인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
The fashion industry must adapt to increasingly unpredictable weather events caused by climate change. Accurate demand forecasting is essential for achieving Sustainable Development Goals. This study examines the influence of key weather factors on seasonal clothing expenditures in Seoul and Busan, South Korea utilizing both weather and economic data from 2010 to 2022. Hierarchical regression analysis is used to examine the impact of these weather factors on clothing expenditures for each season. The findings indicate that clothing expenditures vary significantly by season. The clothing sentiment index has a positive impact on expenditures across all seasons. While clothing expenditure in spring and winter shows only minor sensitivity to weather changes, temperature fluctuations in summer and fall have a more significant impact. Consumers in Seoul are sensitive to variations in relative humidity during summer, while those in Busan show no significant relationship between relative humidity and their purchasing behavior. Additionally, clothing expenditure in Seoul is more sensitive to changes in the wet bulb globe temperature compared to those in Busan. This study carries important practical implications, offering the potential for more accurate demand forecasting and improved business decision-making within the fashion industry.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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