Disasters hit the poorest the hardest. Poor people are not only more vulnerable to climate-related shocks, but they also have fewer resources to prevent, cope with, and adapt to disasters. The poor tend to receive less support from family, community and financial systems, and even have less access to social safety nets, as a recent World Bank report explains.
Disasters tend to discriminate along generational and gender lines, as well. Several studies analyzing the impact of disasters have revealed that women and children have greater risks to their survival and recovery in the aftermath of natural disasters.
During the 2017 Hurricane Harvey in the U.S., many women—especially women of color—decided to not evacuate risk areas despite all the warnings. Why? All over the world, women and girls are overwhelmingly tasked, personally and professionally, with caring for children, the elderly, and people with disabilities. So, simple life-saving decisions, like discerning whether to evacuate a disaster area, can become a difficult choice.
Poverty and gender norms shape basic survival capabilities as well. For example, according to an Oxfam survey, four times as many women than men were killed in Indonesia, Sri Lanka, and India during the 2004 tsunami, because men were taught how to swim and climb trees at young ages, while women were not.
Mercy Corps reports that women and men tend to adopt different resilience strategies during droughts in the Sahel region of Africa—and reducing food intake is one of them. In South and Southeast Asia, 45% to 60% of women of reproductive age are below their normal weight, and 80% of pregnant women have iron deficiencies. During food shortages, women are more likely to suffer from malnutrition because they have specific nutritional needs while pregnant or breast feeding. Women also sometimes consume fewer calories to give priority to men and children.
What’s the urgency?
; out of an estimated 7.3 million people who are considered ‘economically inactive’ 73.8 percent are women, while just 26.2 percent are men.
It is clear this challenge is too great for any ministry, development partner or corporate office.
But why do Sri Lankan women need to get to work?
Because this country’s prosperity depends on it! Sri Lanka is getting older before getting rich. Without a labor force the country cannot be competitive nor can it deliver on basic services that require revenue to be generated.
So, the question is, what will it take to really deliver change for Sri Lanka’s women? What are the challenges? How can we help motivate those able to energize change that will benefit women?
The World Bank is ready to join the government, private sector, development partners and the citizens of Sri Lanka in supporting tangible initiatives which address the realities on the ground. We are going to advocate widely.
So, let’s start with a few important announcements. We want to learn from you. Tell us where we should start, and what specific issues need attention. We want to know what your challenges are, and who inspires you most.
Machine learning methods are increasingly applied in the development policy arena. Among many recent policy applications, machine learning has been used to predict poverty, soil properties, and conflicts.
In a recent Policy Research Working Paper by Paolo Brunori, Paul Hufe and Daniel Mahler (BHM hereafter), machine learning methods are utilized to measure a popular understanding of distributional injustice – the amount of unequal opportunities individuals face. Equality of opportunity is an influential political ideal since it combines two powerful principles: individual responsibility and equality. In a world with equal opportunities, all individuals have the same chances to attain social positions and valuable outcomes. They are free to choose how to behave and they are held responsible for the consequences of their choices.
Like many Sri Lankans across the country, I joined Sri Lanka’s 70th Independence Day festivities earlier this month. This was undoubtedly a joyful moment, and proof of the country’s dynamism and stability.
The country’s social indicators, a measure of the well-being of individuals and communities, rank among the highest in South Asia and compare favorably with those in middle-income countries. In the last half-century, better healthcare for mothers and their children has reduced maternal and infant mortality to very low levels.
Sri Lanka’s achievements in education have also been impressive. Close to 95 percent of children now complete primary school with an equal proportion of girls and boys enrolled in primary education and a slightly higher number of girls than boys in secondary education.
The World Bank has been supporting Sri Lanka’s development for more than six decades. In 1954, our first project, Aberdeen-Laxapana Power Project, which financed the construction of a dam, a power station, and transmissions lines, was instrumental in helping the young nation meet its growing energy demands, boost its trade and develop light industries in Colombo, and provide much-needed power to tea factories and rubber plantations. In post-colonial Sri Lanka, this extensive electrical transmission and distribution project aimed to serve new and existing markets and improve a still fragile national economy.
Fast forward a few decades and . Yet, .
