The Environment and Externality
eBook - PDF

The Environment and Externality

Theory, Algorithms and Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

The Environment and Externality

Theory, Algorithms and Applications

About this book

This innovative book models pollution mitigation as a negative externality whilst also providing desirable and useful solutions, such as establishing the triangular equivalence relationship among the Lindahl equilibrium without transfers, the Nash bargaining solution with the payoffs of the Cournot-Nash equilibrium as the status quo point, and the social optimum under the Lindahl weights. By introducing programming algorithms to validate these relationships numerically, Zili Yang bridges the gap between analytical results and empirical modelling, ultimately solving the Lindahl equilibrium and hybrid Nash equilibria in the influential RICE model. This text demonstrates the complexity and variety of environment externality problems, ranging from mixed externality to correlated externalities to environmental externality under IRS and policy applications. Integrating theory, algorithms and applications in a comprehensive framework, The Environment and Externality will benefit scholars and students working across environmental, resource and climate change economics.

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Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. 1 The Environment and Externality: An Overview
  11. 2 Modeling Pollution as an Externality Provision Problem
  12. 3 Analytical Results: General Equilibrium
  13. 4 Analytical Results: Strategic Provision
  14. 5 Extensions
  15. 6 Applications
  16. Epilogue
  17. Bibliography
  18. Index

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Yes, you can access The Environment and Externality by Zili Yang in PDF and/or ePUB format, as well as other popular books in Economics & Environmental Economics. We have over one million books available in our catalogue for you to explore.