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학술논문

Modeling Supply & Demand in the Self-Storage Market Using Data Envelopment Analysis (DEA)

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영문명
발행기관
KINFORMS
저자명
Devin Echavarria Kyle Grund EunSu Lee
간행물 정보
『Management Review: An International Journal』Vol.19 No.2, 78~114쪽, 전체 37쪽
주제분류
사회과학 > 사회과학일반
파일형태
PDF
발행일자
2024.12.31
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국문 초록

This study investigates the drivers of structural demand for self-storage facilities and market attractiveness across New Jersey's diverse counties, using a refined dataset of 821 facilities from 2020 to 2023. By focusing exclusively on structural demand, this analysis intentionally excludes cyclical demand fluctuations caused by economic cycles, providing a clearer picture of long-term market dynamics. Key variables influencing Net Rentable Square Feet (NRSF) per capita and facilities per capita were identified through regression analysis and subsequently analyzed via Data Envelopment Analysis (DEA) to assess the overall efficiency of the self-storage industry in New Jersey’s 21 counties. This study innovatively fills a significant industry gap by utilizing NRSF per capita and facilities per capita as proxies in the DEA, where direct unit data availability is often scarce. Findings indicate a marked reliance on self-storage correlated with urban densification and demographic changes. Efficiency scores revealed varying levels of industry success in meeting these demands, offering urban planners and the self-storage industry valuable data-driven insights for strategic development in the evolving urban landscape.

영문 초록

목차

INTRODUCTION
LITERATURE REVIEW
DATA AND ANALYSIS
METHODOLOGY
CONCLUSION
REFERENCES

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APA

Devin Echavarria,Kyle Grund,EunSu Lee. (2024).Modeling Supply & Demand in the Self-Storage Market Using Data Envelopment Analysis (DEA). Management Review: An International Journal, 19 (2), 78-114

MLA

Devin Echavarria,Kyle Grund,EunSu Lee. "Modeling Supply & Demand in the Self-Storage Market Using Data Envelopment Analysis (DEA)." Management Review: An International Journal, 19.2(2024): 78-114

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