The raw seizure data presented in the previous chapter do not take into account the general economic context, nevertheless they can be used as input for further statistical analysis. This is presented in the current chapter that summarizes the main results of the GTRIC analysis and our subsequent understanding of the trade in counterfeit and pirated goods. There are two areas in this analysis: the identification of key economies of provenance (i.e. the GTRIC-e) and the industry scope of the trade in counterfeit and pirated goods (i.e. the GTRIC-p).
Global Trade in Fakes
Chapter 4. The trade in fakes: The current picture
Provenance economies
Figure 4.1 indicates that many economies are part of the list of exporters of counterfeit products. However, it also indicates that most counterfeit products originated from a small group of economies. From 2017-19, these economies were China, Hong Kong (China), Turkey, Singapore and the United Arab Emirates (UAE). On average 90% of global seizures came from these five countries during this period.
Descriptive statistics on provenance economies of counterfeit and pirated products illustrate the significance of counterfeiting and piracy in international trade. Of course, many of the economies identified as provenance economies are also important actors in world trade in general. The economy-specific index, based on the methodology presented in Chapter 2 and Annex A, takes this into account and provides a more precise analysis. Specifically, it considers both: the share of seizures and the trade flows of the analysed economy. Hence, the index (called GTRIC-e) captures the relative propensity of importing counterfeits from different provenance economies.
Table 4.1 shows the top provenance economies in terms of their propensity to export counterfeit products from 2017-19. During this period, Hong Kong (China), the Syrian Arab Republic, China and Turkey were at the top of the ranking. This means that these economies have a high GTRIC-e score and are either reported as a provenance of high values of counterfeit and pirated products in absolute terms (e.g. USD) or their share of counterfeit and pirated goods is high.
Table 4.1. Top 25 provenance economies in terms of their propensity to export counterfeit products
GTRIC-e, average 2017-19
Provenance economy |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
Syrian Arab Republic |
0.998 |
China (People's Republic of) |
0.998 |
Turkey |
0.996 |
Dominican Republic |
0.984 |
Pakistan |
0.955 |
Georgia |
0.933 |
Lebanon |
0.872 |
Senegal |
0.831 |
Afghanistan |
0.761 |
Singapore |
0.758 |
Benin |
0.727 |
UAE |
0.720 |
Morocco |
0.694 |
Cambodia |
0.684 |
Bangladesh |
0.661 |
Curaçao |
0.635 |
Panama |
0.616 |
Tokelau |
0.580 |
Albania |
0.577 |
Serbia |
0.545 |
Paraguay |
0.451 |
India |
0.447 |
Lao People's Democratic Republic |
0.441 |
Note: High GTRIC-e is a weighted value of two sub-components: the value of exports of counterfeit and pirated products from that economy in absolute terms and the share of trade in counterfeit and pirated products from that economy.
Hong Kong and China were already at the top of the provenance economies from 2014-16, with the highest propensity to export counterfeit products. The UAE and Morocco have moved down the ranking from 2017-19, while the Dominican Republic and Singapore have moved up.
The Syrian Arab Republic moved into second position from 16th from 2014-16, with a GTRIC-e of 0.561. Further analysis from additional data needs to be carried out to determine whether the Syrian Arab Republic is a seasonal or a continuous point of transfer for the world trade in fakes. Changes in transit points may come from the application of effective anti-counterfeiting policies by enforcement authorities or due to other factors, such as the evolution of trades flow in general or the emergence of other, such as more convenient routes of trade in fakes. In addition, some economies on the list, such as Syria or Venezuela, are rather unstable. It shows that such conditions do not deter criminals that operate illicit trade network, who in fact benefit from these political uncertainties
As mentioned above, it is important to note that the GTRIC-e presents the key provenance economies in the trade of counterfeits; they may be economies either where the actual production of infringing goods is taking place or economies where infringing goods transit. Further analysis in relevant industries is carried out in the subchapter below to determine whether an economy is a producer of fake goods or a place of transit.
Impacted industries
As discussed in Chapter 3, the scope of goods that are sensitive to infringement is broad and has broadened (88 of the 96 HS chapters are affected by counterfeiting and piracy, i.e. 92% for the 2017-19 period versus 80% for the 2011-13 period). However, the intensity of counterfeiting and piracy differs greatly for different types of goods and hence across HS categories. This is illustrated in Figure 4.2 below, which indicates that between 2017 and 2019, interceptions were concentrated in a relatively limited number of chapters.
As can be seen in Figure 4.2, the scope of goods that are subject to infringement is broad. However, the intensity of counterfeiting and piracy differs significantly from one product category to another. Indeed, from 2017 to 2019 interceptions of counterfeit products remained concentrated in a relatively limited number of HS categories.
From 2017 to 2019 the top five of industries targeted by counterfeiters remained exactly the same from 2014 to 2016. Perfumery and cosmetics, articles of leather, clothing, footwear and watches were again the industries with the highest propensity to be subject to counterfeiting.
However, the list of the top 20 industries that are targeted by counterfeiters changed slightly between 2011 to 2013 and 2014 to 2016. In the former period, the top three included watches, leather goods and headgear. In the latter perfumery and cosmetics, toys and clothing, and knitted or crocheted clothing were targeted.
