Economic Dynamics of Carbon Emissions Management
Summary
The economic dynamics of carbon emissions management encompass the design, implementation and evaluation of policy instruments and market mechanisms intended to steer investment and technological innovation towards low‐carbon pathways. Central to this field is the analysis of carbon pricing schemes, such as carbon taxes and emissions trading systems, which internalise the external cost of greenhouse-gas emissions and create financial incentives for abatement. Dynamic economic models capture the interaction between regulatory frameworks, industry behaviour and macroeconomic feedbacks over time, illustrating how shifting factor prices, technological learning curves and expectations shape the pace and cost of decarbonisation. Attention has increasingly turned to heterogeneous impacts across regions and sectors, recognising that economic structure, energy mix and institutional capacity influence both mitigation potential and policy effectiveness. Applied frameworks—drawing on tools such as data envelopment analysis and system-dynamics simulation—enable policymakers to assess trade-offs between economic growth and emissions reduction, to anticipate rebound effects and to calibrate interventions that align with broader sustainable‐development goals. The global significance of this research lies in its capacity to inform equitable, efficient and resilient transition strategies, guiding both national governments and private actors in setting realistic abatement targets, allocating resources and fostering innovation in low-carbon technologies.
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Economic Dynamics of Carbon Emissions Management publication trend
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Technical terms
Carbon pricing: An economic instrument that assigns a cost to carbon dioxide emissions, typically through a tax or market-based allowance, to internalise environmental externalities and encourage abatement.
Emissions trading scheme: A cap-and-trade mechanism in which a fixed quantity of emission allowances is allocated or auctioned to firms, which may buy or sell permits to meet regulatory limits.
Data envelopment analysis (DEA): A non-parametric method for assessing the relative efficiency of decision-making units by comparing inputs and outputs, often extended to account for undesirable outputs like emissions.
System dynamics: A simulation approach that models feedback loops and time delays in complex systems, used to project the long-term impacts of policy interventions on economic and environmental variables.
References
- Role of environmental regulation and renewable energy technology innovation in carbon neutrality: A sustainable investigation from China. Energy Strategy Reviews (2023).
- Simulation of China’s Carbon Emission based on Influencing Factors. Energies (2022).
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