Counterfactual Modeling of Multispecies Fisheries Outcomes under Market-Based Regulation

Date
2024-04-04
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of the Association of Environmental and Resource Economists
Abstract
Much of the recent work evaluating economic impacts of rights-based management (“catch shares”) in fisheries relies on treatment effects models, which typically identify net effects of the policy change but not underlying causal mechanisms. We develop a structural discrete choice model of individual vessel behavior to elucidate how catch shares—and the policies that they replace—influence species targets, timing of fishing activity, and the value generated from the resource. We estimate our model using trip-level data on 286 New England groundfish vessels before and after catch-share implementation. Controlling for weather, costs, and prices, we recover structural parameters characterizing microlevel targeting decisions and simulate the effects of removing input controls and replacing them with catch shares. We find that, under catch shares, the fleet experienced longer and more even fishing seasons, somewhat higher groundfish revenues, fewer closures, and a more balanced portfolio of target stocks than in the counterfactual. Dataverse data: https://doi.org/10.7910/DVN/PJ4YZZ
Description
This article was originally published in Journal of the Association of Environmental and Resource Economists, volume 11, number 3, May 2024. © 2024 The Association of Environmental and Resource Economists. All rights reserved. Published by The University of Chicago Press for The Association of Environmental and Resource Economists. The version of record is available at: https://doi.org/10.1086/727356. This article will be embargoed until 04/04/2025.
Keywords
microlevel behavioral modeling, fisheries, rights-based management
Citation
Birkenbach, Anna M., Min-Yang Lee, and Martin D. Smith. “Counterfactual Modeling of Multispecies Fisheries Outcomes under Market-Based Regulation.” Journal of the Association of Environmental and Resource Economists 11, no. 3 (May 1, 2024): 755–96. https://doi.org/10.1086/727356.