“…The first main contribution related econometric methods employed that enabled development or assembling of valid data set and then uses various descriptive statistical and logit regression to analyse determinants of the decision to engage in artisanal employment and the intensity of participation. As far as we know, this issue has not been directly examined in artisan entrepreneurship research by applying logit model as previous studies focused on investigating the goals and values of craft practitioners (Bouette and Magee, 2015); examining the goals of contemporary artisans (Tregear, 2005); describing the current situation of the handicraft market (Forero-Montaña et al, 2017); and as a means to promote long-term development of the rural economy (Dana, 1999;Lyee and Cowling, 2015). To determine the factors influencing the decision to engage in artisanal activities we employed socio-economic (independent) variables such as age, sex, education (see, for example, Kabongo and Okpara, 2010), technical education, household size, farm size, access to credit, access infrastructure, etc.…”