Cities, as epicenters of resource consumption and waste production, play a crucial role in spearheading the transition towards a circular economy, where waste is minimized and the lifecycle of resources is maximized. Fashion industry activities, in particular, are predominantly concentrated in the urban context, from design activities to consumption and disposal. Given their role as centers of entrepreneurship and innovation, what opportunities and challenges do cities present in facilitating an industrial paradigm shift towards circularity in the fashion industry? How do entrepreneurial actors and supportive intermediaries pave the way toward a circular system?
This dissertation examines the processes of entrepreneurship and the dynamics of learning that propel the fashion industry toward a circular economy, or circular fashion. It brings together literature on circular economy businesses and entrepreneurship with economic geography insights into the localized processes of innovation and entrepreneurship within cultural and creative industries. The three papers presented contribute to the expanding field of research and practice in the circular economy and circular fashion by underscoring the significance of proximity relations, entrepreneurial initiatives, and the dynamics of knowledge intermediation.
Through a systematic literature review and a case study of New York City’s fashion industry, the three papers cultivate a nuanced understanding on the micro-dynamics of circular fashion entrepreneurship and relational processes that accompany the transition towards circular fashion. They highlight the importance of the interplay between geographical and non-geographical proximities, place-based entrepreneurial initiatives, and knowledge coordination efforts, offering a comprehensive view of the circular fashion landscape and policy implications.
Identifer | oai:union.ndltd.org:columbia.edu/oai:academiccommons.columbia.edu:10.7916/emvh-rn39 |
Date | January 2024 |
Creators | Kim, Younghyun |
Source Sets | Columbia University |
Language | English |
Detected Language | English |
Type | Theses |
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