Household Fuel Choice in Urban Kenya: A Multinomial Logit Analysis

Abstract This study applied a logistic regression model to determine the odds ratio of selecting clean versus unclean energy as main household fuel choice. also undertook establish coefficients factors determining A large microeconomic dataset from KIPPRA’s comprehensive and analysis on use patterns in Kenya (2010) was employed carry out analysis. multinomial logit choices cooking fuels urban Kenyan households. The results showed that addition income, there are several socio-demographic such education, gender, age were important To encourage use, authorities should public education campaigns, ensure availability these all areas avoid harmful effects biomass kerosene, more modern efficient appliances be made available at affordable rates forms energy.