Input-Output Analysis of Carbon Emission Linkages

Input-output analysis offers a systematic framework for quantifying how economic sectors and regions are interlinked through carbon emissions. By extending conventional input-output tables with emissions coefficients, researchers can trace both direct and indirect CO₂ flows along supply chains, capturing backward linkages (emissions embodied in inputs) and forward linkages (emissions induced downstream). This approach illuminates the carbon intensity of production, consumption and trade, enabling policymakers to identify high-impact sectors—such as electricity, steel and transport—and to design targeted decarbonisation strategies. Applications range from national inventories and sectoral mitigation roadmaps to bilateral trade adjustments and assessment of household-embedded emissions. Recent advances incorporate dynamic demand shocks, regional disaggregation and integration with life-cycle assessment, thus enhancing the precision of carbon-footprint estimates and informing cross-scale climate policy, resource-efficiency measures and transition pathways towards a low-carbon economy.

Research from Nature Portfolio

Recent studies have advanced the embedding of industrial carbon consumption into final household demand, revealing significant discrepancies between production-based and consumption-based emission multipliers. By decomposing Leontief inverse vectors and final pull effects, this work demonstrates that sectors such as generation of electricity and heat disproportionately contribute to urban and rural household emissions through both production and consumption channels. Regional analysis within a major economy highlights divergent sources of embedded emissions across provinces, emphasising the need for place-based mitigation policies. Uncertainty analysis further indicates that high-output sectors exhibit greater variability in emission estimates, underlining the importance of precise input quantities and intensity data for robust carbon accounting.

Input-Output Analysis of Carbon Emission Linkages publication trend

The graph below shows the total number of articles in input-output analysis of carbon emission linkages across all publications each year (not limited to Nature Index journals).

Technical terms

Input-output table: A matrix representing the flow of goods and services between economic sectors within a region or economy.

Leontief inverse: A matrix derived from the input-output coefficients that quantifies total (direct plus indirect) requirements of one sector for a unit of final demand in another.

Backward linkage: The sum of emissions embodied in the inputs required by a sector to produce its output.

Forward linkage: The emissions induced in downstream sectors when a given sector supplies intermediate inputs.

Hypothetical extraction method: A scenario analysis technique that estimates the contribution of a sector by simulating its removal and measuring resultant changes in emissions or output.

References

1. Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions. Scientific Reports (2020).
2. The role of labor and capital in sectoral CO2 emissions and linkages: The case of China, India and the USA. Ecological Indicators (2021).
3. Sectoral carbon linkages of Indian economy based on hypothetical extraction model. International Journal of Climate Change Strategies and Management (2020).
4. Structural decomposition and Regional Sensitivity Analysis of industrial consumption embedded emissions from Chinese households. Ecological Indicators (2021).
5. Assessing the Economic Structure, Climate Change and Decarbonisation in Europe. Earth Systems and Environment (2021).