budgets and hold governments to account.” [A, p. 9 ]
Averchenkova and the GRI team have provided expert advice to national parliaments and high-level decision-makers in more than 10 countries. One example of the impacts of this comes from New Zealand, where officials drew heavily on GRI research in developing a new, Paris-aligned “net zero” carbon law, which was passed in November 2019. GRI input to the development of this law was supported via regular exchanges (e.g. to review draft reports) between Averchenkova and Professor Sam Fankhauser at the LSE, and the New Zealand Ministry for Climate Change, the Parliamentary Environment Committee, the independent Productivity Commission, and the influential Parliamentary Commissioner for the Environment. The New Zealand law very closely reflects GRI thinking (as expressed, for example, in **[3]**) on issues such as target-setting and the role of independent advisory bodies [D].
Averchenkova is now advising on the development of a Paris-aligned EU-level climate law, a draft of which was published in March 2020. GRI research has been used since 2017 to support a concerted campaign (led by the European Climate Foundation) advocating for such a law. GRI research and expertise - building on [3] - was particularly used to establish the law’s merits and identify the features it should include. This helped decision-makers in the European Commission and key member states - including Belgium, Denmark, Germany, Ireland, Netherlands, Portugal, and Spain - to draft the new law [E].
Promoting climate finance and sustainable infrastructure
GRI research (e.g. [4] and **[5]**) has highlighted the crucial importance of getting long-term infrastructure investments right, since these lock in emissions and vulnerability profiles. In developing countries, where the provision of climate finance is most critical, infrastructure is often financed by multilateral development banks (MDBs). The influence of GRI thinking is evident in references to its research in new guidance on finance for sustainable infrastructure by organisations such as the Asian Infrastructure Investment Bank (AIIB), Inter-American Development Bank (IADB), and New Development Bank (NDB) [F]. The latter alone (which is advised by Stern) has invested nearly USD16 billion in sustainable infrastructure and related projects since 2016. The IADB is implementing the UK Sustainable Infrastructure Programme (SIP), which will accelerate sustainable infrastructure development in Latin American and the Caribbean and catalyse private sector investment for the implementation of the Paris Agreement. The Department for Business Energy and Industrial Strategy (BEIS) cited [4] in the SIP business case [G].
Informing the UK’s response to climate change
GRI research has also influenced climate policy in the UK, including in terms of climate ambition and approach to climate resilience. The UK addresses mitigation through five-year “carbon budgets” (which impose a statutory cap on greenhouse gas emissions) and adaptation via five-yearly risk assessments and national adaptation programmes. GRI research (e.g. [5] and **[7]**) has informed both these processes. The principal mechanisms for this impact have been Fankhauser’s membership (2008-16) of the Committee on Climate Change (CCC; the UK Government’s statutory advisor on climate change) and Stern’s high-level connections as a former Second Permanent Secretary to the Treasury. More broadly, GRI engages regularly with officials in relevant departments - chiefly HM Treasury, BEIS, and the Department for Environment, Food and Rural Affairs - including via responses to parliamentary enquiries.
Through these channels, GRI research has had a tangible impact on UK climate policy before and after Paris. On mitigation, the work has helped to shape: (i) the UK’s statutory carbon targets for 2008-32 (the first five carbon budgets); and (ii) the 2019 adoption of a “net zero” emissions target. Research including [3] and [6] was influential in locating UK action in the international context and assuaging concerns about its effect on competitiveness. The GRI’s influence on the work of the CCC is attested by its Chair, Rt Hon. John Gummer, Lord Deben, who says of the GRI:
“The quality of its work and its intellectual capacity has helped our thinking in some of the most complex areas that we cover. Its name has always been a guarantee of rigour and objectivity.” [A, p. 14 ]
GRI work has also helped define the UK’s methodological approach to adaptation planning and climate change risk assessment [H]. The analytical method used in the 2017 Climate Change Risk Assessment (CCRA2), a key statutory planning document, directly reflects GRI research findings on identifying adaptation priorities ( **[6]**) and the importance of the private sector to climate resilience ( **[7]**). The method is now carried over into CCRA3. Fankhauser and Surminski were directly involved in the planning and execution of CCRA2 and CCRA3. The risk assessments, as shaped by GRI work, will determine the government’s approach to adaptation planning in the UK over the next five years.
5. Sources to corroborate the impact
[A] Statements corroborating impacts of GRI research on global narrative, and on work of the OECD, IPU, and CCC excerpted from “ The Grantham Research Institute at 10: Analysis, engagement, leadership”. See pp. 3-4, p. 9, and p. 14.
[B] For David Cameron’s speech on 30 November 2015, referring to “ 75 countries that already have…climate change legislation”, see transcript provided by Department of Energy & Climate Change, “ PM speech to the COP21 summit in Paris”, published 1 December 2015.
[C] Examples of IPU co-branded policy briefs include the 2015, 2017, and 2018 updates of “Global Trends in Climate Change Legislation”.
