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Authors' response to Unjournal evaluations of "Banning wildlife trade can boost demand for unregulated threatened species"

Author

Listed:
  • Takahiro Kubo
  • Saeko Terada
  • Shinya URYU
  • Taro Mieno
  • Diogo Verissimo

Abstract

This is the authors' response to the evaluations of the paper "Banning wildlife trade can boost demand for unregulated threatened species", commissioned by The Unjournal (Unjournal.org).

Suggested Citation

  • Takahiro Kubo & Saeko Terada & Shinya URYU & Taro Mieno & Diogo Verissimo, 2023. "Authors' response to Unjournal evaluations of "Banning wildlife trade can boost demand for unregulated threatened species"," The Unjournal Evaluations 2023-63, The Unjournal.
    • Handle: RePEc:bjn:evalua:wildlife2023-ar
    DOI: 10.21428/d28e8e57.c58e9bde
    as

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    References listed on IDEAS

    as
    1. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    2. M. Hino & E. Benami & N. Brooks, 2018. "Machine learning for environmental monitoring," Nature Sustainability, Nature, vol. 1(10), pages 583-588, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • F18 - International Economics - - Trade - - - Trade and Environment

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