Illegal, unreported and unregulated (IUU) fishing is one of the biggest threats to global ocean sustainability. Researchers estimate that at least 1 in 5 fish caught globally are caught illegally, with a total cost to coastal nations between U.S. $10 billion and $23 billion a year.1
The United Nations Food and Agriculture Organization’s Port State Measures Agreement (PSMA), in force since 2016, is the only legally binding international treaty specifically designed to prevent, deter and eliminate IUU-caught fish from entering the market.2 Parties to the PSMA must implement controls sufficient to minimize that risk to ensure that foreign fishing vessels landing or transshipping—that is, transferring fish or other marine wildlife between a fishing vessel and a carrier vessel—in ports do so legally. The agreement also requires that parties adopt similar controls for oversight of domestic fleets.
To identify gaps in PSMA implementation, The Pew Charitable Trusts commissioned a peer-reviewed study by researchers from Poseidon Aquatic Resource Management and Global Fishing Watch that was published in the journal Marine Policy in 2023.3 The research team used 2020 fishing and carrier vessel positional data from the Automatic Identification System (AIS) and other publicly available information to rank coastal State fishing ports by various measures—including foreign vessel visits, fishing vessel hold size and carrier vessel hold size—and determine which States had the most risk of illegally caught fish entering the marketplace to identify the ports where effective PSMA implementation would have the greatest impact.
This research builds on a first-of-its-kind 2019 study that used 2017 AIS data to better understand fishing and carrier vessel movements and to identify the most-used ports and the risks for IUU-caught fish to be landed at them. That analysis also yielded a peer-reviewed paper published in the Journal of Ocean and Coastal Economics in 2019.4 Now, this updated study includes an additional analysis of the use of designated ports— landing ports to which States direct foreign vessels to ensure application of sufficient controls—which is a key requirement of the PSMA.5
The latest findings demonstrate significant changes in the ranking of ports between the study years, mainly better AIS detection and track assessments, particularly of domestic fleets, changes in adoption and implementation of PSMA and port State measures (PSMs), and the impact of COVID-19-related port closures.6
The key findings were:
Overall, the study shows that simply being a party to the PSMA is highly effective in closing ports to illegal catch, and the analysis makes a strong case for more States to adopt the agreement.
This brief provides a summary of the study findings and lays out key recommendations to help States implement the PSMA.
In 2020, as in 2017, China was home to the top 10 ports in the world based on the total number of fishing and carrier vessel visits, with domestic vessels accounting for the majority of landings. (See Figure 1.) However, between those years, the ports used in China changed, and total vessel traffic increased 50%—most likely because AIS detection algorithms improved and the researchers used a different AIS provider that delivered more inshore data.
The main focus of the PSMA is for States to place tighter controls on foreign-flagged vessels seeking to enter and use their ports to land or transship fish. So, in addition to analysing which ports had the highest overall vessel visits, the study identified where most foreign vessels may be landing their catch and which States have the largest fish capture capacity for fishing vessels and carrier vessels. The findings should help PSMA parties provide more targeted assistance to States seeking to implement effective port measures and minimize the risk of IUU fish entering the market.
This analysis found that since the first study, the overall number of foreign vessel visits increased, and the ports visited changed significantly. (See Figure 2.) For instance, Nouadhibou, Mauritania, experienced a more than 100% increase in foreign vessel visits, changing the port’s ranking from fifth in 2017 to first in 2020. Most foreign fishing vessels landing in Nouadhibou were flagged to Turkey (930 visits), China (299), Spain (293) and Cameroon (183). Elsewhere, visits to Busan, South Korea, declined by slightly more than 10%, and the port dropped from first to second in the rankings, with the majority of visits from Russia, both fishing and carrier vessels (837 visits), China (178) and Panama (146).
