An agent-based model to evaluate and compare the performance of an emission tax and permit market under heuristic behavior, heterogeneity, and dynamic markets.
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Updated
Nov 13, 2020 - Jupyter Notebook
An agent-based model to evaluate and compare the performance of an emission tax and permit market under heuristic behavior, heterogeneity, and dynamic markets.
The next generation of the PRIMAP climate policy analysis suite
Tutorial notebook of the pyam package
Open Course on Energy and Climate Policy.
Deep Policy Lab (Deep Energy and Climate Policy Lab): Data-driven, Evidence-based, Energy and Climate, Policy Research
At Climate Policy Radar, we’re building an open-source knowledge graph for climate policy. Using an ontology defined by climate policy experts, we create a set of machine learning models to highlight where each concept is mentioned in a comprehensive dataset of the world's climate laws, policies, and related documents.
Report of industry and agriculture greenhouse gas emissions from energy use (fuel combustion or electricity use) in a user-selected region of New York State (economic development regions), or for the state as a whole. Data are for years 2010-2016; primary data source is the NREL Industrial Energy Data Book (IEDB).
This project studies how European banks adjust their balance sheets and capital ratios in response to climate transition policies. Rather than estimating causal effects, the focus is on mechanisms and dynamics that is capital buffers, asset growth, leverage, and profitability.
An agent-based model to investigate how differing climate policies amongst countries influence firm-level microeconomic behaviour.
Open Python toolkit for EU ETS analysis. Verified TNAC reference series, EEX auction prices, and MSR mechanism helpers from free public sources.
Python package for estimating EU ETS carbon-cost exposure using emissions, allowance prices, free allocation, and scenario-based compliance assumptions.
Multi-sector climate pathway calculation engine for the Transition Compass platform
Interactive Streamlit dashboard for Mexico's GHG decarbonization scenario analysis (2020–2050). Four scenarios × 8 sectors with Monte Carlo uncertainty bands and DMDU robustness table.
UC Berkeley EEP 147
Country-panel analysis (1990–2024) of carbon pricing's economic effects — emissions trends, price adoption, and a difference-in-differences estimate of carbon tax/ETS impact on GDP growth, inflation, and unemployment.
Pipeline en Python y R para escalar estrategias nacionales de descarbonización AFOLU del modelo SISEPUEDE a unidades territoriales subnacionales. Caso de estudio: 106 municipios de Yucatán, México (2015–2050).
Work-in-progress repository for the Climate Policy Design Dataset: domestic consumer climate subsidies & regulations (1990–2022)
Monthly Climate Policy Uncertainty Index from Gavriilidis (2021), Measuring Climate Policy Uncertainty.
Agent-friendly, schema-aware access to European climate data from EEA Discodata
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