Explore U.S. Retailers’ Sourcing Strategies for Clothing Made from Recycled Textile Materials
Abstract
:1. Introduction
2. Literature Review
2.1. Clothing Production and Trade Patterns
2.2. U.S. Retailers’ Sourcing Factors for Clothing
2.3. Supply and Demand for Clothing Made from Recycled Textile Materials
2.4. U.S. Retailers’ Sourcing Strategies for Clothing Made from Recycled Textile Materials
3. Methods and Data
3.1. Data Collection
- Assortment diversity: the number of SKUs available for the clothing item (e.g., Assortment diversity = 5 means a clothing item has five different sizes or colors). When a clothing item includes more SKUs (e.g., having more sizing or color options), its assortment is more diversified [49].
- Product sophistication: the technical sophistication of making the clothing item. Based on EDITED’s categorization, Product sophistication used a 3-point rating scale: simple products = 1 (i.e., T-shirts, shirts, swimwear, and hosiery); medium sophisticated products = 2 (i.e., bottoms and tops other than T-shirts and shirts); sophisticated products = 3 (i.e., outwear, dresses, and suits).
- Market segment: the market segment of the clothing item. Based on EDITED’s classification, Market segment used a 4-point rating scale: if a clothing item targeted the value market = 1; mass market = 2; premium market = 3; luxury market = 4.
- Retail price: a clothing item’s listed original retail price according to EDITED.
- Development: according to information from the product label, if the clothing was made by a developed country = 1 and if it was made by a developing country = 0. The country grouping was based on the United Nations [50] classification.
- Region: the origin of where the clothing item was made, such as Asia, Europe, America, and Africa [50].
3.2. Methods
4. Results and Discussion
4.1. Descriptive Analysis
4.2. MANOVA Analysis
- Regarding Assortment diversity, the results suggested that imports from Asia had a more diverse assortment (e.g., sizing or color options) than those from other regions statistically at the 99% confidence level (p-value < 0.01). In comparison, imports from Africa were with the least assortment diversity statistically (p-value < 0.01). Further, the assortment diversity of imports from America and the EU was in the middle (i.e., less diverse than Asia but more diverse than Africa) and statistically similar at the 99% confidence level (p-value > 0.01).
- Regarding Product sophistication, the results suggested that U.S. retailers’ imports from Asia included more complex product categories (e.g., outwear) than other world regions statistically at the 99% confidence level (p-value < 0.01). In comparison, imports from America and Africa included more simple product categories (e.g., T-shirt or swim shorts) than other world regions statistically (p-value < 0.01). Additionally, the imports from the EU, on average, included less sophisticated categories than Asia but more sophisticated categories than America and Africa statistically at the 99% confidence level (p-value < 0.01).
- Regarding Market segment and Retail price, the results suggested that U.S. retailers’ imports from Asia and America tended to focus on relatively lower-priced items targeting the mass and value market segments statistically at the 99% confidence level (p-value < 0.01). In comparison, those imports from the EU and Africa included more higher-priced items targeting the luxury and premium market segment statistically at the 99% confidence level (p-value < 0.01).
