Kick-starting global climate
investments
Uncovering hidden links in climate finance and
exploring dynamic evolution of investment
networks for policy design
Dr Nadia Ameli
Principal Research Fellow
Institute for Sustainable Resources, UCL
2015: All in for a sustainable future
The Paris Agreement
Making financial flows consistent
with a pathway towards low
greenhouse gas emissions and
climate-resilient development
The Addis Ababa Agenda
A global framework to align
financing flows and policies with
economic, social, and
environmental priorities
• Efficient markets: investments will flow when an profit
opportunity in terms of risk/return expectation arises
• Rational and informed agents with standard preferences
Finance mainly assessed in terms of investments needed to
meet the climate targets… because:
Motivation: Limited understanding of climate finance (IPCC)
• Heterogeneity of preferences
• Dynamics of behaviour and learning process
• Relationships and influence in the financial system
From a neoclassical to an evolutionary perspective
Adaptive System
Investment patterns
and strategies evolve
over time
Macro patterns
emerge from
observed micro
investors’ behaviour
and interactions
Complex
Many heterogeneous
investors interacting
simultaneously on
multiple levels
Studying the financial system as Complex Adaptive System
Model the financial system as a complex system
• Understand the structure of the financial system when it comes to low-
carbon investments (e.g. leading investors and architecture of the
system)
• Explore the financial system’s dynamics and evolution to understand
its development, to manage and influence it
• Explore what climate policies and regulations are needed to pool long-
term financial assets to boost the low-carbon transition
Project objectives
Methodology: Network approach
Set of actors
Set of projects Projected
network of
actors
Projected
network of
projects
The Paradise Papers
Too Big to Fail or Too Central to Fail?
Battiston et al. (2012), Scientific Report
The rise of the Medici Family
Padgett and Ansell (1993), American Journal of Sociology
• Behind each complex system there is a network, that
defines the interactions between the components
• The structure and architecture of a system always affect
its dynamics
• Understanding these aspects is vital to monitor/ influence
the way such structures may evolve and to identify points of
intervention in the system
Some reflections on complex systems and networks
Initial results
The Hidden Structure of
Energy Efficiency Finance
Nadia Ameli (UCL)
Sumit Kothari (UCL)
Giacomo Livan (UCL)
Guido Caldarelli (IMT)
The energy efficiency investments worldwide (2000-2017)
Number of Transactions
Source: Bloomberg New Energy Finance
Cross border flows of energy efficiency investments (2000-17)
Source: Bloomberg New Energy Finance
Energy efficiency investment network (2000-2017)
• Leading investors
Utilities
Service companies
• Hub investors
Utilities
Governments
• Investors’
relationships
Utilities & Governments
Evolution, dynamics and investment growth
• Technologies with existing higher investments tend to attract further
investment, but only up to a point
• Then technologies’ fitness explains the further investments
Rich get richer
A technology attracts further
investment as a result of existing
investments
Fit get richer
Each technology has intrinsic
qualities and inherent attractiveness
to investors
Critical points of intervention to spur green finance
• Utilities are the leading investors and preference for smart metering,
smart grids and energy storage projects
Need for actor-specific policies (e.g. regulatory measures ensuring cost
recovery through operational efficiency, setting tariffs reflecting such costs)
Stimulate crowding-in processes with more involvement of the public sector
especially when a clear business model is lacking (e.g. EE buildings)
• Co-investment patterns: public sector acting as hub
Understanding systems’ dynamics (e.g. smart grids: combination of public
spending, regulations support and technology improvement which
increased market confidence in this sector)
• Investments’ growth depends on existing investment and
technologies’ attractiveness
• Develop quantitative tools and empirical
evidence to assess the interplay between
network structure and the dynamical
processes, and final outcomes
• The financial system has the requisite
size (financial assets globally worth roughly
US$300 trillion), dynamism and global reach
to achieve the SDGs
SDGs are a complex, long-term investment challenge
Account for complexity thinking and systemic perspective
Advisory board: Prof Guido Caldarelli, Prof Michael Grubb, Prof Antoine Mandel
Postdoc
econometrics
Postdoc
sociology
Postdoc
computer
science
PhD
complex
systems
Climate
finance
Energy
Policy
Applied energy
economics
Econometric
modelling
A worldwide analysis of low-carbon investments
Get in touch n.ameli@ucl.ac.uk !

