- Details
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Economic inclusion
Gender inclusion gaps aim to capture the extent to which economic systems favour men over women. Seven dimensions are examined here (see Table 5.1):
- legal and social regulations, such as inheritance laws and ownership rights;
- health indicators that relate to female participation in economic life or reflect gender bias;
- labour policies regulating pay and access to certain professions;
- labour practices, such as non-discrimination and equal pay;
- educational attainment comparisons;
- female participation in employment, management and firm ownership;
- access to finance.
Two main types of indicator were collected to rate these dimensions: policy indices constructed by other organisations, such as the International Labour Organization (ILO) and the World Bank,and female-to-male ratios (for example, female-to-male labour force participation rates).
Table 5.1
Gender inclusion gaps – dimensions and indicators
Dimension |
Indicators |
Sources |
Legal and social regulations |
Addressing violence against women |
Economist Intelligence Unit Women's Economic Opportunity (EIU-WEO) Index, based on International Labour Organization (ILO), 2010 or latest |
Property ownership rights |
Inheritance laws in favour of male heirs |
OECD Social Institutions and Gender Index 2009 |
Access to health services |
Sex at birth; female-to-male (f/m) ratio |
World Bank World Development Indicators (WDI), 2010 |
Contraceptive prevalence (percentage of women aged 15-49) |
Maternal mortality ratio (maternal deaths per 100,000 live births) |
UNICEF, 2010 |
Education and training |
Literacy rate; f/m ratio |
UN Social Indicators, UNICEF, census, 2010 or latest |
Primary school completion rate; f/m ratio |
Gender parity index for net enrolment rate in secondary education |
World Bank Education Statistics, 2010 or latest |
Percentage of female graduates in tertiary education |
Gender parity index for enrolment in tertiary education |
Labour policy |
Equal pay policy |
EIU-WEO based on ILO, 2010 or latest |
Non-discrimination policy |
Policy on maternity and paternity leave and its provision |
Policy on legal restrictions on types of job for women |
Differential retirement age policy |
CEDAW (Convention on the Ratification of all forms of Discrimination Against Women) ratification |
Assessment of labour practices |
Equal pay |
EIU-WEO based on ILO, 2010 or latest |
Non-discrimination |
Access to childcare |
Female top managers |
BEEPS, 2009 |
Gender pay gap |
United Nations Economic Commission for Europe2011 |
Employment and firm ownership |
Female participation in firm ownership |
BEEPS, 2009 |
Share of women in non-agricultural employment |
World Bank WDI, 2010 or latest |
Labour force participation rate; f/m ratio (age 15+) |
World Bank Gender Indicators, UNICEF, census, 2010 or latest |
Unemployment with tertiary education; f/m ratio |
|
Unemployment rate; f/m ratio |
Key Indicators of the Labour Market-ILO, 2010 or latest |
Access to finance |
Account at a formal financial institution; f/m ratio (age 15+) |
Global Financial Inclusion (Global Findex) Database, 2011 |
Account used for business purposes; f/m ratio (age 15+) |
Credit card; f/m ratio (age 15+) |
Debit card; f/m ratio (age 15+) |
Mobile phone used to receive money; f/m ratio (age 15+) |
Mobile phone used to send money; f/m ratio (age 15+) |
Saved at a financial institution in the past year; f/m ratio (age 15+) |
Loans rejected for firms with female versus male ownership |
BEEPS, 2009 |
Data on female-to-male ratios were translated into percentage gaps and converted to the 1 to 4+ transition scale. An average score for each category was then calculated and transformed into the four-point gap scale. Gaps classified as “large”, “medium”, “small” and “negligible” correspond to percentage differences in gender indicators of more than 20 per cent, from 6 to 20 per cent, from 1 to 6 per cent and less than 1 per cent respectively (see Annex 5.2).
Table 5.2 suggests that there is considerable variation in gender gaps – not just across countries, but also across institutional dimensions. Gaps are generally “small” as regards education and legal regulations. With the exception of some SEMED countries, laws that overtly put women at a disadvantage in terms of property and inheritance laws are rare.
Primary and secondary school participation and completion rates are similar for males and females. With a few exceptions (most notably Tajikistan), recent tertiary enrolment rates actually tend to be higher for females in most countries. Significant gaps (visible in about a dozen countries) exist only with regard to literacy rates, which are a much more backward-looking indicator.
Gaps tend to be larger in dimensions related to employment, firm ownership and management – and particularly labour practices. As regards anti-discrimination practices, access to childcare, women in senior management and gender pay differentials, there are “large” gaps in most countries, and even “medium” gaps in Western comparator countries.
Table 5.2 also confirms expectations that gender gaps are often “negligible” or “small” in CEB countries – although not in employment-related areas – while “large” and “medium” gaps tend to be most apparent in the SEMED region (although less so in Tunisia) and some Central Asian countries (such as Tajikistan, Turkmenistan and Uzbekistan). Kazakhstan and Turkey are not far behind.
