Data for: Designing cost-effective payments for forest-based carbon sequestration: An auction-based modeling approach

Published: 9 May 2019 | Version 1 | DOI: 10.17632/484f946m89.1
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Description of this data

Data exhibits uniform distribution across landscape, simulated using R:

  1. Net returns under current land use between 100 and 1000 $/hectare,
  2. Net gain in carbon storage with afforestation between 5 and 45 ton/hectare,
  3. Area under current land use between 50 and 500 hectares, and
  4. Random term for overbid amount between 5 and 15 $/hectare.

Experiment data files

This data is associated with the following publication:

Designing cost-efficient payments for forest-based carbon sequestration: An auction-based modeling approach

Published in: Forest Policy and Economics

Latest version

  • Version 1

    2019-05-09

    Published: 2019-05-09

    DOI: 10.17632/484f946m89.1

    Cite this dataset

    Sharma, Bijay P; Cho, Seong-Hoon; Yu, Tun-Hsiang (2019), “Data for: Designing cost-effective payments for forest-based carbon sequestration: An auction-based modeling approach”, Mendeley Data, v1 http://dx.doi.org/10.17632/484f946m89.1

Statistics

Views: 72
Downloads: 9

Categories

Statistics, Natural Resources, Auction, Opportunity Cost

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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