China and India are hard to ignore. Over the past 20 years they have risen as global economic powers, at a very fast pace. By 2012, China has become the second-largest world economy (based on nominal GDP) and India the tenth. Together, they account for about 36% of world population.
This is for anyone who ever found themselves frustrated by numbers -- myself included.
Right before college, I remember my parents asking me what degree I wanted to pursue. Vaguely, I answered “Anything without math.” Even during my post graduate studies, I consciously picked a degree with less mathematics in its curriculum. The irony is, I now work in the World Bank Group and numbers is its core language. But there is good news, not only for rookies like me, but for everyone – numbers can be fascinating, insightful and even fun.
‘My Favorite Number,’ is a YouTube series that shows how digits can give us unique insight into global development and humanity. World Bank Group’s economists share their stories on their favorite numbers – demonstrating how their brilliance (and humor) reaffirm that numbers are vital to everyday life. The videos show us that economists are not just about numbers. They bring passion and personal perspectives to relevant issues around the world.
Dong Yang is a first-year Ph.D. student at the University of Chinese Academy of Sciences. He majors in public administration. Dong got in touch with us to share his experience using World Bank Data as part of his research.
William Shakespeare once wrote, “There are a thousand Hamlets in a thousand people’s eyes.” Similarly, different people have different understandings of database services. Some people believe it is a type of personalized service, some believe it’s a value-added service, while others believe it’s a solutions-driven service. For us students, database services are vital to our research.
As a form of knowledge service, databases should be adapted to the changing needs of users, supporting both knowledge consumption and knowledge creation. A good database helps not only to convert “data” into “outcomes,” but also achieve the goal of pooling wisdom and creating knowledge by enhancing a user’s creativity with its rich resources and services. In my view, the World Bank’s Open Data has truly fulfilled these functions.
New developments and curiosities from a changing global media landscape: People, Spaces, Deliberation brings trends and events to your attention that illustrate that tomorrow's media environment will look very different from today's, and will have little resemblance to yesterday's.
This week's Media (R)evolutions: China is an Internet Sleeping Giant.
Merchandise trade has become an increasingly important contributor to a country’s gross domestic product (GDP), particularly for developing countries. Before the global financial crisis hit in 2008, merchandise trade as a percent of GDP for low- and middle-income economies was 57 percent, about 5% higher than for high-income economies. This is very evident in Europe and Central Asia (ECA) where merchandise trade accounts for 73 percent of the developing region’s GDP. Many ECA countries including Hungary, Belarus, and Bulgaria have merchandise trade to GDP ratios above 100 percent (155, 136, and 114 percent respectively in 2011), meaning merchandise exports are a large contributor to their overall economy.
Is China, after a hiatus of 150 years, again the largest economy in the world? Not all sources of GDP data agree, but there is little doubt that China is either already now the largest economy, or it will, within a year, become so by overtaking that of the United States. Whichever the case may be, a long era when the American economy was the largest in the world and which began around 1860, is now reaching its end.
Data on gross domestic product (called now Gross Domestic Income) are available from three sources: the Maddison project, which is the only source for the long-run series of national GDPs, going back to 1820s; the World Bank or IMF annual data, going back to 1960; and Penn World Tables, produced periodically at the University of Pennsylvania, going back from their just-released version 8.0 to 1950 . All three sources produce GDP data in PPP (purchasing power parity) terms, which means that they adjust for differences in price levels between the countries. The easiest way to explain it is to say that PPPs try to account for each good and service using the same price for it around the world, so that a mobile phone, a kilo of rice and a haircut would each be valued the same in China as in the United States. Only thus can the real sizes of the economies, and the welfare of people, be truly comparable. These PPP data, in turn, are obtained through a massive worldwide project called the International Comparison Program, which is run every five to 10 years and collects more than 1,000 prices in all countries.