UNIVERSITY of ALASKA ANCHORAGE Voluntary Approaches to Transitioning from Competitive Fisheries to Rights-Based Management: An Experimental Analysis or Bringing the Field into the Lab Gunnar Knapp Jim Murphy Dept. of Economics UNIVERSITY of ALASKA ANCHORAGE Evolution of fisheries management institutions Institution Characteristics Problem Open-Access (Common Pool) No regulation Over-fishing (“Tragedy of the Commons”) Dept. of Economics UNIVERSITY of ALASKA ANCHORAGE Evolution of fisheries management institutions Institution Characteristics Problem Open-Access (Common Pool) No regulation Over-fishing (“Tragedy of the Commons”) Regulated Open-Access Limit on total catch Race for fish; Excess inputs Dept. of Economics UNIVERSITY of ALASKA ANCHORAGE Evolution of fisheries management institutions Institution Characteristics Problem Open-Access (Common Pool) No regulation Over-fishing (“Tragedy of the Commons”) Regulated Open-Access Limit on total catch Race for fish; Excess inputs Limited entry Input restrictions Race for fish; “Capital stuffing” of unrestricted inputs Dept. of Economics Problems with Limited Entry Management in Alaska’s Bristol Bay Salmon Fishery . . . Race for Fish Fishermen get in each other’s way competing for the best place to catch fish (“Derby fishing) (Photograph by Bart Eaton) Problems with Limited Entry Management in Alaska’s Bristol Bay Salmon Fishery . . . “Capital Stuffing” New 32’ boat (1990s) Old 32’ boat (1970s) Although boats are restricted to 32’ in length, over time fishermen have built wider and taller boats in an effort to catch a larger share of the available fish. Boat costs have increased without any corresponding increase in catches. (Photograph by Norm Van Vactor) Evolution of fisheries management institutions Institution Characteristics Problem Open-Access (Common Pool) No regulation Over-fishing (“Tragedy of the Commons”) Regulated Open-Access Limit on total catch Race for fish; Excess inputs Limited entry Input restrictions Race for fish; “Capital stuffing” of unrestricted inputs Limits on individual catches (Individual quotas) Allocation issues (who gets the quotas?) Transition issues Rights-Based Our Research Focus: Voluntary Transition to Rights-Based Management APPROACH: • Divide the total quota between a derby fishery and a rights-based fishery • Give fishermen a choice between fisheries • Base quotas on the number of fishermen choosing each fishery LOGIC: • Opportunity to demonstrate benefits • “Win-win” • Reduced opposition QUESTION: • Does voluntary transition lead to easier and quicker adoption? Experimental Methodology Basic math of the derby fishery problem: Standard profit max: max pqi ci xi p price of harvest qi individual harvest xi input choice ci (xi) cost function Maximizing profits in a derby Standard profit max: max pqi ci xi p price of harvest qi individual harvest xi input choice ci (xi) cost function where: i xi qi Q j x j i skill Q aggregate quota Share of total harvest 1 2 3 4 5 6 7 1 9.56 6.23 4.56 3.56 2.90 2.42 2.06 2 12.46 9.13 7.13 5.79 4.84 4.13 3.57 3 13.69 10.69 8.69 7.26 6.19 5.35 4.69 4 14.25 11.58 9.68 8.25 7.14 6.25 5.52 64 65 66 67 68 69 70 -0.13 -0.13 -0.14 -0.14 -0.15 -0.15 -0.16 -0.27 -0.28 -0.29 -0.30 -0.30 -0.31 -0.32 -0.42 -0.43 -0.44 -0.46 -0.47 -0.48 -0.49 -0.57 -0.59 -0.61 -0.62 -0.64 -0.65 -0.67 My Input Choice 5 6 14.48 14.52 12.10 12.38 10.31 10.71 8.92 9.38 7.81 8.28 6.90 7.38 6.15 6.61 -0.74 -0.76 -0.78 -0.80 -0.82 -0.84 -0.85 -0.91 -0.93 -0.96 -0.98 -1.00 -1.03 -1.05 7 14.44 12.49 10.94 9.66 8.60 7.71 6.94 8 14.28 12.50 11.05 9.83 8.81 7.93 7.17 9 14.06 12.43 11.06 9.91 8.92 8.06 7.31 10 13.81 12.29 11.01 9.91 8.96 8.13 7.39 0.14 0.29 0.43 0.57 0.71 0.86 1.00 -1.09 -1.12 -1.14 -1.17 -1.20 -1.22 -1.24 -1.28 -1.31 -1.34 -1.37 -1.39 -1.42 -1.45 -1.47 -1.51 -1.54 -1.57 -1.60 -1.63 -1.66 -1.67 -1.71 -1.74 -1.78 -1.81 -1.84 -1.88 9.14 9.29 9.43 9.57 9.71 9.86 10.00 Average Input Choice of Other Group Members Total Input Choice of Other Group Members Potential experimental approach: Nonlinear social dilemma payoff table Concerns about payoff tables We don’t live in a world of payoff