In addition, many Pacific ports experienced significant decreases in vessel visits between 2017 and 2020 because of pandemic-related closures or restrictions. Foreign vessel visits fell by more than 40% in Majuro, Republic of the Marshall Islands, and over 50% in Suva, Fiji, dropping both ports out of the top 10. Other ports with significant decreases in visits that were probably driven by the pandemic include Manta, Ecuador (-78.4%), Kirkenes, Norway (-73.3%), Walvis Bay, Namibia (-51.3%), Port Louis, Mauritius (-48.7%), Abidjan, Côte d’Ivoire (-35.9%) and Pohnpei, Federated States of Micronesia (-43.8%).
The shifts in vessel visits were largely paralleled by changes in the hold sizes of visiting foreign fishing vessels between the two studies. (See Figure 3.) For instance, hold sizes of vessels visiting Nouadhibou increased three-fold in 2020 compared with 2017, while in Majuro, hold sizes declined by at least 60%.
Port rankings by foreign carrier vessel hold size also changed considerably between the study years, although Busan remained number one. Several ports that were listed in 2017, mainly in the Pacific, fell out of the top rankings in 2020 because of pandemic-related restrictions, while ports in the Philippines, Europe and Japan joined the top 10 in 2020. Additionally, total carrier hold size increased by 56.8% between the study years. (See Figure 4.)
Of the total vessel visits to ports (1,705,358) in 2020, most involved vessels entering domestic ports (1,655,429); only a small proportion (49,929) were vessels landing in foreign ports. The total vessel visit figure increased considerably from the 775,453 in the first study, probably as a result of advancements in AIS algorithm detection, particularly for domestic visits, which accounted for the vast majority of visits in both years, totalling 40,992 in 2017. As a result, just 2.9% of all 2020 port visits fell under the main provisions of the PSMA—which target foreign vessels—such as requiring the use of designated ports, advance notification of entry into port and risk assessment.7
Globally, European vessels made the most visits to foreign ports. Vessels from Asia and Latin America and the Caribbean made the second- and third-most foreign visits, respectively. (See Figure 5.) Vessels from the remaining regions made up less than 10% of the overall visits to foreign ports.
In relative terms, when considering foreign versus domestic visits by region, vessels from Latin America and the Caribbean (25.6%) made the most foreign port visits as a share of total visits, followed by those from the Southwest Pacific (15%), Africa (12.6%), the Near East (10.8%) and Europe (4.6%). (See Figure 6.) Asian (1.1%) and North American (0.8%) vessels had the lowest shares of foreign visits.
To assess the risk of IUU-caught fish passing through ports in each of the 140 coastal States, the researchers created an index that combines the level of vessel traffic at each port, as detected by AIS, with indicators of internal and external risk. (See Table 1.) For example, one indicator of internal risk is perceived levels of corruption, while visits by vessels likely to be engaged in IUU fishing is an indicator of external risk.
Table 1
Underlying indicators for the Port State IUU Risk Index
Category | AIS-based | Priority | Indicator |
---|---|---|---|
General | Yes | n/a | 1. Operates commercial ports in which fishing vessels do business |
Yes | High | 2. Number of commercial fishing ports | |
No | Medium | 3. Party to the PSMA | |
No | Medium | 4. Contracting party of cooperating non-contracting party of a regional fisheries management organization (RFMO) with a binding port State measures resolution and transparent compliance monitoring | |
Internal | No | High | 5. Compliance record with binding RFMO port State conservation and management measures |
No | Medium | 6. Transparency International’s Corruption Perceptions Index ranking | |
No | Low | 7. Status of the port State, identified by the EU* | |
No | Low | 8. Status of the port State, identified by the U.S.* | |
No | Medium | 9. Status of the port State, within any RFMO* | |
Yes | Medium | 10. Port visits by foreign fishing vessels | |
Yes | High | 11. Flag of Convenience State fishing vessels entering ports (plus vessels with an unknown Maritime Mobile Service Identity) | |
Yes | High | 12. Average flag State governance index of fishing vessels entering ports† | |
Yes | High | 13. IUU-listed fishing vessels entering ports | |
External | Yes | Medium | 14. EU-carded flag State fishing vessels entering ports |
Yes | Medium | 15. U.S.-carded flag State fishing vessels entering ports | |
Yes | Medium | 16. Average internal port State risk of fishing vessels entering ports (indicators 1-9) |
Note: “Fishing vessels” refers to fishing and carrier vessels.
