| Literature DB >> 25793775 |
Dyhia Belhabib1, U Rashid Sumaila2, Vicky W Y Lam1, Dirk Zeller1, Philippe Le Billon3, Elimane Abou Kane4, Daniel Pauly1.
Abstract
We compare the performance of European Union (EU) and Chinese fisheries access agreements with West African countries in terms of illegal and unreported fishing, economic equity, and patterns of exploitation. Bottom-up re-estimations of catch reveal that the EU (1.6 million t•year(-1)) and China (2.3 million t•year(-1)) report only 29% and 8%, respectively, of their estimated total catches (including estimated discards whenever possible) from West African countries between 2000 and 2010. EU catches are declining, while Chinese catches are increasing and are yet to reach the historic maximum level of EU catches (3 million t•year(-1) on average in the 1970s-1980s). The monetary value of EU fishing agreements, correlated in theory with reported catches, is straightforward to access, in contrast to Chinese agreements. However, once quantified, the value of Chinese agreements is readily traceable within the African economy through the different projects they directly cover, in contrast to the funds disbursed [to host governments] by the EU. Overall, China provides resources equivalent to about 4% of the ex-vessel value [value at landing] of the catch taken by Chinese distant-water fleets from West African waters, while the EU pays 8%. We address the difficulties of separating fees directly related to fishing from other economic or political motivations for Chinese fees, which could introduce a bias to the present findings as this operation is not performed for EU access fees officially related to fishing. Our study reveals that the EU and China perform similarly in terms of illegal fishing, patterns of exploitation and sustainability of resource use, while under-reporting by the EU increases and that by China decreases. The EU agreements provide, in theory, room for improving scientific research, monitoring and surveillance, suggesting a better performance than for Chinese agreements, but the end-use of the EU funds are more difficult, and sometime impossible to ascertain.Entities:
Mesh:
Year: 2015 PMID: 25793775 PMCID: PMC4368511 DOI: 10.1371/journal.pone.0118351
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Exclusive Economic Zone waters of the West African countries considered here, also showing the 2000–2010 average annual catch and landed value of their marine fisheries, incl. distant-water fleets.
Average annual reconstructed and reported catches (2000–2010) by the EU and China from West African waters (t·103).
| Country | Reconstructed catch (t·103) | Reference | Reported catch (t·103) | ||
|---|---|---|---|---|---|
| EU | China | EU | China | ||
| Morocco | 522.4 | 595.7 | [ | 168.8 | 42.0 |
| Mauritania | 618.7 | 841.5 | [ | 143.0 | 91.2 |
| Senegal | 85.7 | 42.2 | [ | 23.8 | 0.9 |
| Cape Verde | 19.1 | 13.9 | [ | 6.2 | 1.4 |
| The Gambia | 20.8 | 10.1 | [ | 6.7 | 0.8 |
| Guinea Bissau | 73.4 | 88.5 | [ | 21.8 | 7.5 |
| Guinea | 333.3 | 49.1 | [ | 106.8 | 2.9 |
| Sierra Leone | 18.5 | 19.7 | [ | 5.9 | 0.2 |
| Liberia | 31.3 | 23.3 | [ | 4.7 | 0.8 |
| Côte d’Ivoire | 3.0 | 84.8 | [ | 0.9 | 1.3 |
| Ghana | 1.4 | 11.9 | [ | 0.0 | 1.2 |
| Togo | 11.0 | 17.1 | [ | 3.6 | 0.5 |
| Benin | 1.2 | 2.3 | [ | 1.2 | 0.4 |
| Nigeria | 0.0 | 168.5 | [ | 0.0 | 0.0 |
| Cameroon | 0.0 | 9.7 | [ | 0.0 | 0.2 |
| Equatorial Guinea | 9.0 | 4.9 | [ | 2.9 | 0.5 |
| Sao Tome & Prin. | 6.6 | 0.2 | [ | 2.1 | <0.1 |
| Gabon | 25.2 | 55.2 | [ | 8.1 | 4.7 |
| Congo (Brazz.) | 0.0 | 23.5 | [ | 0.0 | 2.1 |
| Congo (ex-Zaire) | 0.0 | 11.7 | [ | 0.0 | 1.1 |
| Angola | 56.3 | 186.9 | [ | 17.8 | 19.7 |
| Namibia | NA | NA | NA | NA | NA |
| Total | 1,836.9 | 2,251.0 | 524.3 | 179.2 | |
*No documented fishing operations by the EU;
** We could not retrace Chinese legal catches from Namibia since all foreign vessels operating in Namibia have to be flagged to Namibia. Having vessel information would have allowed however the identification of the beneficial ownership of vessels; evidence of reflagging to China between 2000 and 2010 was scarce and was not sufficient to estimates the legal catches of Chinese vessels reflagged to Namibia.
Examples of computations of amount of Chinese payments to West African countries in exchange for fishing access.
| Item | Country | Methods and references |
|---|---|---|
| Port infrastructure | Mauritania | Mauritania received a payment of 282 million USD [ |
| Construction of a dam and stadium | Cape Verde | China funded the construction of a dam and a stadium, whose value were estimated as Euro 3.5 million and 12 million USD, as assessed by Escobar and Kimbamba Simões [ |
| Fishing ropes and net processing | Ghana | China paid 9.1 million USD for the project for one year [ |
| Construction of national assembly and senate | Gabon | China invested in the construction of the national assembly building (73 million USD) and the senate (1.2 million USD) in 2004 [ |
*We found no document stating explicitly that these projects were to compensate for fishing access. However, the Chinese National Fishing Company (CNFC) was directly involved in these projects and, outside of fisheries, we know of no Chinese involvement in the economy of Cape Verde.
