Four rural transport programmes, one each in Ghana, Uganda, Kenya and Tanzania, were reviewed in respect of gender mainstreaming. National gender frameworks and transport policies were analysed for each country. The four countries have constitutional, policy and legislative frameworks that underpin the principles of gender equality. Gender mainstreaming measures have further been cascaded downwards into sector policies, including transport. The programmes reviewed showed good practices in integration of gender across the project cycle. However, it is notable that the programmes reviewed were donor-funded and thus were significantly influenced by the gender policies of the funding mechanisms. While it was not ascertained if government-funded rural transport programmes had similarly embedded gender integration issues, there is undoubtedly a good foundation that has been laid through the programmes reviewed in this study. This practice needs to be replicated and institutionalised so that it becomes a common norm across all transport programmes. An important part of this is for national governments to ensure sector-wide enforcement of the constitutional and legislative gender precepts. The case study programmes reviewed have put in place some good gender performance assessment tools, which provide examples of the tools that could be made mandatory as part of gender accountability in the transport sector.
1. Introduction
This study was based on four small case studies of gender mainstreaming in rural transport, carried out in Ghana, Uganda, Kenya and Tanzania (Ghana and Uganda provided the backbone of the research work, combining a literature review with key informant interviews; Kenya and Tanzania provided supplementary case studies based on a literature review and desk study). The paper takes forward an emerging debate on ways to institutionalise gender mainstreaming in transport policies and practice. The case studies were carried out by the International Forum for Rural Transport and Development on behalf of the Research for Community Access Partnership, which is funded by the UK's Department for International Development (DFID).
The case studies were based on the following rural transport programmes.
- (a)
Ghana – Second Transport Rehabilitation Project (TRPII: 1991–1997), funded by the World Bank.
- (b)
Kenya – Roads 2000 Programme, central phases 1 and 2 (Roads 2000/AFD 1&2: 2007–2011, 2013–2017), funded by the Kenyan and French governments.
- (c)
Tanzania – Village Travel and Transport Programme (VTTP: 1995–2004) and one of its off-shoots, the Local Government Transport Programme (LGTP: 2008–present).
- (d)
Uganda – Danish International Development Agency (Danida)-funded Road Sector Programme Support phases 1 and 2 (RSPS1 and RSPS2: 1999–2002, 2003–2007) and the Rural Roads Programme (RRP: 2008–2010)
1.1 Methodology
The case studies employed qualitative methods of data collection. These consisted of desk studies in all the four countries and key informant interviews in Ghana and Uganda where more detailed work was carried out. The key informant interviews used open-ended questionnaires to elicit information on successes, challenges, perceptions and lessons learnt. These interviews targeted ministries of transport, development partners, civil society organisations and the private sector. The desk studies involved a review of national policy documents to map out the national gender policy landscape. Project documents from the case study programmes were reviewed to assess the tools, indicators and targets used to mainstream gender at different stages of the project cycle, namely identification, design, appraisal, implementation, monitoring and evaluation.
1.2 Structure of the paper
This remainder of the paper is structured as follows. Section 2 provides a short overview of relevant literature. Section 3 profiles the national gender policy frameworks in the four countries and section 4 provides gender indicators in the four countries. Section 5 narrows down to the specific case study transport programmes. It provides an assessment of the extent to which gender sensitivity analysis was embedded in respective stages of the programmes (namely, identification, design and appraisal, budgeting, implementation, monitoring and evaluation). Section 6 provides a synthesis of the lessons learnt based on key informant interviews and analysis of the documents reviewed. Section 7 presents the conclusions to the paper.
2. Brief literature review
The World Economic Forum (WEF, 2017) reports that a variety of models and empirical studies show that improving gender parity may result in significant economic dividends. Transport is a key enabler of development and livelihoods and will enable progress in many areas covered by sustainable development goals. In the context of developing countries, these include health, quality education, food security and clean water (Njenga, 2016). These services are particularly central to the livelihoods and well-being of women.
The opportunities to access, use and benefit from rural transport systems differ between men and women. Women in particular are more constrained in accessing and affording means of transport and are more sensitive to issues of predictability, reliability, security and safety of transport services. In addition, how transport infrastructure is prioritised and the usage patterns that develop often lead to a divergence of opportunities that become available for women and men (Njenga and Tanzarn, 2018).
Most of the early work on gender and transport emphasised African women's time poverty and how this is exacerbated by transport-related labour demands. Pioneering research in Ghana (Howe and Barwell, 1987) and Tanzania (Barwell and Malmberg Calvo, 1989; Dawson and Barwell, 1993) underscored the unequal transport burden between rural women and men. A common thread was the role of culture and patriarchy in framing the gender roles related to transport. For example, Cresswell and Uteng (2008) observed that narratives of mobility and immobility play a central role in the constitution of gender as a social and cultural construct. Lack of access to transport is another recurring theme. Studies indicate that while women are the main transporters, there are gender differences in the ownership and use of means of transport due to a variety of cultural and economic reasons (Bryceson and Howe, 1993; Curtis, 1986; Doran, 1990; Malmberg Calvo, 1994; Mudzamba and ILO, 1998; Starkey, 2001; Urasa, 1990).
Much of the development sector has made considerable strides towards gender equality, but transport retains the traditional characteristics of male dominance (Tanzarn, 2017). The gender inequalities that have been entrenched in the sector are embodied in the perceived male capabilities that are required to enter into road construction as engineers or project managers, contractors or operators of transport services and other auxiliary transport enterprises. Apart from barriers that are placed on women's entry into the transport sector businesses, there are also cultural insinuations and underlying security risks that undermine the ability of women to enjoy transport freely.
Emerging work is now highlighting the need for a more comprehensive understanding of the barriers that women face in making full use of transport systems. Table 1 provides examples of how different aspects of rural transport impact differently on women compared with men.