Table 4.2. Top 20 industries targeted by counterfeiters, 2017-19
GTRIC-p, average
Harmonised System Code (HS Code) |
GTRIC-p |
---|---|
Perfumery and cosmetics (33) |
1.000 |
Articles of leather; handbags (42) |
1.000 |
Clothing, knitted or crocheted (61) |
1.000 |
Footwear (64) |
1.000 |
Watches (91) |
1.000 |
Toys and games (95) |
1.000 |
Jewellery (71) |
1.000 |
Tobacco (24) |
0.997 |
Other made-up textile articles (63) |
0.858 |
Arms and ammunition (93) |
0.820 |
Clothing and accessories, not knitted or crocheted (62/65) |
0.787 |
Musical instruments (92) |
0.656 |
Knitted or crocheted fabrics (60) |
0.633 |
Optical; photographic; medical apparatus (90) |
0.596 |
Electrical machinery and electronics (85) |
0.530 |
Furniture (94) |
0.503 |
Miscellaneous articles of base metal (83) |
0.373 |
Miscellaneous manufactured articles (66/67/96) |
0.313 |
Printed articles (49) |
0.273 |
Impacted economies
This section studies the location of IP rights holders that suffer from counterfeiting and piracy. Location refers to the place where the headquarters of a right holder is registered. As in previous years, the vast majority of companies whose IP rights are infringed upon by counterfeiters are located in OECD countries, whose economies rely on innovation and creativity. As illustrated in Figure 4.3, almost 39% of customs seizures refer to products that infringe the IP rights of US rights holders. The United States is followed by France (18%), Germany (16%), Italy (9.8%) and Switzerland (4%). Other OECD countries whose companies also suffer from counterfeiting include Denmark, Japan, Korea, Spain, Ireland and Sweden.
Remarkably, right holders in China and Hong Kong (China) also suffer from counterfeiting, as China and Hong Kong (China) rank 15th and 20th respectively in the list of economies most impacted by global counterfeiting and piracy. This phenomenon is interesting as these regions are also the top provenance economies for counterfeited and pirated products. This also indicates the strong threat that counterfeiting and piracy poses in undermining innovation within Chinese companies, since many of these companies rely on knowledge-based capital and IP rights in their business strategies.
Mapping real routes for trade in fakes: industry cases
Parties that trade in counterfeit and pirated products tend to ship infringing products via complex trade routes in order to cover their tracks. These complex routes are a formidable obstacle for enforcement authorities. Mapping the trade routes for fake goods is therefore essential in developing effective policies to counter this threat.
Precise information about the economy of origin is essential for efficient enforcement. Complex trade routes become a formidable obstacle for enforcement authorities, as the economy of origin is concealed through the various transit points. Consequently, a mapping of trade routes in fake goods is essential for developing effective policies to counter these illicit activities. In response to this problem, we decided to chart the routes used in the trade of fakes to determine the main producers and identify the key transit points.
Determining the main producer economies of fakes and the key transit points requires statistical data on the seizures of counterfeit and pirated goods, complemented with international trade statistics and data on industrial activity (a detailed description of these data and the related limitations is presented in Annex A).
The methodology is used to determine first the top economies of provenance for counterfeit goods in each product category. However, it does not distinguish whether these economies are producers or transit points of fake goods in the category. Then, it applies a filter to distinguish the producing economies from the key potential transit points for each analysed industry in each economy. Filters are based on data that gauge economies’ propensities to produce and to re-export these goods.
Logically, if an economy is not a significant producer of a fake good and at the same time is a large re-exporter of this good in legitimate trade, then it is likely to be a transit point. Similarly, economies that are identified as provenance economies that are significant producers of a given good but are insignificant re-exporters are likely to be producers of these fake products.
These filters are well grounded in the economic trade literature and are used to assess the specialisation and complexity of a given economy (Hidalgo and Hausmann, 2009 and 2011).
Trade routes for fake perfumery and cosmetics
Provenance and destination economies
According to the global customs seizure data, China was by far the largest provenance economy of counterfeit perfumery and cosmetics between 2017 and 2019. Indeed, China was the origin of 78% of the total seized value of worldwide counterfeit perfumery and cosmetics (Figure 4.4. ). It was followed by India, Hong Kong (China), the UAE and Turkey.
The GTRIC-e index for the perfumery and cosmetics industry compares the customs seizures intensities of infringing perfumes and cosmetics with genuine trade intensities for each provenance economy. This confirms that China, Hong Kong (China) and India are the economies most likely to be the source of fake perfumes and cosmetics (Table 4.3). The GTRIC index shows that Kuwait, the UAE and Turkey are also part of the economies most likely to export fake perfumes and cosmetics. The list of top provenance economies for counterfeit perfumes and cosmetics imported into the EU is quite comparable to the one for world imports (Table 4.4).
Table 4.3. Relative likelihood of an economy to be a source of fake perfumery and cosmetics
GTRIC-e world for perfumes and cosmetics, average 2017-19
provenance |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
China (People's Republic of) |
1 |
India |
1 |
Kuwait |
0.971 |
UAE |
0.959 |
Turkey |
0.935 |
Lebanon |
0.699 |
Panama |
0.618 |
Venezuela |
0.502 |
Jordan |
0.501 |
Nigeria |
0.483 |
Bahrain |
0.381 |
Bulgaria |
0.341 |
Ethiopia |
0.333 |
Note: A high score on the GTRIC index means there is a greater likelihood the economy is a source of counterfeit goods.
Table 4.4. Relative likelihood of an economy to be a source of fake perfumery and cosmetics imported into the EU
GTRIC-e for perfumes and cosmetics to the EU, average 2017-19
provenance |
GTRIC-e |
---|---|
China (People's Republic of) |
1 |
Hong Kong (China) |
1 |
Venezuela |
1 |
UAE |
1 |
Turkey |
0.999 |
Singapore |
0.867 |
Malaysia |
0.798 |
Belarus |
0.745 |
Saudi Arabia |
0.667 |
Ukraine |
0.629 |
Bulgaria |
0.628 |
Kuwait |
0.628 |
Russia |
0.506 |
Bahrain |
0.333 |
Descriptive statistics on the most intensive routes presented in Figure 4.5. show that over the period 2017-19 the largest share of fake perfumery and cosmetics exported to the US and the EU came from China, India and Hong Kong (China).