Finance and Sustainable Goals

  • 1.
    Kick-starting global climate investments Uncoveringhidden links in climate finance and exploring dynamic evolution of investment networks for policy design Dr Nadia Ameli Principal Research Fellow Institute for Sustainable Resources, UCL
  • 2.
    2015: All infor a sustainable future The Paris Agreement Making financial flows consistent with a pathway towards low greenhouse gas emissions and climate-resilient development The Addis Ababa Agenda A global framework to align financing flows and policies with economic, social, and environmental priorities
  • 3.
    • Efficient markets:investments will flow when an profit opportunity in terms of risk/return expectation arises • Rational and informed agents with standard preferences Finance mainly assessed in terms of investments needed to meet the climate targets… because: Motivation: Limited understanding of climate finance (IPCC)
  • 4.
    • Heterogeneity ofpreferences • Dynamics of behaviour and learning process • Relationships and influence in the financial system From a neoclassical to an evolutionary perspective
  • 5.
    Adaptive System Investment patterns andstrategies evolve over time Macro patterns emerge from observed micro investors’ behaviour and interactions Complex Many heterogeneous investors interacting simultaneously on multiple levels Studying the financial system as Complex Adaptive System
  • 6.
    Model the financialsystem as a complex system • Understand the structure of the financial system when it comes to low- carbon investments (e.g. leading investors and architecture of the system) • Explore the financial system’s dynamics and evolution to understand its development, to manage and influence it • Explore what climate policies and regulations are needed to pool long- term financial assets to boost the low-carbon transition Project objectives
  • 7.
    Methodology: Network approach Setof actors Set of projects Projected network of actors Projected network of projects
  • 8.
  • 9.
    Too Big toFail or Too Central to Fail? Battiston et al. (2012), Scientific Report
  • 10.
    The rise ofthe Medici Family Padgett and Ansell (1993), American Journal of Sociology
  • 11.
    • Behind eachcomplex system there is a network, that defines the interactions between the components • The structure and architecture of a system always affect its dynamics • Understanding these aspects is vital to monitor/ influence the way such structures may evolve and to identify points of intervention in the system Some reflections on complex systems and networks
  • 12.
    Initial results The HiddenStructure of Energy Efficiency Finance Nadia Ameli (UCL) Sumit Kothari (UCL) Giacomo Livan (UCL) Guido Caldarelli (IMT)
  • 13.
    The energy efficiencyinvestments worldwide (2000-2017) Number of Transactions Source: Bloomberg New Energy Finance
  • 14.
    Cross border flowsof energy efficiency investments (2000-17) Source: Bloomberg New Energy Finance
  • 15.
    Energy efficiency investmentnetwork (2000-2017) • Leading investors Utilities Service companies • Hub investors Utilities Governments • Investors’ relationships Utilities & Governments
  • 16.
    Evolution, dynamics andinvestment growth • Technologies with existing higher investments tend to attract further investment, but only up to a point • Then technologies’ fitness explains the further investments Rich get richer A technology attracts further investment as a result of existing investments Fit get richer Each technology has intrinsic qualities and inherent attractiveness to investors
  • 17.
    Critical points ofintervention to spur green finance • Utilities are the leading investors and preference for smart metering, smart grids and energy storage projects Need for actor-specific policies (e.g. regulatory measures ensuring cost recovery through operational efficiency, setting tariffs reflecting such costs) Stimulate crowding-in processes with more involvement of the public sector especially when a clear business model is lacking (e.g. EE buildings) • Co-investment patterns: public sector acting as hub Understanding systems’ dynamics (e.g. smart grids: combination of public spending, regulations support and technology improvement which increased market confidence in this sector) • Investments’ growth depends on existing investment and technologies’ attractiveness
  • 18.
    • Develop quantitativetools and empirical evidence to assess the interplay between network structure and the dynamical processes, and final outcomes • The financial system has the requisite size (financial assets globally worth roughly US$300 trillion), dynamism and global reach to achieve the SDGs SDGs are a complex, long-term investment challenge Account for complexity thinking and systemic perspective
  • 19.
    Advisory board: ProfGuido Caldarelli, Prof Michael Grubb, Prof Antoine Mandel Postdoc econometrics Postdoc sociology Postdoc computer science PhD complex systems Climate finance Energy Policy Applied energy economics Econometric modelling A worldwide analysis of low-carbon investments Get in touch [email protected] !