* Status indicates whether the European Union (EU), United States (U.S.), or an RFMO mechanism has identified the port State as underperforming or issued a warning to that effect.
† Average Transparency International Corruption Perception Index scores for the flag States of foreign vessels that entered given ports.
Source: G. Hosch et al., “IUU Safe Havens or PSMA Ports: A Global Assessment of Port State Performance and Risk” (2023), https://doi.org/10.1016/j.marpol.2023.105751
The analysis scores and ranks port States based on internal, external and overall risk levels, with lower scores indicating lower risk. Internal risk scores capture the extent to which each country has measures in place to mitigate IUU risks, such as being a party to the PSMA. External risk scores reflect the IUU fishing histories of the vessels landing in each port. The overall risk score is an average of the internal and external scores.
The trend from 2017 to 2020 shows increasing risk in non-PSMA ports, which are experiencing more visits from foreign vessels flagged to States that are not parties to the agreement. Future analyses will better indicate whether the trends are significant.
Europe and North America were the the lowest-risk regions overall. (See Table 3.)
Table 2
Global port State risk by type, year and percentage change, 2017 to 2020
Internal risk score | External risk score | Overall risk score | |
---|---|---|---|
2017 | 2.299 | 2.479 | 2.404 |
2020 | 2.226 | 2.517 | 2.383 |
Difference (in %) | -1.8% | +1.0% | -0.5% |
Note: The overall risk score improved slightly (-0.5%) between studies, mainly because of improvements by States in mitigating the risk of IUU-caught fish landing in port (internal risk), while an increase in higher-risk vessel movements (external risk) posed the biggest threat.
Source: G. Hosch et al., “IUU Safe Havens or PSMA Ports: A Global Assessment of Port State Performance and Risk” (2023), https://doi.org/10.1016/j.marpol.2023.105751
Table 3
Risk level rankings, scores by risk type and region, 2017 and 2020
Rank | Internal Score | External Score | Overall risk score |
---|---|---|---|
1 | Europe (2.06) | Southwest Pacific (2.31) | North America (2.24) |
2 | North America (2.06) | North America (2.41) | Europe (2.27) |
3 | Africa (2.22) | Latin America & Caribbean (2.42) | Latin America & Caribbean (2.35) |
4 | Latin America & Caribbean (2.26) | Near East (2.47) | Africa (2.40) |
5 | Asia (2.48) | Europe (2.48) | Southwest Pacific (2.41) |
6 | Southwest Pacific (2.51) | Africa (2.54) | Asia (2.54) |
7 | Near East (2.68) | Asia (2.59) | Near East (2.65) |
Rank | Internal Score | External Score | Overall risk score |
---|---|---|---|
1 | North America (1.88) | Europe (2.34) | Europe (2.12) |
2 | Europe (1.89) | Southwest Pacific (2.36) | North America (2.13) |
3 | Africa (2.19) | North America (2.38) | Africa (2.36) |
4 | Asia (2.29) | Africa (2.54) | Southwest Pacific (2.40) |
5 | Latin America & Caribbean (2.38) | Asia (2.58) | Latin America & Caribbean (2.53) |
6 | Southwest Pacific (2.44) | Latin America & Caribbean (2.64) | Asia (2.43) |
7 | Near East (2.53) | Near East (2.74) | Near East (2.72) |
Notes: Risk varied between the 2017 and 2020 studies. Latin America and the Caribbean had the biggest change as a result of reduced mitigation measures at the State level (internal risk) and more high-risk vessels (external risk) landing in their ports. As of 2020, the Near East had the highest IUU risk in all risk categories. The internal risk score evaluates whether a country has measures in place to mitigate IUU risks. The external risk score evaluates risks associated with IUU fish-carrying vessels attempting to enter port.
