Last week, I attended a conference at the Rotman School of Management at the University of Toronto. It was BAD, and it was primarily about gender. (By BAD, I of course mean it was about “Behavioral Approaches to Diversity”.) The topic is obviously relevant to World Bank goals, both internally and for our clients, and to the work of the Mind, Behavior, and Development Unit (eMBeD). Here are some selected highlights.
Middle East and North Africa
Regional growth tumbled last year, led by oil exporters
Growth in the Middle East and North Africa is estimated to have slowed sharply to 1.8 percent in 2017 from 5 percent the year before, driven by decline in growth among oil exporters. Growth declined among Gulf Cooperation Council and non-GCC oil exporters, with oil production cuts and continued geopolitical tensions contributing to the fall-off.
The growing availability of satellite imagery and analysis means that all kinds of things we used to think were hard to quantify, especially in conflict zones, can now be measured systematically.
For example, estimating ISIS oil production. Soon after it proclaimed itself the Islamic State in Iraq and the Levant (a.k.a. ISIL/ISIS, the Islamic State, or Daesh, its Arabic acronym), the group was quickly branded the richest terrorist organization in history and oil was believed to be its major revenue source. A typical headline in Foreign Policy proclaimed “The Islamic State is the Newest Petrostate.”
The World Bank forecasts that global economic growth will strengthen to 2.7 percent in 2017 as a pickup in manufacturing and trade, rising market confidence, and stabilizing commodity prices allow growth to resume in commodity-exporting emerging market and developing economies. Growth in advanced economies is expected to accelerate to 1.9 percent in 2017, a benefit to their trading partners. Amid favorable global financing conditions and stabilizing commodity prices, growth in emerging market and developing economies as a whole will pick up to 4.1 percent this year from 3.5 percent in 2016. Nevertheless, substantial risks cloud the outlook. These include the possibility of greater trade restriction, uncertainty about trade, fiscal and monetary policy, and, over the longer term, persistently weak productivity and investment growth.
Download the June 2017 Global Economic Prospects report.
Global growth is projected to strengthen to 2.7 percent in 2017, as expected. Emerging market and developing economies are anticipated to grow 4.1 percent – faster than advanced economies.
The Organization of the Petroleum Exporting Countries (OPEC) unsettled oil markets in September when it announced it would resume placing limits on oil production among its members, effectively reversing two years of unrestrained production.
But how much control can OPEC really exert over prices? History suggests that formal agreements to influence the price of a particular commodity eventually fall apart. OPEC’s own history also shows that the short term benefits of managing supplies become long term liabilities. In addition, the oil producing landscape has changed dramatically in recent years with the advent of nonconventional producers, notably the U.S. shale oil industry. These factors will test the oil exporting organization’s power to influence markets.
Rural areas are changing rapidly, but the shift does not affect women and men in the same way.
In the process of rural development and transformation, as employment for both women and men expands in other sectors, employment in the agricultural sector is expected to shrink. Yet delving through available data and the literature, we find that the reality isn’t quite that simple. In a great number of developing countries, as men move out of family farming, women tend to stay--or move out of the sector a lot more slowly. Many women even take on new jobs and responsibilities in agriculture. We call this phenomenon the ‘feminization’ of agriculture.
Egypt ranks as one of the world’s most equal countries judging by official estimates of income and consumption inequality. Estimates of inequality, like estimates of poverty, are derived from national household surveys that collect detailed income and/or consumption data for a sample of households, assumed to be representative of the country’s population.