Price discrimination and market power in the international fertiliser market: empirical evidence for exports from Russia
The production capacity of the international fertiliser industry is concentrated and located in few countries. Market structure of the Russian export market for potash fertilizer. Relationships between the estimated parameters and the market situation.
| Рубрика | Экономика и экономическая теория |
| Вид | статья |
| Язык | английский |
| Дата добавления | 05.05.2022 |
| Размер файла | 288,6 K |
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0.622
9.227
0.712
0.045
0.023
0.151
0.904
France
17
4.181
0.433
11.548
0.953
0.045
0.023
0.154
0.915
Georgia
16
3.752
0.741
10.123
0.702
0.090
0.053
0.200
0.568
Honduras
17
4.303
0.417
11.276
0.815
0.864
0.523
2.200
0.639
Hungary
17
3.184
0.470
9.492
0.830
11.555
6.360
32.300
0.749
India
17
4.441
0.636
11.779
0.855
2.406
1.509
6.900
0.748
Italy
17
4.408
0.447
11.885
0.804
0.045
0.023
0.155
0.919
Kyrgyzstan
17
4.526
0.364
12.095
0.858
1.695
1.362
3.000
0.259
Latvia
17
4.025
0.531
10.696
0.856
0.032
0.016
0.100
0.900
Lithuania
17
3.557
0.465
9.503
0.832
0.205
0.078
0.800
1.114
Malaysia
17
3.109
0.486
8.161
0.789
0.191
0.100
0.500
0.772
Mexico
17
4.644
0.383
11.400
0.785
0.557
0.308
1.500
0.687
Mongolia
17
5.160
0.812
12.695
0.771
50.550
35.174
102.784
0.421
Morocco
17
3.666
0.488
9.291
0.833
0.530
0.256
1.700
0.899
Poland
17
4.100
0.542
10.294
0.821
0.189
0.097
0.600
0.838
Rep. Moldova
17
3.730
0.669
9.464
0.755
0.478
0.353
0.800
0.249
Season
17
4.067
0.145
11.728
0.871
0.400
0.187
1.300
0.915
Slovakia
17
4.000
0.475
10.724
0.780
1.867
0.674
6.000
0.937
Spain
17
4.198
0.367
10.005
0.788
0.045
0.023
0.152
0.902
Turkey
17
2.998
0.288
7.673
0.848
0.042
0.016
0.058
0.331
Ukraine
17
3.305
0.125
8.868
0.832
0.228
0.170
0.358
0.255
United Kingdom
17
4.471
0.460
10.947
0.786
0.034
0.019
0.100
0.842
USA
17
3.673
0.512
9.490
0.790
0.060
0.032
0.200
0.955
Vietnam
17
1.922
0.478
6.002
0.808
820.392
486.419
2155.80
0.667
Source: author's own calculations based on COMTRADE (2015), OANDA (2015), IMF (2015), the Central Bank of the Russian Federation and the National Bank of Moldova (NBM).
Table A 2
Summary statistics of export unit values and exchange rates on potash data set
|
Destinations |
N |
Ex |
port unit values (EUV) |
Nominal exchange rate ( |
4ER) |
|||||
|
MEAN |
MIN |
MAX |
CV |
MEAN |
MIN |
MAX |
CV |
|||
|
Brazil |
17 |
5.555 |
0.344 |
15.663 |
0.917 |
0.095 |
0.057 |
0.200 |
0.473 |
|
|
China |
17 |
5.192 |
0.451 |
14.749 |
0.845 |
0.459 |
0.203 |
1.600 |
0.953 |
|
|
Finland |
17 |
5.533 |
0.468 |
20.583 |
0.998 |
0.045 |
0.023 |
0.151 |
0.904 |
|
|
Hungary |
17 |
5.327 |
0.356 |
18.207 |
0.972 |
11.555 |
6.360 |
32.300 |
0.749 |
|
|
India |
17 |
4.293 |
0.300 |
12.281 |
0.898 |
2.406 |
1.509 |
6.900 |
0.748 |
|
|
Malaysia |
17 |
4.669 |
0.323 |
14.070 |
0.939 |
0.191 |
0.100 |
0.500 |
0.772 |
|
|
Poland |
17 |
5.510 |
0.332 |
20.838 |
1.047 |
0.189 |
0.097 |
0.600 |
0.838 |
|
|
Ukraine |
17 |
8.153 |
0.898 |
52.185 |
1.459 |
0.228 |
0.170 |
0.358 |
0.255 |
|
|
USA |
17 |
5.752 |
0.351 |
18.427 |
1.050 |
0.060 |
0.032 |
0.200 |
0.955 |
Source: see Table A1.
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