Aspects of transport and impacts on women (adapted from Tanzarn (2017))
| Transport issue | Examples of concerns for women |
|---|---|
| Non-motorised transport |
|
| Public transport services |
|
| Road infrastructure construction |
|
| Transport issue | Examples of concerns for women |
|---|---|
| Non-motorised transport | Affordability Cultural inhibitions in use Inappropriate technical features |
| Public transport services | Fear of verbal and physical harassment Vulnerability when transport schedule is unreliable Affordability |
| Road infrastructure construction | Under-representation in employment opportunities due to disparities in skills Where labour-based methods (LBMs) are used to increase employment, women are disadvantaged in balancing the required labour intensity with domestic responsibilities Where infrastructure development leads to land acquisition, women tend to be marginalised in compensation and resettlement decisions Influx of male migrant workers into construction camps may disrupt communities, more so women and young girls |
The structural nature of the problem of gender mainstreaming in transport requires deployment of a more integrated set of interventions through policy, planning and budgeting to ensure that gender integration issues in transport are embedded and institutionalised until they become common and widespread practices. This institutionalisation process would help overcome the observation that gender mainstreaming efforts in transport are primarily donor-driven (Porter, 2012; Starkey, 2001; Tanzarn, 2016).
The underlying premise of this project was that rural transport interventions that give consideration to gender differences may result in significant and more equitable benefits to women and men in terms of increased access to socio-economic services. This is besides the potential to address women's time poverty as well as promote safe transport and travel environments for women.
3. Gender profiles in the case study countries
With the exception of Ghana, the case study countries are predominantly rural. Poor mobility is particularly apparent for a significant proportion of rural women and men in all the case study countries.
The national constitutions of all the four case study countries provide progressive provisions on gender equality, empowerment and the upholding of women's rights. The constitution of Ghana (RoG, 1992) outlaws gender-based discrimination and commits the state to ensuring the full integration of women into the mainstream of economic development. The national Constitution of Kenya, 2010 (RoK, 2010) requires the state to enact affirmative action programmes to ensure that marginalised groups, including women, are provided special opportunities in education and employment and have reasonable access to water, health services and infrastructure. Tanzania's Constitution of 1977, revised in 2004 (URT, 2004), obligates the state and all its agencies to direct their policies and programmes to accord equal opportunities to all citizens, women and men alike. It also provides for affirmative action for women's representation in political leadership. In Uganda, the 1995 Constitution, amended in 2005 (GoU, 2005), recognises equality between women and men, provides for gender balance and fair representation, recognises the role of women in society, accords affirmative action in favour of women and articulates the specific rights of women including outlawing customs, traditions and practices that undermine their welfare and interests.
A review of the legislative and policy environments in the four case study countries showed that they have reasonably enabling policy frameworks for gender mainstreaming. Legislation in areas such as labour laws promotes equal opportunities in employment, recognises women's maternity role and generally provides for a gender-sensitive working environment. The overarching long- and medium-term policy frameworks for the four countries (Kenya's Vision 2030 (RoK, 2007) and Medium-Term Plan 2 (RoK, 2013), Tanzania's Second National Five-Year Development (URT, 2016), Uganda's Vision 2040 (GoU, 2007) and Ghana's Vision 2020 (RoG, 1995)) contain gender-equality-enhancing strategies that are supposed to be translated into periodic sector-specific plans and legislation.
Table 2 summarises the national gender policy directives in the four countries within the context of the roads sub-sector.
Summary of national gender policy directives in the context of the roads sub-sector
| Policy directive | Legislation/policy/instrument | Targeted sector instrument | |||
|---|---|---|---|---|---|
| Ghana | Kenya | Tanzania | Uganda | ||
| Mainstream gender in transport policy/address women's transport needs |
|
|
| Ministry of transport | |
| Adopt labour-based methods (LBMs) | — | — | — |
| Transport policy and strategic investment plans |
| Provide improved access to reproductive health care | — |
| — |
| |
| Provide improved access to schools | — |
| — |
| |
| Promote female entrepreneurship in contracting and transport operations through skills development and the provision of incentives |
|
|
|
| |
| Allocate resources to remove barriers to women's participation in the transport sector, relative to men's |
|
| — |
| Transport policy and strategic investment plans |
| Allocate resources to enhance women's benefit from transport infrastructure and operations, relative to men's |
| — | — | — | |
| Mainstream gender in transport planning, budgeting and road improvement |
| — |
|
| Roads sub-sector institutions |
| Provide/promote appropriate transport technologies for women | — |
|
|
| Transport regulations |
| Transport legislation and regulations should be sensitive to women's needs |
|
|
|
| Transport legislation and regulations |
| Address retrogressive cultural practices in construction projects |
| — | — |
| Transport policy, investment plans, guidelines |
| Address sexual and gender-based violence (SGBV) in construction projects |
|
|
|
|
|
| Provide women-friendly transport services, spaces and facilities |
|
|
|
| Transport regulations |
