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This study aims to explore whether there is an association between women's empowerment and the utilization of maternal healthcare facilities.
Abstract
Purpose
This study aims to explore whether there is an association between women's empowerment and the utilization of maternal healthcare facilities.
Design/methodology/approach
This study considered four indices for measuring women's empowerment – labor force participation index (LFPI), decision-making power index (DMPI), attitude toward partner’s violence index (ATPVI) and knowledge level index (KLI) – and three healthcare facilities – number of antenatal visits, delivery with healthcare facilities and postnatal checkup after delivery. Data extracted for this study were from the Bangladesh Demographic and Health Survey 2011 and 2014. A chi-square test was used for bivariate analysis, and a three-level logistic regression model was applied for multivariate analysis.
Findings
An increment was observed in the practice of all considered healthcare facilities, and the percentage of highly empowered women in DMPI decreased from 2011 to 2014. This study found that higher empowerment of women in DMPI, KLI and ATPVI significantly (p-value < 0.05) increases the utilization of healthcare facilities. High empowerment of mothers in LFPI was found negatively associated with facility delivery and positively associated with the postnatal checkup.
Originality/value
Women's empowerment was found significantly associated with the utilization of maternal healthcare facilities. This study is seeking the attention of corresponding authority to come up with a more effective intervention program to empower women to utilize maternal healthcare facilities.
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Hanan Nazier and Racha Ramadan
This paper aims to tackle an important question related to women’s economic empowerment in highly patriarchal societies like Egypt. The paper discusses individual, household…
Abstract
Purpose
This paper aims to tackle an important question related to women’s economic empowerment in highly patriarchal societies like Egypt. The paper discusses individual, household, wealth and location factors determining women empowerment, as measured by two dimensions: decision-making power and mobility.
Design/methodology/approach
Using the “Egypt Labor Market Panel Survey” (ELMPS) 2012, a Multiple Indicators Multiple Causes (MIMIC) model was estimated to study the main economic resources and social constraints that determine women empowerment as measured by the power of women over household decisions and her freedom of movement in Egypt.
Findings
Three key messages could be delivered. First, women’s own economic resources as captured by her employment status are an important source of her empowerment. Second, contrary to theoretical prediction education is not playing its expected role in developing awareness and transforming ideas concerning gender roles in Egypt. Third, the importance of social local context is fundamental for Egyptian women empowerment.
Originality/value
This study is an attempt to address some of the gaps in the literature for the Egyptian case, where there is a lack in rigorous studies measuring women empowerment and examining its determinates. This is done by first, tackling multiple dimension of women’s empowerment, decision-making inside households and freedom of mobility. Second, using MIMIC model, which is a modeling approach that allows for studying the relations between several causes of a given latent variable, such as “Empowerment” in our case, and a number of its possible indicators, without a directly observable measure of the latent variable. Third, using the most recent set of data; the ELMPS 2012 which has a special focus on women’s resources and agency that permits greater content validity of the multidimensional setup. Forth, the macro level differences in women’s status are tackled through using location dummy variables. Finally, given the important correlation between wealth level and women empowerment, the paper is considered a first attempt to analyze such impact by including a variable that captures the wealth level of the woman’s household as one determinant of empowerment.
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Siva Ganapathy Subramanian Manoharan, Rajalakshmi Subramaniam and Sanjay Mohapatra
Hemad Hamedi and Amir Mehdiabadi
The purpose of this paper is to find and prioritize human factors affecting entrepreneurial resilience.
Abstract
Purpose
The purpose of this paper is to find and prioritize human factors affecting entrepreneurial resilience.
Design/methodology/approach
The statistical population consists of prominent Iranian university professors in this field, and the statistical sample is ten of them randomly. A researcher-made questionnaire was used for data collection. After a comprehensive review of the theoretical foundations, the research model was formed with 5 main indices and 21 sub-indices. Fuzzy decision-making trial and evaluation laboratory (DEMATEL)-based (DANP) technique and MATLAB software was used for analysis.
Findings
Indicators of Values and Beliefs (A3) and Motivation Index (E5) as Influential Indicators and indicators of personal attributes (S1), formal and informal relationships (R2) and human capital (C4) are effective indicators of entrepreneurial resilience. In the final rankings, formal and informal relationships had the highest weight with 0.263 and the lowest with priority and motivation index with 0.080. In addition to the final rankings of the sub-indices, the indicators of first-hand experience, recognition of opportunities and consulting services were given the highest weight.
Practical implications
This study proposes that resilience is a real-life process and not just a list of each characteristic. All human beings have an innate ability to be resilient, but resilience is a learned and learned behavior, and the emphasis of experts is on the learning of various resilience skills.
Originality/value
This study contributes to the field of entrepreneurship by examining the institutional backgrounds of entrepreneurship resilience.
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Tripti Agarwal, Prarthna Agarwal Goel, Hom Gartaula, Munmum Rai, Deepak Bijarniya, Dil Bahadur Rahut and M.L. Jat
Increasing trends of climatic risk pose challenges to the food security and livelihoods of smallholders in vulnerable regions, where farmers often face loss of the entire crop…
Abstract
Purpose
Increasing trends of climatic risk pose challenges to the food security and livelihoods of smallholders in vulnerable regions, where farmers often face loss of the entire crop, pushing farmers (mostly men) out of agriculture in destitution, creating a situation of agricultural making agriculture highly feminization and compelling male farmers to out-migrate. Climate-smart agricultural practices (CSAPs) are promoted to cope with climatic risks. This study aims to assess how knowledge related to CSAPs, male out-migration, education and income contribute to the determinants of male out-migration and CSAPs adoption and how they respond to household food security.
Design/methodology/approach
Sex-disaggregated primary data were collected from adopter and non-adopter farm families. STATA 13.1 was used to perform principle component analysis to construct knowledge, yield and income indices.
Findings
Yield and income index of adopters was higher for men than women. The probability of out-migration reduced by 21% with adoption of CSAPs. An increase in female literacy by 1 unit reduces log of odds to migrate by 0.37. With every unit increase in knowledge index, increase in log-odds of CSAPs adoption was 1.57. Male:female knowledge gap was less among adopters. Non-adopters tended to reduce food consumption when faced with climatic risks significantly, and the probability of migration increased by 50% with a one-unit fall in the nutrition level, thus compelling women to work more in agriculture. Gender-equitable enhancement of CSAP knowledge is, therefore, key to safeguarding sustainable farming systems and improving livelihoods.
Social implications
The enhancement of gender equitable knowledge on CSAPs is key to safeguard sustainable farming systems and improved livelihoods.
Originality/value
This study is based on the robust data sets of 100 each of male and female from 100 households (n = 200) using well-designed and validated survey instrument. From 10 randomly selected climate-smart villages in Samastipur and Vaishali districts of Bihar, India, together with focus group discussions, the primary data were collected by interviewing both men and women from the same household.
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