The effect of an objective weighting of the global food security index’s natural resources and resilience component on country scores and ranking
Valiant O Odhiambo,
Sheryl L Hendriks () and
Eness P Mutsvangwa-Sammie
Additional contact information
Valiant O Odhiambo: University of Pretoria
Sheryl L Hendriks: University of Pretoria
Eness P Mutsvangwa-Sammie: University of Pretoria
Food Security: The Science, Sociology and Economics of Food Production and Access to Food, 2021, vol. 13, issue 6, No 1, 1343-1357
Abstract:
Abstract Composite indicators have gained popularity in various research areas. However, the determination of an appropriate weighting method is challenging. Subjective weighting methods are criticised for their potential bias that may reduce stakeholders’ trust in the results of a composite index. By contrast, objective weighting processes are perceived to provide unbiased results that may overcome trust issues. The Global Food Security Index (GFSI) is a composite indicator that measures the comparative level of food insecurity for 113 countries. The initial components of the GFSI included the affordability, availability and quality and safety components. In 2017, the GFSI added a fourth component for natural resources and resilience (NRR) as a risk to food security. The Economist Intelligence Unit’s (EIU) panel of experts uses a subjective weighting of indicators in the GFSI model. This study set out to assess whether an objective weighting of the NRR component of the GFSI significantly changed the country scores and ranks compared to the subjective weighting process. The GFSI data was analysed using a principal component analysis (PCA) to derive objectively weighted NRR scores and ranks. The objectively and subjectively weighted NRR ranks were strongly correlated (rho = 0.831), implying that the GFSI model was not strongly statistically biased. The study concluded that subjective weighting of the NRR component of the GFSI may still provide relatively fair country scores and ranks. However, an objective weighting of the NRR component could improve the reliability of the NRR component of the GFSI and build greater trust.
Keywords: Economist intelligence unit global food security index; Natural resources and resilience; Adjusted overall global food security index; Principal components analysis; Food security (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s12571-021-01176-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ssefpa:v:13:y:2021:i:6:d:10.1007_s12571-021-01176-6
Ordering information: This journal article can be ordered from
http://www.springer. ... ulture/journal/12571
DOI: 10.1007/s12571-021-01176-6
Access Statistics for this article
Food Security: The Science, Sociology and Economics of Food Production and Access to Food is currently edited by R.N. Strange
More articles in Food Security: The Science, Sociology and Economics of Food Production and Access to Food from Springer, The International Society for Plant Pathology
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().