Managing global marine resources by assigning property rights could align economic and conservation incentives, but only if unauthorized resource use is deterred. Exclusive Economic Zones (EEZs) are country-level property rights to marine resources, covering approximately 39% of the ocean’s surface and accounting for more than 95% of global marine fish catch. However, EEZs might not be respected by unauthorized resource users because the cost of monitoring and enforcing such large areas may be prohibitive. Here we provide the first evidence that EEZs are in fact respected by unauthorized resource users. Using global, high-resolution fishing effort datasets and the ecologically arbitrary boundaries between EEZs and the high seas, we find that unauthorized foreign fishing is 81% lower just inside EEZs compared to just outside. Consistent with the high cost of enforcing EEZ boundaries, this deterrence effect is concentrated in EEZs that are most valuable near their boundaries. Our results suggest that property rights institutions can enable effective governance of global marine resource use.
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All data used in the analysis are publicly available. In Supplementary Methods section 1, we describe the data used in the analysis in detail and specify how all data can be downloaded or obtained.
Replication code is available at https://github.com/englander/replication_eez.
Barrett, S. Environment and Statecraft: The Strategy of Environmental Treaty-Making (Oxford Univ. Press, 2005).
Pauly, D. & Zeller, D. (eds) Sea Around Us Concepts, Design and Data (2015); www.seaaroundus.org/data/#/global
Hannesson, R. in Encyclopedia of Energy, Natural Resource, and Environmental Economics (ed. Shogren, J. F.) 150–153 (Elselvier, 2013).
Wilen, J. E. Renewable resource economists and policy: what differences have we made? J. Environ. Econ. Manag. 39, 306–327 (2000).
Cabral, R. B. et al. Rapid and lasting gains from solving illegal fishing. Nat. Ecol. Evol. 2, 650–658 (2018).
Belhabib, D. et al. Euros vs. Yuan: comparing European and Chinese fishing access in West Africa. PLoS ONE 10, e0118351 (2015).
Mora, C. et al. Management effectiveness of the world’s marine fisheries. PLoS Biol. 7, e1000131 (2009).
Melnychuk, M. C., Peterson, E., Elliott, M. & Hilborn, R. Fisheries management impacts on target species status. Proc. Natl Acad. Sci. USA 114, 178–183 (2017).
Hollick, A. L. The origins of 200-mile offshore zones. Am. J. Int. Law 71, 494–500 (1977).
Imbens, G. W. & Lemieux, T. Regression discontinuity designs: a guide to practice. J. Econ. 142, 615–635 (2008).
Costello, C. & Grainger, C. A. Property rights, regulatory capture, and exploitation of natural resources. J. Assoc. Environ. Resour. Econ. 5, 441–479 (2018).
Smith, M. D., Lynham, J., Sanchirico, J. N. & Wilson, J. A. Political economy of marine reserves: understanding the role of opportunity costs. Proc. Natl Acad. Sci. USA 107, 18300–18305 (2010).
Homans, F. R. & Wilen, J. E. A model of regulated open access resource use. J. Environ. Econ. Manag. 32, 1–21 (1997).
Anticamara, J. A., Watson, R., Gelchu, A. & Pauly, D. Global fishing effort (1950–2010): trends, gaps, and implications. Fish. Res. 107, 131–136 (2011).
Watson, R. A. et al. Global marine yield halved as fishing intensity redoubles. Fish Fish. 14, 493–503 (2013).
Kroodsma, D. A. et al. Tracking the global footprint of fisheries. Science 359, 904–908 (2018).
Elvidge, C. D., Zhizhin, M., Baugh, K. & Hsu, F.-C. Automatic boat identification system for VIIRS low light imaging data. Remote Sens. 7, 3020–3036 (2015).
Lam, V. W. Y., Tavakolie, A., Palomares, M. L. D., Pauly, D. & Zeller, D. in Global Atlas of Marine Fisheries: A Critical Appraisal of Catches and Ecosystem Impacts (eds Pauly, D. & Zeller, D.) 59–67 (Island Press, 2016).
