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    Home / Central Data Catalog / WLD_1955-2011_EDAI_V01_M / variable [F6]
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Estimates of Distortions to Agricultural Incentives 1955-2011

Argentina, Australia, Austria...and 76 more, 1955 - 2011
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Reference ID
WLD_1955-2011_EDAI_v01_M
Producer(s)
Kym Anderson, Signe Nelgen, Ernesto Valenzuela
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Dec 12, 2013
Last modified
Jun 14, 2022
Page views
15562
Downloads
1354
  • Study Description
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  • Data files
  • DAI_2011_Aggregates_0613_5-year_Averages
  • DAI_2011_Aggregates_0613_Yearly_Data
  • UpdatedDistortions_to_AgriculturalIncentives_database_0613_data
  • UpdatedTRI_WRI_Database_0613

prod2 (prod2)

Data file: UpdatedDistortions_to_AgriculturalIncentives_database_0613_data

Overview

Valid: 46588
Invalid: 0
Type: Discrete
Start: 43
End: 59
Width: 17
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
GENERAL 4276
9.2%
apple 342
0.7%
avocado 17
0%
banana 307
0.7%
barley 1563
3.4%
bean 331
0.7%
beef 2296
4.9%
cabbage 114
0.2%
camel 55
0.1%
cashew 110
0.2%
cassava 823
1.8%
chat 53
0.1%
chickpea 55
0.1%
chillies 53
0.1%
clementine 13
0%
clove 55
0.1%
coarsegrains 53
0.1%
cocoa 386
0.8%
coconut 167
0.4%
coffee 835
1.8%
cotton 1365
2.9%
cucumber 57
0.1%
egg 1692
3.6%
fruit&veg 197
0.4%
fruits 56
0.1%
garlic 113
0.2%
grape 381
0.8%
grapefruit 17
0%
groundnut 569
1.2%
gumarabic 53
0.1%
hazelnut 27
0.1%
hides&skins 53
0.1%
jute 55
0.1%
maize 2443
5.2%
mandarin 57
0.1%
melon 13
0%
milk 2313
5%
millet 710
1.5%
oat 1135
2.4%
oilseed 164
0.4%
oilseeds 16
0%
olive 68
0.1%
onion 168
0.4%
orange 183
0.4%
othercrops 53
0.1%
othergrains 18
0%
otherroots&tubers 55
0.1%
palmoil 277
0.6%
pear 57
0.1%
peas 53
0.1%
pepper 129
0.3%
pigmeat 2011
4.3%
plantain 272
0.6%
potato 1260
2.7%
poultry 2290
4.9%
pulse 53
0.1%
pyrethrum 53
0.1%
rapeseed 828
1.8%
rice 2071
4.4%
rubber 277
0.6%
rye 100
0.2%
sesame 112
0.2%
sheepmeat 1393
3%
sisal 55
0.1%
sorghum 1028
2.2%
soybean 1216
2.6%
spinach 54
0.1%
strawberry 72
0.2%
sugar 2580
5.5%
sunflower 867
1.9%
sweetpotato 216
0.5%
tea 333
0.7%
teff 53
0.1%
tobacco 323
0.7%
tomato 836
1.8%
vanilla 56
0.1%
vegetables 53
0.1%
wheat 2610
5.6%
wine 423
0.9%
wool 207
0.4%
yam 435
0.9%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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