Producers and transit points
Comparing the GTRIC-e indices with the Relative Comparative Advantage for Production (RCAP-e) and Relative Comparative Advantage for being a Transit Point (RCAT-e) indices indicates that China, Turkey, India and Singapore were the main producers of counterfeit perfumery and cosmetics (Table 4.5). While China exports fake perfumery and cosmetics across the world, the fakes exported by other producers were mainly destined to the US, the EU and countries in the Middle East.
Table 4.5. Producers of counterfeit perfumery and cosmetics, 2017-19
Producing economy |
Destinations |
Transport mode |
---|---|---|
China |
EU |
Mail - Air - Sea |
US |
Mail - Air |
|
Saudi Arabia |
Sea - Rail - Mail |
|
Kuwait |
Sea |
|
Morocco |
Sea |
|
Japan |
Air - Mail |
|
African countries |
Sea |
|
South American countries |
Sea - Air |
|
Jordan |
Sea - Mail |
|
Qatar |
Sea |
|
Turkey |
EU |
Road - Air - Mail |
Morocco |
Sea |
|
Saudi Arabia |
Air - Mail -Sea |
|
Qatar |
Sea - Air |
|
India |
US |
|
Saudi Arabia |
Sea - Mail - Rail |
|
Qatar |
Sea |
|
EU |
|
|
Singapore |
US |
|
EU |
Mail - Air |
|
Saudi Arabia |
Sea |
Comparing the GTRIC-e and RCAT-e indices allows identification of the transit points of counterfeit perfumes and cosmetics, indicating that Hong Kong (China) is an important hub for fake perfumes and cosmetics that are re-exported mainly to the EU and the US. The UAE and Kuwait are also used as transit points for re-exporting fake perfumery and cosmetics, particularly to the EU, the US and countries in the Middle East.
Table 4.6. Key transit points for counterfeit perfumery and cosmetics, 2017-19
Provenance economy |
Transit point |
Main destinations |
Transport mode from transit point to destination |
---|---|---|---|
China UAE |
Kuwait |
Qatar |
Sea - Air |
EU |
|
||
Saudi Arabia |
Road - Mail |
||
UAB |
Air |
||
? |
UAE |
Saudi Arabia |
Mail - Road - Sea |
Gulf countries (Kuwait, Oman and Bahrain) |
Road - Sea |
||
EU |
Sea - Air - Mail |
||
US |
Sea |
||
Belarus |
Sea |
||
Jordan |
Sea - Road |
||
? |
Hong Kong (China) |
US |
|
EU |
Mail - Air - Sea |
||
Puerto Rico |
|
||
Japan |
Air |
||
Saudi Arabia |
Mail - Sea |
||
Senegal |
|
Trade routes for fake leather articles and handbags
Provenance and destination economies
According to the OECD-EUIPO database on global customs seizures, China was by far the main provenance economy of fake leather articles and handbags between 2017 and 2019 (Figure 4.6. ). China was the origin of 59% of the total seized value in this product category. It was followed by Hong Kong (China) (33%) and Turkey (5%).
The GTRIC-e indices compare the customs seizures intensities of infringing products with licit trade intensities for each provenance economy. The GTRIC-e indices for leather articles show that several economies are likely to be a source of counterfeit articles of leather. Compared to the 2011-13 period, there are many more economies associated with a high GTRIC score (i.e. 17 provenance economies display GTRIC-e scores higher than 0.9). According to the GTRIC-e index, the economies most likely to export fake articles of leather over the 2017-19 period were Afghanistan, Hong Kong (China), Iraq, Nigeria, Senegal, Venezuela, Cameroon, Lao and Jordan (Table 4.7). Among economies most likely to be a source of fake leather articles and handbags, there are several provenance economies that are more common sources of fakes, namely Hong Kong (China), Turkey, the UAE and China, as well as unusual provenance economies such as Afghanistan, Iraq, Iran, Nigeria, Senegal and Cameroon. These economies have a high GTRIC score because the value of seized fake articles of leather originating in these countries is high in relative terms (i.e. in terms of trade flows), while the seized value is limited in absolute terms (i.e. in terms of value in USD).
Table 4.7. Relative likelihood of an economy to be a source of counterfeit leather articles and handbags
GTRIC-e world for leather articles and handbags; average 2017-19
Provenance |
GTRIC-e |
---|---|
Afghanistan |
1 |
Hong Kong (China) |
1 |
Iraq |
1 |
Nigeria |
1 |
Senegal |
1 |
Venezuela |
1 |
Cameroon |
1 |
Lao People's Democratic Republic |
1 |
Jordan |
1 |
Bahrain |
0.999 |
Turkey |
0.999 |
Egypt |
0.998 |
Iran |
0.981 |
Kenya |
0.936 |
Dominican Republic |
0.929 |
UAE |
0.918 |
Russia |
0.912 |
Ecuador |
0.844 |
China (People's Republic of) |
0.742 |
Saudi Arabia |
0.731 |
Colombia |
0.696 |
Lebanon |
0.688 |
Democratic Republic of the Congo |
0.667 |
British Virgin Islands |
0.667 |
Azerbaijan |
0.657 |
The list of economies most likely to export fake leather goods to the EU is comparable to the one for worldwide exports of fake articles of leather. However, it should be noted that Singapore exports more fake leather goods to the EU than worldwide, and that Morocco and countries that are geographically close to the EU, such as Albania, Russia or Azerbaijan, also export fake articles of leather.