Notably, the current overreliance on the public-sector as the main engine for growth and investment, from infrastructure to healthcare, is reaching its limits. and the country needs to look for additional sources of finance to boost and sustain its growth.
As outlined in its Vision 2025, the current government has kickstarted an ambitious reform agenda to help the country move from a public investment to a more private investment growth model to enhance competitiveness and lift all Sri Lankans’ standards of living.
Now is the time to steer this vision into action. This is urgent as . As it happens, private foreign investment is much lower than in comparable economies and trade as a proportion of GDP has decreased from 88% in 2000 to 50% in 2016. Reversing this downward trend is critical for Sri Lanka to meet its development aspirations and overcome the risk of falling into a permanent “middle-income trap.”
Silvi is eight months old. She lives in a remote village in one of the poorest regions of Bangladesh.
Her mother Maya often reflects on her pregnancy and worries about her daughter’s wellbeing as she recalls her morning sickness, the uncertain and painful birth, and the long nights at Silvi’s side as the baby lay wide awake wailing, fighting one illness after the other.
She remembers, too, the thrills of hearing Silvi giggle at the sound of her rattle, and when she began to crawl.
Despite the little joys that her baby brings to Maya, Silvi’s early childhood was marked with apprehension: Shouldn’t she be a little heavier? When will she learn to walk? Will she be healthy and intelligent enough to earn a decent living when she grows up? Or would she be handed down her parents’ poverty and get married like Maya had to, at only sixteen?
But with the right kind of support, Silvi can have a chance at a better life and bring her family out of poverty.
Growing evidence has shown that .
Thus, —or too short for their age--, low birth weight is prevalent, and maternal nutrition remains poor.
Sadly, poor families like Maya’s are not utilizing services available to them.
Disaster risk management is a priority for many countries in the Latin America and the Caribbean region.
By some estimates it could cost as much as $4.5 trillion a year to meet the Sustainable Development Goals (SDGs), and obviously, we will not get there solely with public finance. And there’s the rub: Countries will only meet the SDGs and improve the lives of their citizens if they raise more domestic revenues and attract more private financing and private solutions to complement and leverage public funds and official development assistance. This approach is called maximizing finance for development, or MFD.
Even before the protractive conflict, implementing development projects in some of the most remote and disadvantaged districts in a number of Yemeni governorates faced significant challenges. To address these challenges, and overcome some of the problems related to access to these remote areas, Yemen’s Social Fund for Development (SFD) devised a program in 2004 to attract youth interested in volunteering to promote development. In its first phase, this program — known as “Rural Advocates Working for Development (RAWFD)” — targeted a number of male and female students from these remote areas and provided them with a development-related program while they are attending universities in major cities. After graduation, these young graduates made a big difference in facilitating SFD operations and activities of other national and international organizations in their home areas.
To bridge the municipal financing gap, cities must take coordinated action with partners, such as private investors and multilateral development agencies to build financial management institutions that are sustainable, accountable, and stable.
[Report: Africa’s Cities: Opening Doors to the World]
in Ethiopia, Kenya, Uganda, and Tanzania, as well as operations that focus in-depth on big city governments.
For example, , and the secondary city clean audit report performance has improved from 36% to 100% over a period of two years.
Watch a conversation between World Bank Director Sameh Wahba (@SamehNWahba) and Jennifer Musisi (@KCCAED), Executive Director, Kampala Capital City Authority to [[avp asset="/content/dam/videos/ecrgp/2018/jun-20/jennifer_musisi_final_hd.flv"]]/content/dam/videos/ecrgp/2018/jun-20/jennifer_musisi_final_hd.flv[[/avp]]
In May 2017, the World Bank celebrated its 15 years of reengagement in Afghanistan.
However, . As it happens, that information is important to design projects and inform policies.
Case in point: while we may have data on vaccines given or babies born, we don’t know much about the roads that lead to the clinic. Similarly, we may get data on school attendance and passing rates of students, but we don’t know how long it takes for students to reach their schools.
These examples highlight how . After all, each mapped kilometer of a road can help us understand how long Afghan children must walk to get to school or how long it takes sick Afghans to reach a hospital.
Without question, there is a clear need for better foundation data to inform decision making at all levels.