5. Conclusions and Future Research Agendas
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Exporters | Development | Region | Number of Observations | Percent |
---|---|---|---|---|
USA | Developed | America | 490 | 14.8% |
Vietnam | Developing | Asia | 380 | 11.5% |
Sri Lanka | Developing | Asia | 350 | 10.6% |
China | Developing | Asia | 329 | 9.9% |
Italy | Developed | Europe | 218 | 6.6% |
UK | Developed | Europe | 196 | 5.9% |
Portugal | Developed | Europe | 166 | 5.0% |
Bulgaria | Developing | Europe | 144 | 4.4% |
Mexico | Developing | America | 141 | 4.3% |
Canada | Developed | America | 137 | 4.1% |
El Salvador | Developing | America | 88 | 2.7% |
Japan | Developed | Asia | 77 | 2.3% |
Bangladesh | Developing | Asia | 73 | 2.2% |
India | Developing | Asia | 66 | 2.0% |
Nicaragua | Developing | America | 56 | 1.7% |
Indonesia | Developing | Asia | 51 | 1.5% |
Thailand | Developing | Asia | 40 | 1.2% |
Tunisia | Developing | Africa | 36 | 1.1% |
Turkey | Developing | Europe | 34 | 1.0% |
Lithuania | Developed | Europe | 32 | 1.0% |
Morocco | Developing | Africa | 31 | 0.9% |
Colombia | Developing | America | 30 | 0.9% |
Europe | Developed | Europe | 22 | 0.7% |
Spain | Developed | Europe | 22 | 0.7% |
Switzerland | Developed | Europe | 20 | 0.6% |
Cambodia | Developing | Asia | 18 | 0.5% |
Hungary | Developed | Europe | 11 | 0.3% |
Romania | Developing | Europe | 11 | 0.3% |
Greece | Developed | Europe | 9 | 0.3% |
Jordan | Developing | Africa | 9 | 0.3% |
France | Developed | Europe | 7 | 0.2% |
Serbia | Developing | Europe | 5 | 0.2% |
Poland | Developing | Europe | 3 | 0.1% |
Moldova | Developing | Europe | 2 | 0.1% |
Philippines | Developing | Asia | 2 | 0.1% |
South Korea | Developed | Asia | 1 | <0.1% |
Indicators | Developing Countries (n = 1899) | Developed Countries (n = 1408) | Asia (n = 1387) | America (n = 994) | Europe (n = 900) | Africa (n = 76) |
---|---|---|---|---|---|---|
Assortment diversity | 5.10 | 4.07 | 5.2 | 4.4 | 4.4 | 1.1 |
Product sophistication | 1.99 | 1.78 | 2.1 | 1.6 | 2.0 | 1.1 |
Market segment | 2.96 | 2.65 | 2.79 | 2.56 | 3.09 | 3.76 |
Retail price | USD 179.95 | USD 312.47 | USD 174.0 | USD 131.7 | USD 440.8 | USD 253.2 |
Statistics/Variables | Development | Region |
---|---|---|
Pillai’s trace | 0.115 (0.001) ** | 0.198 (0.001) ** |
Wilks’ lambda | 0.885 (0.001) ** | 0.811 (0.001) ** |
Hotelling–Lawly trace | 0.130 (0.001) ** | 0.223 (0.001) ** |
Roy’s greatest root | 0.130 (0.001) ** | 0.165 (0.001) ** |
Variables | Development | Region |
---|---|---|
Assortment diversity | 119.09 (0.001) ** | 106.90 (0.001) ** |
Product sophistication | 0.38 (0.845) | 34.49 (0.001) ** |
Market segment | 193.33 (0.001) ** | 105.31 (0.001) ** |
Retail price | 21.75 (0.001) ** | 48.38 (0.001) ** |
Comparison | Assortment Diversity | Product Sophistication | Market Segment | Retail Price |
---|---|---|---|---|
Asia vs. America | 0.77 (0.000) ** | 0.56 (0.000) ** | 0.23 (0.001) ** | 42.31 (0.060) |
Asia vs. Europe | 0.73 (0.000) ** | 0.16 (0.000) ** | −0.30 (0.000) ** | −255.81 (0.000) ** |
Asia vs. Africa | 4.05 (0.000) ** | 1.02 (0.000) ** | −0.98 (0.000) ** | −79.15 (0.336) |
America vs. Europe | −0.04 (0.997) | −0.40 (0.000) ** | −0.53 (0.000) ** | −309.13 (0.000) ** |
America vs. Africa | 3.29 (0.000) ** | 0.46 (0.000) ** | −1.20 (0.000) ** | −121.46 (0.054) |
Europe vs. Africa | 3.33 (0.000) ** | 0.86 (0.000) ** | −0.68 (0.000) ** | 187.67 (0.001) ** |
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Lu, S. Explore U.S. Retailers’ Sourcing Strategies for Clothing Made from Recycled Textile Materials. Sustainability 2023, 15, 38. https://doi.org/10.3390/su15010038
Lu S. Explore U.S. Retailers’ Sourcing Strategies for Clothing Made from Recycled Textile Materials. Sustainability. 2023; 15(1):38. https://doi.org/10.3390/su15010038
Chicago/Turabian StyleLu, Sheng. 2023. "Explore U.S. Retailers’ Sourcing Strategies for Clothing Made from Recycled Textile Materials" Sustainability 15, no. 1: 38. https://doi.org/10.3390/su15010038
APA StyleLu, S. (2023). Explore U.S. Retailers’ Sourcing Strategies for Clothing Made from Recycled Textile Materials. Sustainability, 15(1), 38. https://doi.org/10.3390/su15010038