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Record W4306754784 · doi:10.1596/1813-9450-10181

The Role of Green Financial Sector Initiatives in the Low-Carbon Transition: A Theory of Change

2022· book· en· W4306754784 on OpenAlex
Irene Monasterolo, Antoine Mandel, Stefano Battiston, Andrea Mazzocchetti, Klaus Oppermann, Jonathan Coony, Stephen Stretton, Fiona Stewart, Nepomuk Dunz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Bank, Washington, DC eBooks · 2022
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicSustainable Finance and Green Bonds
Canadian institutionsImpact
Fundersnot available
KeywordsTransition (genetics)BusinessFinancial sectorFinancial systemEconomicsEconomic systemFinanceChemistry

Abstract

fetched live from OpenAlex

Green financial sector initiatives, including financial policies, regulations, and instruments, could play an important role in the low-carbon transition by supporting countries in the implementation of economic policies aimed to decarbonize their economy. Thus, it is fundamental to understand the conditions under which and the extent to which green financial sector initiatives could enable the scaling up of green investments and the achievement of national climate mitigation objectives, while, at the same time, avoiding unintended effects on macroeconomic and financial stability. However, this understanding is currently limited, in particular in the context of emerging markets and developing economies. This paper contributes to filling this knowledge gap by analyzing opportunities and challenges associated with the implementation of green financial sector initiatives. It also considers the specificities
\nof green financial sector initiatives in emerging markets and developing economies, which are often characterized by budget constraints, debt sustainability concerns, and limited access to finance. The analysis focuses on green macroprudential policies, green monetary policies, and green public co-funding. For each green financial sector initiative, the paper qualitatively investigates the transmission channels through which it affects the availability and cost of capital for high- and low-carbon goods, but also investments, output, and greenhouse gas emissions,
\nconsidering the design and implementation of the green financial sector initiative. For each green financial sector initiative, the paper further identifies its entry point in the economy and its direct and indirect impacts. Building on these insights, the paper develops a theory of change about the role of green financial sector initiatives in climate mitigation and in the low-carbon transition, identifying the criteria for applicability and conditions to maximize impact.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.206
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it