Table 4.8. Relative likelihood of an economy to be a source of counterfeit leather articles and handbags imported to the EU
GTRIC-e EU for leather articles and handbags; average 2017-19
provenance |
GTRIC-e |
---|---|
Egypt |
1 |
Iran |
1 |
Nigeria |
1 |
Russia |
1 |
Senegal |
1 |
Turkey |
1 |
Bahrain |
1 |
Hong Kong (China) |
1 |
Singapore |
1 |
UAE |
1 |
Morocco |
0.940 |
Malaysia |
0.920 |
Kuwait |
0.871 |
Colombia |
0.851 |
Lebanon |
0.838 |
China (People's Republic of) |
0.824 |
Qatar |
0.812 |
Albania |
0.781 |
Thailand |
0.724 |
Afghanistan |
0.669 |
Azerbaijan |
0.668 |
Cameroon |
0.668 |
Ghana |
0.667 |
Syrian Arab Republic |
0.667 |
Kenya |
0.667 |
Producers and transit points
Comparing the GTRIC-e indices with the RCAP-e and RCAT-e indices indicates that China is the main producer of counterfeit leather articles from 2017 to 2019. China exports fake leather goods all over the world (Table 4.9). Turkey was also identified as a producer of fake leather articles mainly destined for the EU.
Table 4.9. Producers of fake leather articles and handbags, 2017-19
Producing economy |
Main destinations |
Transport mode |
---|---|---|
China |
US |
Mail - Sea |
EU |
Mail - Air - Sea |
|
Japan |
Mail - Air - Sea |
|
Gulf countries (Saudi Arabia, Kuwait) |
Sea - Rail |
|
Morocco |
Sea - Air |
|
South American countries (Dominican Republic, Chile, Mexico, Puerto Rico and Uruguay) |
Sea - Air |
|
African countries (Cabo Verde, Namibia, Senegal) |
Sea |
|
Turkey |
EU |
Mail - Air - Road |
US |
Mail - Air |
|
Saudi Arabia |
Mail - Air |
|
Dominican Republic |
Air |
|
Australia |
Air - Mail |
|
Kuwait |
Mail - Air |
|
Algeria |
Sea |
|
African countries (Angola, Congo and Gambia) |
Air - Mail |
|
Colombia |
US |
|
EU |
Mail - Sea |
Hong Kong (China), the UAE and Kuwait were identified as main transit points for the trade in fake handbags and leather articles. The UAE re-exports fake leather goods from China and Turkey worldwide. Kuwait re-exports counterfeit leather goods originating from China and Southeast Asia mainly to the EU.
Table 4.10. Key transit points for counterfeit leather articles and handbags, 2017-19
Provenance |
Transit point |
Destinations |
---|---|---|
China |
UAE |
EU |
United States |
||
Gulf countries (Saudi Arabia, Kuwait, UAE, Bahrain and Qatar) |
||
Egypt |
||
Turkey |
Jordan |
|
South Africa |
||
? |
Hong Kong |
United States |
Japan |
||
Morocco |
||
Ukraine |
||
South American countries (Chile, Ecuador, Jamaica, Puerto Rico, Dominican Republic and Colombia) |
||
Africa (South Africa and Sierra Leone) |
||
Gulf countries (Saudi Arabia and Kuwait) |
||
China |
Kuwait |
|
EU |
||
India, Indonesia, Philippines, Viet Nam |
|
|
US |
||
Turkey |
|
Trade routes for fake footwear
Provenance and destination economies
According to the database on global customs seizures, China was by far the main provenance economy of counterfeit footwear between 2017 and 2019, being the origin of 79% of the total seized value of IP-infringing footwear (Figure 4.7. ). It was followed by Hong Kong (China) (13%) and Turkey (3%).
The GTRIC-e indices for counterfeit footwear, which compare the customs seizures intensities for this product category with the legitimate trade intensities for each provenance economy, indicate that Hong Kong is most likely to be source of counterfeit footwear (Table 4.11). It also confirms that Singapore, the UAE, Turkey and China are part of the list of the economies most likely to export fake footwear. The GTRIC-e indices also shows that increased number of countries have participated in trade in counterfeit footwear between 2017 and 2019. This includes countries with marginal participation in trade in counterfeits in previous years such as African countries (Guinea, Nigeria, Senegal, Ghana, Cameroon), Middle East countries (Afghanistan, Bahrain, Lebanon and Iran). The seized value of counterfeit footwear originating from these economies is not significant in absolute terms, but it represents a high share of their legitimate trade flows, which make them economies with a high propensity to be a source of fake footwear. This indicates that a growing number of economies are participating to the trade in counterfeit footwear and counterfeiters are using new trade routes.
Table 4.11. Relative likelihood of an economy to be a source of fake footwear
GTRIC-e world for footwear; average 2017-19
provenance |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
Guinea |
0.9999 |
Venezuela |
0.9995 |
Singapore |
0.9992 |
Afghanistan |
0.9990 |
Nigeria |
0.9985 |
UAE |
0.9963 |
Turkey |
0.9863 |
Bahrain |
0.9761 |
Senegal |
0.9605 |
Ghana |
0.9573 |
Lebanon |
0.9522 |
Iran |
0.9038 |
Cameroon |
0.9004 |
China (People's Republic of) |
0.8674 |
Colombia |
0.8051 |
Egypt |
0.7508 |
Greece |
0.7272 |
Iraq |
0.6667 |
Mauritania |
0.6667 |
Jordan |
0.6667 |
Algeria |
0.6659 |
Korea |
0.5862 |
Georgia |
0.5754 |
The list of top provenance economies for counterfeit footwear imported to the EU is comparable to the list for world imports of fake footwear. However, Armenia, Russia, Kazakhstan and Greece play greater roles in EU imports than in world imports.