[D] NZ Productivity Commission report, “ Low-emissions Economy”, extensively cites GRI work including [1]. Input from Fankhauser is also acknowledged in the Office of the Parliamentary Commissioner for the Environment’s March 2018 report, “ Zero Carbon Act for New Zealand” (see “Acknowledgments” on p. 2). Thank you letters from the NZ Minister for Climate Change and the Chair of the Environmental Committee (Parliament) acknowledge GRI’s input into the legal process.
[E] Letter of appreciation from the European Climate Foundation on GRI’s contribution to the campaign for an EU-wide climate law.
[F] AIIB (2017), “ Energy Sector Strategy: Sustainable Energy for Asia”, p. 18 for reference to [4]; IADB (2018), “ What Is Sustainable Infrastructure? A Framework to Guide Sustainability Across the Project Cycle”, (p. 10); and NDB, “ General Strategy 2017-2021” (p. 9) cite outputs from the wider body of GRI research.
[G] For use of GRI research by BEIS see their business case for SIP Latin America (p. 9).
[H] For use of GRI research by the UK Committee of Climate Change see “ Risk Assessment 2, Technical Report, Chapter 2”, which cites [5] (pp. 4 and 19-20) as well as referencing other research from the broader body of GRI work.
- Submitting institution
- The London School of Economics and Political Science
- Unit of assessment
- 14 - Geography and Environmental Studies
- Summary impact type
- Economic
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Housing affordability presents an urgent problem in many countries, especially for younger households in larger cities. LSE research underpins policy reforms aimed at improving land and housing market efficiency and affordability. It has fed into policy debates and informed public discussions in countries including Australia, New Zealand, and the UK. In the USA, Belgium, and Canada it has directly informed policy reforms, including of the Mortgage Interest Deduction in the USA (2017), the mortgage interest and capital deduction in Flanders (2015) and Brussels (2017), and the Ontario Housing Supply Action Plan (2019). Across these three countries, reforms influenced by the research are relevant to some 137 million households; they directly affect around 54 million home-owning households with mortgages in the USA and Belgium.
2. Underpinning research
LSE research was the first to recognise and rigorously estimate the impact of planning policies on the price, quality, and affordability of property, primarily through the (intentional) constraint that these policies exerted on the supply of land for development. Initial work focusing on the UK was later extended to explore related constraints on the supply of housing elsewhere in the world. Key strands of this body of research are outlined here.
The effects of planning policies on house prices in the UK: early work by Cheshire in 2002 shed new light on the impact of planning land supply restrictions on the price of internal space in houses and external space in gardens. The analysis considered price both in financial terms and in terms of economic welfare, measured as equivalent income together with the value of planning-produced amenities. This allowed an estimate of the net welfare impact of planning policies in different city contexts (see, for example, **[1]**). The work provided the basis for Cheshire’s development of a model to estimate the change in the real price of housing resulting from any given decision on the supply of land, both by region and for England as a whole. Insights generated by this model supported the publication of specific policy recommendations for reform of the planning system, intended to reduce its economic costs while (as far as possible) retaining the value of the amenities it generated (see **[2]**). This work was conducted with Stephen Sheppard (now Williams College; previously visiting Senior Research Fellow, then Research Affiliate in the UoA).
Hilber and Wouter Vermeulen (formerly CPB Netherlands Bureau for Economic Policy Analysis and VU Amsterdam, now SEO Amsterdam Economics) extended this research to provide powerful evidence for the causal role of more restrictive local planning policies in raising local housing costs [3].
The effects of tax incentives on acceptability of development: local tax revenues can provide an important incentive for local authorities (LAs) to permit new residential or commercial development. In joint work on planning policies and the supply of office space, Cheshire and Hilber showed that the move to the Uniform Business Rate in 1989 effectively removed any incentive for LAs to permit commercial development and that, as a result, they became significantly more restrictive [4]. The subsequent reduction in the supply of office space cost businesses more than any feasible Business Rate could ever have done.
The effects of planning policies on UK productivity: Cheshire and Hilber have continued to develop their research on the impacts of planning policies on productivity and commercial space costs. Between 2008 and 2015, ESRC funding supported the continuation of their research in the LSE Spatial Economics Research Centre (SERC) and, since 2015, within the Urban Programme of the LSE Centre for Economic Performance. This ongoing research first explored and quantified the costs of restrictions on the supply of office space in London, comparing these to other major office locations [4]. It was further extended to explore the effects of the Town Centre First (TCF) policy on the supermarket sector, finding a very substantial (32%) loss in Total Factor Productivity stemming directly from the application of TCF [5] [6]. In research published in 2017 [7], Hilber and SERC Research Officer Lyytikäinen also provided strong evidence that the UK Stamp Duty Land Tax (SDLT) significantly reduces short-distance and housing-related moves but not long-distance moves or moves related to jobs. It further aggravates the housing affordability crisis by discouraging downsizing and impeding growing families from expanding housing consumption.