Source: G. Hosch et al., “Any Port in a Storm: Vessel Activity and the Risk of IUU-Caught Fish Passing Through the World’s Most Important Fishing Ports” (2019), https://cbe.miis.edu/cgi/viewcontent.cgi?article=1097&context=joce; G. Hosch et al., “IUU Safe Havens or PSMA Ports: A Global Assessment of Port State Performance and Risk” (2023), https://doi.org/10.1016/j.marpol.2023.105751
Table 4
Top 3 highest- and lowest-risk port States within each region by risk type, 2020
Region | Internal risk score | External risk score | Overall risk score |
---|---|---|---|
Africa | São Tomé e Principe Senegal Gambia |
Kenya Gambia Tanzania |
Gambia Kenya Cape Verde |
Asia | Maldives Sri Lanka Japan and Singapore |
Sri Lanka Myanmar North Korea |
Sri Lanka Maldives Singapore |
Europe | Lithuania Belgium Finland |
Finland Estonia Cyprus and Germany |
Finland Belgium Cyprus and Estonia |
Latin America & the Caribbean | Barbados Bahamas Cuba |
Bahamas Mexico Brazil and Trinidad and Tobago |
Bahamas Nicaragua Trinidad and Tobago |
Near East | Oman Libya Egypt and Lebanon |
Djibouti Iran Lebanon and UAE |
Djibouti Oman Libya |
North America | Canada | Canada | Canada |
Southwest Pacific | Cook Islands Australia |
Cook Islands Palau |
Cook Islands Palau |
New Zealand | New Zealand | Tonga and Vanuatu | Tonga and Vanuatu |
Region | Internal risk score | External risk score | Overall risk score |
---|---|---|---|
Africa | Democratic Republic of Congo (DRC) Cameroon Republic of Congo |
Sudan São Tomé e Principe Ghana |
DRC Nigeria Guinea-Bissau |
Asia | North Korea China Vietnam |
China Thailand Philippines |
China Vietnam Malaysia |
Europe | Russia France Israel |
Montenegro Russia Croatia |
Russia Israel Montenegro |
Latin America & the Caribbean | Suriname Dominican Republic Columbia |
El Salvador Saint Kitts and Nevis Barbados, Dominican Republic, Guyana and Saint Lucia |
Dominican Rep. Columbia Saint Lucia |
Near East | Bahrain UAE Qatar |
Kuwait Qatar Saudi Arabia |
Qatar Bahrain Kuwait |
North America | USA | USA | USA |
Southwest Pacific | Papua New Guinea (PNG) Kiribati Federated States of Micronesia (FSM) and Solomon Islands |
Samoa Kiribati Tuvalu and New Zealand |
Kiribati PNG Solomon Islands and FSM |
Notes: State rankings apply only within individual regions. Where more than one State is listed, the scores for all listed States were equal.
Sources: G. Hosch et al., “IUU Safe Havens or PSMA Ports: A Global Assessment of Port State Performance and Risk” (2023), https://doi.org/10.1016/j.marpol.2023.105751
The researchers used the 2020 risk score data to conduct a statistical analysis of potentially significant relationships between key variables: internal and external port State risk, internal and external risk scores between parties and non-parties to the PSMA, port States’ risk and their Corruption Perceptions Index (CPI) scores, vessel flag State and port State CPI scores, and the overall port State IUU risk and per capita gross national income. Their analysis found that:
A key provision within the PSMA is for parties to designate ports where foreign vessels must land their catch. Designated ports have the appropriate facilities to conduct a risk assessment of foreign vessels requesting entry and require that vessels wishing to land supply all the information necessary to substantiate their catch.