Table 4.12. Relative likelihood of an economy to be a source of fake footwear imported to the EU, 2017-19
GTRIC-e EU for footwear to the EU; average 2017-19
Provenance |
GTRIC-e |
---|---|
Armenia |
1 |
Ghana |
1 |
Guinea |
1 |
Hong Kong (China) |
1 |
Iran |
1 |
Nigeria |
1 |
Senegal |
1 |
Togo |
1 |
Lebanon |
1 |
Syrian Arab Republic |
1 |
Ecuador |
0.9999 |
Singapore |
0.9996 |
Turkey |
0.9992 |
Russia |
0.9954 |
UAE |
0.9920 |
Kazakhstan |
0.9778 |
Colombia |
0.9768 |
China (People's Republic of) |
0.9650 |
Malaysia |
0.7845 |
Egypt |
0.7165 |
Israel |
0.7121 |
Greece |
0.6922 |
Afghanistan |
0.6667 |
Cameroon |
0.6667 |
Algeria |
0.6667 |
Figure 4.8., which shows the most intensive trade routes, indicates that the largest share of counterfeit footwear is exported from China to the US and the EU, as well as Algeria, Tunisia, Chile and Russia.
Producers and transit points
Comparing the GTRIC-e indices with the RCAP-e and RCAT-e indices indicates that China were the main producer of fake footwear destined to all world regions. China exports fake footwear directly or through transit points such as the UAE. Turkey and Malaysia were also identified as producing economies. While China exports fake footwear across the world, Turkey and Malaysia targeted mostly Europe and the US.
Table 4.13. Producers of counterfeit footwear, 2017-19
Producing economy |
Main destinations |
Transport mode |
---|---|---|
China |
EU |
Mail - Air - Sea |
United States |
|
|
Ukraine |
Air - Sea |
|
South American countries |
Sea |
|
Gulf countries |
Sea - Rail |
|
Africa (North African countries, Angola, Cabo Verde, Mozambique and South Africa) |
Sea - Air |
|
Lebanon |
Sea |
|
Afghanistan |
|
|
Russia |
Sea - Road |
|
Japan |
Sea - Mail - Air |
|
Jordan |
Sea |
|
Turkey |
EU |
Mail - Air - Road |
Southeast of Europe (Bosnia and Herzegovina, Serbia) |
Road |
|
United States |
|
|
Saudi Arabia |
Sea - Mail |
|
Ukraine |
Road |
|
North Africa |
Road - Air - Sea |
|
Malaysia |
EU |
Mail - Air |
|
Saudi Arabia |
Mail - Air - Sea |
|
US |
|
Table 4.14. Key transit points for counterfeit footwear, 2017-19
Provenance |
Transit point |
Main destinations |
---|---|---|
Hong Kong |
Hong Kong (China) |
US |
EU |
||
South and central American countries (Colombia, Chile, Ecuador, Jamaica) |
||
Ukraine, Russia |
||
Gulf countries (Kuwait, Qatar, Saudi Arabia) |
||
? |
Singapore |
EU |
|
US |
|
|
Russia |
|
China |
UAE |
Saudi Arabia |
|
Kuwait , UAE, Bahrain |
|
|
South Africa, Algeria |
|
? |
Armenia |
EU |
Trade routes for fake toys and games
Provenance and destination economies
Data on global customs seizures indicate that China was by far the main provenance country of counterfeit toys and games, being the origin of 84.0% of the global seized value of this product category between 2017 and 2019. It was followed by Honk Kong (China) (9.0%), Argentina (2.4%) and Turkey (1.6%).
The GTRIC-e indices that compare the intensities of customs seizures of counterfeit toys and games with legitimate trade intensities for each provenance economy indicate that Hong Kong is the most likely to export fake toys and games (Table 4.15). Other economies include China, Singapore, the UAE, Iran Turkey, Argentina, Ecuador and Chile.
Table 4.15. Relative likelihood of an economy to be a source of fake toys and games, 2017-19
GTRIC-e for toys and games, average 2017-19
provenance |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
UAE |
0.978 |
Iran |
0.951 |
Turkey |
0.945 |
Singapore |
0.868 |
China (People's Republic of) |
0.693 |
Argentina |
0.667 |
Ecuador |
0.666 |
Chile |
0.666 |
Georgia |
0.526 |
Estonia |
0.390 |
Korea |
0.362 |
India |
0.349 |
Kuwait |
0.333 |
Table 4.16, which lists the top provenance economies of fake toys and games imported to the EU, identified from the GTRIC-e methodology, indicates that Hong Kong (China), Singapore and Turkey are the most likely to export fake toys and games to the EU. The list of the top provenance countries for the EU is comparable to the one for the world. However, it should be noted that Singapore and China play a greater role in EU imports than in world imports.
Table 4.16. Relative likelihood of an economy to be a source of fake toys and games imported into the EU, 2017-19
GTRIC-e for fake toys and games imported to the EU, average 2017-19
provenance |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
Singapore |
1 |
Turkey |
1 |
Iran |
0.981 |
China (People's Republic of) |
0.916 |
Ecuador |
0.667 |
Georgia |
0.538 |
Thailand |
0.485 |
UAE |
0.372 |
Azerbaijan |
0.334 |
Iraq |
0.333 |
Kuwait |
0.333 |
Saudi Arabia |
0.332 |
Suriname |
0.332 |
Syrian Arab Republic |
0.331 |
Regarding the most intensive trade routes, descriptive statistics of global customs seizures suggest that from 2017 to 2019, the largest share of counterfeit toys and games was exported from China to the US, the EU, Chile, Uruguay and Brazil.
Producers and transit points
Comparing the GTRIC-e indices with the RCAP-e and RCAT-e indices allows to determine China is the main producer of fake toys and games. It exports mainly to the EU, the US and Japan via mail and air, while it exports mainly by sea to the Gulf countries, Africa and South America (Table 4.17). Turkey and Korea were also identified as producing economies. While the former mainly exports fake toys and games to the EU via road and mail, the latter exports fake toys and games mainly to the US and Japan.
