Sectoral composition of GDP and greenhouse gas emissions: an empirical analysis in EU27

Martín-Ortega, Juan Luis; González-Sánchez, Mariano

doi:10.1007/s10668-023-04048-5

Cited by 1 publication

(1 citation statement)

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“…These proxies have been selected considering: (i) data availability, prioritising proxies with generally accessible and comprehensible data; and (ii) the theoretical relationship between sectoral emissions and the proxy, grounded in relevant research. Table 1 shows the main proxies considered, describing the theoretical relationship between variables building from [22,23].…”

Section: General Frameworkmentioning

confidence: 99%

Enhancing Transparency of Climate Efforts: MITICA’s Integrated Approach to Greenhouse Gas Mitigation

Martín-Ortega,

Chornet,

Sebos

et al. 2024

Sustainability

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Under the Paris Agreement, countries must articulate their most ambitious mitigation targets in their Nationally Determined Contributions (NDCs) every five years and regularly submit interconnected information on greenhouse gas (GHG) aspects, including national GHG inventories, NDC progress tracking, mitigation policies and measures (PAMs), and GHG projections in various mitigation scenarios. Research highlights significant gaps in the definition of mitigation targets and the reporting on GHG-related elements, such as inconsistencies between national GHG inventories, projections, and mitigation targets, a disconnect between PAMs and mitigation scenarios, as well as varied methodological approaches across sectors. To address these challenges, the Mitigation-Inventory Tool for Integrated Climate Action (MITICA) provides a methodological framework that links national GHG inventories, PAMs and GHG projections, applying a hybrid decomposition approach that integrates machine learning regression techniques with classical forecasting methods for developing GHG emission projections. MITICA enables mitigation scenario generation until 2050, incorporating over 60 PAMs across Intergovernmental Panel on Climate Change (IPCC) sectors. It is the first modelling approach that ensures consistency between reporting elements, aligning NDC progress tracking and target setting with IPCC best practices while linking climate change with sustainable economic development. MITICA’s results include projections that align with observed trends, validated through cross-validation against test data, and employ robust methods for evaluating PAMs, thereby establishing its reliability.

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Section: General Frameworkmentioning

confidence: 99%