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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국통계학회 CSAM(Communications for Statistical Applications and Methods) CSAM(Communications for Statistical Applications and Methods) 제33권 제3호
- 발행연도
- 2026.5
- 수록면
- 293 - 311 (19page)
이용수
초록· 키워드
Food security is a crucial indicator of a country’s development, influenced by various social, economic, and health factors. This study aims to analyze the factors affecting the food security index (FSI) in Indonesia by considering spatial variations using eigenvector spatial filtering (ESF) approach. This method provides more stable parameter estimates compared to global regression and geographically weighted regression (GWR), which often suffer from multicollinearity and autocorrelation issues. The study utilizes data from 514 districts/cities in Indonesia with eight explanatory variables, including life expectancy, poverty rate, and population growth. The results indicate that the random effect spatial filtering varying coefficient (RE ESF-VC) model achieves a higher goodness-of-fit compared to the GWR, and random effect eigenvector spatial filtering (RE ESF) models, with an adjusted R² of 0.801. The model identifies that the key factors influencing FSI vary spatially, with the Percentage of Poor Population being the most locally significant factor. These findings provide valuable insights for local governments in designing more effective and region-specific food security policies.
#food security
#food security index
#spatial filtering
#RE ESF-VC
#geographically weighted regression
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목차
- Abstract
- 1. Introduction
- 2. Data and Methods
- 3. Results and Discussion
- 4. Conclusion
- References
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