Table 4.17. Producers of counterfeit toys and games, 2017-19
Producing economy |
Main destinations |
Transport mode |
---|---|---|
China |
EU |
Mail - Air - Sea |
US |
Mail - Air |
|
Chile |
Sea - Air |
|
Japan |
Mail - Air - Sea |
|
Gulf countries (Kuwait, Saudi Arabia) |
Sea - Rail - Air |
|
Russia, Ukraine, Belarus |
Sea - Road - Air |
|
North Africa (Tunisia, Morocco, Algeria) |
Sea |
|
Dominican Republic, Uruguay |
Sea |
|
Southeast Europe |
Sea |
|
Africa (Senegal, Guinea-Bissau, Cabo Verde, Madagascar) |
Sea |
|
Turkey |
EU |
Mail - Road - Air |
US |
|
|
Qatar |
Sea |
|
Korea |
US |
|
Japan |
|
|
EU |
Mail - Air - Sea |
|
Chile |
Sea |
The GTRIC-e and RCAT-e indices reveal that Hong Kong (China) and Singapore are important hubs for the trade in fake toys and games. Table 4.18 shows they re-export to the EU, the US, South America, Eastern Europe and the Gulf countries.
The UAE and Saudi Arabia were also identified as transit points for the trade in fake toys and games. They appear to target the Gulf region and the EU. Moreover, fake toys and games passing through Saudi Arabia mainly come from China and the UAE.
Table 4.18. Key transit points for fake toys and games, 2017-19
Provenance |
Transit point |
Main destinations |
---|---|---|
? |
Hong Kong (China) |
US |
EU |
||
Japan |
||
Chile, Puerto Rico, Colombia |
||
Belarus, Ukraine |
||
Kuwait, Saudi Arabia |
||
? |
Singapore |
EU |
US |
||
Brazil |
||
Japan |
||
Oman |
||
? |
UAE |
Saudi Arabia, Kuwait, Qatar |
EU |
||
Algeria |
||
China UAE |
Saudi Arabia |
EU |
Qatar, Kuwait |
Trade routes for fake jewellery
Provenance and destination economies
According to the global customs seizure database, China and Hong Kong (China) were the main provenance economies of counterfeit jewellery over the 2017-19 period. Altogether, they were the origin of almost 96% of the global seized value of fake jewellery. They were followed by Thailand, Singapore and Turkey (Figure 4.11. ).
The GTRIC indices which compare intensities of the trade in fake jewellery with the licit trade in jewellery confirm that China and Honk Kong (China) were the most likely to export fake jewellery over the 2017-19 period (Table 4.19).
Table 4.19. Relative likelihood of an economy to be a source of counterfeit jewellery, 2017-19
GTRIC-e for jewellery; average 2017-19
provenance |
GTRIC-e |
---|---|
China (People's Republic of) |
1 |
Hong Kong (China) |
1 |
Panama |
0.666 |
Viet Nam |
0.533 |
Thailand |
0.512 |
Turkey |
0.491 |
Singapore |
0.360 |
Bahrain |
0.338 |
Costa Rica |
0.333 |
Jordan |
0.331 |
Tuvalu |
0.330 |
Colombia |
0.236 |
Pakistan |
0.197 |
Mexico |
0.186 |
Malaysia |
0.171 |
Note: A higher score on the GTRIC index means there is a greater likelihood that the economy in question is a source of counterfeit goods.
Table 4.20. Relative likelihood of an economy to be a source of fake jewellery imported into the EU, 2017-19
GTRIC-e for jewellery to the EU; average 2017-19
provenance |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
China (People's Republic of) |
1 |
Turkey |
0.990 |
Malaysia |
0.916 |
Benin |
0.667 |
Qatar |
0.608 |
Egypt |
0.602 |
Kuwait |
0.579 |
Thailand |
0.486 |
Viet Nam |
0.483 |
Ukraine |
0.424 |
Ghana |
0.405 |
Singapore |
0.391 |
Cameroon |
0.333 |
Note: A higher score on the GTRIC index means there is a greater likelihood that the economy in question is a source of counterfeit goods.
Descriptive statistics on the most intensive trade routes indicate that over the period 2017 to 2019 the largest share of counterfeit jewellery was exported from China and Hong Kong (China) to the US (Figure 4.12.). Large trade flows of counterfeit jewellery also include exports from China and Hong Kong (China) to the EU.
Producers and transit points
The GTRIC-e indices and the RCAP-e and RCAT-e indices allowed to identify China as the main producing economy of fake jewellery. China exports fake jewellery mainly to the US, the EU, Japan, Morocco and the Gulf countries.
Thailand and Malaysia, which are important producers of counterfeit jewellery, export mainly to the EU and the US.
Table 4.21. Producers of counterfeit jewellery, 2017-19
Producing economy |
Main destinations |
---|---|
China |
US |
EU |
|
Morocco |
|
Puerto Rico |
|
Japan |
|
Saudi Arabia, Kuwait |
|
Ukraine |
|
Chile |
|
Thailand |
US |
EU |
|
Malaysia |
EU |
US |
Hong Kong (China) appears as an important hub for the trade in fake jewellery, re-exporting to the US, the EU, South America, North Africa and the Gulf region. Singapore and the UAE that are two other transit points, re-exporting fake jewellery mainly to the US, the EU and the Gulf countries. Ukraine seems to be a hub for fake jewellery coming from China and destined for the EU.
Table 4.22. Key transit points of counterfeit jewellery, 2017-19
Provenance economy |
Transit points |
Main destinations |
---|---|---|
? |
Hong Kong |
US |
EU |
||
Puerto Rico |
||
Morocco |
||
Qatar |
||
Ukraine |
||
? |
Singapore |
US |
EU |
||
Saudi Arabia |
||
? |
UAE |
EU |
US |
||
Russia |
||
Saudi Arabia, Kuwait |
||
China |
Ukraine |
EU |
Trade routes for fake clothing
Provenance and destination economies
The database on global customs seizures indicates China was by far the main exporter of fake clothing over the period 2017 to 2019, being the origin of 62% of the total seized value of this product category (Figure 4.13. ). Turkey (12%) and Hong Kong (11%) were the main provenances of fake clothing after China. Other Asian countries such as Vietnam, Bangladesh, India and Indonesia appear on the list of the top provenance economies for counterfeit clothing.
