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Dividend payout among Nigerian firms: Do female directors matters?
Copyright policy )Dividend payout among Nigerian firms: Do female directors matters?
This study explores how female director(s) affect the decision to pay dividend in the sub-Saharan Africa. The study specifically employs non-financial firms listed on the Nigerian Stock Exchange Market from 2009-2015 and logit regression as the technique for data analysis. The independent variable of interest in the study is female director. Consistent with the hypothesis, the study found strong association that firms with at least one female director on board are more likely to affect the payment of dividends. The findings subsist after the commencement of the 2011 CCG and when firms with negative earnings were excluded from the main sample. Furthermore, the results do not change when the model was re-estimated using an alternative measure of female director as well as using OLS regression.
- Northern University of Malaysia Malaysia
Microsoft Academic Graph classification: Variables Gender diversity Earnings media_common.quotation_subject Dividend payout ratio Logistic regression Stock exchange Ordinary least squares Dividend Demographic economics Business media_common
Medical Subject Headings: education health care economics and organizations
Library of Congress Subject Headings: lcsh:Business lcsh:HF5001-6182
propensity to pay dividends; gender diversity; nigeria
propensity to pay dividends; gender diversity; nigeria
Microsoft Academic Graph classification: Variables Gender diversity Earnings media_common.quotation_subject Dividend payout ratio Logistic regression Stock exchange Ordinary least squares Dividend Demographic economics Business media_common
Medical Subject Headings: education health care economics and organizations
Library of Congress Subject Headings: lcsh:Business lcsh:HF5001-6182
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- Northern University of Malaysia Malaysia
This study explores how female director(s) affect the decision to pay dividend in the sub-Saharan Africa. The study specifically employs non-financial firms listed on the Nigerian Stock Exchange Market from 2009-2015 and logit regression as the technique for data analysis. The independent variable of interest in the study is female director. Consistent with the hypothesis, the study found strong association that firms with at least one female director on board are more likely to affect the payment of dividends. The findings subsist after the commencement of the 2011 CCG and when firms with negative earnings were excluded from the main sample. Furthermore, the results do not change when the model was re-estimated using an alternative measure of female director as well as using OLS regression.