Integrating Economic and Ecological Impact Modelling: Dynamic Processes in Regional Agriculture under Structural Change

Lehtonen, Heikki

doi:10.5772/7089

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…A model on off road vehicles, which is used for the inventory calculations, and also for projections (TYKO machinery; no further reference available). A dynamic regional sector model of Finnish agriculture (Dremfia model; [102]), together a nitrogen application model, and a computation approach in excel file. A carbon accounting model for soil carbon (MELA model, based on the YASSO model- [72,79]) for the LULUCF sector.…”

Section: Finlandmentioning

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: Finlandmentioning

confidence: 99%