| Literature DB >> 29033873 |
Marloes A Huis1, Nina Hansen1, Sabine Otten1, Robert Lensink2,3.
Abstract
Women's empowerment is an important goal in achieving sustainable development worldwide. Offering access to microfinance services to women is one way to increase women's empowerment. However, empirical evidence provides mixed results with respect to its effectiveness. We reviewed previous research on the impact of microfinance services on different aspects of women's empowerment. We propose a Three-Dimensional Model of Women's Empowerment to integrate previous findings and to gain a deeper understanding of women's empowerment in the field of microfinance services. This model proposes that women's empowerment can take place on three distinct dimensions: (1) the micro-level, referring to an individuals' personal beliefs as well as actions, where personal empowerment can be observed (2) the meso-level, referring to beliefs as well as actions in relation to relevant others, where relational empowerment can be observed and (3) the macro-level, referring to outcomes in the broader, societal context where societal empowerment can be observed. Importantly, we propose that time and culture are important factors that influence women's empowerment. We suggest that the time lag between an intervention and its evaluation may influence when empowerment effects on the different dimensions occur and that the type of intervention influences the sequence in which the three dimensions can be observed. We suggest that cultures may differ with respect to which components of empowerment are considered indicators of empowerment and how women's position in society may influence the development of women's empowerment. We propose that a Three-Dimensional Model of Women's Empowerment should guide future programs in designing, implementing, and evaluating their interventions. As such our analysis offers two main practical implications. First, based on the model we suggest that future research should differentiate between the three dimensions of women's empowerment to increase our understanding of women's empowerment and to facilitate comparisons of results across studies and cultures. Second, we suggest that program designers should specify how an intervention should stimulate which dimension(s) of women's empowerment. We hope that this model inspires longitudinal and cross-cultural research to examine the development of women's empowerment on the personal, relational, and societal dimension.Entities:
Keywords: agency; culture; efficacy; empowerment; gender relations; microfinance; women
Year: 2017 PMID: 29033873 PMCID: PMC5625566 DOI: 10.3389/fpsyg.2017.01678
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Overview of reported operationalisations of women’s empowerment discussed in this article.
| Dimension | Construct | Measures | Reference |
|---|---|---|---|
| Personal | Locus of control | A scale ranging from 0 (no control) to 3 (a strong personal control belief) was constructed by the sum of three items (adapted from | |
| Self confidence | A scale was constructed based on a positive response to at least one of two questions. Specifically, participants were asked to indicate their confidence on a scale ranging from 1 (not at all) to 5 (very much). | ||
| Self-esteem | Self-esteem was assessed as one of the seven indicators of self-empowerment. Participants were asked to indicate on a scale from 1 (worse than before) to 5 (very good impact) the change they’d experienced since becoming a member of the MFI. | ||
| Self-efficacy | A scale ranging from 0 (no self-efficacy) to 3 (strong self-efficacy) was constructed by the sum of three scores. For each item participants were asked to indicate how many of the suggested actions they are comfortable doing. | ||
| Relational | Domestic violence | Data on violence was collected through structured interviews. Information on both physical violence (e.g., | e.g., |
| Bargaining power | Bargaining power was assessed with 12 items assessing whether women were the primary decision-makers on 12 different expenditures or not. A distinction was made between total decisions (e.g., | e.g., | |
| Freedom of mobility | Participants were asked how they go to banks, markets, health centers, or places outside the village (except for their parents’ place). Participants were asked to choose one of the four answer options: does not go (=0), goes with husband or son (=1), goes with women (= 2), or goes alone (=3). | ||
| Social network size | Participants were asked to indicate their social networks size by naming groups that they are an active member of (e.g., | ||
| Social capital | Data on social capital was collected through semi-structured interviews. Participants were asked to reflect on any changes – before and after group membership – in four domains, such as | ||
| Collective action involvement | Collective action involvement was assessed with four items assessing whether women engage in problem solving at the community level. Participants were asked to indicate whether they would act if she faces certain problems (e.g., | e.g., | |
| Societal | Percentage of female microfinance borrowers | Data for 435 microfinance institutions was obtained from MixMarket. The percentage of female borrowers was calculated based on the total loan portfolios of the microfinance institutions. | e.g., |
| Percentage of female borrowers with school-aged children in school | The percentage of female borrowers with school-aged children in school was calculated by dividing the number of female borrowers with school-aged children who state that all children are in school by the total number of female borrowers with school-aged children. | ||
| Percentage female leadership in MFIs | Data for 329 microfinance institutions was obtained from MixMarket. The percentage of female leadership in microfinance institutions was based on three categories for female leadership: | ||
| Percentage female staff promotion and attrition | The percentage female staff promotion and attrition was calculated by dividing the number of women voluntarily leaving the institution or the number of women promoted by the total number of women. | ||
| Average loan balance for female borrowers | The average loan balance for female borrowers was calculated by dividing female borrowers’ gross loan portfolio by the total number of female borrowers. |