| Address SGBV in public transportation |
|
|
|
| Transport regulations |
| Ensure women's and girls’ autonomous mobility and safety in public transport spaces |
|
| — |
| Transport regulations |
| Gender balance in the governance of roads sub-sector institutions |
|
|
|
| Transport legislation setting up statutory bodies |
| Collect sex- and gender-disaggregated transport data to inform policy, plans and projects |
|
|
|
| Roads sub-sector institutions |
| Gender-equality-enhancing measures in the workplace |
|
| — | — |
|
| Non-discrimination against women |
|
|
|
| |
| Equal employment opportunities for women and men |
|
|
|
| |
| Affirmative action for women in infrastructure works/road projects | — |
|
|
| |
| Affirmative action for women in recruitment and training |
|
|
| — | |
| Gender awareness creation and capacity building |
|
| — |
| |
| Collect gender-disaggregated employment and training data |
|
|
| ||
| Flexible working conditions for women |
| — | — |
| |
| Provide separate latrine/toilet/bathroom facilities for female and male employees |
| — | |||
| Equal opportunities for female- and male-led contracting firms |
|
|
|
| |
| Fully paid maternity leave and job security |
|
|
|
| |
| Policy directive | Legislation/policy/instrument | Targeted sector instrument | |||
|---|---|---|---|---|---|
| Ghana | Kenya | Tanzania | Uganda | ||
| Mainstream gender in transport policy/address women's transport needs | NDPF NGP | Vision 2030 ( MTP2 | Constitution ( Vision 2025 ( | Vision 2040 ( NDPII | Ministry of transport |
| Adopt labour-based methods (LBMs) | — | — | — | NDPII | Transport policy and strategic investment plans |
| Provide improved access to reproductive health care | — | Vision 2030 | — | Vision 2030 | |
| Provide improved access to schools | — | Vision 2030 | — | Vision 2030 | |
| Promote female entrepreneurship in contracting and transport operations through skills development and the provision of incentives | NDPF | Performance Contract | FYDP II | NDPII | |
| Allocate resources to remove barriers to women's participation in the transport sector, relative to men's | NDPF | Public Procurement and Asset Disposal Act ( Performance Contract | — | PFMA | Transport policy and strategic investment plans |
| Allocate resources to enhance women's benefit from transport infrastructure and operations, relative to men's | NDPF | — | — | — | |
| Mainstream gender in transport planning, budgeting and road improvement | NDPF NGP | — | Constitution | PFMA Vision 2040 NDPII | Roads sub-sector institutions |
| Provide/promote appropriate transport technologies for women | — | Constitution | Constitution | NDPII | Transport regulations |
| Transport legislation and regulations should be sensitive to women's needs | Constitution NDPF NGP | Constitution MTP2 | Constitution Vision 2025 | Constitution NDPII | Transport legislation and regulations |
| Address retrogressive cultural practices in construction projects | NDPF | — | — | Constitution Vision 2040 NDPI | Transport policy, investment plans, guidelines |
| Address sexual and gender-based violence (SGBV) in construction projects | NDPF | Vision 2030 MTP2 | FYDP II | Constitution Vision 2040 NDPII | Transport policy Technical specifications Contract documents |
| Provide women-friendly transport services, spaces and facilities | Constitution NGP | Vision 2030 MTP2 | Constitution | Constitution Vision 2040 | Transport regulations |
| Address SGBV in public transportation | NDPF | Vision 2030 MTP2 | FYDP II | Constitution Vision 2040 NDPII | Transport regulations |
| Ensure women's and girls’ autonomous mobility and safety in public transport spaces | NDPF NGP | Vision 2030 MTP2 | — | Constitution Vision 2040 NDPII | Transport regulations |
| Gender balance in the governance of roads sub-sector institutions | Constitution NDPF | Vision 2030 MTP2 | Constitution Employment and Labour Relations Act | Constitution NDPII | Transport legislation setting up statutory bodies |
| Collect sex- and gender-disaggregated transport data to inform policy, plans and projects | NDPF | MTP2 Performance Contract | FYDP II | PFMA | Roads sub-sector institutions |
| Gender-equality-enhancing measures in the workplace | Constitution | Employment Act | — | — | Roads sub-sector institutions Technical specifications for roads and bridges Contract documents (consultants and contractors) |
| Non-discrimination against women | Constitution National Labour Act | Constitution | Constitution Employment Act Vision 2025 | Constitution | |
| Equal employment opportunities for women and men | Constitution National Labour Act | Employment Act | Constitution Employment Act | Constitution NDPI Employment Act | |
| Affirmative action for women in infrastructure works/road projects | — | Vision 2030 MTP2 | FYDP II | Constitution NDPI Employment Act | |
| Affirmative action for women in recruitment and training | Constitution NDPF | Constitution Employment Act | FYDP II | — | |
| Gender awareness creation and capacity building | NDPF | Performance Contract | — | NDPII | |
| Collect gender-disaggregated employment and training data | NDPF | Employment Act | FYDP II | ||
| Flexible working conditions for women | National Labour Act | — | — | Vision 2040 | |
| Provide separate latrine/toilet/bathroom facilities for female and male employees | Employment Act | — | |||
| Equal opportunities for female- and male-led contracting firms | Constitution NDPF | Constitution | FYDP II | Constitution NDPI | |
| Fully paid maternity leave and job security | Constitution National Labour Act | Employment Act | Employment Act | Employment Act | |
NDPF, National Development Policy Framework (Ghana); NGP, National Gender Policy (Ghana); MTP2, Second Medium Term Plan (RoK, 2013); NDPI, First National Development Plan (Uganda); NDPII, Second National Development Plan (Uganda); PFMA, Public Finance Management Act (Uganda); FYDP II, Second Five Year Development Plan (URT, 2016)
4. Gender equality indicators
Table 3 provides a summary of a range of gender equality indicators in the case study countries.