The GTRIC-e indices which compare intensities of the trade in fake clothing with legitimate trade flows indicate that many countries participate in the trade of fake clothing. It confirms that Hong Kong (China), Turkey and China were the most likely to export fake clothing. The share of counterfeit goods in export of African and Middle Eastern economies was relatively high, though the total seized value of fake clothing from them is low in absolute terms but represents a high share of legitimate trade flows.
Table 4.23. Relative likelihood of an economy to be a source of fake clothing, 2017-19
GTRIC-e for clothing; average 2017-19
Provenance |
GTRIC-e |
---|---|
Hong Kong (China) |
1 |
Nigeria |
1 |
Senegal |
1 |
Iraq |
1 |
Cameroon |
1 |
Iran |
1 |
Afghanistan |
1 |
Algeria |
1 |
Syrian Arab Republic |
1 |
Azerbaijan |
0.997 |
Uganda |
0.992 |
Turkey |
0.944 |
Venezuela |
0.943 |
Singapore |
0.868 |
Lebanon |
0.866 |
UAE |
0.863 |
Peru |
0.783 |
China (People's Republic of) |
0.771 |
Pakistan |
0.688 |
Curaçao |
0.667 |
Libya |
0.667 |
Guinea |
0.582 |
Ghana |
0.570 |
Ecuador |
0.488 |
Viet Nam |
0.464 |
The list of economies most likely to be sources of fake clothing imported to the EU is similar to those for world imports. However, Russia, Kenya and Chile play a larger role in EU exports (Table 4.24).
Table 4.24. Relative likelihood of an economy to be source of fake clothing imported into the EU, 2017-19
GTRIC-e for clothing to the EU; average 2017-19
provenance |
GTRIC-e |
---|---|
Azerbaijan |
1 |
Algeria |
1 |
Ghana |
1 |
Iran |
1 |
Iraq |
1 |
Nigeria |
1 |
Senegal |
1 |
Syrian Arab Republic |
1 |
Afghanistan |
1 |
Hong Kong (China) |
1 |
Singapore |
0.998 |
Kenya |
0.991 |
Lebanon |
0.990 |
Russia |
0.981 |
UAE |
0.957 |
Turkey |
0.957 |
Chile |
0.810 |
Colombia |
0.788 |
China (People's Republic of) |
0.778 |
United States |
0.745 |
Cameroon |
0.667 |
Libya |
0.667 |
Togo |
0.667 |
Guinea |
0.667 |
Paraguay |
0.645 |
Figure 4.14., which represents the most intensive routes of fake clothing, shows diversified flows with many economies implicated. It reveals that the largest share of fake clothing came from China and was destined for Brazil. It also included flows from China to the EU and the US, Hong Kong to the US and the EU, Turkey to the EU and Vietnam to the EU and the US.
Producers and transit points
Analysing the GTRIC-e indices as well as the RCAP-e and RCAT-e indices allows to identify China as the main producer of counterfeit clothing from 2017 to 2019 (see Table 4.25). China exports fake clothing directly worldwide or through transit points like Ukraine and the UAE.
Turkey was also identified as a producing economy, directly exporting counterfeit clothing mainly to the EU and Southeast Europe or through transit points such as Ukraine. Thailand and India also appear to be important producers of fake clothing and export to the EU and the US.
Table 4.25. Producers of counterfeit clothing, 2017-19
Producing economy |
Main destinations |
---|---|
China |
US |
EU |
|
Ukraine (transit point) |
|
Japan |
|
South America (Dominican Republic, Mexico, Chile, Brazil, Puerto Rico) |
|
Russia |
|
Gulf countries (Saudi Arabia, Kuwait, UAE – transit point) |
|
Southeast Europe (Bosnia and Herzegovina, Albania, Serbia, Kosovo) |
|
African countries (North Africa, South Africa, Cabo Verde, Mozambique, Tanzania, Uganda, Senegal) |
|
Turkey |
EU |
US |
|
Ukraine (transit point) |
|
Southeast Europe |
|
Russia |
|
Kuwait |
|
Australia |
|
Algeria |
|
Thailand |
US |
EU |
|
Mali |
|
Japan |
|
India |
EU |
US |
|
Libya |
|
Saudi Arabia |
Honk Kong (China) appears to be an important transit point for trade in counterfeit clothing, re-exporting it worldwide. Singapore and the UAE, which are also listed as hubs, re-export fake clothing to the EU, the US and Gulf countries. Finally, Ukraine seems to receive fake clothing from China and Turkey and re-exports it to EU and the US exclusively.
Table 4.26. Transit points for counterfeit clothing, 2017-19
Provenance |
Transit point |
Main destinations |
---|---|---|
China |
Hong Kong (China) |
US |
EU |
||
Suriname, Colombia, Jamaica, Chile, Ecuador |
||
Colombia |
||
Japan |
||
Ukraine |
||
Algeria |
||
Qatar |
||
Sierra Leone |
||
? |
Singapore |
US |
EU |
||
Saudi Arabia |
||
China |
UAE |
EU |
Saudi Arabia |
||
US |
||
China |
Ukraine |
EU US |
Turkey |
Estimating the total value of the trade in counterfeit and pirated goods
While the GTRIC does not give a direct measure of the overall magnitude of counterfeiting and piracy in world trade, it establishes relationships that can be useful. Specifically, the GTRIC matrix can be used to approximate the international trade in counterfeit and pirated goods.