Mortgage Interest Deduction (MID) in the USA: the growing affordability crisis has led to a decline since the early 2000s in owner occupation as a tenure in both the US and the UK. One popular policy response is to boost aspirant homeowners’ purchasing power (demand) by making mortgage interest tax-deductible. A central finding of Cheshire and Hilber’s UK research, however, had been the critical role of the supply side of this equation. Previous US research had already shown that a subsidy to mortgages favoured higher-income homeowners. In work with Tracy Turner (Iowa State University), Hilber explored spatial variation in the unintended effects of the MID on US housing. Exploiting variation in the subsidy (arising from changes in the MID within and across US states over time) and employing a panel fixed effects approach, their study [8] yielded two novel insights. First, the net effect of the policy on individual homeownership turned out to be essentially zero. Second, the impact was shown to vary enormously across space. In locations with flexible land use regulation and responsive housing supply, the MID has little effect on house prices and so has the desired positive effect on homeownership. However, in locations with tight control and unresponsive supply, the MID lowers homeownership. Hilber and Turner therefore concluded that the MID is an ineffective policy to promote homeownership and improve social welfare.
3. References to the research
[1] Cheshire, P. and Sheppard, S. (2002). The welfare economics of land use planning. Journal of Urban Economics, 52(2), pp. 242-269. DOI: 10.1016/S0094-1190(02)00003-7.
[2] Cheshire, P. and Sheppard, S. (2005). The Introduction of Price Signals into Land Use Planning Decision-making: A Proposal. Urban Studies, 42(4), pp. 647-663. DOI: 10.1080/00420980500060210.
[3] Hilber, C. A. L. and Vermeulen, W. (2016). The Impact of Supply Constraints on House Prices in England. Economic Journal, 126(591), pp. 358-405. DOI: 10.1111/ecoj.12213. Previously published as report for the DCLG: Hilber, C. A. L. and Vermeulen, W. (2010). The Impacts of Restricting Housing Supply on House Prices and Affordability. CPB Discussion Paper 219. ISBN: 9781409826248.
[4] Cheshire, P. and Hilber, C. A. L. (2008). Office space supply restrictions in Britain: the political economy of market revenge. Economic Journal, 118(529), F185-F221. DOI: 10.1111/j.1468-0297.2008.02149.x.
[5] Cheshire, P., Hilber, C. A. L., and Kaplanis, I. (2015). Land use regulation and productivity - land matters: evidence from a UK supermarket chain. Journal of Economic Geography, 15(1), pp. 43-73. DOI: 10.1093/jeg/lbu007.
[6] Cheshire, P., Nathan, M. A., and Overman, H.G. (2014). Urban Economics and Urban Policy: Challenging conventional policy wisdom. Edward Elgar. ISBN: 9781781952511.
[7] Hilber, C. A. L. and Lyytikäinen, T. (2017). Transfer taxes and household mobility: Distortion on the housing or labor market? Journal of Urban Economics, 101, pp. 57-73. DOI: 10.1016/j.jue.2017.06.002.
[8] Hilber, C. A. L. and Turner, T. M. (2014). The Mortgage Interest Deduction and its Impact on Homeownership Decisions. Review of Economics and Statistics, 96(4), pp. 618-637. DOI: 10.1162/REST_a_00427.
Evidence of quality: [3], [4], and [8] are published in highly-ranked, peer-reviewed general interest economics journals. Other papers are published in the top journals in their fields. According to Oswald’s (2009) analysis, [1] was one of only 45 “truly world-leading” articles published by British economists during the 2001-08 RAE period.
4. Details of the impact
Insights from the research outlined here have stimulated wide-ranging policy debates amongst both practitioners and policymakers. Aspects of the work have also directly informed specific changes to housing policies in the UK and internationally.
Informing UK housing and planning policy
Catalysing and informing public policy campaigns: UK impacts have been achieved, in part, through meetings with ministers and presentations of the research, including at: the Prime Minister’s Implementation Unit; the Department for Communities and Local Government (now the Ministry of Housing, Communities & Local Government (MHCLG)); Her Majesty’s Treasury (HMT); the National Audit Office; and the Bank of England, as well as for government economists. Cheshire and Hilber have also submitted expert evidence to various Parliamentary Select Committees. They have further maximised engagement with their work by publishing on blogs for non-academic audiences. In a 2014 SERC blog post, “ Building on Greenbelt land: so where?”, Cheshire set out proposals to permit development on Green Belt land near to stations, giving access to London Zone 1 within 45 minutes. The post catalysed the “ London’s Non-Green Belt” campaign, started by Labour MP Siobhain McDonagh in May 2018 with support from the Centre for Cities and others. This generated substantial national media coverage, (re-)igniting public debate about the use of Green Belt land [A]. The proposal to build on such land close to stations was included in the original (2017) draft Housing White Paper. While deleted from the final version, it remains in the policy debate.
