Business Growth and Structural Transformation in Aging-Friendly Product Manufacturing: Evidence from 2021-2022

• 발행기관: 한국식품보건융합학회
• 저자명: Woo-Taeg KWON Jin-Tai PARK Hee-Sang YU Lee-Seung KWON
• 간행물 정보: 『식품보건융합연구』제11권 2호, 17~30쪽, 전체 14쪽
• 주제분류: 복합학 > 과학기술학
• 파일형태: PDF
• 발행일자: 2025.03.31

국문 초록

Purpose :This study analyzes the growth and structural changes in the aging-friendly product manufacturing industry between 2021 and 2022. It explores business expansion, shifts in ownership, and sector-specific trends, aiming to determine statistical significance. Research Design & Data: Using secondary data from national statistical sources, the study conducts quantitative analysis through descriptive statistics, Chi-square tests, and paired T-tests. It examines business registration records across three sectors: Daily Living Products, Personal Healthcare Products, and Residential Equipment Manufacturing. Research Results: The industry experienced notable growth, with businesses increasing across all segments. A paired T-test (p = 0.0086) confirms that this growth is statistically significant. Individual businesses grew by 27.43%, especially in Daily Living Products (+3.5 percentage points). A Chi-square test (χ² = 2131.04, p < 0.001) reveals significant shifts in ownership structures, particularly the growing presence of corporate firms in Residential Equipment Manufacturing (+1.7 percentage points). Conclusion: The findings indicate a rise in entrepreneurial activity in consumer-focused sectors and corporate consolidation in capital-intensive areas. Policy initiatives supporting startups and SMEs, alongside regulatory and technological changes, have influenced these trends. Future research should investigate consumer demand patterns, long-term growth, and international comparisons to better understand the aging-friendly industry’s trajectory.

목차

1. Introduction

2. Literature Review

3. Research Methods

4. Research Results and Discussion

5. Conclusions

References

키워드

Aging-friendly industry Business Ownership structure Statistical analysis Policy implications