Some key gender equality indicators by case study country (OECD, 2014; UNDP, 2016; WEF, 2017; World Bank, 2016)
| Index | Source | Year | Ghana | Kenya | Tanzania | Uganda | Total ranking |
|---|---|---|---|---|---|---|---|
| Level of discrimination against women | OECD (2014) | 2014 | High | Medium | High | Medium | |
| GDI category | UNDP (2016) | 2016 | 5 | 4 | 3 | 5 | 188 |
| Rankings | |||||||
| HDI | UNDP (2016) | 2016 | 139 | 146 | 151 | 163 | 188 |
| GII | UNDP (2016) | 2016 | 131 | 135 | 129 | 121 | 159 |
| GGGI | WEF (2017) | 2017 | 72 | 76 | 68 | 45 | 144 |
| GGGI: economic participation and opportunity | WEF (2017) | 2017 | 18 | 44 | 69 | 59 | 144 |
| GGGI: educational attainment | WEF (2017) | 2017 | 119 | 120 | 125 | 124 | 144 |
| GGGI: political participation | WEF (2017) | 2017 | 112 | 83 | 44 | 30 | 144 |
| Index | Source | Year | Ghana | Kenya | Tanzania | Uganda | Total ranking |
|---|---|---|---|---|---|---|---|
| Level of discrimination against women | 2014 | High | Medium | High | Medium | ||
| GDI category | 2016 | 5 | 4 | 3 | 5 | 188 | |
| Rankings | |||||||
| HDI | 2016 | 139 | 146 | 151 | 163 | 188 | |
| GII | 2016 | 131 | 135 | 129 | 121 | 159 | |
| GGGI | 2017 | 72 | 76 | 68 | 45 | 144 | |
| GGGI: economic participation and opportunity | 2017 | 18 | 44 | 69 | 59 | 144 | |
| GGGI: educational attainment | 2017 | 119 | 120 | 125 | 124 | 144 | |
| GGGI: political participation | 2017 | 112 | 83 | 44 | 30 | 144 | |
| Key indicators by country | ||||||||
|---|---|---|---|---|---|---|---|---|
| Ghana | Kenya | Tanzania | Uganda | |||||
| F | M | F | M | F | M | F | M | |
| Demographics | ||||||||
| Population, total (millions) | 27·4 | 46 | 53·5 | 39 | ||||
| Rural population: % | 44 | 74·4 | 68·4 | 83·9 | ||||
| Proportion of population: % | 51 | 49 | 51 | 49 | 51·3 | 48·7 | 51 | 49 |
| Education | ||||||||
| Expected years of schooling | 11·1 | 11·7 | 10·8 | 11·4 | 8·3 | 9·3 | 9·9 | 10·1 |
| Mean years of schooling | 5·8 | 7·9 | 5·7 | 7 | 5·4 | 6·2 | 4·5 | 6·8 |
| Population with at least some secondary education (percentage age 25 and older) | 51·8 | 68·5 | 27·8 | 34·1 | 10·1 | 15·3 | 25·9 | 32·1 |
| Population with no schooling (percentage age 25 and older) | 43·0 | 26·6 | 24·9 | 27·0 | 32·3 | 18·6 | 33·7 | 13·3 |
| Economic participation and opportunity | ||||||||
| Labour force participation rate (percentage age 15 and older) | 75·5 | 78·5 | 62·1 | 72·1 | 74 | 83·3 | 82·3 | 87·7 |
| Estimated gross national income per capita (2011 PPP$) | 3·200 | 4·484 | 2·357 | 3·405 | 2·359 | 2·576 | 1·266 | 2·075 |
| Reproductive health | ||||||||
| Mandatory paid maternity leave (days) | 84 | 90 | 84 | 84 | ||||
| Adolescent birth rate (births per 1000 women ages 15–19) | 66·8 | 90·9 | 118·6 | 111·9 | ||||
| Maternal mortality ratio (deaths/100 000 live births) | 319 | 510 | 398 | 343 | ||||
| Gender-based violence | ||||||||
| Violence against women ever experienced by intimate partner: % | 22·9 | 41·2 | 43·6 | 50·5 | ||||
| Violence against women ever experienced by non-intimate partner: % | 4·2 | 3·5 | 2·9 | 3·7 | ||||
| Political participation | ||||||||
| Share of seats in parliament (% held by women) | 10·9 | 20·8 | 36 | 35 | ||||
| Key indicators by country | ||||||||
|---|---|---|---|---|---|---|---|---|
| Ghana | Kenya | Tanzania | Uganda | |||||
| F | M | F | M | F | M | F | M | |
| Demographics | ||||||||
| Population, total (millions) | 27·4 | 46 | 53·5 | 39 | ||||
| Rural population: % | 44 | 74·4 | 68·4 | 83·9 | ||||
| Proportion of population: % | 51 | 49 | 51 | 49 | 51·3 | 48·7 | 51 | 49 |
| Education | ||||||||
| Expected years of schooling | 11·1 | 11·7 | 10·8 | 11·4 | 8·3 | 9·3 | 9·9 | 10·1 |
| Mean years of schooling | 5·8 | 7·9 | 5·7 | 7 | 5·4 | 6·2 | 4·5 | 6·8 |
| Population with at least some secondary education (percentage age 25 and older) | 51·8 | 68·5 | 27·8 | 34·1 | 10·1 | 15·3 | 25·9 | 32·1 |
| Population with no schooling (percentage age 25 and older) | 43·0 | 26·6 | 24·9 | 27·0 | 32·3 | 18·6 | 33·7 | 13·3 |
| Economic participation and opportunity | ||||||||
| Labour force participation rate (percentage age 15 and older) | 75·5 | 78·5 | 62·1 | 72·1 | 74 | 83·3 | 82·3 | 87·7 |
| Estimated gross national income per capita (2011 PPP$) | 3·200 | 4·484 | 2·357 | 3·405 | 2·359 | 2·576 | 1·266 | 2·075 |
| Reproductive health | ||||||||
| Mandatory paid maternity leave (days) | 84 | 90 | 84 | 84 | ||||
| Adolescent birth rate (births per 1000 women ages 15–19) | 66·8 | 90·9 | 118·6 | 111·9 | ||||
| Maternal mortality ratio (deaths/100 000 live births) | 319 | 510 | 398 | 343 | ||||
| Gender-based violence | ||||||||
| Violence against women ever experienced by intimate partner: % | 22·9 | 41·2 | 43·6 | 50·5 | ||||
| Violence against women ever experienced by non-intimate partner: % | 4·2 | 3·5 | 2·9 | 3·7 | ||||
| Political participation | ||||||||
| Share of seats in parliament (% held by women) | 10·9 | 20·8 | 36 | 35 | ||||
F, Female; GDI, gender development index; GGGI, global gender gap index; GII, gender inequality index; HDI, human development index; M, Male; PPP$, purchasing power parity in US$
4.1 Gender-based discrimination
The Organisation for Economic Cooperation and Development has developed an instrument known as the social institutions and gender index, which is a composite tool that measures gender-based discrimination in social norms, attitudes and practices that impose restrictions on women's and girls’ access to rights, justice and empowerment opportunities. According to the index (OECD, 2014), women in Kenya and Uganda experience medium levels of discrimination, while high levels of discrimination are recorded in Ghana and Tanzania.
