Title: Symmetrical normalisation of food insecurity challenges in developing countries

Authors: Kenneth David Strang

Addresses: W3-Research, RR3 Coral Reef Run, Saint Thomas, US Virgin Islands, 00802, USA

Abstract: An inductive mixed-method research design was applied, consisting of multiple correspondence analysis. Empirical data were collected to quantify food insecurity problems and remedies into a proposed solution. A statistically significant symmetrical model was developed containing two dimensions, technology transfer and software adoption, using six of the eight factors, producing an 11% effect size. The significant factors were: farm method training, application software technology, supply chain cooperation, export market barriers, climate drought problems, and road-transportation infrastructure issues. The two insignificant factors were government corruption and farm credit financial assistance. The study will need to be replicated to build additional validity and the methods should be triangulated before these results could reliably generalise broadly to other developing countries.

Keywords: food insecurity emergency; agriculture problems; Coronavirus; consensual qualitative research; CQR; symmetrical normalisation; multiple correspondence analysis; MCA.

DOI: 10.1504/IJAITG.2021.115774

International Journal of Agriculture Innovation, Technology and Globalisation, 2021 Vol.2 No.1, pp.62 - 84

Received: 10 Jun 2019
Accepted: 17 Jun 2020

Published online: 15 Jun 2021 *

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