For each good coming from a given provenance economy, the GTRIC assigns a probability of it being counterfeit relative to the most intensive combination of the product and the provenance economy. In theory, the absolute number of counterfeit trades for one product from a provenance economy can be integrated into the corresponding cell of the GTRIC matrix to yield the total value of world trade in the counterfeit and pirated product (see Annex B for more details).
However, determining this total value is currently impossible for two main reasons. First, the clandestine and changing nature of the trade in counterfeits makes any measurement exercise extremely difficult and highly imprecise, and second, operational data from customs offices are in most cases strictly confidential.
Nevertheless, the GTRIC matrix can be employed to gauge the ceiling value for the international trade in counterfeit and pirated goods. As in the (OECD/EUIPO, 2016[1]) report, this approach is taken by establishing an upper limit for the trade in counterfeits (in percentages) from the key provenance economies in product categories that are most vulnerable to counterfeiting. These values are called fixed points.
The last step in the analysis is to move from the relative intensities of counterfeiting to gauging the absolute values of counterfeit and pirated products in international trade. To do this, at least one probability of containing counterfeit and pirated products in a given product category from at least one provenance economy must be identified. Importantly, this identification must be based on information other than customs seizure data, given the several methodological biases these data suffer from.
In the 2008 study, this fixed point was determined based on ex ante assumptions that were debated with industry and enforcement representatives. At the time, this was the best possible methodological approach given the poor data quality.
For the analysis presented in the (OECD/EUIPO, 2016[1]) study, a set of confidential and structured interviews with customs officials was carried out. These interviews resulted in a large number of detailed quantitative and qualitative sets of information on customs operations that in turn allowed this report to determine the upper limit of the absolute number of imported counterfeit and pirated goods. Eventually, the fixed point was set at 27% for HS64 (footwear) from China.
For the present study, the fixed point used in the (OECD/EUIPO, 2016[1]) study was re-examined based on a focus group meeting and on interviews with customs officials from several EU member countries. These interviews confirmed that the fixed point picked for the analysis presented in the (OECD/EUIPO, 2016[1]) study is still relevant. Consequently, this fixed point was also used in the present analysis.
Of course, such a fixed point does not imply that on average 27% of footwear exported from China is counterfeit: it represents the upper level of a potential trade in counterfeits, meaning that within the HS64 category imported from China by some EU members, the share of counterfeits reached 27% in certain years. This result could then be extrapolated onto the yearly trade flows, which would give a basis to be applied to the GTRIC. Consequently, the results presented in this study refer to the upper possible limit of the trade in counterfeit and pirated goods.
The best estimates of this study, based on customs seizure data, indicate that counterfeit and pirated goods amounted to as much as USD 464 billion in world trade in 2019. It is important to note that this amount refers to the upper limit of the trade counterfeits. Consequently, as much as 2.5% of total world trade in 2019 was in counterfeit and pirated goods (Figure 4.15. ).
References
[9] OCDE (2008), The Economic Impact of Counterfeiting and Piracy, Éditions OCDE, Paris, https://doi.org/10.1787/9789264045521-en.
[8] OCDE/EUIPO (2021), Misuse of Containerized Maritime Shipping in the Global Trade of Counterfeits, Éditions OCDE, Paris,, https://doi.org/10.1787/e39d8939-en.
[12] OECD (2021), COVID-19 vaccine and the Threat of Illicit Trade, Chair’s Summary Note, https://www.oecd.org/gov/illicit-trade/summary-note-covid-19-vaccine-and-the-threat-of-illicit-trade.pdf.
[10] OECD (2020), Illicit Trade in a Time of Crisis. Chair’s Summary Note, https://www.oecd.org/gov/illicit-trade/oecd-webinar-illicit-trade-time-crisis-23-april.pdf.
[14] OECD (2020), Trade in Fake Medicines at the Time of the Covid-19 Pandemics. Chair’s Summary Note, https://www.oecd.org/gov/illicit-trade/oecd-fake-medicines-webinar-june-10-summary-note.pdf.
[13] OECD (2018), Governance Frameworks to Counter Illicit Trade, OECD Publishing, Paris,, https://doi.org/10.1787/9789264291652-en.
[7] OECD/EUIPO (2020), Trade in Counterfeit Pharmaceutical Products, Illicit Trade, OECD Publishing, Paris, https://dx.doi.org/10.1787/a7c7e054-en.
[3] OECD/EUIPO (2019), Trends in Trade in Counterfeit and Pirated Goods, OECD Publishing, Paris,, https://doi.org/10.1787/g2g9f533-en.
[6] OECD/EUIPO (2018), Misuse of Small Parcels for Trade in Counterfeit Goods: Facts and Trends, OECD Publishing, Paris, https://doi.org/10.1787/9789264307858-en.
[4] OECD/EUIPO (2018), Trade in Counterfeit Goods and Free Trade Zones: Evidence from Recent Trends, OECD Publishing, Paris/EUIPO, Alicante, https://doi.org/10.1787/9789264289550-en.
[5] OECD/EUIPO (2018), Why Do Countries Export Fakes?: The Role of Governance Frameworks, Enforcement and Socio-economic Factors, OECD Publishing, Paris/EUIPO, Alicante, https://doi.org/10.1787/9789264302464-en.
[2] OECD/EUIPO (2017), Mapping the Real Routes of Trade in Fake Goods, Illicit Trade, OECD Publishing, Paris, https://doi.org/10.1787/9789264278349-en.
[1] OECD/EUIPO (2016), Trade in Counterfeit and Pirated Goods: Mapping the Economic Impact, Illicit Trade, OECD Publishing, Paris, https://doi.org/10.1787/9789264252653-en.
[11] UNICRI (2020), “Cyber-crime during the COVID-19 Pandemic”, http://www.unicri.it/news/cyber-crime-during-covid-19-pandemic.