Work on the UK Stamp Duty Land Tax (SDLT) published in [7] has also had a significant impact on public and policy debate, and has ultimately led to a reduction in the taxes paid by first-time buyers. Hilber reported the findings of [7] in testimony to an HMT Select Committee in an Inquiry for the 2016 Budget [B]; he also cited it in written evidence to that committee. He reiterated the case for reform in evidence to the House of Lords (HoL) Select Committee on Intergenerational Fairness and Provision (6 November 2018). [7] was subsequently widely referenced as key evidence in favour of reform in a media campaign calling for changes to SDLT following the 2017 Autumn Budget. On 9 August 2017, for example, the top story on the front page of The Telegraph cited [7] as central evidence for its claim “ Stamp duty killing house sales” [C]. The Budget that followed on 22 November 2017 announced that relief from SDLT would be granted to first-time buyers paying up to GBP500,000 in England, Wales, and Northern Ireland. The media campaign citing [7] played a vital role in securing the removal of SDLT for first-time buyers.
Increasing mortgage lending and delivering savings to first-time buyers: in 2018, following the announcement of the SDLT reform, the UK recorded its highest number of first-time buyers (FTBs) in 12 years, with mortgage providers advancing GBP62 billion to enable 370,000 newcomer mortgages to complete. The level of lending in 2018 was 4.9% higher than 2017, implying 18,130 additional FTBs [D]. It is not clear to what extent this increase is attributable to the SDLT reform as opposed, for example, to access to Help to Buy or to wider, macroeconomic factors. However, it seems reasonable to assume that the stamp duty relief contributed to this significant uptick in FTB mortgages. The change in stamp duty offers those FTBs important savings, up to a maximum reform-induced saving of GBP5,000. So, for the 370,000 FTBs recorded in 2018, it might have generated up to GBP1.85 billion in total savings. Given that most buyers outside London will save much less than GBP5,000, and the tax relief may be capitalised into higher prices (partially) offsetting the savings, a more realistic estimate might be an average saving of GBP2,500 per FTB. This would still deliver total FTB savings of GBP925 million in 2018.
Improving assessment of housing and economic needs in the UK: ideas published by Cheshire in another SERC blog post, “ Land Prices: the dog that’s lost its bark” (December 2013), were instrumental in ensuring the reinstatement of the UK’s series on land prices. Estimates of land prices, which are vital if price signals are to be used efficiently to inform planning land allocations, had previously been published by the Valuations Office Agency but were discontinued in 2010. The blog post was accompanied by a letter drafted by Cheshire to the then-Chancellor and Secretary of State of the DCLG, calling for the series to be re-instated. They duly were re-instated as “information” from 2014/15 [E]. The introduction of price signals into decision-making about land allocations, originally suggested in [2], was also discussed by the HoL Select Committee, which concluded that the government should investigate it. The revised National Planning Policy Framework (2019) guidance includes an explicit recommendation to use price signals to inform land allocations in the planning process [F]. An August 2020 White Paper, Planning for the Future, likewise recommended using price signals in land allocations [F]. The same paper echoes Cheshire and Hilber’s recommendations to move to a “rules-based” planning system and replace negotiated developer contributions of “affordable housing” with a levy on the value of new housing.
Cheshire’s contributions to UK housing and planning were acknowledged by his receipt of a CBE in the 2017 New Year’s Honours list for services to economics and housing.
Reform of the USA Mortgage Interest Deduction (MID): the research published in [8] suggested that the MID (like the MICD, see below) is an expensive policy that does not always achieve its goal of increasing homeownership. In 2017, the USA passed the Tax Cuts and Jobs Act. This dramatically reduced the cost of the MID from USD60 billion in 2017 to USD25 billion in 2018. The motivation for this reform was “empirical evidence [that] indicates there is no significant positive effect of the MID on homeownership rates”; [8] is cited as a central piece of the supporting evidence for this [G]. A working paper version of [8] was also prominently quoted during the political debate that led to the reform, in hearings before the US Senate Committee on Finance and the US Senate Budget Committee.
Reform of the Mortgage Interest & Capital Deduction (MICD) in Flanders and Brussels: in 2014, the Belgian Government transferred the MICD from the federal to the regional level, allowing regions to reform it differently. In 2015, the region of Flanders all but abolished its MICD, using [8] as a blueprint: the paper was used extensively in a report commissioned by the Flemish Government to investigate the effectiveness of the MICD and suggest reforms [H]. One of the authors of that report confirms that: “ Hilber’s work provided evidence…which was of vital importance for the policy reforms” [J].
A subsequent independent review of the economic impact of the reform showed that, consistent with predictions in [8], the reduction of the MICD significantly lowered house prices and led to an increase in homeownership attainment [I]. According to the Flemish Government, the reform directly affected some 1.5 million people, a significant share of the region’s taxpayers. Not only have homeowning taxpayers seen their subsidies fade out, the wider populace has also benefitted from increased tax revenue supporting better public services (or lower public debt). By making housing more affordable, the reform has delivered particular benefits for younger buyers. The Federal Government estimated the total MICD subsidy for the whole of Belgium prior to the reforms in the three regions was approximately EUR1.8 billion [J].
In 2017, the Brussels-Capital region passed an even more far-reaching reform, completely eliminating the MICD for new mortgages. In so doing, the regional government was advised by academics from the Katholieke Universiteit Leuven. The consultation report commissioned from them by the Fiscal Authority of Brussels again refers prominently to [8] in justifying the reform [K, Section 1.2.1 ].