In the SEMED region decades of investment in social sectors have improved women’s access to health care and education, reduced illiteracy and brought down fertility rates. However, this has not (yet) translated into higher female labour force participation rates or female empowerment. This is partly due to persistent institutional barriers that limit women’s access to economic opportunities.
Table 5.2
Inclusion gaps for gender
Country |
Legal regulations |
Health services |
Education |
Labour policy |
Labour practices |
Employment and firm ownership |
Access to finance |
Central Europe and the Baltic states |
Croatia |
Negligible |
Small |
Negligible |
Medium |
Large |
Medium |
Small |
Estonia |
Negligible |
Small |
Negligible |
Small |
Large |
Medium |
Medium |
Hungary |
Negligible |
Small |
Negligible |
Negligible |
Large |
Medium |
Large |
Latvia |
Small |
Medium |
Negligible |
Small |
Large |
Medium |
Small |
Lithuania |
Negligible |
Small |
Negligible |
Small |
Medium |
Medium |
Medium |
Poland |
Small |
Small |
Negligible |
Small |
Large |
Medium |
Medium |
Slovak Republic |
Negligible |
Small |
Negligible |
Small |
Large |
Large |
Medium |
Slovenia |
Negligible |
Small |
Negligible |
Small |
Large |
Medium |
Medium |
South-eastern Europe |
Albania |
Negligible |
Medium |
Small |
Small |
Large |
Large |
Large |
Bosnia and Herzegovina |
Negligible |
Medium |
Negligible |
Medium |
Large |
Large |
Large |
Bulgaria |
Negligible |
Small |
Negligible |
Small |
Large |
Medium |
Medium |
FYR Macedonia |
Small |
Medium |
Small |
Small |
Large |
Medium |
Medium |
Kosovo |
not available |
not available |
not available |
not available |
not available |
not available |
Large |
Montenegro |
Small |
Medium |
Negligible |
Medium |
Large |
Medium |
Medium |
Romania |
Negligible |
Medium |
Negligible |
Small |
Large |
Medium |
Medium |
Serbia |
Small |
Medium |
Negligible |
Medium |
Large |
Large |
Small |
|
Turkey |
Small |
Small |
Medium |
Small |
Large |
Large |
Large |
|
Eastern Europe and the Caucasus |
Armenia |
Medium |
Medium |
Negligible |
Small |
Large |
Large |
Small |
Azerbaijan |
Negligible |
Medium |
Small |
Medium |
Large |
Medium |
Large |
Belarus |
Small |
Small |
Small |
Medium |
Large |
Small |
Medium |
Georgia |
Small |
Large |
Negligible |
Small |
Large |
Medium |
Small |
Moldova |
Small |
Medium |
Negligible |
Small |
Large |
Negligible |
Medium |
Ukraine |
Negligible |
Medium |
Negligible |
Small |
Large |
Medium |
Large |
|
Russia |
Small |
Medium |
Negligible |
Medium |
Large |
Medium |
Medium |
|
Central Asia |
Kazakhstan |
Small |
Large |
Negligible |
Medium |
Large |
Large |
Medium |
Kyrgyz Republic |
Medium |
Large |
Negligible |
Medium |
Large |
Medium |
Small |
Mongolia |
Small |
Large |
Negligible |
Medium |
Large |
Negligible |
Small |
Tajikistan |
Medium |
Large |
Medium |
Small |
Large |
Medium |
Large |
Turkmenistan |
Large |
Large |
Small |
Medium |
Large |
Large |
Large |
Uzbekistan |
Medium |
Medium |
Medium |
Medium |
Large |
Large |
Large |
Southern and eastern Mediterranean |
Egypt |
Medium |
Large |
Medium |
Medium |
Large |
Large |
Large |
Jordan |
Medium |
Large |
Negligible |
Medium |
Large |
Large |
Large |
Morocco |
Medium |
Large |
Medium |
Medium |
Large |
Large |
Large |
Tunisia |
Small |
Medium |
Small |
Small |
Large |
Large |
Large |
Comparator countries |
France |
Negligible |
Small |
Negligible |
Small |
Medium |
Medium |
Medium |
Germany |
Negligible |
Small |
Negligible |
Negligible |
Medium |
Medium |
Medium |
Italy |
Negligible |
Small |
Negligible |
Small |
Medium |
Medium |
Large |
Sweden |
Negligible |
Negligible |
Negligible |
Negligible |
Medium |
Small |
Medium |
United Kingdom |
Negligible |
Small |
Negligible |
Small |
Medium |
Medium |
Medium |
Source: See Table 5.1.
Note: See Annex 5.2 for methodology.