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Predicting Private Landowner Intentions to Enroll in an Incentive Program to Protect Endangered Species

Bibliographic Data

ID15327003
AuthorsMichael G Sorice (0000-0001-9865-0965, Texas A&M University, corresponding author), J Richard Conner (Texas A&M University)
Year2010
Volume15
Issue2
Pages77-89
Publication date2010-03-24
Open AccessNo
TypeARTICLE
VenueHuman Dimensions of Wildlife (JOURNAL)
Journal identifiersISSN: 1087-1209 • E-ISSN: 1533-158X
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10871200903551985
OpenAlexW2057343954
LanguageEN
Citations received17
References cited24

This study evaluated landowners' interests in enrolling in a hypothetical incentive program targeting endangered species recovery. Using data from structured interviews and s-urveys, we employed the reasoned action framework to predict landowners' behavioral intentions to enroll in a hypothetical program designed to provide habitat for two endangered songbirds in central Texas. Landowners with positive attitudes toward enrolling and who shared the program's land management objectives had the greatest intention to enroll. Additional behavioral indicators improved prediction and highlight the importance of incorporating landowner management goals into program design. Results suggest that the inclusion of ancillary measures of behavior can improve prediction of multi-attribute behaviors under the theory of reasoned action

Actuarial science · Business · Economics · Endangered species · Environmental planning · Environmental resource management · Geography · Habitat · Incentive · Incentive program · Inclusion (mineral · Land tenure · Theory of reasoned action · Economic and Environmental Valuation · Forest Management and Policy · Psychology · Social Psychology · Wildlife Ecology and Conservation · Ecology

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Citations per year1.13
Citation span2011 - 2026 (16)
Highly citedNo

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