Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/305322 
Autor:innen: 
Erscheinungsjahr: 
2024
Verlag: 
ZBW – Leibniz Information Centre for Economics, Kiel, Hamburg
Zusammenfassung: 
Resilience thinking has gained prominence in research and policy debates in food security analysis. This article aims to estimate the effect of household resilience capacity on food security outcomes. The manuscript uses the Cambodia Living Standard Measurement – Plus Survey 2019-2020. The measurement of resilience capacity is done through Resilience Index Measurement and Analysis – II by FAO. In the RIMA approach, the manuscript also applies Latent Profile Analysis (LPA) to cluster households, categorizing homogenous resilience levels through “Low Resilient,” “Medium Resilient,” and “High Resilient” profiles. In the estimation strategy, the current study proposes a step-by-step analytical approach for using the propensity score matching (PSM) techniques with LPA to draw causal effects of resilience profiles on dietary diversity and food expenditure per capita. The findings generally confirm that “Medium Resilient” and “High Resilient” households have positive effects on food security outcomes compared to those labelled as “Low Resilient” households.
Schlagwörter: 
Resilience capacity
food security
latent profile analysis
average treatment effect
propensity score matching
JEL: 
Q18
Q13
O20
C01
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.44 MB





Publikationen in EconStor sind urheberrechtlich geschützt.