Fisheries Economics: Coastal and Oceanic Philip James, Fisheries Economist

1. Fisheries Economics: Coastal and Oceanic Philip James, Fisheries Economist Steven Hare, National Scientist Graham Pilling, Principle Fisheries Scientist

2. Background • Pressure on resources increase, economic analysis becomes increasingly important. • Not financial analysis • Utilised throughout the policy and project life cycle: • Design • Implementation • Evaluation • Analysis is critical to fully understanding the implications and impact of policy decisions

3. Case study 1: Deep water snapper bioeconomicmodelling • Work on DWS endorsed at HoF9 • Effort multiplier based bioeconomic model • Used to advise on proposed management plan: • Management measures • Fishery sustainability, • Efficient regulatory regime, • Other government objectives (e.g. employment, food security) Delivered under a project managed by NIWA and funded by NZ Aid Programme

4. Case study 1: Bioeconomic modelling

5. Case study 1: Bioeconomic modelling

6. Case study 1: Bioeconomic modelling

7. Case study 2: Interactions between artisanal fishers and industrial vessels • A different approach: “how does the presence of the industrial fishery impact the artisanal fishers willingness to go fishing” HoF7 requested SPC investigate interactions between artisanal and industrial fisheries. Most analysis has been on the stock effects. Work jointly developed by CFP Economist and Alex Tidd (OFP)

8. Case study 2: Interactions

9. Case study 2: Interactions • Implications are significant, over the period of analysis we estimated: • 2,200 artisanal fishing days were lost • Over 5,000 lost days of employment • 676 tons of fish were not landed by artisanal vessels, equivalent to yearly consumption of 11,500 people • USD2.7m in revenue to artisanal fishers lost

10. Case study 2: Interactions • Revenue – SI earn $27m from license fees, Tuvalu 85% of government revenue is from license fees and Marshall Islands $17m is for access rights in 2014 (Gillett 2016) • This is not to say that there is not a problem but there is some substitution of the losses in the artisanal by the industrial fishery. • The issue is therefore one of distribution and therefore of government policy. • Implications are significant, however comparison to industrial data: • Over 5,000 lost days of employment but we estimate that transshipping brought at least twice this amount of employment. • The ‘lost catch’ is close to or slightly greater than off loads.

11. Case study 3: Cost benefit analysis: Using UBA to harvest sea cucumber in Fiji

12. Case study 4: Economic contribution of game fishing in New Caledonia • SPC requested by HOF9 to provide economic advice on sports fishing. • Two years of data collection on catch and spending • Data collected on 452 fish caught by 59 fishers • Average spending per night of AUD850 • Potential to support up to 41 jobs

13. Case study 5: Development of a bioeconomic “Longline Tuna Tool” (LTT) • SPC, in collaboration with FFA, has been using bioeconomic modeling to assist member countries in establishing biologically, and economically, sustainable industrial longline fleet sizes for their EEZs • To streamline and standardize the presentations to government and industry, a sophisticated Excel spreadsheet tool was developed (with assistance from EDF)

14. Two versions of the LTT This is the “teaching” version

15. Maximum Economic Yield (MEY) and Breakeven (BE) User defined variables (costs and prices) are input Resultant levels of effort (hooks, days, vessels) to produce MEY and BE are output. Users keep the tool for use in what-if type discussions While the LTT is “user-friendly”, it requires expert assistance from SPC/FFA analysts when used for actual management advice and actions

16. National level work tied to regional-scale bioeconomic analyses • The tool had been deployed in several countries and has indicated ways to achieve more profitable fisheries • Further deployments are scheduled for 2017 • In light of sub-regional management arrangements, the LTT may help define optimum fishing levels within those TAC or effort limits

17. Data collection and M&E • To effectively evaluate fisheries development initiatives data collection is critical. • Standardised: support provided for data collection programmes such as FAD monitoring using SPC standardised- systems (e.g. Vanuatu). Ad-hoc: data collection using other e-collection platforms such as World Bank Survey Solutions used for ad-hoc data collections and evaluations.

18. Capacity development • Three attachments to SPC for economic and data analysis in 2016. • Stock assessment workshops have trained 150 since 2006 NFDS Capacity Development: Since 2015, 66 individuals trained in basic finance and more than 30 individuals trained in data collection.

19. Conclusions Thank you and please contact philipj@spc.int for more information Economists are involved in three main areas: Policy and project analysis Monitoring of policy and project impacts Capacity development More detail is in the economic policy brief and the working paper prepared for this session.

20. Group Work Thank you and please contact philipj@spc.int for more information • Following the group work, could country representatives please complete the questionnaire during tea break and return to me or the conference reception center.