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5 - Extensions

Published online by Cambridge University Press:  02 December 2020

Zili Yang
Zili Yang
Affiliation:
State University of New York at Binghamton
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Summary

This chapter extends the four basic models --- SEEE, SEEN, DEEE, and DEEN models, in several directions. These extensions are: mixed externality, correlated externalities, increasing returns to scale (IRS) in the economy and environmental externalities, and the environmental externality in exhaustible resource models. These extensions are abstracted largely from climate change research. These extensions revise some of the results obtained in chapters 3 and 4. They allow the readers to better understand the complexity of environmental externality problems. Again, several numerical examples and their programming codes are provided to help the modelling these extensions.

Keywords

ixed externalitycorrelated externalitiesincreasing returns to scale (IRS)exhaustible resource extraction and environmental externalitypolicy implications
Type
Chapter
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The Environment and Externality
Theory, Algorithms and Applications
 , pp. 146 - 220
Publisher: Cambridge University Press
Print publication year: 2020

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  • Extensions
  • Zili Yang, State University of New York at Binghamton
  • Book: The Environment and Externality
  • Online publication: 02 December 2020
  • Chapter DOI: https://doi.org/10.1017/9781108762557.006
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  • Extensions
  • Zili Yang, State University of New York at Binghamton
  • Book: The Environment and Externality
  • Online publication: 02 December 2020
  • Chapter DOI: https://doi.org/10.1017/9781108762557.006
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Extensions
  • Zili Yang, State University of New York at Binghamton
  • Book: The Environment and Externality
  • Online publication: 02 December 2020
  • Chapter DOI: https://doi.org/10.1017/9781108762557.006
Available formats
×