The types of discrimination recorded under the OECD's social institutions and gender index translate into the widening of gender gaps in development outcomes such as poverty, education, skills, employment and incomes.
4.2 Human development
The United Nations Development Programme (UNDP) categorises Ghana among the countries with medium human development, ranking 139 out of 188 (UNDP, 2016). At a rank of 146, Kenya is regarded as one of the rapidly developing countries. On the other hand, Tanzania is categorised among the poorest countries in the world, ranking 159. Uganda has the lowest level of human development among the case study countries, with a rank of 163. Women in Uganda are particularly vulnerable to poverty with more female-headed households (62·8%) than male-headed households (50·5%) experiencing multi-dimensional aspects of deprivation (UBOS, 2014).
4.3 Gender inequalities
Based on various statistical sources, Table 3 provides an overview of key gender equality indicators for the case study countries. The UNDP uses the gender development index (GDI) as a component of the human development index (HDI). To calculate the GDI, the HDI is calculated separately for females and males using the same methodology as in the HDI. According to UNDP, Tanzania is categorised under group 3, which comprises countries with medium equality in human development achievements between women and men (UNDP, 2016). Kenya is categorised under group 4, which comprises countries with medium to low equality in HDI achievements between women and men. Ghana and Uganda are categorised under group 5 – countries with the lowest equality in HDI achievements between women and men.
With regard to the gender inequality index (GII), which benchmarks national gender gaps based on economic, political, education and health criteria, Uganda ranks 121 out of 159 countries assessed (UNDP, 2016), largely due to the progress registered regarding women's political participation. Tanzania, Ghana and Kenya rank 129, 131 and 135 on the GII, respectively.
With a ranking of 45 out of 144 countries assessed, Uganda outperforms the rest of the case study (and other African) countries as regards the global gender gap index (GGGI), which seeks to capture the magnitude of national gender-based disparities. Tanzania, Ghana and Kenya rank 68, 72 and 76 on the GGGI, respectively (WEF, 2017).
Ghana is one of the high performers in respect of closing the gender gaps in labour force participation, wage equality and income, ranking 14 out of the 144 countries assessed on the GGGI: economic participation and opportunity (WEF, 2017). All the four case study countries fare poorly with regard to women's educational attainment relative to men's. As regards women's political participation, Uganda ranks 30, closely followed by Tanzania at 44. In contrast, Kenya and Ghana rank poorly at 83 and 112, respectively. This is attributed to relatively low proportions of seats held by women in the respective national parliaments.
4.4 Women's and men's work in the market economy
Women constitute a significant proportion of workers in agriculture, the largest and most important sector of African economies. For instance, in Ghana most rural women (67·9%) and men (74·5%) are employed in the sector (GSS, 2014). In contrast, in Uganda, 69% of women compared with only 10% of men are employed in agriculture (UBOS, 2014). Anecdotal evidence suggests that an estimated 70% of agricultural produce is carried by head-loading – a task predominantly undertaken by women and their children (Porter et al., 2013; Tanzarn, 2013). In Kenya, women constitute 80% of agricultural workers, are responsible for most of the food storage and the transport of produce from farm to home (80%) and undertake 60% of the harvesting and marketing of crops (AfDB, 2007). In Tanzania, women comprise more than half (54%) of the agricultural labour force. Furthermore, 81% of women compared with 73% of men in employment are engaged in agriculture (FAO, 2010).
In Tanzania, other than head-loading/back-loading, women are nearly absent from other forms of agricultural transport such as operating bicycles, motorcycles, pick-ups and lorries (Njenga et al., 2015). In Uganda, women are, for the most part, not involved in agricultural marketing (MAAIF, 2010) beyond the first point of commercial interface.
Most of women's and men's trips to and from their fields and the markets are predominantly undertaken on community access roads or footpaths.
4.5 Women and the care economy
In addition to productive work, women take on a disproportionate responsibility of the labour- and time-intensive activities in the unpaid care economy. These involve work undertaken for the maintenance of the household and its members, such as caring for children, the sick and the elderly, as well as head- and back-loading heavy loads of water, firewood and food.
In Ghana, 68% of rural households use fuel wood for cooking, most of which (92·4%) is collected predominantly (71·6%) by adult women. Further to that, about five times the proportion of adult women (60%) compared with adult men (11·6%) fetch water for their households (GSS, 2012).
In Tanzania women participate more in providing unpaid domestic services (87%) than men (47%) (NBS, 2017). Likewise, women in Uganda bear a disproportionate burden of domestic work (74%) in general, fuel wood collection (70%) and fetching water for domestic consumption (63%) (UBOS, 2014). In Kenya, women are responsible for collecting drinking water in 57% of rural households (KNBS, 2014).
Women and girls typically make more than one trip per day to fetch water, frequently travelling long distances. Nearly half of the households in Tanzania (44%) and Uganda (47%) have to make a 30 min round-trip or longer for their water, compared with 15·1% and 27·8% in Ghana and Kenya, respectively (World Bank, 2016). In Kenya, 19% of rural households spend more than 1 h per day fetching drinking water (CRS, 2010).