Fig 2Total catches by Chinese and EU fleets from the waters of West Africa, 1950–2010.
Sierra Lone claimed its EEZ in 1971, Morocco in 1981, Equatorial Guinea and Gabon in 1984, Congo (ex-Zaire) in 1992 and Cameroon in 2000. The 16 other West African countries claimed their EEZ between 1976 and 1980, and hence the location of the transition zone (shaded) from ‘unregulated; to ‘illegal’ catches in the lower panel.
Estimated average landed value, access value, official and actual compensation by Europe and China from West African countries for the period between 2000 and 2010, in 2013 USD x 106.
| EU landed value(USD2013 x 106) | China landed value(USD2013 x 106) | Total value (USD2013 x 106) | Access value (USD2013 x 106) | Value of reported landings(USD2013 x 106) | Official compensation (%) | Actual compensation (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Legal | Illegal | Legal | Illegal | EU | China | EU | China | EU | China | EU | China | EU | China | |
| Morocco | 2,592.6 | 0.0 | 1,758.9 | 1,238.6 | 2,592.6 | 2,997.5 | 180.3 | 9.2 | 844.9 | 212.0 | 21.0 | 4.0 | 7.0 | 0.3 |
| Mauritania | 295.7 | 115.7 | 508.2 | 54.7 | 411.5 | 562.9 | 95.2 | 102.0 | 95.3 | 122.1 | 100.0 | 83.0 | 23.1 | 18.1 |
| Senegal | 50.9 | 10.0 | 5.8 | 28.3 | 60.9 | 34.1 | 11.9 | 0.7 | 19.2 | 0.8 | 62.0 | 91.0 | 19.5 | 2.0 |
| The Gambia | 22.3 | 0.0 | 6.9 | 3.9 | 22.3 | 10.7 | 0.2 |
| 7.4 | 0.9 | 3.0 | 0.9 | ||
| Cape Verde | 277.4 | 0.0 | 175.7 | 32.7 | 277.4 | 208.4 | 0.3 | 2.0 | 91.6 | 21.2 | 0.3 | 9.0 | 0.1 | 1.0 |
| Guinea Bissau | 25.4 | 2.2 | 23.9 | 10.0 | 27.6 | 34.0 | 5.7 | 2.9 | 8.6 | 3.0 | 66.0 | 97.0 | 20.5 | 8.5 |
| Guinea | 157.4 | 1.3 | 10.9 | 11.8 | 158.7 | 22.7 | 1.0 | 1.3 | 49.2 | 1.3 | 2.0 | 95.0 | 0.6 | 5.6 |
| Sierra Leone | 28.0 | 0.0 | 2.2 | 27.6 | 28.0 | 29.8 | 0.0 | 0.2 | 8.8 | 0.5 | 50.0 | 0.0 | 0.8 | |
| Liberia | 17.8 | 19.1 | 9.1 | 21.6 | 36.9 | 30.6 | 0.0 |
| 5.9 | 1.0 | 0.0 | |||
| Côte d'Ivoire | 4.3 | 0.0 | 16.3 | 126.8 | 4.3 | 143.1 | 0.4 | 0.7 | 1.4 | 1.9 | 31.0 | 36.0 | 10.3 | 0.5 |
| Ghana | 0.0 | 1.6 | 12.7 | 1.6 | 1.6 | 14.3 | 0.0 | 11.2 | 0.0 | 13.7 | 82.0 | 0.0 | 78.2 | |
| Togo | 4.6 | 0.0 | 1.9 | 5.3 | 4.6 | 7.3 | 0.0 |
| 1.5 | 0.2 | 0.0 | 83.6 | 0.0 | 2.5 |
| Benin | 0.3 | 0.0 | 0.6 | 0.0 | 0.3 | 0.6 | 0.0 |
| 0.1 | 0.1 | 0.0 | 0.0 | ||
| Nigeria | 0.0 | 0.0 | 0.0 | 160.9 | 0.0 | 160.9 |
| 0.0 | 0.0 | |||||
| Cameroon | 0.0 | 0.0 | 2.6 | 14.1 | 0.0 | 16.7 | 0.0 | 10.8 | 0.0 | 0.3 | 0.3 | 64.7 | ||
| Equatorial Guinea | 20.3 | 0.0 | 11.2 | 1.8 | 20.3 | 12.9 | 0.2 |
| 7.5 | 1.3 | 3.0 | 1.0 | ||
| Gabon | 8.6 | 0.0 | 13.4 | 5.8 | 8.6 | 19.2 | 0.7 | 10.3 | 2.8 | 10.6 | 24.0 | 97.0 | 7.9 | 53.4 |
| Sao Tome & Prin. | 5.5 | 0.0 | 0.2 | 0.0 | 5.5 | 0.2 | 0.5 |
| 1.8 | 0.0 | 27.0 | 8.6 | ||
| Congo (Brazzaville) | 0.0 | 0.0 | 98.0 | 36.9 | 0.0 | 134.9 |
| 0.0 | 10.4 | |||||
| Congo (ex-Zaire) | 0.0 | 0.0 | 1.3 | 0.3 | 0.0 | 1.6 |
| 0.0 | 0.2 | |||||
| Angola | 37.9 | 1.8 | 250.5 | 31.2 | 39.7 | 281.6 | 10.9 | 25.3 | 20.8 | 23.2 | 52.0 | 108.8 | 27.0 | 9.0 |
| Namibia | 16.4 | 0.0 | 0.0 | 0.0 | 16.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
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| - | - | - | - |
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| 3,549.1 | 151.8 |
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| 3,717.2 |
| 307.2 | 176.7 | 1,166.8 |
| 26.0 |
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a Evidence of an agreement was found, but its value could be not be estimated;
b sum of values for countries that have both catch and compensation values.