Determinants Of Female Labor Force Participation: The Case Of West Shoa Zone Ambo Town, Oromia Regional State, Ethiopia

Abstract

Due to the challenges and problems increasing in today’s labor force participation, many countries are required to build long-term sustainable advantages for societies and to achieve the balance of demographic, economic and social factors aspects and to assured improvements of female labor force participation. Thus, the main objective of the study was to investigate the determinants of female labor force participation: the case of west shoa zone, Ambo town, Oromia regional state, Ethiopia. Taking the research objectives and questions into considerations, as the research approach quantitative research method as well as explanatory research design used for in this study. The study was used the combination of stratified random sampling technique, judgmental and convenience non-probabilistic sampling technique. The target population for this research was the total female aged as of labor force of west shoa zone ambo town, Oromia regional state, Ethiopia from Ambo town six kebeles. By using structured questionnaire, the data were collected from 396 Women’s of the Ambo town six kebeles with the response rate of 91.1%. Data collected through self-administered questionnaire and analyzed using SPSS version 26. Descriptive statistics was used to detail the profiles of the respondents and the factors that influence the female labor force participation elements. The descriptive statistics frequency result was show that the majorities of women, which accounted for 57.7% were participated in the formal sector while, the rest 33.9% and 8.4% were participated in informal sector and non-participated respectively. The inferential statistics was used to highlight the most important economic factors and social factors dimensions and to ascertain the correlations between them. The results indicated that the majorities of independent variables: categorized under demographic factors, Economic factors and Social factors had significant positive effect on female labor force participation. The result of Multinomial Logistic regression analysis also shows that the demographic, economic and social factors dimensions together explain 68% the variance in Female labor force participation. Finally, based on the finds of the study, conclude that Demographic factors, Economic factors and Social factors have a significant effect on Female Labor Force Participation; The Case of West Shoa Zone Ambo Town, Oromia Regional State, Ethiopia and recommendations were made to The Administration bodies of West Shoa zon