4.6 Gender and access to skills relevant to transport
Whereas gender parity in primary education has nearly been achieved in most of the case study countries, inequalities still persist. Table 4 shows the mean number of schooling years between men and women. Across all the case study countries, women have fewer average years of schooling than men. Illiteracy implies that women experience restricted access to work opportunities that require the ability to read and write.
Mean number of schooling years by case study country (World Bank, 2016)
| Mean number of schooling years | |||||||
|---|---|---|---|---|---|---|---|
| Ghana | Kenya | Tanzania | Uganda | ||||
| F | M | F | M | F | M | F | M |
| 5·8 | 7·9 | 5·7 | 7 | 5·4 | 6·2 | 4·5 | 6·8 |
| Mean number of schooling years | |||||||
|---|---|---|---|---|---|---|---|
| Ghana | Kenya | Tanzania | Uganda | ||||
| F | M | F | M | F | M | F | M |
| 5·8 | 7·9 | 5·7 | 7 | 5·4 | 6·2 | 4·5 | 6·8 |
Women are also under-represented in science-based courses in universities. For instance, in Ghana, the female share of graduates in engineering, manufacturing and construction is only 9% (World Bank, 2016). In Uganda, women constituted 17·6% and 11·4% of civil engineering and mechanical engineering graduates in 2012, respectively (Tanzarn, 2013).
Evidence from Ghana indicates that a negligible 0·1% of females compared with 19·4% of males aged 11 years and above had apprenticeship training in transport and material moving trades (GSS, 2014). One barrier to women's participation in the rural transport sector labour force could be the long hours usually expended by workers. More than half of the workers in the transport and storage sector work for 60 h or more per week. In contrast, 60·7% of employees in agriculture, forestry and fishing work less than 40 h per week (MoGCSP, 2015).
Women constitute only 8% of the engineering workforce in Kenya. Additionally, the majority of the actors in transport operations, including owners, operators and traffic code enforcers, are men. Women comprise 13·6% of the informal transport owners and an even lower 5% of transport service employees, the majority (62·3%) of whom are employed as conductors, office and route managers (Mwangi, 2014). In Tanzania, only 0·2% of employed women are involved in transportation and storage (compared with 5% of men) and an even lower proportion (0·1%) in construction (compared with 4% of men) (NBS, 2014).
None of the civil engineering consulting firms in Uganda is owned by a woman and mainstream works/technical services departments are male dominated, with no female district engineers. Further to that, women generally constitute only 15% of those employed in works and transport sector public institutions in Uganda (Tanzarn, 2013).
Table 5 presents some key indicators regarding the distribution of economic opportunities between men and women in the case study countries.
Indicators of economic opportunities by case study country (World Bank, 2016)
| Indicator | Year | Ghana | Kenya | Tanzania | Uganda | ||||
|---|---|---|---|---|---|---|---|---|---|
| F | M | F | M | F | M | F | M | ||
| Population with no schooling (age 25 and older 25): % | 2012 | 43·0 | 26·6 | 24·9 | 27·0 | 32·3 | 18·6 | 33·7 | 13·3 |
| Female share of graduates in engineering, manufacturing and construction: % | 2014 | 9·7 | — | — | — | ||||
| Female share of graduates in science: % | 2014 | 30·3 | — | — | — | ||||
| Proportion that do not own land (percentage female/male, age 15–49) | 2014 | 78·1 | 61·3 | — | — | 61·3 | |||
| Wage and salaried workers (percentage of female/male employment) | 2013 | 11·4 | 25·3 | — | — | 10·7 | 21·4 | 13·4 | 26·1 |
| Share of women in waged employment in the non-agricultural sector (percentage of total non-agricultural employment) | 2013 | 31·9 | 35·7 | 32·5 | 34·7 | ||||
| Percentage of firms with female participation in ownership | 2013 | 31·6 | 48·7 | 24·7 | 26·6 | ||||
| Vulnerable employment | 2013 | — | — | — | — | 79·7 | 68·5 | 85·5 | 72·1 |
| Account at a financial institution (age 15+): % | 2014 | 34·0 | 35·3 | 51·9 | 58·9 | 17·1 | 21·1 | 23·1 | 32·5 |
| Borrowed any money in the past year (age 15+): % | 2014 | 35·1 | 37·8 | 78·3 | 80·2 | 54·7 | 56·4 | 75 | 83 |
| Borrowed to start, operate or expand a farm or business (age 15+): % | 2014 | 9·3 | 11·1 | 21·1 | 27·8 | 18·1 | 26·6 | 21·2 | 23·4 |
| Indicator | Year | Ghana | Kenya | Tanzania | Uganda | ||||
|---|---|---|---|---|---|---|---|---|---|
| F | M | F | M | F | M | F | M | ||
| Population with no schooling (age 25 and older 25): % | 2012 | 43·0 | 26·6 | 24·9 | 27·0 | 32·3 | 18·6 | 33·7 | 13·3 |
| Female share of graduates in engineering, manufacturing and construction: % | 2014 | 9·7 | — | — | — | ||||
| Female share of graduates in science: % | 2014 | 30·3 | — | — | — | ||||
| Proportion that do not own land (percentage female/male, age 15–49) | 2014 | 78·1 | 61·3 | — | — | 61·3 | |||
| Wage and salaried workers (percentage of female/male employment) | 2013 | 11·4 | 25·3 | — | — | 10·7 | 21·4 | 13·4 | 26·1 |
| Share of women in waged employment in the non-agricultural sector (percentage of total non-agricultural employment) | 2013 | 31·9 | 35·7 | 32·5 | 34·7 | ||||
| Percentage of firms with female participation in ownership | 2013 | 31·6 | 48·7 | 24·7 | 26·6 | ||||
| Vulnerable employment | 2013 | — | — | — | — | 79·7 | 68·5 | 85·5 | 72·1 |
| Account at a financial institution (age 15+): % | 2014 | 34·0 | 35·3 | 51·9 | 58·9 | 17·1 | 21·1 | 23·1 | 32·5 |
| Borrowed any money in the past year (age 15+): % | 2014 | 35·1 | 37·8 | 78·3 | 80·2 | 54·7 | 56·4 | 75 | 83 |
| Borrowed to start, operate or expand a farm or business (age 15+): % | 2014 | 9·3 | 11·1 | 21·1 | 27·8 | 18·1 | 26·6 | 21·2 | 23·4 |
5. Gender mainstreaming in practice: case study programmes
This section presents a summary of the gender performance of the case study programmes with a focus on the specific stages of the project cycle framework.
