Illicit Trade and the Korean Economy
Annex C. Additional tables
Copy link to Annex C. Additional tablesTable A C.1. Propensity of economies to import fake goods infringing Korean IPR, 2011-2013
Copy link to Table A C.1. Propensity of economies to import fake goods infringing Korean IPR, 2011-2013GTRIC-e Korea
|
Year |
2011 |
2012 |
2013 |
|---|---|---|---|
|
Algeria |
0.969 |
0.973 |
0.000 |
|
Angola |
0.000 |
0.895 |
0.000 |
|
Australia |
0.000 |
1.000 |
0.000 |
|
Austria |
0.000 |
0.000 |
0.874 |
|
Belgium |
0.491 |
0.515 |
0.737 |
|
Bolivia |
0.000 |
0.000 |
0.999 |
|
Brazil |
0.000 |
0.000 |
0.532 |
|
Bulgaria |
0.976 |
0.979 |
0.996 |
|
Chile |
0.000 |
0.996 |
0.000 |
|
Colombia |
0.366 |
0.388 |
0.623 |
|
Congo |
0.858 |
0.000 |
0.000 |
|
Costa Rica |
0.000 |
0.000 |
0.713 |
|
Croatia |
0.000 |
0.000 |
0.999 |
|
Cyprus |
0.000 |
0.901 |
0.970 |
|
Czech Republic |
0.674 |
0.695 |
0.866 |
|
Denmark |
0.737 |
0.755 |
0.901 |
|
Dominican Republic |
0.859 |
0.000 |
0.000 |
|
El Salvador |
0.000 |
0.000 |
0.999 |
|
Estonia |
0.829 |
0.000 |
0.946 |
|
Finland |
0.960 |
0.000 |
0.992 |
|
France |
0.856 |
0.869 |
0.957 |
|
Gabon |
0.634 |
0.000 |
0.000 |
|
Georgia |
0.000 |
0.000 |
1.000 |
|
Germany |
0.737 |
0.756 |
0.901 |
|
Guatemala |
0.000 |
0.000 |
0.880 |
|
Guinea |
0.000 |
0.000 |
1.000 |
|
Honduras |
0.000 |
0.000 |
0.763 |
|
Hong Kong (China) |
0.000 |
0.000 |
0.391 |
|
Hungary |
0.668 |
0.689 |
0.862 |
|
Ireland |
0.000 |
0.886 |
0.964 |
|
Italy |
0.700 |
0.720 |
0.881 |
|
Jordan |
0.000 |
0.000 |
0.901 |
|
Kuwait |
0.000 |
0.658 |
0.842 |
|
Lao People’s Democratic Republic |
0.999 |
0.000 |
0.000 |
|
Lebanon |
0.000 |
0.000 |
0.928 |
|
Lithuania |
0.000 |
0.837 |
0.943 |
|
Luxembourg |
0.000 |
0.967 |
0.993 |
|
Mali |
1.000 |
0.000 |
0.000 |
|
Malta |
0.000 |
0.856 |
0.952 |
|
Mexico |
0.000 |
0.592 |
0.796 |
|
Morocco |
0.000 |
0.000 |
0.983 |
|
Netherlands |
0.563 |
0.586 |
0.792 |
|
Nicaragua |
0.000 |
0.000 |
0.927 |
|
Nigeria |
0.779 |
0.000 |
0.000 |
|
Panama |
0.000 |
0.000 |
0.884 |
|
Paraguay |
0.995 |
0.996 |
0.999 |
|
Peru |
0.000 |
0.776 |
0.912 |
|
Poland |
0.626 |
0.000 |
0.000 |
|
Portugal |
0.000 |
0.933 |
0.982 |
|
Qatar |
0.000 |
0.966 |
0.000 |
|
Romania |
0.840 |
0.854 |
0.951 |
|
Russia |
0.000 |
0.000 |
0.486 |
|
Saudi Arabia |
0.735 |
0.000 |
0.901 |
|
Slovak Republic |
0.000 |
0.422 |
0.656 |
|
Slovenia |
0.993 |
0.000 |
0.999 |
|
Spain |
0.858 |
0.871 |
0.958 |
|
Sweden |
0.869 |
0.882 |
0.962 |
|
Ukraine |
0.000 |
0.000 |
0.987 |
|
United Arab Emirates |
0.000 |
0.359 |
0.593 |
|
United Kingdom |
0.715 |
0.735 |
0.890 |
|
United States |
0.000 |
0.285 |
0.512 |
|
Uruguay |
0.000 |
0.930 |
0.000 |
|
Venezuela |
0.828 |
0.843 |
0.946 |
|
Yemen |
0.000 |
0.000 |
0.955 |
Note: A high GTRIC-e score indicates that an economy is highly prone to be a destination market for counterfeit products infringing Korean trademarks and patents, either in absolute terms or as a share of Korean sales.