Supporting the development of Ontario’s Housing Supply Action Plan: in October 2017, Cheshire and Hilber were contacted by a former student, then working as Associate Director of Research at Canadian think tank, The C. D. Howe Institute. He asked them to comment on a draft report (subsequently published by the Institute in May 2018) which drew extensively on insights from [1], [3], [4], and [6] (see [L] and **[M]**). In particular, the Ontario-specific methodology followed the theoretical and empirical framework described in [3] [L, p.12, n.16 ].
The report provided a basis for new legislation passed by the Ontario Government in June 2019 to tackle the state’s housing crisis. The Ontario Housing Supply Action Plan was the most ambitious set of policies ever passed by a government in Canada to promote the supply of housing. Its development was led by Cheshire and Hilber’s former student in a new role as Director of Policy, Budget and Fiscal Planning for the Ontario Premier. Research published in [1], [3], [4], and [6] guided his diagnosis of the underlying causes of the housing crisis, including calculating the regulatory burden on housing prices in Toronto. It was also instrumental in designing new policies to increase housing supply [M]. A key aim of the new legislation is to stimulate the faster construction of new housing near transit. The reform’s primary focus is on simplifying planning procedures, creating more incentives to build and allowing homeowners to create residential units above garages, in basements, and in laneways. Another focus of the reform is on development charges. The main aim is to better align costs and benefits of development and reduce uncertainty in the development process.
The C. D. Howe Institute is now hoping to provide evidence for the British Columbia Government to devise and implement similar reforms aimed at increasing the supply of housing in Vancouver, where regulatory costs are even higher [M].
5. Sources to corroborate the impact
[A] Examples of national media coverage citing Cheshire’s work as the basis for the the “ London’s Non-Green Green Belt” campaign: Financial Times, 10 April 2018; The Times, 10 September 2018; Daily Telegraph, 8 May 2018; Evening Standard, 15 May 2018; The Times, 10 May 2018; City Monitor, 2 May 2018.
[B] Hilber’s testimony to the HMT Select Committee ( Evidence Session on ‘Housing Market Interventions’) on 13 April 2016. Transcript also provided (Treasury Committee Oral evidence: Budget 2016, HC 929 Wednesday 13 April 2016).
[C] Examples of media use of [7] in calling for changes to SDLT: Daily Telegraph, 8 August 2017; Daily Telegraph, 9 August 2017; Daily Express, 9 August 2017; The Economist, 5 August 2017.
[D] “ Number of first-time buyers in UK hits 12-year high”, Financial Times, 22 February 2019.
[E] For the reinstated UK series on land prices see: Department for Communities and Local Government, “ Land value estimates for policy appraisal”, February 2015.
[F] For recommendation to use price signals to inform land allocations see: 2019 NPPF guidance (notably Step 3 onwards) and August 2020 White Paper, Planning for the Future.
[G] “ Evaluating the anticipated effects of changes to the Mortgage Interest Deduction”. Report of the Council of Economic Advisors, Executive Office of the President of the United States. November 2017. See pp. 1, 5, and 7.
[H] Goeyvaerts, G., Heylen, K. and Vastmans, F. (2014). Onderzoek naar de woonfiscaliteit in Vlaanderen. Deel 3 Effectenmeting. [8] is referenced frequently in Section 3, pp. 39-53.
[I] Damen, S. and Goeyvaerts, G. (2019). Housing market responses to the mortgage interest deduction. KU Leuven, mimeo, March 2019.
[J] Statement from researcher at KU Leuven and author of the consultation paper published by Housing Flanders to justify the reform. See also details on the reform (in Dutch).
[K] Vastmans, F. and Goeyvaerts, G. (2017). Onderzoek naar de woonfiscaliteit in het Brussels Hoofdstedelijk Gewest. Deel 3: Voorstellen & aanbevelingen (in Dutch).
[L] Dachis, B. and Thivierge, V. Through the roof: The high cost of barriers to building new housing in Canadian municipalities. C.D. Howe Institute. Commentary No.513. May 2018.
[M] Statement from Director of Policy, Budget and Fiscal Planning, Office of the Premier of Ontario. See also the new legislation ( Bill 108, More Homes, More Choice Act, 2019) and the Ontario Housing Supply Plan.
- Submitting institution
- The London School of Economics and Political Science
- Unit of assessment
- 14 - Geography and Environmental Studies
- Summary impact type
- Economic
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Research led by Simon Dietz at the LSE’s Grantham Research Institute (GRI) is at the heart of a new global initiative to measure and monitor the progress of big corporations on the transition to a low-carbon economy. The Transition Pathway Initiative (TPI) is a unique partnership between a consortium of 87 big investors with USD23 trillion combined assets under management/advice, a commercial data/index provider (FTSE Russell), an international NGO (Principles for Responsible Investment), and a university (LSE). Investor-led, the aim of TPI is to assess the progress being made by the world’s largest public companies on the transition to a low-carbon economy, supporting efforts by the financial sector to tackle climate change. The methodology and results are available online and completely free to access. TPI data is used by investors worldwide, both in re-allocating their capital and in engaging the companies whose shares they own.
