Category: Data

Data, Development finance, Policy

Data: The first step to improving finance in African cities

By Astrid R.N. Haas, Manager of Cities that Work, International Growth Centre

This blog is part of an ongoing series exploring the intersection between intermediary cities in developing countries and sustainable development

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Hargeisa, Somalia. Photo: Shutterstock.com

Many African cities are urbanising rapidly. Yet, they are unable to adequately service their growing populations with the necessary infrastructure and amenities due to a lack of finance. Furthermore, retrofitting infrastructure on a city that has already grown is significantly more expensive. Improving local government finance is therefore very high on these cities’ agendas.

Cities can improve their finances in various ways. Perhaps one of the most underutilised yet high potential methods is property tax. Why? Rapid population growth is generally accompanied by a construction boom, increasing the number of properties. Furthermore, if demand for properties rises faster than supply, this will also increase property values. And such values will further benefit once public investments in infrastructure as well as improvements in service delivery are made. All these factors have a positive impact on property tax collection, and thus have the potential to unleash a virtuous cycle for local government revenue.
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Africa, Data, Food security, Human Development, Policy

Disentangling urban and rural food security issues in West Africa

By Richard Clarke, Consultant, Sahel and West Africa Club Secretariat

The rapid growth of cities in West Africa poses significant challenges across development dimensions. In particular, as the location of poverty spreads from rural to urban areas so have issues of food insecurity and malnutrition. Indeed, the potential impact of growing food insecurity in urban areas was highlighted by the widespread rioting over food prices in 2008.

The West African region is set to experience a further doubling of its urban population over the next 20 years, having grown from 6 million to 170 million between 1950 and 2015. This growth will place greater demands on regional food systems, which themselves are increasingly exposed to adverse global climatic and economic conditions, to provide cities with their nutritional needs.   Continue reading “Disentangling urban and rural food security issues in West Africa”

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Africa, Data, Food security, Policy

Food prices must drop in Africa: How can this be achieved?

By Thomas Allen, Sahel and West Africa Club Secretariat (SWAC/OECD)

After the 2007-08 crisis, we got into the bad habit when discussing food prices of focusing almost exclusively on volatility and overlooking the question of the level of prices. Of course, reasons were good for this; between February 2007 and February 2008, world food prices jumped 60%. These increases combined with local factors had dramatic effects, particularly in West Africa, where millions of households already had insufficient income to cover their basic nutritional needs. Today, according to OECD and FAO projections, food prices are expected to remain stable in the medium-term. This is a good time to re-examine some important questions.

Are food products cheap in sub-Saharan Africa?

The question may seem surprising, as food is no doubt cheaper in the poorest countries. This is the first thing that any tourist would tell you, and it is confirmed by statistics. Sub-Saharan countries do indeed have the lowest prices in absolute terms (see figure). African food products are therefore much more affordable…for the European consumer. What about for the African consumer? Continue reading “Food prices must drop in Africa: How can this be achieved?”

Lia Beyeler9 Comments
Data, Natural Resources, Policy

What gets measured gets managed: Tapping into local procurement in the mining industry to advance development

By Luke Balleny, Manager, Role of Mining and Metals in Society, International Council on Mining and Metals

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Zambia – crusher for manufactured sand. Photo: Shutterstock

How do mining companies spend their money? If you didn’t know and listened only to the media, you might think such companies spend the most on taxes and royalties. However, you’d be wrong.

When minerals or metals are monetised, the revenue is shared between four main stakeholders in the following ways:

  1. 50–65% of mining revenue goes to operating and capital expenditure, such as the suppliers who are paid for their inputs.
  2. 15–20% goes to government, which receives its share through royalties and taxes.
  3. 15–20% goes to investors who receive profits, typically a residual after the other payments have been made.
  4. 10–20% goes to employees who are paid their wages.

A World Gold Council (WGC) study shows that out of the total annual spending in 2012 of USD 55 billion by the 15 WGC members studied, some USD 35 billion were payments to other businesses, mostly subcontracting and procurement. Less than USD 10 billion were royalty and tax payments to governments.

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Data, Gender, Women and Girls, SDGs

Closing the gender gap requires closing the data gap

By Sarah Hendriks, Director, Gender Equality, Bill & Melinda Gates Foundation

Read the Development Co-operation Report 2017 to find out more about data for development

DCR ID for blogIn many ways the world now is in better shape than ever. The global poverty rate fell below 10%; we see 9 out of 10 girls and boys entering primary school, and around 85% of all the world’s children are vaccinated against the most common diseases.

While we have come a long way, challenges remain. Perhaps the most pressing one is gender equality, since it affects all other areas of a society’s development. Nowhere in the world are males and females truly equal. Women learn less, earn less, have fewer rights and have less control over their assets and bodies. One stark example is that women are less likely to be financially included: 1.1 billion women around the world still do not have a formal bank account.

Underpinning these gaps, one challenge is particularly acute for women and girls: data.

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Data, Development finance, SDGs

With great data comes great responsibility

by Charlotte Petri Gornitzka, Chair, Development Assistance Committee
and Jorge Moreira da Silva, Director, Development Co-operation Directorate, OECD

This article is featured in the Development Co-operation Report 2017: Data for Development released today. Read the report and find out more about data for development.

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If USD 142.6 billion falls in the forest of development and no one hears it, does it matter?

That depends on who you are. While mothers in Afghanistan or South Sudan can tell you how their families’ lives have been transformed by effective development programmes every single day, strong data are needed to communicate how these billions of dollars improve the human condition and create more stable societies for all.

In 2016 official development assistance (ODA) to support development goals represented 0.32% of donor countries’ gross national income, an all-time high. However, aid to those who need it most, including least developed countries (LDCs), is declining. The June 2017 report card on the 2030 Development Agenda – the world’s roadmap to end poverty, inequality and injustice for all by 2030 through a set of 17 goals and 232 indicators – tells us progress is slow and data are incomplete.

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Lia Beyeler
Data, Development finance, SDGs

Improving sustainable development data is a task for all

by Martine Durand, OECD Chief Statistician and Director of the OECD Statistics Directorate

This article is featured in the Development Co-operation Report 2017: Data for Development to be released on 17 October 2017. Read the report and find out more about data for development.

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In an era of fake news and alternative facts, statisticians have a special responsibility. As the custodians of the evidence base for policy making, they must stand up for the right of all citizens to true, reliable and accessible information.

This is especially the case in the development field, and even more so since world leaders adopted the extraordinarily ambitious and wide-ranging 2030 Agenda for Sustainable Development in September 2015. At the heart of this global “plan of action for people, planet and prosperity” are 17 Sustainable Development Goals (SDGs) that “are integrated and indivisible and balance the three dimensions of sustainable development: the economic, social and environmental”, with the ultimate objective to leave no one behind. Achieving the SDGs will require informed choices about priorities and strategies, and for this we will need a better evidence base than we have today.

But statisticians – and especially statisticians in developing countries – cannot do this job alone.

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