Source: OECD calculations.
Table A C.2. Propensity of economies to import fake goods infringing Korean right holders’ IPR, 2014-2016
Copy link to Table A C.2. Propensity of economies to import fake goods infringing Korean right holders’ IPR, 2014-2016GTRIC-e Korea
|
Year |
2014 |
2015 |
2016 |
|---|---|---|---|
|
Argentina |
0.000 |
0.000 |
|
|
Austria |
0.771 |
0.790 |
|
|
Belgium |
0.674 |
0.590 |
0.616 |
|
Brazil |
0.460 |
0.000 |
0.000 |
|
Bulgaria |
0.993 |
0.987 |
0.989 |
|
Croatia |
0.999 |
0.998 |
0.998 |
|
Cyprus |
0.956 |
0.000 |
0.939 |
|
Czech Republic |
0.822 |
0.758 |
0.778 |
|
Denmark |
0.866 |
0.811 |
0.829 |
|
Dominican Republic |
0.000 |
0.000 |
0.918 |
|
Estonia |
0.923 |
0.885 |
0.898 |
|
Finland |
0.987 |
0.977 |
0.981 |
|
France |
0.938 |
0.906 |
0.916 |
|
Germany |
0.866 |
0.812 |
0.829 |
|
Greece |
0.857 |
0.800 |
0.818 |
|
Hungary |
0.818 |
0.753 |
0.773 |
|
Ireland |
0.948 |
0.919 |
0.928 |
|
Italy |
0.841 |
0.781 |
0.800 |
|
Latvia |
0.972 |
0.954 |
0.960 |
|
Lithuania |
0.919 |
0.880 |
0.892 |
|
Luxembourg |
0.988 |
0.979 |
0.982 |
|
Malta |
0.930 |
0.895 |
0.000 |
|
Mexico |
0.000 |
0.664 |
0.000 |
|
Morocco |
0.974 |
0.957 |
0.963 |
|
Netherlands |
0.736 |
0.658 |
0.682 |
|
Poland |
0.787 |
0.716 |
0.738 |
|
Portugal |
0.972 |
0.955 |
0.961 |
|
Romania |
0.929 |
0.894 |
0.905 |
|
Saudi Arabia |
0.865 |
0.000 |
0.000 |
|
Serbia |
0.702 |
0.000 |
0.000 |
|
Slovak Republic |
0.587 |
0.498 |
0.524 |
|
Slovenia |
0.998 |
0.997 |
0.997 |
|
Spain |
0.939 |
0.907 |
0.918 |
|
Suriname |
0.000 |
0.000 |
1.000 |
|
Sweden |
0.945 |
0.915 |
0.925 |
|
Trinidad and Tobago |
0.000 |
0.000 |
0.992 |
|
Ukraine |
0.980 |
0.000 |
0.000 |
|
United Kingdom |
0.852 |
0.794 |
0.812 |
|
United States |
0.440 |
0.353 |
0.378 |
|
Uruguay |
0.971 |
0.952 |
0.959 |
Note: A high GTRIC-e score indicates that an economy is highly prone to be a destination market for counterfeit products infringing Korean trademarks and patents, either in absolute terms or as a share of Korean sales.
