Carbon Emission Quota Allocation in Trading Systems
Summary
Carbon emission quota allocation underpins the operation and integrity of emissions trading systems by determining how a finite pool of tradable allowances is distributed among entities. Allocation mechanisms balance efficiency—maximising emissions reductions at least cost—and equity—ensuring fair burden sharing across sectors, regions or nations. Common approaches include grandfathering, benchmarking and auctions, often combined in hybrid schemes to reconcile political acceptability with environmental effectiveness. Methodologies range from simple historical-load formulas to sophisticated optimisation and game-theoretic models, incorporating economic output, carbon intensity, technological potential and historical responsibility. Dynamic allocation designs adjust quotas over time in response to performance or technological change, while sector-specific rules address industry heterogeneity. Regional and interjurisdictional cooperation introduces additional layers of complexity, requiring fair benefit-sharing mechanisms and governance safeguards. Allocation outcomes influence market liquidity, price stability and investment signals, with revenues from auctioning available for low-carbon innovation or social compensation. Globally, robust quota allocation is critical for meeting collective climate targets under frameworks such as the EU Emissions Trading System and various national or sub-national pilot programmes, offering transferable lessons for emerging markets in Asia, North America and beyond.
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Carbon Emission Quota Allocation in Trading Systems publication trend
The graph below shows the total number of articles in carbon emission quota allocation in trading systems across all publications each year (not limited to Nature Index journals).
Technical terms
Carbon emission quota: A legal entitlement to emit a specified amount of carbon dioxide or equivalent greenhouse gases within a trading period.
Cap-and-trade: A market-based system that sets a limit (cap) on total emissions and allows trading of emission allowances among participants.
Grandfathering: Free allocation of allowances based on historical emissions or production levels.
Auctioning: Allocation of emission permits through competitive bidding, generating revenue for governments.
Data Envelopment Analysis (DEA): A non-parametric technique for assessing relative efficiency among decision-making units using input–output data.
Super-Slacks-Based Measure (Super-SBM): An advanced variant of DEA that accommodates undesirable outputs, such as emissions, by directly measuring slacks.
Shapley value: A solution concept from cooperative game theory distributing total gains fairly based on each participant’s marginal contribution.
Entropy weight method: An objective weighting approach that uses information entropy to determine the relative importance of evaluation indicators.
Analytic Hierarchy Process (AHP): A structured decision-making technique that derives subjective weights through pairwise comparisons of criteria by experts.
References
- Research on provincial carbon quota allocation under the background of carbon neutralization. Energy Reports (2022).
- Modeling Interprovincial Cooperative Carbon Reduction in China: An Electricity Generation Perspective. Frontiers in Energy Research (2021).
- Allocation Model of Carbon Emission Permits for the Electric Power Industry with a Combination Subjective and Objective Weighting Approach. Energies (2020).
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