2. Underpinning research
A successful transition to a low-carbon economy requires a huge reallocation of capital from high-carbon to low-carbon assets. For corporations to survive, they must radically reduce their carbon footprints (both from their operations and their value chains) by mid-century. Many big investors, motivated by ethical considerations, want to take a lead in driving the low-carbon transition. Others may be less motivated by ethical concerns but nonetheless concerned with managing their investment risks, avoiding, for instance, holding so-called “stranded” fossil fuel assets once demand for coal, oil, and gas has fallen away. The Transition Pathway Initiative (TPI) responds to demand from investors for data supporting their move towards a low-carbon economy. It provides comprehensive, rigorous, and impartial data assembled by Dietz and GRI colleagues about which high-emitting companies are aligned with pathways leading to global warming at, below, or higher than 2°C.
The origins of TPI at LSE: TPI has its roots in two areas of expertise within LSE’s GRI and its Department of Geography and Environment. The first is in providing public databases and online tools on climate change. Prior to TPI, GRI had established an international reputation for its Climate Change Laws of the World data tool. This searchable database contains detailed information about climate change legislation and executive acts in 196 countries, and climate court cases in 25 countries. Investors saw the potential to mimic this sort of tool in the corporate domain, with the unit of analysis switching to the company, and approached GRI to develop a new methodology and tool to achieve this.
The second area of expertise relevant to the development of TPI at LSE is in research on climate change and sustainable finance, the latter being one of GRI’s six core research foci. Much of the research in this area is conducted in collaboration with the LSE Department of Geography and Environment (see for example **[1]**). Work on TPI is aligned with this strand of the UoA’s strategic agenda.
TPI research approach and methods: the research underpinning TPI is bespoke, with the express purpose of providing structured assessments of the climate actions and performance of large corporations. At the heart of TPI is a research framework developed by Dietz and colleagues in collaboration with FTSE Russell (a subsidiary of London Stock Exchange Group that produces, maintains, licenses, and markets stock market indices). This provides the mechanism by which companies are assessed on: (a) their carbon management practices/disclosures; and (b) their greenhouse gas emissions intensity. Management practices are treated as an input to corporate climate action, while emissions are the ultimate output.
TPI assesses corporate management of carbon emissions by developing a set of indicators (currently totalling 19), each of which tests whether a company has implemented a particular management practice (“Yes/No”). These indicators cover several themes, including disclosure of companies’ emissions, whether companies have set emissions reduction targets, corporate governance of climate change, and how companies engage in political lobbying on climate change.
TPI also quantifies companies’ carbon footprints and benchmarks them against international climate goals, using integrated energy-economy modelling at the sectoral level. This enables us to answer the question: are companies aligned with the goals of limiting global warming to well below 2°C?
Company data originate from a content analysis of all relevant company disclosures, including financial and sustainability reports. A team of analysts applies an assessment protocol to the data, judging what actions each company does and does not take, as well as extracting data necessary to quantify carbon footprints. This is conducted by a research team at GRI, led by Dietz. FTSE Russell provide the underlying data processed by Dietz’s team. All company assessments are subject to extensive quality assurance, including internal peer-review and review of draft assessments by the companies themselves [2]. Each company is assessed annually, with the first batch being released in January 2017.
Summary overview of TPI findings to date: TPI assessments now cover 368 of the world’s highest-emitting companies across 16 sectors. This represents a large share of the emissions of the world’s publicly listed companies. Looking across the database, we find that, while a majority of companies have implemented basic carbon management practices such as introducing a corporate policy on climate change, few have implemented more strategic practices such as undertaking climate scenario planning and using an internal carbon price in capital budgeting [3] [4].
Further analysis indicates that companies separate into a class that hardly undertakes any carbon management practices, and a class that undertakes most. Perhaps surprisingly, most of the corporate emissions targets that do exist are aligned with the Paris Agreement goals of limiting global warming to 2°C or below. The problem is that most companies are yet to set quantified targets. This implies that investors and other stakeholders should focus on persuading companies to set long-term corporate targets, as part of a larger set of carbon management practices. This is an important step if those companies are to align themselves with the Paris Agreement goals and investors, in turn, are to claim that their own investments are contributing to avoiding dangerous climate change.
3. References to the research
[1] Dietz, S., Bowen, A., Dixon, C., and Gradwell, P. (2016). Climate value at risk of global financial assets. Nature Climate Change, 6(7), pp. 676-679. DOI: 10.1038/nclimate2972.
[2] Dietz, S., Jahn, V., Nachmany, M., Noels, J., and Sullivan, R. (2019). Methodology and Indicators Report: Version 3.0. Transition Pathway Initiative. Available at: https://www.transitionpathwayinitiative.org/publications/65.pdf
[3] Dietz, S., Fruitiere, C., Garcia-Manas, C., Irwin, W., Rauis, B., and Sullivan, R. (2018). An assessment of climate action by high-carbon global corporations. Nature Climate Change, 8, 1072-1075. DOI: 10.1038/s41558-018-0343-2.
