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This paper examines the determinants of children’s schooling under imperfect credit market conditions in Cameroon, with a particular focus on the role of monetary and non-monetary shocks.

The study uses microeconomic data from the fourth Cameroonian Household Survey (ECAM IV) conducted in 2014 by the National Institute of Statistics (INS) and an instrumental variable Probit model to demonstrate its point.

The results show that uncertainty about household income as measured by transitory income and declining household income decreases the probability of children attending school in Cameroon. The same is true for increasing household size. Nevertheless, access to the credit market is a factor in household resilience to shocks.

The purpose of this article is to contribute to the identification of the determinants of children’s schooling in Cameroon in a situation of credit market imperfection. The aim is to examine the influence of different household vulnerability factors and not only income shocks, which have long been considered the dominant factor.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2024-0028

This research paper aim at providing a new approach of calculating the destinations competitiveness index. How can these variables been aggregated in other to reflect the realities of very distinct productive environments? We assume that: The weighting of variables provides a better measure of destinations competitiveness. Base on the Neo-Technological theory, after a life cycle differentiation, we used a panel data approach to calculate the weight of each variable as the spearman correlation coefficient of its contribution to tourism inflows growth. After integrating these weights, we came to the point that by applying an appropriate weight to its components, we end up having a competitiveness index that significantly improve the correlation between competitiveness and tourism inflows growth.