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Developing a Foundational Framework for Emission Policy Design to Mitigate CO2 Emission in Iran Case Study: An Empirical Approach to Guide Decision-Makers in Iran Using Simplified DICE Models

Document Type : Original Article

Authors

1 PhD Candidate at Private Law Department, Law and Political Sciences Faculty, Allameh Tabataba'i University, Tehran, Iran

2 Assistant Professor of Private Law Department, Allameh Tabataba'i University, Tehran, Iran

Abstract
Climate change is a global issue, driven largely by greenhouse gas emission, with carbon dioxide (CO2) being the biggest contributor. Iran, one of the top 10 emitters globally, faces unique challenges in reducing its CO2 emission due to economic sanctions, data gaps, and limited experience with climate policy. To help guide decision-makers, this study uses the Simplified DICE model—DICE model is a widely accepted tool for analyzing climate and economic interactions—to evaluate different strategies for emission reduction. These strategies mainly include carbon pricing, investment in renewables as mitigation of emission growth, and improving energy efficiency. The results show that such policies can positively impact GDP, temperature stabilization, and emission levels. This research provides the first numerical framework tailored to Iran’s specific context, offering practical insights for policymakers. Key policy implications include the necessity to overcome sanctions in aspects of Investment and technology absorption, improved data collection to refine future analyses, and adopting cost-effective measures that balance economic growth with environmental sustainability.

Highlights

·      Despite being one of the top global emitters of greenhouse gases (GHGs), Iran has not yet taken serious steps to reduce its emissions, even though doing so is inevitable.

·      The primary challenge for decision-makers is to establish an analytical framework. This framework must guide them toward the necessary strategies, forecast the outcomes of their actions against targeted goals, and finally, monitor their progress.

Among all integrated assessment models (IAMs), the 2023 simplified DICE model was selected as the basis for analysis. The evaluation of four scenarios revealed positive outcomes for CO2 mitigation, while also indicating that GDP and the economy would benefit from both the mitigation efforts and the resulting decrease in emissions.

Keywords

Subjects

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  • Receive Date 16 January 2025
  • Revise Date 12 February 2025
  • Accept Date 19 February 2025