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

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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

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Downloads: 9

Categories

Statistics, Natural Resources, Auction, Opportunity Cost

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

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