| Title | Survey data to assess consumers' attitudes towards circular economy and bioeconomy practices: A focus on the fashion industry |
|---|---|
| ID_Doc | 2317 |
| Authors | D'Adamo, I; Colasante, A |
| Title | Survey data to assess consumers' attitudes towards circular economy and bioeconomy practices: A focus on the fashion industry |
| Year | 2022 |
| Published | |
| Abstract | This data article presents data collected through a survey with the aim of understanding consumers' behavior in the fashion industry. The analyses of these data are elaborated in the article "The circular economy and bioeconomy in the fashion sector: Emergence of a "sustainability bias""(Colasante and Adamo 2021). As highlighted in the literature, the fashion industry contributes significantly to environmental pollution in all steps, from the production to the delivery. Often, consumers are not aware of the impact of their fashion habits on the environment and this led to the emergence of the well-known fast fashion phenomenon. Even though there is a lack of evidence on this topic, shifting consumers to embrace bioeconomy as well as circular economy principles constitutes a possible solution to reduce the impact of the fashion sector on the environment. We collected these data on consumers' habits and preferences regarding both bioeconomy and circular economy by means of a questionnaire in which a total of 402 Italian people took part by using Amazon Mechanical Turk (MTurk) platform. This paper aims at presenting the data split in the three main blocks: (i) consumer perception; (ii) purchasing habits; and (iii) consumers' willingness to pay (WTP). The results obtained are of interest to citizens, business, academics and policy makers to understand consumers' perception of sustainability in the fashion industry. The proposed dataset can be replicated on a global scale, on specific market segments of the fashion industry and can be used to compare the perception of the circular bioeconomy in other sectors. (C) 2022 The Author(s). Published by Elsevier Inc. |
| https://doi.org/10.1016/j.dib.2022.108385 |
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