Quota Management System Explained

The Quota Management System (QMS) is a type of individual fishing quota that is used in New Zealand to manage fish stocks.

New Zealand fishing industry

Seafood is one of New Zealand's largest export markets, with 85% of catches being exported. Over 90% of the total revenue raised by the country's fishing industry comes from exported stocks, raising NZ$3 billion annually/> The most valuable species is the hoki, Macruronus novaezelandiae.

For the purposes of QMS, New Zealand's exclusive economic zone (EEZ) is divided into ten quota management regions. A separate quota is defined for each species in each region, depending on the species' distributions, ranging from a single fishing quota market for the hoki to eleven for the abalone Haliotis iris.

History

New Zealand is "the world leader in implementing IFQs". QMS was introduced by the Fisheries Amendment Act 1986,[1] initially covering 26 marine species.[2] The following year, it covered 30 species, and by 2005, it covered 93 species,[2] out of the 140 commercial species in New Zealand's exclusive economic zone (EEZ).[1] These comprised 550 separate fishing quota markets.[2] QMS will eventually be extended to cover all living marine resources that are commercially exploited, including invertebrates, but excluding marine mammals.[2]

Total allowable commercial catch

Species code Name TACC (kg)[3]
ANC align='right'560,000
ANG Freshwater eels align='right'420,150
BAR align='right'32,672,461
BCO align='right'2,681,496
BIG align='right'714,000
BNS align='right'2,335,000
BUT align='right'162,000
BWS align='right'1,860,000
BYA align='right'16,000
BYX align='right'2,995,700
CDL align='right'2,548,000
CHC align='right'48,000
COC align='right'3,214,000
CRA align='right'2,792,839
DAN align='right'203,000
DSU align='right'8,000
ELE align='right'1,283,500
EMA align='right'11,550,000
FLA align='right'5,418,800
FRO align='right'4,019,000
GAR align='right'50,000
GLM align='right'1,720,000
GMU align='right'1,005,601
GSC align='right'419,000
GSH align='right'3,012,000
GSP align='right'1,780,000
GUR align='right'5,181,187
HAK align='right'13,211,143
HOK align='right'120,010,000
HOR align='right'29,000
HPB align='right'2,181,600
JDO align='right'1,140,400
JMA align='right'60,547,234
KAH align='right'2,728,000
KBB align='right'1,509,600
KIC align='right'90,000
KIN align='right'200,000
KWH align='right'67,000
LDO align='right'783,000
LEA align='right'1,431,000
LFE align='right'82,000
LIN align='right'22,226,000
MAK align='right'406,000
MDI align='right'160,000
MMI align='right'180,000
MOK align='right'608,112
MOO align='right'527,000
OEO align='right'18,860,000
ORH align='right'8,221,000
OYS align='right'15,544,000
PAD align='right'765,000
PAR align='right'84,000
PAU align='right'1,058,499
PDO align='right'629,000
PHC align='right'40,300
PIL align='right'2,485,000
POR align='right'71,000
POS align='right'215,000
PPI align='right'204,000
PRK align='right'36,000
PTO align='right'49,500
PZL align='right'31,500
QSC align='right'380,000
RBM align='right'980,000
RBT align='right'5,050,000
RBY align='right'812,000
RCO align='right'8,278,385
RIB align='right'1664,000
RSK align='right'1,986,000
RSN align='right'146,000
SAE align='right'725,000
SBW align='right'43,408,000
SCA align='right'841,000
SCC align='right'35,000
SCH align='right'3,436,100
SCI align='right'1,291,000
SFE align='right'347,000
SKI align='right'1,060,394
SNA align='right'6,357,300
SPD align='right'12,660,000
SPE align='right'2,170,000
SPO align='right'1,919,064
SPR align='right'450,000
SQU align='right'127,332,381
SSK align='right'849,000
STA align='right'5,456,400
STN align='right'413,000
SUR align='right'1,147,000
SWA align='right'1,0380,201
SWO align='right'885,000
TAR align='right'6,439,173
TOR align='right'116,000
TRE align='right'3,933,103
TRU align='right'144,000
TUA align='right'43,000
WAR align='right'4,512,358
WWA align='right'3,735,000
YEM align='right'68,000
YFN align='right'263,000

See also

External links

Notes and References

  1. Book: James MacGregor, Katia Karousakis & Ben Groom . Using Economic Incentives to Conserve CITES-listed Species. A Scoping Study on ITQs for Sturgeon in the Caspian Sea . IIED . 978-1-84369-529-5 .
  2. Book: Wallace E. Oates . Wallace E. Oates . 2006 . The RFF Reader in Environmental and Resource Policy . 2nd . . 978-1-933115-17-7 . Catching market efficiencies: quota-based fisheries management . James Sanchirico & Richard Newell . 131–135 .
  3. Web site: Stock Status . . January 11, 2012.