5.1 Project identification
All the projects had carried out baseline studies that included gender issues that were considered pertinent.
The VTTP programme in Tanzania was designed on the basis of extensive baseline data collected through the Makete Integrated Rural Transport Programme (MIRTP). The MIRTP baseline studies were pioneers in articulating the transport burden borne by women and girls in rural Africa. It demonstrated the daily transport drudgery experienced by women in meeting the basic needs of water, fuel and food-processing activities (Barwell and Malmberg Calvo, 1986, 1989). The studies showed that women accounted for nearly 67% of the household time spent on transport and 85% of the load carried, while men accounted for only 21% of the time and 11% of the load carried. Children accounted for the balance of time and load. A typical adult female undertook more than three journeys, spending over 4 h per day solely on transport, while men made just one journey, devoting fewer than 2 h per day on transport. Women in the Makete district typically moved about 50 kg each per day or 18 t per year over a distance of about 4 km.
In Ghana the TRPII baseline surveys identified head-porterage as a massive burden for women in the project communities. Further to that, they established that poverty rather than culture was the potential barrier to women's use of bicycles in the project communities. The project also identified women's time use relative to men's as an indicator of gender inequality. Two non-governmental organisations were identified to serve as a liaison between the project and the female beneficiaries.
Under Roads 2000 (Kenya), baseline studies were conducted to establish the level of women's engagement in business activities that could potentially be impacted by the project.
In Uganda, RSPS1, RSPS2 and RRP recognised the need for the utilisation of women-specific channels to disseminate employment and training opportunities and recommended the use of non-state gender justice organisations for the purpose. RSPS1 underscored how the interplay of social norms, values and practices undermine women and privilege men.
5.2 Project design and appraisal
The respective project formulation documents were reviewed to assess the extent to which these were responsive to the gender issues identified and to determine the strategies put in place to address the potential barriers to women's equitable participation, relative to men's.
In Tanzania, the VTTP interventions explored the possibilities of transferring some of women's transportation responsibilities to men through the use of intermediate means of transport (IMTs). The LGTP project, which is a replication of some aspects of the VTTP, provides for the promotion of IMTs as cost-effective local transport. The LGTP also explicitly states that the programme would ensure that women would be given a voice in decision-making processes. In Ghana, the TRPII strategies enabled the introduction of low-cost IMTs, including bicycles and trailers, aimed at reducing head-porterage and thus alleviating women's transport burden.
In Uganda, the RSPS1 piloted a community transport and travel programme designed to generate lessons for promoting IMTs and for improving local transport infrastructure. It also emphasised the importance of involving women, as road users, in the transport improvement agenda. Further to that, it required road prioritisation procedures to solicit and incorporate women's views. RSPS 2 included a community access component with various measures to promote women's employment by defining minimum quotas for women's participation.
Roads 2000 in Kenya included community gender sensitisation as an integral part of project activities.
5.3 Implementation and gender performance monitoring
A variety of gender monitoring instruments were deployed in the four projects. The TRPII in Ghana included the performance monitoring indicators of
the number of women employed in the project and their incomes
the number of women engaged in income-generating activities arising out of the programme
changes in the incidence of head-porterage
the number and range of community self-help activities.
Tanzania's VTTP monitoring and evaluation framework included indicators for impacts of the transport interventions on the transport burden of women in terms of time and effort. The terms of reference for the VTTP periodic reviews specified that the consultant team would apply, among others, participatory procedures and flexible methods of capturing gender-disaggregated data. The LGTP formulation document specified that there would be a gradual introduction of (gender-sensitive) implementation targets to give time to test and perfect the procedures. The programme had provisions for indicators to be embedded in contracts to oblige contractors to record employment created for women and men.
The socio-economic baseline studies for Kenya's Roads 2000 programme captured data on women's employment in the projects and their level of engagement in business enterprises that developed along the roads that were to be improved.
The RSPS1, RSPS2 and RRP in Uganda provided for
the revision of social and gender baseline and performance monitoring indicators for roadworks
the revision of formats and modalities for reporting on gender in the road sector
monitoring tender documents and contractor gender compliance
the collection of gender-disaggregated roadworks data
the establishment of a road sector social and gender information system and database
costed and time-bound gender management and action plans with verifiable indicators to guide the systematic mainstreaming of gender in the respective project components
flexible quotas for women's participation that could be realistically attained
an assessment of the extent to which progress had been achieved in fulfilling the gender objectives of the respective projects and recommendations for changes needed, as appropriate.
All the projects had an aspect of institutionalising gender either through capacity building, engendering policy or training material. Despite the above, all the projects have a weakness in terms of gender reporting, knowledge sharing and in gender and transport policy advocacy.
5.4 Gender budgeting
One of the key challenges in the achievement of desired gender results arises out of inadequate allocation of resources for the implementation of the stated gender outcomes. The case studies from Ghana, Kenya and Uganda indicated that good attempts at ensuring budgetary provisions for gender had been made. TRPII in Ghana allocated US$2·98 million (3·1%) of the total project sum of US$96 million to activities designed to achieve gendered outcomes. Both phases of Roads 2000 in Kenya allocated a dedicated budget for mainstreaming cross-cutting issues, including gender. Uganda's RSPS1 recommended a dedicated budget line of about 5% to facilitate gender-oriented activities for all future Danida-funded road projects. In Tanzania, although the budget guidelines for the fiscal year 2016/2017 require all government agencies to integrate gender considerations in their budgets, there is no explicit gender budgeting in the LGTP programme.