[4] Dietz, S., Byrne, R., Gardiner, D., Jahn, V., Nachmany, M., Noels, J., and Sullivan, R. (2019). TPI State of Transition Report 2019. Transition Pathway Initiative. Available at: https://www.transitionpathwayinitiative.org/publications/36.pdf
Additional research assistance was provided at LSE by Emma French, Glen Gostlow, Margarita Grabert, Nikolaus Hastreiter, Perry Jackson, Vitality Komar, Emily van der Merwe, Antonio Scheer, Jeremy Sung, and Patricia Yague.
4. Details of the impact
Climate change is one of the defining global risks of the 21st century. To avoid its worst impacts, the global economy needs to make the transition from fossil fuels to renewable energy, from energy-intensive modes of production to energy-efficient ones, and from extensive use of land and unsustainable practices in agriculture to a food system with a smaller carbon footprint. TPI, which is available free-of-charge to investors, provides a powerful new tool supporting this transition.
Improving the quality and availability of investor data
An “orderly transition” (to quote former Governor of the Bank of England, Mark Carney) requires investors to be empowered with information about the climate change positioning of companies they are or may be investing in. TPI aims to achieve this by providing independent, open-access data showing whether or not the world’s largest high-emitting companies are adapting their strategies to align with international climate goals. Whether they come from an ethical or risk-management perspective, its investor supporters use TPI because they have identified the need for an academically robust yet simple and practical tool to inform their investment decisions, shareholder engagement and voting, and to track company progress over time. Although many environmental/social/governance (ESG) data providers and products are available, TPI is distinctive in being open-access, easy to use, and based directly on peer-reviewed academic research. Its advantages were recognised in June 2020 when TPI was named ESG Assessment Tool of the Year at the Sustainable Investment Awards, hosted by Environmental Finance [A].
Changing capital allocation and company behaviour
TPI’s investor supporters now number 87 asset owners and managers with a collective USD23 trillion of assets under management/advice. The very large scale of their combined assets means the investors supporting TPI have the potential to materially affect the allocation of capital between clean and dirty assets, as well as to change the behaviour of the companies they are investing in. Illustrative use case examples are provided here of some of the ways in which TPI is changing capital allocation and company behaviour across a range of sectors. These examples illustrate specific types of impact in specific companies using TPI. The sorts of impacts outlined here are felt at a very significant scale through the much wider use of the tool.
Informing investment decisions
The Länsförsäkringar Alliance is unique in the Swedish banking and insurance market. Its 23 customer-owned regional insurance companies cooperate to offer customised insurance solutions to their combined 3.9 million customers. Asset-owner subsidiaries of the Alliance have combined assets under management of USD32 billion. Länsförsäkringar is an active signatory of the UN-supported Principles of Responsible Investment (PRI) and has a comprehensive screening policy based on global standards including the UN Global Compact, Organisation for Economic Co-operation and Development (OECD) Guidelines for Multinational Enterprises, and UN Guiding Principles on Business and Human Rights. This screening policy excludes its investment in controversial sectors such as weapons, tobacco, and online gambling. Climate-related exclusions screen out selected mining and fossil fuel energy companies which derive more than 5% of revenue from thermal coal or oil sands.
Länsförsäkringar began using TPI data in its investment activity in 2019, particularly to inform its definition of “companies in transition”. This is important because companies deemed to be “in transition” are exempted from these climate-related exclusion policies. A company defined by Länsförsäkringar as “in transition” effectively has a second chance to receive or retain their investment provided their business model is not based on the extraction of fossil fuels. The Responsible Investment team at Länsförsäkringar explains: “ We want to encourage energy producers and utility companies that have started to move away from fossil fuels, and made a commitment to transition” [B, p. 11 ]. TPI assessment tools help Länsförsäkringar decide which companies really have made this commitment and are therefore exempted from its investment exclusions policy:
“We strive towards implementing more sophisticated exclusion policies and we realised that a static exclusion list based on current performance failed to distinguish between companies which are on a journey towards better climate performance and those which are not. Using TPI data allows us to support those companies which are on this journey.” [B, p. 11 ]
Helping investors understand and push for improvements in company behaviour
TPI data is used by the Universities Superannuation Scheme (USS), one of the largest occupational pension schemes in the UK, with some GBP68 billion in assets under management. The scheme is mandated to integrate ESG considerations such as climate risk into their investment processes and to apply them across all asset classes. In 2019, the USS UK Voting Policy was updated to integrate TPI data into voting decisions. This means that the TPI Management Quality scores are now used by the USS to benchmark the quality of climate governance for investee companies across the world. According to the USS’ Head of Responsible Investment, TPI research helps them to identify those companies that are lagging in their management of the climate transition, and to encourage them to improve:
“We encourage portfolio companies with weak performance to enhance their corporate disclosure by responding to TPI’s information requests. And from this year (2020) we have started to vote against or abstain on the resolution to receive the report and accounts where companies have the poorest management quality score, as assessed by the TPI. We also plan to ratchet this up in following years.” [B, p. 13 ]
TPI data therefore helps USS both to understand and push for improvements in its investees’ performance. In turn, this also helps USS to manage the risk that low-performing investees present and thereby to potentially improve financial returns for its members.
