Impact evaluation of labor force transfer motivation identification in forest areas based on fuzzy control algorithm

The study suggests a fuzzy control theory based method to identify the motivations of labor transfer in forest areas and assess their impact on the welfare of households. A multidimensional motivation system (economic, policy, socio-cultural) is created and quantified indicator system is converted into fuzzy sets by affiliation functions. The fuzzy inference model is built-up with Analytic Hierarchy Process (AHP) to derive factor weights and to accurately determine labors transfer motivations and path preferences. Empirical analysis by the data obtained from the National Bureau of Statistics and case studies in the regions confirms the effectiveness and applicability of the proposed model. The results show that most of the labourers would like to work in their immediate town and city or to be self employed in their hometown. Economic income turns out to be the most important factor in the decision for labour transfer, with education and healthcare having a significant impact on labour migration choices. In addition, having labour transferred has a positive impact on household welfare by way of higher income, better educational investment, and greater satisfaction with health service. In general, the findings support the positive contribution of labor mobility on the well-being of households in forest areas.