Source: OECD calculations.
Table A C.3. Propensity of economies to import fake goods infringing Korean right holders’ IPR, 2017-2019
Copy link to Table A C.3. Propensity of economies to import fake goods infringing Korean right holders’ IPR, 2017-2019GTRIC-e Korea
|
Year |
2017 |
2018 |
2019 |
|---|---|---|---|
|
Albania |
1.000 |
0.000 |
0.000 |
|
Algeria |
0.000 |
0.000 |
0.966 |
|
Argentina |
0.957 |
0.000 |
0.000 |
|
Austria |
0.000 |
0.838 |
0.678 |
|
Belgium |
0.777 |
0.682 |
0.479 |
|
Brazil |
0.583 |
0.000 |
0.273 |
|
Brunei Darussalam |
0.571 |
0.000 |
0.000 |
|
Bulgaria |
0.997 |
0.993 |
0.974 |
|
China |
0.447 |
0.336 |
0.000 |
|
Colombia |
0.671 |
0.560 |
0.000 |
|
Croatia |
1.000 |
0.999 |
0.995 |
|
Cyprus |
0.978 |
0.958 |
0.885 |
|
Czech Republic |
0.892 |
0.828 |
0.663 |
|
Denmark |
0.922 |
0.870 |
0.727 |
|
Estonia |
0.959 |
0.926 |
0.822 |
|
Finland |
0.000 |
0.988 |
0.000 |
|
Former Yugoslav Republic of Macedonia |
0.000 |
1.000 |
0.000 |
|
France |
0.968 |
0.940 |
0.850 |
|
Gambia |
0.000 |
0.920 |
0.920 |
|
Germany |
0.922 |
0.870 |
0.727 |
|
Greece |
0.000 |
0.000 |
0.713 |
|
Honduras |
0.801 |
0.710 |
0.000 |
|
Hungary |
0.000 |
0.000 |
0.657 |
|
Ireland |
0.973 |
0.950 |
0.868 |
|
Italy |
0.000 |
0.846 |
0.690 |
|
Jamaica |
0.743 |
0.000 |
0.000 |
|
Latvia |
0.987 |
0.973 |
0.000 |
|
Lithuania |
0.956 |
0.922 |
0.814 |
|
Luxembourg |
0.995 |
0.989 |
0.000 |
|
Malta |
0.000 |
0.933 |
0.000 |
|
Netherlands |
0.827 |
0.743 |
0.551 |
|
Norway |
0.000 |
0.000 |
0.477 |
|
Peru |
0.931 |
0.000 |
0.000 |
|
Poland |
0.866 |
0.793 |
0.615 |
|
Portugal |
0.987 |
0.974 |
0.921 |
|
Romania |
0.963 |
0.932 |
0.833 |
|
Serbia |
0.800 |
0.000 |
0.000 |
|
Slovak Republic |
0.702 |
0.594 |
0.388 |
|
South Africa |
0.000 |
0.000 |
0.525 |
|
Spain |
0.968 |
0.941 |
0.852 |
|
Sweden |
0.000 |
0.000 |
0.863 |
|
Switzerland |
0.000 |
0.000 |
0.971 |
|
Ukraine |
0.991 |
0.981 |
0.981 |
|
United Kingdom |
0.912 |
0.856 |
0.705 |
Note: A high GTRIC-e score indicates that an economy is highly prone to be a destination market for counterfeit products infringing Korean trademarks and patents, either in absolute terms or as a share of Korean sales.
Source: OECD calculations.