The U.N. Food and Agriculture Organization’s database of publicly hosted PSMA applications for designated ports showed that 32 States, including 18 in the EU, had selected and listed their designated ports as of 2020. For this study, the researchers analyzed those States’ designated port use and found that implementation varied substantially.8
The percentage of foreign vessels calling to non-designated EU ports in 2020 was 46.6%, or nearly 1 in 2. (See Table 5.) The lowest visits to designated ports were in Belgium (1.4%), France (16.8%), Greece (17.4%) and Portugal (25%). By comparison, Bulgaria and Lithuania used designated ports 100% of the time.
Table 5
Designated port entry statistics for 18 EU countries, 2020
EU port State | Total no. of foreign (non-EU) vessel visits | No. of foreign (non-EU) vessel visits to designated ports | (Non-EU) foreign vessel visits to designated ports (in %) |
---|---|---|---|
Belgium | 147 | 2 | 1.4% |
Bulgaria | 1 | 1 | 100.0% |
Croatia | 2 | 1 | 50.0% |
Cyprus | 0 | - | - |
Denmark | 1,167 | 510 | 43.7% |
Finland | 0 | - | - |
France | 95 | 16 | 16.8% |
Germany | 45 | 23 | 51.1% |
Greece | 23 | 4 | 17.4% |
Ireland | 27 | 26 | 96.3% |
Italy | 28 | 26 | 92.9% |
Latvia | 9 | 8 | 88.9% |
Lithuania | 43 | 43 | 100.0% |
Netherlands | 275 | 269 | 97.8% |
Poland | 126 | 118 | 93.7% |
Portugal | 8 | 2 | 25.0% |
Romania | 0 | - | - |
Sweden | 107 | 95 | 88.8% |
Total | 2,103 | 1,144 | 54.4% |
Note: European Union law does not require vessels from EU States to use designated ports.
Source: G. Hosch et al., “IUU Safe Havens or PSMA Ports: A Global Assessment of Port State Performance and Risk” (2023), https://doi.org/10.1016/j.marpol.2023.105751
Among non-EU port States, 39.6% of foreign vessels did not use designated ports, with the lowest use of designated ports in Japan (38.1%), Norway (50.9%) and Iceland (66.5%), and the highest (100%) in Republic of The Gambia, Ghana, Kenya, Republic of The Maldives, São Tomé e Principe, Seychelles and Togo. (See Table 6.)
These findings suggest that developing states are implementing the designated port provision more consistently and effectively than developed nations. However, developing countries may also have fewer facilities for offloading catch and lower levels of visits, which may be a factor in their higher use of designated ports.
Table 6
Designated port entry statistics for 14 non-EU States, 2020
Port State | No. of FVV | To designated ports | % |
---|---|---|---|
Australia | 63 | 55 | 87.3% |
Chile | 282 | 261 | 92.6% |
Republic of The Gambia | 30 | 30 | 100.0% |
Ghana | 170 | 170 | 100.0% |
Iceland | 258 | 217 | 66.5% |
Japan | 1,554 | 528 | 38.1% |
Kenya | 10 | 10 | 100.0% |
Republic of The Maldives | 16 | 16 | 100.0% |
New Zealand | 134 | 123 | 91.8% |
Norway | 1,738 | 1,059 | 60.9% |
São Tomé e Principe | 2 | 2 | 100.0% |
Seychelles | 343 | 343 | 100.0% |
Togo | 58 | 58 | 100.0% |
Vanuatu | 59 | 49 | 83.1% |
Total | 4,717 | 2,849 | 60.4% |
Notes: Designated port use outside of the EU improved slightly over the time covered by the 2020 data set, from 54.4% to 60.4%, with most developing States using them 100% of the time.
