FEMALE LABOUR FORCE PARTICIPATION AND RELIGION: A CROSS-COUNTRY ANALYSIS

2012 ◽  
Vol 65 (2) ◽  
pp. 107-133 ◽  
Author(s):  
Ghazal Bayanpourtehrani ◽  
Kevin Sylwester
Keyword(s):  
Labour Force ◽  
Labour Force Participation ◽  
Female Labour Force Participation ◽  
Female Labour ◽  
Country Analysis ◽  
Cross Country

Does female labour force participation contribute to better financial inclusion? Evidence from cross-country analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Senthil Arasu Balasubramanian ◽  
Thenmozhi Kuppusamy
Keyword(s):  
Financial Services ◽  
Credit Card ◽  
Labour Force ◽  
Labour Force Participation ◽  
Financial Inclusion ◽  
Female Labour Force Participation ◽  
Female Labour ◽  
Content Type ◽  
Cross Country ◽  
The Impact

PurposeThe purpose of this paper is to analyse the impact of female labour force participation (FLFP) in the access and usage of formal financial services by women.Design/methodology/approachThe study uses cross-country data from 107 countries. The study uses multivariate regression (OLS) to explain the impact of FLFP on the financial inclusion variables. The study also accounted for different groups of country-level control variables. Instrumental variables regression is also used in the study to consider for endogeneity issues.FindingsThe results show that FLFP has significant influence on all of the financial inclusion variables used in the study. The role of financial literacy is prominent in determining women's access to sophisticated financial services such as debit card and credit card. Improving financial infrastructure of an economy facilitates greater access to formal account by womenPractical implicationsFrom policymakers’ perspective, women should be motivated to enter labour market for better financial inclusion.Social implicationsMore opportunities for women to enter formal employment encourages female participation in labour market and benefits women and the economy.Originality/valueThis paper is the first of its kind to study the influence of FLFP on indicators of financial inclusion of women. The study extended the scope of access to financial services by considering access to bank account, debit card and credit card. The study also analysed use of financial services through digital platforms by women.

scholarly journals Fertility and socio-economic determinants: evidence from co-integration and multivariate Granger casualty tests

2016 ◽  
Vol 4 (1) ◽  
pp. 134
Author(s):  
Prakash Kengnal ◽  
Asha Bullappa
Keyword(s):  
Labour Force ◽  
National Income ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Fertility Rate ◽  
Gross National Income ◽  
Female Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
Per Capita

Background: The empirical work on fertility determinants widely discusses the role of socio-economic factors like female labour force participation rate, urban population and per capita gross national income in determining fertility rates. The India’s high fertility rate began to decline gradually after late 1950s and continued to fall since then. India achieved almost 31 per cent decline in fertility rate from 1990 to 2012. The objective was to examine the relationship between fertility rate, urbanization, female labour force participation rate and per capita gross national income for India.Methods: This study covers the sample period from 1990-2012. Moreover, the direction of causality between fertility rate, urbanization, female labour force participation rate and per capita gross national income in India using Granger Causality test within the Vector Error-Correction Model (VECM) are examined.Results: As a summary of the empirical results, we found that fertility rate, urbanization, female labour force participation rate and per capita gross national income in India are co-integrated and there is unidirectional Granger Causality between the four variables in long and short-run.Conclusions: The growth in urban population, female labour force participation rate and per capita gross national income are responsible for the decrease in fertility rate in India.

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