Esso-Hanam Atake and Akoété Ega Agbodji
University of Lomé, Togo

Year: July 2017
Volume: 27 No. 1
Pages: 97-106


Abstract: In Togo, the informal sector accounts for 84% of the workforce with an annual growth rate of 5%. Despite the importance of the informal sector workers in the Togolese productive activity, they do not benefit from social protection. To address this situation, Act No. 2011-006 was adopted by the Togolese National Assembly in 2011 to provide social security to informal sector workers. However, this was not applied, which means they are still not covered by social protection. This paper seeks to estimate the willingness-to-pay (WTP) of informal workers to have access to social protection services offered by National Social Security Fund (CNSS) and to analyse determinants of WTP. Data was obtained from a cross-sectional representative households’ survey involving 7,346 households in rural and urban CBMS sites in Togo. We used contingent valuation (CV) method in order to estimate the WTP. A logistic regression was used to analyse determinants of WTP. The results indicate that 84.5% of jobs in the areas studied were informal. It reveals that a significant proportion of women were engaged in informal employment wherein 88.7% were in urban areas and 94.2% were in rural areas. Also, it was interesting to note that 90.9% of informal sector workers were willing to subscribe to social protection services. Though many were willing, about 49.8% mentioned that they were only interested if the fee is below USD 2.55 per month. Moreover, it was observed that men were willing to pay for higher contribution than women. Further, more than half of the informal sector workers were interested to have occupational disease insurance while 81.9% were interested in accident work insurance. Meanwhile, a logit regression was used to estimate the relationship between the individual’s WTP and the explanatory variables, which include income, household size, age, education, gender, location, and health status. Overall, the results indicate that income and education were the key determinants of households’ WTP.