TPI is also an official data-provider to the Climate Action 100+ Initiative, launched in December 2017 at the One Planet Summit and targeting the highest emitting companies globally. Signed by more than 450 investors with more than USD39 trillion in assets under management, the Initiative has targeted 160 of the world’s highest-emitting corporations to improve their management of climate change and reduce their carbon footprint. Climate Action 100+ uses TPI data to monitor the progress of the corporations it targets, to engage those corporations on specific management practices and actions they are not taking but should be taking, and to measure whether the initiative itself is making a difference. The first Climate Action 100+ progress report, informed by TPI research, was published in late 2019. It found that 9% of the 161 target companies now have Paris-aligned targets [A].
Informing shareholder voting
TPI data, including the Carbon Performance Indicator and Management Quality Scores, have been used by major shareholders to inform the way they vote on company policies. This has, for example, helped to drive down emissions in the auto industry via the use of TPI by international asset management firm, Robeco. Robeco manages assets of EUR146 billion, with EUR131 billion in ESG-integrated assets. They use TPI data to inform extensive engagement on climate change with the companies of which they are shareholders. In 2019, analysts in Robeco’s Active Ownership team voted at a record 5,926 shareholders meetings and had 229 companies under engagement. Robeco has particularly contributed to the development of the engagement strategy with European automakers under the Institutional Investors Group on Climate Change and Climate Action 100+. TPI data is critical in these engagements. Robeco’s Engagement Specialist explains:
“With so much conflicting information out there, one of the benefits of using TPI assessments is the consistency of data. By tracking the same indicators each year, using the same scenario assumptions, we can see real change over time - or identify where it’s not happening.” [B, p. 5 ]
Robeco’s engagements, in collaboration with other investors under the Climate Action 100+ initiative, have already yielded positive results, with two European carmakers setting time-bound net-zero emissions targets. Robeco is also beginning to use TPI Management Quality scores in its voting policy and in 2020 will begin voting against certain board proposals at companies with a low Management Quality score [B, p. 5 ].
Supporting the development of more new tools to drive the low-carbon transition As well as being an important resource in its own right, TPI is also being used to support the development of additional tools promoting the “orderly transition” to a low-carbon economy. The Church of England Pensions Board, working with FTSE Russell, has used TPI data in its development of a new climate investment index intended to actively drive change. This, the FTSE TPI Climate Transition Index, was launched in January 2020 with an allocation of GBP600 million from the Church of England (CoE) Pensions Board, which manages approximately USD3.7 billion of assets. TPI data is used to make this the first global index to embed forward-looking carbon performance [B, p. 15 ].
The index investment fund is designed specifically to reward those companies with public targets aligned to the Paris Agreement, whilst significantly underweighting or excluding those that do not. In the oil and gas sector, for example, the Index includes Shell and Repsol which, according to the TPI tool, had (at the time of writing) aligned their emission reductions plans with a Paris pathway. ExxonMobil, Chevron, and BP, by contrast, are all excluded, though they would be allowed to join the Index if they subsequently set Paris-aligned targets. A month after the launch of the Index, BP announced that it will strive to join Shell and Repsol by working to reach net zero by 2050.
At its launch, the Archbishop of Canterbury commented that the Index “ demonstrates that it is possible to act, to take leadership and in doing so challenge the market” [C]. It also shows that a third generation of climate indexes, genuinely able to drive climate action, is now possible. The CoE Pensions Board has issued an open invitation for other pension funds to consider this approach. Its own investment portfolio has been significantly improved by its use of the Index, reducing its overall carbon intensity by 49%. The Index methodology has resulted in improvements in its portfolio in relation to climate-relevant metrics, including: an increase of 35% in exposure to green revenues; a reduction of 69% in exposure to fossil fuel reserves; and a reduction of 36% in exposure to operational CO2 [C].
LSE research is essential to TPI. In 2018, TPI won the “Finance for the Future Award” in the category “Driving Change Through Education, Training and Academia”. According to the judges’ citation: “ The Grantham Research Institute is central to the Transition Pathway Initiative, enabling investors to make climate-competent decisions using academically rigorous data via a clearly accessible and open-source tool” [D].
5. Sources to corroborate the impact
[A] Environmental Finance, “ ESG Assessment Tool of the Year: Transition Pathway Initiative (TPI)”, 30 June 2020. Also references use of TPI in the Climate Action 100+ progress report.
[B] Transition Pathway Initiative (2020), “ Case studies from global investors on how TPI data is being used to enhance their investment decision-making”.
[C] Church of England, “ Church of England Pension Board invests £600 million in global new stock index backing the Paris Climate Agreement”, press release, 30 January 2020.
[D] Institute of Chartered Accountants in England and Wales, “ Capital winners in Finance for the Future awards”, November 2018. The Finance for the Future Awards celebrate financial leadership and innovation in business, public, and not-for-profit sectors.