Multidimensional Poverty, Approach by the Fuzzy Set Theory: The Case of Soubre and Gueyo in Cote D’Ivoire

26 Pages Posted: 15 Jan 2015

Date Written: January 15, 2015

Abstract

This study allowed us to measure poverty in terms of living conditions by using the fuzzy sets theory and breaking down this poverty by household characteristics. Subsequently, we evaluated the impact of the administration of land and the type of practiced cultures on the living conditions of cocoa farmer households. To make this, we have constructed a multidimensional poverty index with Multiple Component Analysis (MCA) and the fuzzy set theory. By using data from departments of Soubre and Gueyo from the survey on cocoa production systems and livelihoods of populations in areas of cocoa production, conducted by National School of Statistics and Applied Economics (NSSAE) of Abidjan, we evaluated to 43.25% the level of deprivation of the households in these cocoa farmer two cities. We also found that the main dimensions of displacement, ownership of durable goods, education, agricultural equipment, access to finance and training are the key drivers of poverty in households of cocoa farmers of Soubre and Gueyo. Similarly, associating other cultures to cocoa and the fact to own their land improve the living conditions of households cocoa farmers in these two cities.

Keywords: Living Conditions

Suggested Citation

Fottsoh Fokam, Arnold, Multidimensional Poverty, Approach by the Fuzzy Set Theory: The Case of Soubre and Gueyo in Cote D’Ivoire (January 15, 2015). XIV International Business and Economy Conference (IBEC) Bangkok, Thailand, January 5-8, 2015, Available at SSRN: https://ssrn.com/abstract=2550051 or http://dx.doi.org/10.2139/ssrn.2550051

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
90
Abstract Views
659
Rank
513,289
PlumX Metrics