I was privileged recently to spend a little time in The Gambia, whose people recently overthrew a megalomaniacal, authoritarian and in many respects vicious President, Yahyeh Jammeh, in an extraordinary democratic moment, due to their courage and the timely supportive action of other countries in West Africa (and very little if at all due to support from major powers, apart from their role in placing some effective limits on prior abuses and eventually supporting a Security Council resolution that helped to legitimize the ECOWAS action).
I was able to observe a moving event in which members of the country’s diaspora, from Alaska to Taiwan and from Cape Verde to Sweden, most of whom were active in opposition (and quite a number of whom were highly educated professionals successful in the countries to which they have departed) assembled to meet the new President and to express their pleasure at the New Gambia as well as their sincere hopes for the future. Conversations with ordinary Gambians reveal general relief and enormous optimism. Arguably, the current juncture provides the first opportunity since the country’s independence in 1965 for a broad ranging public conversation on the ends and means of development.Read More »
by Silla Sigurgeirdottir and Robert H. Wade
Iceland is surfing a tourist boom. From 440,000 tourists in 2008, numbers started surging in 2011 to reach 1.3 million in 2015 and 1.8 million in 2016. The resident population is 330,000 in an area over 40% that of the United Kingdom. Having experienced the sharpest crash of all the OECD economies in 2008-2009 Iceland regained the pre-crash level of average income by late 2014. GDP grew super-fast at over 6% in 2016, and forecasts suggest annual growth of almost 5% between 2017 and 2019, one of the fastest in the OECD.
Pre-tax salaries rose nearly 10% a year in both 2015 and 2016. Foreign exchange reserves are ample. Inflation is low, at less than 2% through 2016. Household debt to income is low. The state is paying down public debt fast; the current level is around 50% of GDP. The banks have passed stringent stress tests, with unusually low leverage ratios, low loan to value ratios, strong liquidity positions (especially in foreign currencies) and high capital ratios (close to 30%). A repeat financial crash is very unlikely.
So what is not to like? Given what is happening in Europe and the United States, political leaders elsewhere would love to have Iceland’s problems. Still, those problems could develop badly for the population at large.Read More »
by Ilan Strauss and Vasiliki Mavroeidi*
With the launch of India’s Make in India campaign, Karl P. Sauvant and Daniel Allman asked in their recent Perspective: “What can India learn from China?”, focusing on attracting FDI. However, the issue is not only attracting FDI, but benefitting from it fully. Liberalization alone will not enable Make in India to transform India into a manufacturing hub. Targeted industrial policies are required to ensure that FDI upgrades domestic capabilities.
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In a previous post, I wrote about the global trend of premature deindustrialization; the trend towards lower levels of industrial employment, and a shift away from industrial employment at lower levels of per capita income, and how the effects on human well-being of these trends are not yet clearly understood. An important question in understanding the impact of these changing structural patterns on individuals’ well-being is to whether either a lifting of the living standards of those not in formal employment, or the generation of employment to replace the manufacturing employment, is taking place.
In a recent working paper, I illustrated how combining a household level indicator of well-being with decomposition of change analysis can shed light on these questions by focusing on two specific episodes of growth; South Africa from 1996 to 2007 and Brazil from 1991 to 2010. Using Census data from IPUMS, I created indices of well-being on a scale of 0-100, using indicators such as child survival rate, access to clean water and electricity, and educations levels, culled from census data. Next, each household was assigned to a “type” based on sectoral employment of the household head and urban/rural location, and average household scores were calculated for each type. A decomposition of change analysis was then used to assign improvement in well-being to improvement within the types and shifts in population between these types.Read More »