Marginal Abatement Cost Curves for Thailand's Agri-Food Processing Industry

8,737 ktCO₂e per year of Scope 1 and 2 GHG emissions are estimated for five major Thai agri-food processing sub-sectors. The dataset, created by Phutthichai Amornwattahcharoenchai and last updated in May 2026, models eight abatement measures per sub-sector using secondary data from national energy audits and IPCC factors. It provides a quantitative baseline for policy design under Thailand's Bio-Circular-Green Economy strategy and Nationally Determined Contribution targets.

Use Cases

• Evaluate cost-effectiveness of decarbonization measures based on Marginal Abatement Cost (MAC) values ranging from -14.2 to +42.5 USD per tonne CO₂e.
• Assess sector-level alignment with Thailand's Bio-Circular-Green (BCG) Economy strategy based on the composite BCG Alignment Index (BCG-AI).
• Model GHG abatement potential for specific sub-sectors (e.g., sugarcane, cassava, rice, canned fruit, frozen seafood) based on the eight evaluated measures per sub-sector.
• Benchmark emissions intensity for voluntary carbon footprint disclosure by Thai food exporters based on the baseline dataset.
• Inform evidence-based policy design for Thailand's NDC target of a 33.3% GHG reduction by 2030 based on the Aligned Transition scenario abatement estimates.

Strengths

• Emissions and cost estimates are derived from secondary quantitative data sources including national energy audit reports and IPCC emission factors.
• Parameter uncertainty is quantified through Monte Carlo simulation, providing a 90% uncertainty interval for abatement estimates (e.g., 2,780–3,910 ktCO₂e).
• Analysis covers five major agri-food processing sub-sectors with eight abatement measures evaluated per sub-sector, allowing for cross-sector comparison.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset scope is limited to five specific sub-sectors within Thailand's agri-food processing industry.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare

Collection Method

Constructed using exclusively secondary quantitative data from national energy audit reports, GHG inventories, and IPCC emission factors.

Freshness

Last updated 2026-05-28 04:49:39

Geography

Thailand