Source: G. Hosch et al., “IUU Safe Havens or PSMA Ports: A Global Assessment of Port State Performance and Risk” (2023), https://doi.org/10.1016/j.marpol.2023.105751
Parties to the PSMA have made progress minimizing the risk of IUU-caught fish landing in port. However, countries that either are not parties to the PSMA or have no PSMs in place face growing pressure as foreign vessels flagged to non-party nations increasingly seek access to ports with no controls. To better limit highrisk vessels’ access to their ports, lower-performing nations that already adhere to the PSMA must more stringently apply its provisions, and more non-party States must adopt and implement the agreement. In support of this goal, Pew offers four recommendations:
Although global port State risk improved slightly in 2020 compared with 2017, more progress is needed to implement PSMA provisions, especially designated port use, more effectively. As high-risk vessels seek ports with lax port controls, the tracking of vessels flagged to non-parties to the PSMA is important for assessing risk.
Additionally, domestic checks are vital because foreign vessel visits make up less than 3% of total visits. States need to prioritize more effective port controls for domestic fleets that meet the same standards applied to foreign vessels. Finally, being party to the PSMA or implementing effective PSMs is a useful deterrent against the risk of IUU-caught fish entering the market. Overall, this study demonstrates that the PSMA is highly effective and highlights the need for full global implementation of the agreement to minimize high-risk vessels’ opportunities to land illegal catch—and ultimately to end IUU fishing around the world.
This study builds on two previous assessments: Poseidon’s 2015, “Fish Landings at the World’s Commercial Fishing Ports,” which ranked the world’s top 100 ports by volume of commercial fish landed by industrialscale vessels, and the 2019 study by OceanMind and Poseidon, “Any Port in a Storm: Vessel Activity and the Risk of IUU-Caught Fish Passing Through the World’s Most Important Fishing Ports,” which combined AIS and other data to develop indicators of port risk.
For this latest study, Poseidon and Global Fishing Watch analysed AIS records from 2020 and created a global data set of 166,514 anchorage points. They then aggregated those points into ports and identified when a fishing vessel and a carrier vessel “enters” an anchorage—having an AIS position within 3 km of an anchorage point—and “exits”—having a position more than 4 km from an anchorage point. To avoid recording port entries in cases when vessels simply transited near anchorages (meeting the basic entry and exit criteria), two additional events were recorded: anchorage stops and anchorage gaps. A port stop begins when a vessel is within 3 km of an anchorage point (“in port”) with a speed less than 0.2 knots and ends when the vessel speed exceeds 0.5 knots. These stops were algorithmically grouped to represent port visits and linked to locations that represent commonly used ports and anchorages.
Given the variable satellite coverage and AIS use and data quality, this analysis does not capture every fishing vessel or even all of those fitted with functioning AIS transponders.
Trygg Mat Tracking carried out a quality assurance review of a subset of the data for ports and anchorages. That review identified that some events were inappropriately associated with a specific anchorage or port, and researchers may have overcounted port visits at the State level. The research team corrected some of these errors, but overall, the issues probably had a minimal impact on the global analysis because their effects tend to cancel out over larger areas.
The ranking of ports, especially those based on vessel hold sizes, must be used carefully and for comparative purposes only, because the values are estimates. The rankings based on hold size are of great interest because they represent the aggregate potential for loading, unloading or transshipment of fish, but they should not be interpreted as estimates of the volume of landings or transshipment in port.
Of the 153 coastal States initially selected for this study, researchers eliminated 13 because they detected no AIS-fitted fishing vessels entering ports: Belize, Bosnia and Herzegovina, Brunei Darussalam, Cambodia, Comoros, Eritrea, Haiti, Jordan, Monaco, Nauru, Niue, Syria and Timor-Leste. Of the 140 coastal States identified as operating fishing ports based on AIS data, two did not have any visits by foreign AIS-detected vessels (Bahrain and Nicaragua). Some of the eliminated coastal States—for example, Cambodia and Comoros—are clearly port States, and their exclusion demonstrates some of the limitations associated with the low rate of AIS technology use throughout fishing fleets globally.
The non-AIS source data used for the risk indicators is of reliable quality, as determined by the processes applied by the individual organizations producing and hosting the data. When the researchers found discrepancies between the style or content of information from different sources, they took a conservative bias to ensure that countries received the most accurate possible scores.