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Estimating the cost of invasive species control

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  • Jardine, Sunny L.
  • Sanchirico, James N.

Abstract

Optimal invasive species control depends on the nature of the removal cost function. Obtaining reliable estimates of removal costs, however, is challenging because the effectiveness of invasive species control is often unobserved. As a result, there are few, if any, estimates of invasive species removal costs in the literature. To address this challenge, we couple a spatial population dynamics model with standard econometric methods and estimate a removal cost function when control effectiveness is unobserved. Our cost estimates are based on unique panel data from 2004-2011 for 122 sites in the Invasive Spartina Project, a control program in the California San Francisco Bay Area. Contrary to common assumptions on removal costs in the invasive species literature, we find that removal costs are linear in removal suggesting that a bang-bang type of control is optimal, which is largely consistent with the Invasive Spartina Project's policy of rapid eradication.

Suggested Citation

  • Jardine, Sunny L. & Sanchirico, James N., 2018. "Estimating the cost of invasive species control," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 242-257.
    • Handle: RePEc:eee:jeeman:v:87:y:2018:i:c:p:242-257
    DOI: 10.1016/j.jeem.2017.07.004
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    Cited by:

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    3. Lucas Bretschger & Karen Pittel, 2019. "Twenty Key Questions in Environmental and Resource Economics," CER-ETH Economics working paper series 19/328, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    4. Catarino, Rui & Areal, Francisco & Park, Julian & Parisey, Nicolas, 2019. "Spatially explicit economic effects of non-susceptible pests' invasion on Bt maize," Agricultural Systems, Elsevier, vol. 175(C), pages 22-33.
    5. Onal, Sevilay & Akhundov, Najmaddin & Büyüktahtakın, İ. Esra & Smith, Jennifer & Houseman, Gregory R., 2020. "An integrated simulation-optimization framework to optimize search and treatment path for controlling a biological invader," International Journal of Production Economics, Elsevier, vol. 222(C).
    6. Carolina Carrión-Klier & Nicolas Moity & Christian Sevilla & Danny Rueda & Heinke Jäger, 2022. "The Importance of Very-High-Resolution Imagery to Map Invasive Plant Species: Evidence from Galapagos," Land, MDPI, vol. 11(11), pages 1-21, November.
    7. Haden Chomphosy, William & Manning, Dale T. & Shwiff, Stephanie & Weiler, Stephan, 2023. "Optimal R&D investment in the management of invasive species," Ecological Economics, Elsevier, vol. 211(C).

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