Flanders Marine Institute Intersect of IHO Sea Areas and Exclusive Economic Zones ( version 2) (2012); http://www.marineregions.org
Cuevas, J. M. et al. Squatina argentina. The IUCN Red List of Threatened Species 2019 e.T39329A116841596 (IUCN, 2019).
Kyne, P. M., Sherrill-Mix, S. A. & Burgess, G. H. Somniosus microcephalus. The IUCN Red List of Threatened Species 2006 e.T60213A12321694 (IUCN, 2006).
Sobel, J. Hippoglossus hippoglossus. The IUCN Red List of Threatened Species 1996 e.T10097A3162182 (IUCN, 1996).
Demsetz, H. Toward a theory of property rights. Am. Econ. Rev. 57, 347–359 (1967).
Kaffine, D. T. Quality and the commons: the surf gangs of California. J. Law Econ. 52, 727–743 (2009).
Sutinen, J. G. & Andersen, P. The economics of fisheries law enforcement. Land Econ. 61, 387–397 (1985).
Arnason, R. On optimal dynamic fisheries enforcement. Mar. Resour. Econ. 28, 361–377 (2013).
Watson, R., Zeller, D. & Pauly, D. Primary productivity demands of global fishing fleets. Fish Fish. 15, 231–241 (2014).
Behrenfeld, M. J. & Falkowski, P. G. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnol. Oceanogr. 42, 1–20 (1997).
Cullen, J. J. in Encyclopedia of Ocean Sciences 1st edn (ed. Steele, J. H.) 2277–2284 (Academic Press, 2001).
UN General Assembly Concluding Session to Draft Marine Biodiversity Treaty (UN, 2018); https://www.un.org/press/en/2018/sea2086.doc.htm
Hannesson, R. Rights based fishing on the high seas: is it possible? Mar. Policy 35, 667–674 (2011).
Costello, C., Gaines, S. D. & Lynham, J. Can catch shares prevent fisheries collapse? Science 321, 1678–1681 (2008).
Arnason, R. in Encyclopedia of Energy, Natural Resource, and Environmental Economics (ed. Shogren, J. F.) 183–191 (Elselvier, 2013).
Cattaneo, M. D., Idrobo, N. & Titiunik, R. A Practical Introduction to Regression Discontinuity Designs: Foundations (Cambridge Univ. Press, 2019).
Hainmueller, J. et al. Protecting unauthorized immigrant mothers improves their children’s mental health. Science 357, 1041–1044 (2017).
Hansen, B. Punishment and deterrence: evidence from drunk driving. Am. Econ. Rev. 105, 1581–1617 (2015).
Greenstone, M. & Gallagher, J. Does hazardous waste matter? Evidence from the housing market and the superfund program. Q. J. Econ. 123, 951–1003 (2008).
Newey, W. K. & West, K. D. A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55, 703–708 (1987).
Newey, W. K. & West, K. D. Automatic lag selection in covariance matrix estimation. Rev. Econ. Stud. 61, 631–653 (1994).
South, A. rworldmap: Mapping Global Data. R package v.1.3-6 (2016).
I thank P. Berck, M. Auffhammer, S. Hsiang, D. Squires and J. Proctor for many helpful discussions. I thank D. Kroodsma, Global Fishing Watch, D. Palomares, G. Tsui and the Sea Around Us for sharing data. I thank C. Spindell Berck, J. Shrader, R. Walker, E. Frank, D. Kroodsma, K. Dunkle Werner, S. Eisenbarth, S. Villas-Boas and K. Siegel for further comments and suggestions. This work is supported by NOAA grant No. NA18OAR4170326, California Sea Grant College Program Project No. E/MRE-9.
The author declares no competing interests.
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Englander, G. Property rights and the protection of global marine resources. Nat Sustain 2, 981–987 (2019). https://doi.org/10.1038/s41893-019-0389-9
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