1887

OECD-FAO Agricultural Outlook 2017-2026

image of OECD-FAO Agricultural Outlook 2017-2026

Over the ten-year Outlook period, agricultural markets are projected to remain weak, with growth in China weakening and biofuel policies having less impact on markets than in the past. Future growth in crop production will be attained mostly by increasing yields, and growth in meat and dairy production from both higher animal stocks and improved yields. Agricultural trade is expected to grow more slowly, but remain less sensitive to weak economic conditions than other sectors. These demand, supply and trade pressures are all evident in Southeast Asia, where this report identifies scope to improve agricultural productivity sustainably. Real prices are expected to remain flat or decline for most commodities.

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From Chapter: Statistical Annex
.

Table A.30.1 - Fish and seafood projections: Production and trade

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OECD-FAO Agricultural Outlook 2017-2026 - © OECD 2017

‌A.30.1Fish and seafood projections: Production and trade
A.30.1Fish and seafood projections: Production and trade
  Calendar year
‌‌
‌PRODUCTION (kt)‌
Growth (%) 3
IMPORTS (kt)
Growth (%) 3
EXPORTS (kt)
Growth (%) 3
Average
2014-16est
‌2026‌
‌2007-16‌
‌2017-26‌
Average
2014-16est
‌2026‌
‌2007-16‌
‌2017-26‌
Average
2014-16est
‌2026‌
‌2007-16‌
‌2017-26‌
WORLD
168 293
 
193 875
 
2.40
 
1.09
 
38 868
 
44 006
 
1.41
 
1.24
 
38 967
 
44 006
 
2.03
 
1.49
 
DEVELOPED COUNTRIES
29 154
 
29 684
 
0.30
 
0.07
 
20 787
 
22 722
 
0.18
 
0.88
 
12 820
 
14 175
 
1.55
 
0.99
 
NORTH AMERICA
6 488
 
6 608
 
0.92
 
0.00
 
5 811
 
6 902
 
1.20
 
1.50
 
2 861
 
3 365
 
0.94
 
1.51
 
Canada
1 032
 
1 050
 
-1.29
 
-0.37
 
643
 
607
 
0.81
 
-1.35
 
819
 
760
 
-1.02
 
-2.05
 
United States
5 456
 
5 557
 
1.38
 
0.07
 
5 168
 
6 295
 
1.25
 
1.81
 
2 042
 
2 605
 
1.82
 
2.76
 
EUROPE
16 933
 
17 796
 
0.98
 
0.36
 
10 313
 
10 880
 
-0.34
 
0.56
 
8 594
 
9 250
 
1.97
 
0.78
 
European Union
6 645
 
7 043
 
-0.07
 
0.42
 
8 105
 
8 779
 
0.68
 
0.62
 
2 331
 
2 316
 
0.75
 
0.82
 
Norway
3 668
 
4 039
 
1.17
 
0.87
 
303
 
266
 
3.32
 
-1.37
 
2 839
 
3 237
 
1.40
 
0.93
 
Russia
4 567
 
4 729
 
3.16
 
0.14
 
890
 
801
 
-6.34
 
1.40
 
1 973
 
2 267
 
4.02
 
1.05
 
OCEANIA DEVELOPED
775
 
809
 
-0.74
 
0.28
 
523
 
575
 
1.09
 
0.89
 
483
 
467
 
-0.11
 
0.00
 
Australia
243
 
275
 
0.14
 
0.48
 
470
 
524
 
1.06
 
0.98
 
75
 
74
 
1.74
 
-0.27
 
New Zealand
532
 
534
 
-1.14
 
0.18
 
53
 
51
 
1.40
 
0.00
 
408
 
393
 
-0.45
 
0.05
 
OTHER DEVELOPED 1
4 957
 
4 472
 
-2.30
 
-0.95
 
4 140
 
4 365
 
0.03
 
0.74
 
882
 
1 093
 
0.63
 
1.74
 
Japan
4 200
 
3 697
 
-2.56
 
-1.08
 
3 587
 
3 629
 
-0.43
 
0.23
 
672
 
862
 
1.41
 
1.84
 
South Africa
583
 
563
 
-1.54
 
-0.84
 
274
 
415
 
9.85
 
5.68
 
164
 
193
 
0.47
 
1.28
 
DEVELOPING COUNTRIES
139 139
 
164 190
 
2.89
 
1.28
 
18 081
 
21 284
 
3.01
 
1.65
 
26 147
 
29 831
 
2.27
 
1.74
 
AFRICA
9 940
 
11 165
 
3.83
 
1.20
 
4 072
 
5 521
 
1.56
 
2.83
 
2 254
 
2 158
 
3.75
 
-0.03
 
NORTH AFRICA
3 138
 
3 615
 
4.20
 
1.53
 
770
 
1 054
 
4.81
 
1.87
 
660
 
615
 
4.80
 
-0.56
 
Algeria
98
 
101
 
-4.39
 
0.25
 
76
 
80
 
10.58
 
2.14
 
2
 
2
 
-5.86
 
0.00
 
Egypt
1 516
 
1 934
 
5.08
 
2.69
 
466
 
716
 
3.97
 
1.97
 
40
 
36
 
29.52
 
..
 
