TY - JOUR
T1 - Hybrid choice modeling offers an interdisciplinarperspective on angler preferences for the future
AU - Golebie, Elizabeth J.
AU - van Riper, Carena J.
AU - Johnson, Dana N.
AU - Lindberg, Kreg
AU - Joffe-Nelson, North
AU - Shin, Seunguk
AU - Stedman, Richard
AU - Suski, Cory
AU - Hunt, Len M.
N1 - This research was funded by the Great Lakes Fishery Commission (contract: 2018_VAN_44076) and USDA National Institute of Food and Agriculture Hatch program (accession #: 1012211). The undergraduate students who assisted with data entry for this project included David Nguyen, Delta Zhang, Megan Gaddy, Venus Apantenco, and Yen-Hsuan Chang. On-site survey data were collected in Indiana by Claire Bailey and Mandira Panta with support from the National Great Rivers Research and Education Center and Max Eriksson. Thanks are extended to the Great Lakes Fishery Commission Lake Committee managers for feedback during various phases of this research.
This research was funded by the Great Lakes Fishery Commission (contract: 2018_VAN_44076) and USDA National Institute of Food and Agriculture Hatch program (accession #: 1012211).
PY - 2024/10
Y1 - 2024/10
N2 - Angler decisions are shaped by an interplay between “internal” psychological processes and “external” institutional factors that are equally important yet often evaluated in isolation. We therefore developed a hybrid choice model whereby a structural equation model of behavioral antecedents was integrated with a discrete choice experiment to evaluate competing preferences for fisheries management scenarios across the Great Lakes region. We observed that preferences for native fish populations, invasive species impacts, wash station availability, habitat quality, and added cost per fishing trip were rooted in nature-based (i.e., biospheric), human-focused (i.e., altruistic) and self-driven (i.e., egoistic) values. Specifically, preferences for reduced invasive species impacts were more pronounced among anglers with stronger altruistic values, and less pronounced among those with strong egoistic values. Preferences also varied by fishing mode, in that boaters were more sensitive to cost than shoreline or mixed mode users, and younger anglers were more open to change. This study showcases a novel interdisci-plinary methodological approach that builds more complete knowledge of the interrelationships between psychological and institutional factors that underpin angler decision-making.
AB - Angler decisions are shaped by an interplay between “internal” psychological processes and “external” institutional factors that are equally important yet often evaluated in isolation. We therefore developed a hybrid choice model whereby a structural equation model of behavioral antecedents was integrated with a discrete choice experiment to evaluate competing preferences for fisheries management scenarios across the Great Lakes region. We observed that preferences for native fish populations, invasive species impacts, wash station availability, habitat quality, and added cost per fishing trip were rooted in nature-based (i.e., biospheric), human-focused (i.e., altruistic) and self-driven (i.e., egoistic) values. Specifically, preferences for reduced invasive species impacts were more pronounced among anglers with stronger altruistic values, and less pronounced among those with strong egoistic values. Preferences also varied by fishing mode, in that boaters were more sensitive to cost than shoreline or mixed mode users, and younger anglers were more open to change. This study showcases a novel interdisci-plinary methodological approach that builds more complete knowledge of the interrelationships between psychological and institutional factors that underpin angler decision-making.
KW - discrete choice experiment
KW - fisheries
KW - Great Lakes
KW - social science
KW - structural equation modeling
KW - values
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U2 - 10.1139/cjfas-2023-0280
DO - 10.1139/cjfas-2023-0280
M3 - Article
AN - SCOPUS:85206896783
SN - 0706-652X
VL - 81
SP - 1329
EP - 1343
JO - Canadian Journal of Fisheries and Aquatic Sciences
JF - Canadian Journal of Fisheries and Aquatic Sciences
IS - 10
ER -