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Record
Title
The emperor’s old clothes : a consumer behaviour-based case study on second-hand clothing as a sustainable fashion consumption practice in Italy
Type
Student Paper
Publ. year
2017
Author/s
Tafuri, Ilaria
Department/s
LUCSUS (Lund University Centre for Sustainability Studies)
In LUP since
2017-06-21
Downloads

Total This Year This Month
1630 165 12
 Downloads per Country

United States of America
360 (22%)
Italy
162 (10%)
United Kingdom of Great Britain and Northern Ireland
110 (7%)
Sweden
85 (5%)
Netherlands (Kingdom of the)
72 (4%)
Germany
72 (4%)
China
66 (4%)
Philippines
53 (3%)
France
38 (2%)
Turkiye
35 (2%)
Unknown
33 (2%)
India
31 (2%)
Russian Federation
29 (2%)
Brazil
27 (2%)
Belgium
23 (1%)
Bulgaria
23 (1%)
Australia
19 (1%)
Viet Nam
18 (1%)
Nigeria
18 (1%)
South Africa
16 (1%)
Canada
16 (1%)
Pakistan
16 (1%)
Czechia
15 (1%)
Malaysia
15 (1%)
Indonesia
13 (1%)
Iran
12 (1%)
Spain
12 (1%)
Hong Kong (China)
12 (1%)
Singapore
12 (1%)
Denmark
11 (1%)
South Korea
11 (1%)
Romania
11 (1%)
Thailand
10 (1%)
Portugal
10 (1%)
Japan
9 (1%)
Egypt
8 (0%)
Switzerland
8 (0%)
Norway
7 (0%)
Finland
7 (0%)
Ecuador
7 (0%)
Morocco
7 (0%)
Ireland
6 (0%)
Argentina
5 (0%)
Taiwan (China)
5 (0%)
Kenya
5 (0%)
Cote d'Ivoire
5 (0%)
Ukraine
5 (0%)
Hungary
5 (0%)
Latvia
5 (0%)
Colombia
5 (0%)
Lithuania
4 (0%)
Israel
3 (0%)
Poland
3 (0%)
Iceland
3 (0%)
Bangladesh
3 (0%)
Austria
3 (0%)
Venezuela
2 (0%)
Lesotho
2 (0%)
Saudi Arabia
2 (0%)
Chile
2 (0%)
Sri Lanka
2 (0%)
Costa Rica
2 (0%)
Ghana
2 (0%)
Zimbabwe
2 (0%)
Peru
2 (0%)
Greece
2 (0%)
Cyprus
2 (0%)
Malawi
1 (0%)
Bhutan
1 (0%)
Angola
1 (0%)
Slovenia
1 (0%)
Senegal
1 (0%)
Uzbekistan
1 (0%)
Georgia
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Dominican Republic
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Madagascar
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Tanzania, the United Republic of
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Kuwait
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Azerbaijan
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Lao People's Democratic Republic
1 (0%)
Croatia
1 (0%)
Tunisia
1 (0%)
United Arab Emirates
1 (0%)
Panama
1 (0%)
Uruguay
1 (0%)
Mexico
1 (0%)
Macedonia
1 (0%)
Belarus
1 (0%)
Ethiopia
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-09-15 11:13:48