Environmental and Climate Economics with Python

Reactive Publishing

Environmental and Climate Economics with Python provides a practical, code-first introduction to the economic analysis of climate change and environmental policy.

This book bridges climate economics and computational modeling by showing how to build and apply Integrated Assessment Models (IAMs), simulate carbon pricing mechanisms, evaluate climate policies, and analyze pathways to net-zero transitions, all using Python.

You will learn how to:

• Construct and run core Integrated Assessment Models
• Model carbon taxes, cap-and-trade systems, and social cost of carbon calculations
• Simulate climate policy scenarios and evaluate their economic impacts
• Develop net-zero transition pathways with realistic constraints
• Analyze uncertainty, sensitivity, and policy trade-offs using computational methods

Designed for researchers, graduate students, policy analysts, and data-oriented economists, this book emphasizes clear, reproducible Python implementations over abstract theory. Each chapter combines economic concepts with working code examples that can be adapted to real-world projects.

Whether you are studying climate policy, working in environmental economics, or developing technical tools for sustainability analysis, this book offers a hands-on foundation for turning economic models into actionable insights.

Technical requirements: Basic knowledge of Python and familiarity with numerical libraries (NumPy, SciPy, Pandas, Matplotlib) is recommended.