Table A C.4. Propensity for product categories to suffer from infringements of Korean IPRs, 2011-2013
Copy link to Table A C.4. Propensity for product categories to suffer from infringements of Korean IPRs, 2011-2013GTRIC-p
|
Year |
2011 |
2012 |
2013 |
|---|---|---|---|
|
Articles of leather; handbags (42) |
0.000 |
0.761 |
0.954 |
|
Clothing |
0.457 |
0.457 |
0.725 |
|
Clothing and accessories |
0.000 |
0.000 |
0.521 |
|
Electrical machinery and electronics (85) |
0.934 |
0.934 |
0.987 |
|
Foodstuffs (02-21) |
0.000 |
0.000 |
0.000 |
|
Footwear (64) |
0.792 |
0.792 |
0.000 |
|
Machinery and mechanical appliances (84) |
0.347 |
0.347 |
0.623 |
|
Miscellaneous articles of base metal (83) |
0.229 |
0.229 |
0.000 |
|
Optical; photographic; medical apparatus (90) |
0.000 |
0.000 |
0.453 |
|
Perfumery and cosmetics (33) |
0.000 |
0.000 |
0.462 |
|
Plastic and articles thereof (39) |
0.000 |
0.000 |
0.420 |
|
Tanning or dyeing extracts (32) |
0.000 |
0.000 |
0.500 |
|
Toys and games (95) |
0.000 |
0.000 |
0.934 |
|
Vehicles (87) |
0.000 |
0.000 |
0.485 |
|
Watches (91) |
0.000 |
0.000 |
0.867 |
Source: OECD calculations.
Table A C.5. Propensity for product categories to suffer from infringements of Korean IPRs, 2014-2016
Copy link to Table A C.5. Propensity for product categories to suffer from infringements of Korean IPRs, 2014-2016GTRIC-p
|
Year |
2014 |
2015 |
2016 |
|---|---|---|---|
|
Articles of leather; handbags (42) |
0.848 |
0.788 |
0.916 |
|
Clothing |
0.480 |
0.390 |
0.617 |
|
Electrical machinery and electronics (85) |
0.942 |
0.909 |
0.973 |
|
Footwear (64) |
0.808 |
0.740 |
0.000 |
|
Jewellery (71) |
0.275 |
0.000 |
0.000 |
|
Machinery and mechanical appliances (84) |
0.369 |
0.286 |
0.506 |
|
Optical; photographic; medical apparatus (90) |
0.221 |
0.159 |
0.000 |
|
Perfumery and cosmetics (33) |
0.228 |
0.000 |
0.000 |
|
Plastic and articles thereof (39) |
0.197 |
0.000 |
0.000 |
|
Tanning or dyeing extracts (32) |
0.000 |
0.000 |
0.383 |
|
Toys and games (95) |
0.803 |
0.733 |
0.000 |
|
Vehicles (87) |
0.246 |
0.180 |
0.368 |
|
Watches (91) |
0.677 |
0.591 |
0.791 |
Source: OECD calculations.
Table A C.6. Propensity for product categories to suffer from infringements of Korean IPRs, 2017-2019
Copy link to Table A C.6. Propensity for product categories to suffer from infringements of Korean IPRs, 2017-2019GTRIC-p
|
Year |
2017 |
2018 |
2019 |
|---|---|---|---|
|
Clothing |
0.000 |
0.404 |
0.000 |
|
Electrical machinery and electronics (85) |
0.925 |
0.915 |
0.903 |
|
Jewellery (71) |
0.000 |
0.214 |
0.000 |
|
Knitted or crocheted fabrics (60) |
0.000 |
0.231 |
0.000 |
|
Machinery and mechanical appliances (84) |
0.322 |
0.299 |
0.274 |
|
Perfumery and cosmetics (33) |
0.000 |
0.174 |
0.156 |
|
Toys and games (95) |
0.000 |
0.000 |
0.721 |
|
Vehicles (87) |
0.208 |
0.189 |
0.170 |
Source: OECD calculations.