TY - JOUR
T1 - Biological pollution prevention strategies under ignorance
T2 - The case of invasive species
AU - Horan, Richard D.
AU - Perrings, Charles
AU - Lupi, Frank
AU - Bulte, Erwin H.
N1 - Funding Information:
Horan and Lupi’s work on this project is sponsored by the Michigan Agricultural Experiment Station, and the Michigan Sea Grant College Program, project number R/EP-9 under grant number NA76RG0133 from the Office of Sea Grant, National Oceanic & Atmospheric Association (NOAA), U.S. Department of Commerce, and funds from the State of Michigan. The U.S. Government is authorized to produce and redistribute reprints for government purposes notwithstanding any copyright notation appearing hereon. Bulte thanks the Royal Dutch Academy of Arts and Sciences for financial support.
PY - 2002
Y1 - 2002
N2 - Invasive alien species (IAS)-species that establish and spread in ecosystems to that they are not native-are argued to be the second-most important cause of biodiversity loss worldwide. Without natural predators, parasites, and/or pathogens to help control population growth, IAS frequently out-compete or prey on native species. They cause or spread diseases to cultivated plants, livestock and human populations. They often encroach on, damage or degrade assets (e.g., power plants, boats, piers, and reservoirs). The associated economic impacts can be significant. In this article, we examine the IAS preinvasion control problem using both ignorance and risk-management models. We begin with the more familiar risk-management framework, which might be advocated in the special case of full information. Next, we proceed using an ignorance (or uncertainty) framework. We indicate the information required to develop such a model, and we illustrate that rational policy design is possible under ignorance. Finally, we make qualitative comparisons between the two approaches.
AB - Invasive alien species (IAS)-species that establish and spread in ecosystems to that they are not native-are argued to be the second-most important cause of biodiversity loss worldwide. Without natural predators, parasites, and/or pathogens to help control population growth, IAS frequently out-compete or prey on native species. They cause or spread diseases to cultivated plants, livestock and human populations. They often encroach on, damage or degrade assets (e.g., power plants, boats, piers, and reservoirs). The associated economic impacts can be significant. In this article, we examine the IAS preinvasion control problem using both ignorance and risk-management models. We begin with the more familiar risk-management framework, which might be advocated in the special case of full information. Next, we proceed using an ignorance (or uncertainty) framework. We indicate the information required to develop such a model, and we illustrate that rational policy design is possible under ignorance. Finally, we make qualitative comparisons between the two approaches.
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U2 - 10.1111/1467-8276.00394
DO - 10.1111/1467-8276.00394
M3 - Article
AN - SCOPUS:0036955644
SN - 0002-9092
VL - 84
SP - 1303
EP - 1310
JO - American Journal of Agricultural Economics
JF - American Journal of Agricultural Economics
IS - 5
ER -