tables • A lot of numbers, hard to read • Too abstract?? Frames how a person should think about the game • May affect extent of cooperative behavior How to address heterogeneity of fishing skill? Harvesting experiment 8 subjects per group 20 cups of beans in large bowl Revenue is $1/cup. Subjects need to purchase “gear” to harvest the beans. • Select a measuring cup • Larger gear costs more. Experiment supplies Subjects harvest beans by scooping them into a pitcher on the floor 20 cups of pinto beans Measuring scoops Gear (measuring cups) Cost of your harvesting scoop is: Cost Cost Scoop Size (cups) (scoops) (cups) 0.55 1/8 1.09 1/4 1.46 1/3 4.375 2.19 1/2 2.92 2/3 3.28 3/4 4.38 1 Amount of beans in the bowl 20.0 cups Total 2.5 cups Per Person Experiment Summary: 3 treatments 4 sessions per treatment 16 rounds per session Round Practice 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Treatment Treatment Treatment 1 2 3 Skill Skill Skill Skill Skill Skill Derby Derby Derby Choice Choice between between Derby & Derby & Individual Individual Quota Quota Skill Derby video An unanticipated but interesting result: Significant rent dissipation occurs as beans are spilled 10 Mean = 27% $5.40 per period spilled 0 5 (= $0.68/person) 10 20 30 Percent of Beans Spilled 40 50 0 5 10 15 20 25 There is wide heterogeneity in “fishing” skill, highly correlated across rounds .05 .1 .15 Share of Total Catch in the Skill Treatment .2 We can predict catch shares accurately as a function of “skill” and cup choices (we can estimate catch functions) .2 .1 0 Share of Catch .3 Share of Catch vs. Share of Power 0 .1 .2 Share of Power .3 .4 Rent dissipation occurs through capital stuffing: Subjects choose scoops larger than 1/8 cup 30 Distribution of Cup Choices “Nash” Prediction (with homogeneous subjects): Percent 20 1/2 cup if no spills 0 10 1/3 cup if 25% spilled 0 1/8 1/4 1/3 1/2 Cup Size 2/3 3/4 1 15 20 Derby Earnings – Rents are almost fully dissipated 5 10 17% were < 0 0 Percent Mean = $0.15 -3 -2 -1 0 EarningsUSD 1 2 Derby Summary Predicted (with no spills, subject homogeneity) Harvest / person 2.50 Cup size 1/2 cup (cost=2.19) Earnings 0.31 (16% efficiency) Mean Observed 1.81 (73%) Spills are an externality 1/3 cup (mean cost=1.66) 0.15 (8% efficiency) IFQ video Voluntary transition: hypotheses Given the option to choose between a competitive fishery and a quota fishery, some but not all subjects will choose the quota fishery Over time, the number of subjects choosing the quota fishery will increase Average gear use (harvest cost) will be lower in both the quota and the competitive fishery than in a competitive-only fishery Average profits will be higher in both the quota and the competitive fishery than in a competitive-only fishery RESULTS: Some but not all subjects chose the quota fishery. Over time, the number of subjects choosing the quota fishery increased. Average Number of Subjects Choosing Quota Fishery (Average for four experiments, IHQ80 Treatment*) 8.0 7.0 number of subjects 6.0 5.0 4.0 *Beans were allocated between bowls so that the volume of beans per subject was always 25% higher in the competitive fishery than in the quota fishery. 3.0 2.0 1.0 0.0 8 9 10 11 12 period 13 14 15 16 RESULTS: Average gear use (harvest cost) are lower in the quota fishery and (in later periods) in the competitive fishery Average Cup Size by Period (Average for four experiments, IHQ80 treatment experiments) 0.50 0.45 Competive, mandatory 1/4 cup scoop Average cup size 0.40 0.35 Competitive, optional scoop size 0.30 0.25 Competitive bowl 0.20 0.15 Quota bowl 0.10 0.05 0.00 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 period RESULTS: Average profits are higher in both the quota and the competitive fishery than in a competitive-only fishery Average Earnings by Period (Average for four experiments, IHQ80 treatment experiments) 2.50 Competive, mandatory 1/4 cup scoop Average earnings (cups) 2.00 Competitive, optional scoop size 1.50 Quota bowl 1.00 Average, both bowls 0.50 Competitive bowl 0.00 1 2 3 4 5 6 7 8 9 period 10 11 12 13 14 15 16
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