SUB-SAHARAN AFRICA
6 802
 
7 550
 
3.67
 
1.04
 
3 302
 
4 467
 
0.92
 
3.07
 
1 594
 
1 543
 
3.33
 
0.19
 
Ethiopia
47
 
60
 
16.81
 
3.05
 
3
 
3
 
18.41
 
0.00
 
2
 
2
 
8.40
 
0.00
 
Ghana
385
 
406
 
1.76
 
0.36
 
341
 
451
 
1.09
 
2.48
 
34
 
34
 
1.39
 
0.00
 
Mozambique
281
 
405
 
12.97
 
3.00
 
56
 
63
 
17.16
 
1.73
 
21
 
20
 
7.11
 
..
 
Nigeria
1 040
 
1 164
 
5.77
 
1.29
 
1 008
 
1 395
 
-5.22
 
3.05
 
62
 
60
 
18.86
 
0.00
 
Tanzania
402
 
454
 
0.63
 
0.81
 
22
 
32
 
16.92
 
3.36
 
76
 
26
 
-6.11
 
-9.15
 
Zambia
105
 
138
 
3.22
 
2.33
 
83
 
113
 
46.20
 
2.00
 
1
 
1
 
-10.48
 
0.00
 
LATIN AMERICA and CARIBBEAN
13 710
 
13 932
 
-3.42
 
-0.74
 
2 477
 
3 376
 
5.12
 
3.07
 
4 256
 
4 522
 
0.98
 
0.82
 
Argentina
821
 
900
 
-1.92
 
1.07
 
64
 
65
 
3.36
 
0.00
 
614
 
679
 
-2.26
 
1.84
 
Brazil
1 297
 
1 750
 
2.01
 
3.06
 
726
 
935
 
7.94
 
3.24
 
42
 
52
 
-3.99
 
0.09
 
Chile
3 087
 
3 148
 
-5.08
 
0.23
 
122
 
183
 
10.03
 
3.00
 
1 453
 
1 683
 
2.34
 
2.06
 
Mexico
1 685
 
1 632
 
0.07
 
0.26
 
493
 
878
 
7.27
 
4.78
 
182
 
153
 
0.07
 
-1.31
 
Peru
4 211
 
3 657
 
-6.43
 
-3.91
 
127
 
130
 
8.94
 
0.00
 
583
 
392
 
-0.96
 
-4.06
 
ASIA and PACIFIC
115 489
 
139 093
 
3.83
 
1.53
 
11 533
 
12 387
 
3.14
 
0.83
 
19 637
 
23 151
 
2.41
 
2.12
 
China 2
64 860
 
81 461
 
4.44
 
1.81
 
3 428
 
2 486
 
2.10
 
-3.19
 
7 867
 
9 963
 
1.84
 
3.31
 
India
10 091
 
11 437
 
4.15
 
1.15
 
34
 
58
 
10.21
 
3.00
 
1 012
 
794
 
6.93
 
-1.03
 
Indonesia
10 813
 
12 732
 
7.05
 
1.42
 
148
 
218
 
0.51
 
6.63
 
1 293
 
1 343
 
4.97
 
-0.25
 
Korea
2 145
 
2 128
 
-1.81
 
-0.28
 
1 659
 
1 787
 
1.40
 
0.90
 
652
 
550
 
0.48
 
-1.84
 
Philippines
2 947
 
3 371
 
-1.27
 
1.31
 
414
 
470
 
10.99
 
0.70
 
295
 
299
 
2.97
 
0.58
 
Thailand
2 578
 
2 750
 
-3.70
 
0.44
 
1 679
 
2 127
 
1.39
 
2.36
 
2 042
 
2 670
 
-3.10
 
2.50
 
Viet Nam
6 185
 
7 185
 
4.81
 
1.51
 
335
 
413
 
14.44
 
2.00
 
2 687
 
3 382
 
7.88
 
2.81
 
LEAST DEVELOPED COUNTRIES (LDC)
12 253
 
14 288
 
3.53
 
1.41
 
1 062
 
1 413
 
10.13
 
3.47
 
1 528
 
1 605
 
3.11
 
1.48
 
OECD
31 211
 
31 694
 
-0.81
 
0.09
 
21 101
 
23 493
 
0.91
 
0.96
 
12 949
 
14 163
 
1.32
 
0.99
 
BRICS
81 398
 
99 941
 
4.23
 
1.65
 
5 352
 
4 695
 
1.12
 
-0.84
 
11 058
 
13 269
 
2.53
 
2.53
 
..
Not available
Note: Fish: The term “fish” indicates fish, crustaceans, molluscs and other aquatic animals, but excludes aquatic mammals, crocodiles, caimans, alligators and aquatic plants. Imports and exports refer to trade of food fish i.e. for human consumption. All data are in live weight equivalent.
Average 2014-16est: Data for 2016 are estimated.
Disclaimer: http://oe.cd/disclaimer
1.
Includes Israel and also transition economies: Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, Armenia, Azerbaijan and Georgia.
2.
Refers to mainland only. The economies of Chinese Taipei, Hong Kong (China) and Macau (China) are included in the Other Asia Pacific aggregate.
3.
Least-squares growth rate (see glossary).
Source: OECD/FAO (2017), “OECD-FAO Agricultural Outlook”,OECD Agriculture statistics(database). doi:dx.doi.org/10.1787/agr-outl-data-en

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