Country-Level Emissions Abatement Decisions

Table of Contents

1 Introduction

2 Model without policy intervention

2.1 Methodology of dynamic programming

2.1.1 Backward programming

2.1.2 Forward programming

2.2 Elements of the total cost function

2.2.1 The abatement cost curve

2.2.2 The temperature impact

2.2.3 The ecological impact

2.2.4 Considering the Parties’ expectations

2.3 Evaluation of results

3 Model with policy intervention

3.1 Academic and political background

3.2 Elements of the total cost function

3.2.1 The abatement cost curve

3.2.2 Assigning individual requirements

3.2.3 Determining a penalty for not meeting the requirements

3.2.4 Adding randomness

3.2.5 Accounting for the emissions of developing countries

3.2.6 Considering the Parties’ expectations

3.3 Evaluation of results

4 Comparison of both models

5 Conclusion

Objectives and Research Themes

This master's thesis aims to analyze country-level emissions abatement decisions using dynamic programming. The central research question addresses how nations determine their optimal abatement efforts in the absence of policy intervention and how binding policy mechanisms, such as individual abatement requirements, can influence global emissions trajectories and mitigate the ecological impacts of climate change.

• Simulation of country-level behavior in a climate change context.
• Comparative analysis of models with and without policy intervention.
• Evaluation of top-down mechanisms for distributing abatement requirements.
• Investigation into the impact of economic incentives and penalty-based compliance mechanisms.
• Modeling of stochastic elements and future expectations in climate policy.

Excerpt from the Book

Chapter Summaries

1 Introduction: Provides an overview of the global climate change problem and the motivation for using dynamic programming to model national abatement behavior.

2 Model without policy intervention: Details the mathematical framework for modeling countries' economic decisions to minimize costs based on abatement and ecological impact, using dynamic programming.

3 Model with policy intervention: Proposes and evaluates mechanisms for assigning individual emissions quotas to countries and analyzes the impact of penalties on national decision-making.

4 Comparison of both models: Synthesizes the results of the two modeling approaches to assess how policy intervention alters national incentives and global outcomes.

5 Conclusion: Summarizes the key findings, acknowledges model limitations, and suggests future research directions regarding compliance mechanisms and climate policy.

Keywords

Dynamic programming, climate change, emissions abatement, cost function, policy intervention, global warming, ecological impact, carbon trading, compliance mechanism, game theory, COP21, INDC, Matlab simulation, abatement costs, economic modeling.

Frequently Asked Questions

What is the primary focus of this master's thesis?

The work focuses on modeling and simulating the abatement decisions of countries regarding CO2 emissions using dynamic programming, both with and without explicit international policy interventions.

Which scientific methods are utilized in the research?

The author employs dynamic programming to solve cost-minimization problems for individual nations, utilizing Bellman's equation and stochastic modeling to account for future uncertainties and climate impacts.

What are the core research themes?

The core themes include the distribution of abatement duties, the economic impact of global warming, the role of international cooperation (coalitions), and the effectiveness of compliance mechanisms like penalties.

What is the purpose of the proposed models?

The models aim to demonstrate how different economic assumptions and regulatory frameworks influence a nation's willingness to abate emissions compared to a 'business as usual' growth scenario.

What does the "variations" term in the model signify?

The variations term represents the emissions of developing countries, allowing the model to dynamically adjust the global abatement target to maintain ecological integrity.

How does the author define the "trust-parameter"?

The trust-parameter measures the level of confidence each player has in the abatement efforts of the rest of the world, which significantly influences the projected abatement strategies of individual nations.

Why are cold countries modeled as potential beneficiaries of climate change?

The author utilizes modified findings from Tol's research, which suggest that moderate warming can result in a net economic benefit for certain cold-climate regions due to decreased energy demands and potential agricultural gains.

What role does the "buyer liability" concept play in the analysis?

In the context of designing a compliance mechanism, buyer liability is discussed as a method to create self-enforcing economic incentives for countries to ensure the permits they purchase are reliable.