5.5 Evaluation and gender outcomes
5.5.1 Women's participation
The projects achieved varying levels of women's participation. Under TRPII in Ghana, women constituted an average of 50% of the labourers, which could be attributed to the ambitious target set (70%).
Women's participation in both LGTP and VTTP activities in Tanzania was around 50%. Women comprised 25% of the total person days generated in phase 1 of the Roads 2000 project in Kenya, which was lower than the defined target of 30%. This increased to 35% during the second phase as a result of changes made to ensure women-friendly work sites – that is, the provision of mobile toilets and facilities for breast feeding.
The highest percentage achieved as regards women's participation in the trunk road rehabilitation component of Uganda's RSPS1 was 17·1%. This was quite impressive considering that the project employed equipment-based approaches to roadworks. Women's labour in contracted works of the district roads component of the RSPS1 constituted 23% of the total 485 000 worker days. Under RSPS2 and RRP, about 30% of labour-based worker-days were undertaken by women.
5.5.2 Contribution to the alleviation of women's transport burden
Whereas the bicycle-trailers and single-wheel farm vehicles introduced under TRPII in Ghana were considered unaffordable by many households, some women used their earnings from the project to purchase the former, thus potentially contributing to the reduction of the prevalence of head-porterage. Women were major beneficiaries of the auxiliary works of the trunk road rehabilitation component of Uganda's RSPS1. These included improvements in health facilities, water supplies, market structures, school facilities and the rehabilitation of several community access roads. In Tanzania, both the VTTP and the LGTP place strong emphasis on the promotion of IMTs and investments in non-transport interventions that would reduce the transport burden of women. The Roads 2000 programme in Kenya, however, does not explicitly address itself to the alleviation of women's transport burden, with gender interventions mainly focusing on employment creation.
5.5.3 Promoting women's entrepreneurship in the construction industry
One of the three sub-contractors under the equipment-based trunk road rehabilitation component of RSPS1 in Uganda was a woman. Under the RSPS1 district roads component, women constituted 11% of the total person training days in labour-based methods (LBMs). Further to that, one (5%) of the 20 private-sector firms trained and eligible for certification as LBM contractors (rehabilitation) was owned by women. Furthermore, females comprised 106 of the 514 firms/individuals (20·6%) prequalified and trained by the Mt Elgon Labour-Based Training Centre (MELTC) to undertake labour-based routine maintenance. Women comprised about 15% and 2·5% of the trained contractor staff under RSPS2 and RRP, respectively.
6. Lessons learnt
The lessons learnt were based on discussions with key informants and an analysis of available project reports, especially with regard to monitoring and evaluation systems.
The first lesson learnt is the need to adopt a systematic approach to mainstreaming gender along all stages of the project cycle based on a comprehensive (and mandatory) gender analysis. This process should be underlined by sound gender-disaggregated baseline information aimed at understanding the pertinent gender issues and inequalities in the specific contexts. The baseline studies should help identify the specific gender issues that the interventions should address. All the programmes that were reviewed made a good attempt in identifying some specific gender objectives in their baseline studies. For example, Roads 2000 in Kenya and RSPS1, RSPS2 and RRP in Uganda focused their gender interventions on employment and enterprise development, while VTTP in Tanzania and TRPII in Ghana had a strong focus on promotion of non-motorised transport.
Secondly, the significance of monitoring, evaluation, documenting and sharing lessons on what has worked and what has not worked cannot be over-emphasised. It was observed, for example, that whereas there is anecdotal evidence of good gender mainstreaming practices in Tanzania's VTTP, most were not documented. Similarly, the wide range of gender mainstreaming activities in Tanzania's LGTP have not been captured and disseminated due to a lack of routine monitoring and evaluation. In all the projects, it was observed that project managers, confronted with tight timeframes and budgets, prioritise reporting on procedural issues such as the project's physical outputs, procurement and financial management rather than on the more analytical issues of outcomes and impacts.
Thirdly, one of the underlying reasons for the low visibility of gender mainstreaming activities is a lack of knowledge on how to set clear and integrated gender objectives, measurable indicators accompanied by building of the requisite capacity to monitor gender outcomes and impacts.
Finally, participatory methodologies involving all stakeholders are important in building a common understanding of what the gender issues are, what objectives and targets should be set and how accountability should be enforced.
7. Conclusions
Women and men have distinct mobility patterns, accessibility priorities and concerns. There is recognition in policy and practice that there can never be sustainable development if half of the population is excluded from the processes and outcomes of investment programmes. While transport is a key enabler to the achievement of a significant number of sustainable development goals in developing countries (poverty, health, education, clean water, energy etc.), its role in this context has rarely been acknowledged, much less the way it can catalyse the achievement of these targets by embracing gender integration.
The case study countries have made good advances in enshrining gender equality within national laws and various development plans' policy plans including transport. The four transport programmes that are the subject of this research show there is progress in actualising national gender integration aspirations into the transport sector itself. Without exception, all the projects had mainstreamed gender into all the stages of the project cycle. However, it is notable that all the case study programmes were financed through donor funding, and gender mainstreaming was mandatory. It would be of interest to carry out comparative work between donor-funded and government-funded programmes to ascertain if gender mainstreaming in transport has been institutionalised fully through enabling mechanisms such as budgeting and the deployment of technical capacities for planning, implementation, monitoring and evaluation, reporting and dissemination functions. This would help re-examine the observation that gender mainstreaming efforts in transport are primarily donor-driven (Porter, 2012; Starkey, 2001; Tanzarn, 2016).
