From the e-commerce site Taobao.com to the social media app WeChat, China has drawn global attention to its digital platform economy. A third of the top-200 digital platforms were born in China according to the Global Platform Survey 2016. They are also growing fast. A 2017 report published by Ali Research shows that the digital platform sector contributes to 10.5% of China’s GDP.
Labor and Social Protection
It is widely accepted that corporate tax avoidance is commonplace, but experts disagree over the precise amount of tax that corporations successfully avoid. One estimate for 2012 suggests that 50 percent of all foreign income of multinationals is reported in jurisdictions with an effective tax rate below 5 percent; another suggests it’s more like 40 percent. The OECD estimates that governments worldwide are missing out on anything between four and ten percent of global corporate income tax revenue every year, or US$100–$240 billion. While the accounting varies, one fact is clear: there is an unacceptable level of corporate tax avoidance, no matter how you do the math.
Can cash transfers increase voting in elections? An upcoming article by Conover et al estimates that participation of Colombia’s Familias en Accion conditional cash transfer (CCT) program increases the probability that women cast a ballot by 2.8% (and women are more likely to vote for the incumbent candidate who supported the CCT).
How long do the effects of cash transfers last? A paper by Blattman et al found that after nine years from inception, cash grants for young-adults in Uganda had lasting impacts on assets and skilled work, but had little eﬀect on mortality, fertility, health or education. See Ozler’s nice blog dissecting the study. A paper by Barham et al found that, after 10 years from inception, conditional cash transfers in Nicaragua did not lead to long-term impacts in learning, but did yield significant impacts on nutrition (body mass index), fertility, and subsequent labor market outcomes and income.
In 1997, Garry Kasparov, one of the greatest chess players in history, lost a chess match to a supercomputer called Deep Blue. Some years later Kasparov developed “advanced chess,” where a human and a computer team up to play against another human and computer. This mutation of chess is mutually beneficial: the human player has access to the computer’s ability to calculate moves, while the computer benefits from human intuition.
IT’S robots that mostly come to mind when you ask people about the future of work. Robots taking our jobs, to be specific. And it’s a reaction that’s two centuries old, in a replay of Lancashire weavers attacking looms and stocking frames at the start of the first Industrial Revolution. A secondary reaction, among a much smaller group, is the creation of new jobs in the coming fourth Industrial Revolution.
Professor Ed Glaeser at Harvard neatly summarizes this dichotomy in one figure:
Let’s start with social protection in Africa. A new paper by Kagin et al. estimates that in Malawi, each Malawi Kwacha (MK) transferred through the Social Cash Transfer Program generates 1.88 MK, while multipliers of public works are between 2.9-3.24 MK. In the same country, the Malawi Economic Monitor by Kandoole et al. has a very crisp, insightful edition discussing safety nets, e.g., spending is only 0.6% of GDP compared to 2% of input subsidies, and almost 6% on humanitarian aid.