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Begin New Search Topic Development Content Type Policy Brief Author Charles Kenny Publication Year within 10 Years

1. When Does “What Works” Work? And What Does that Mean for UK Aid R&D Spend?

Author:
Charles Kenny, Euan Ritchie, and G. Lee Robinson
Publication Date:
10-2019
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
The UK’s Secretary of State for International Development[1] oversees an aid-financed R&D[2] budget that is larger than that of the next 15 biggest donors combined. [3] At the moment, a considerable proportion of that UK R&D spend goes towards solving global technological challenges related to neglected tropical diseases including malaria, and a considerable proportion again towards local evaluation of aid-financed development interventions. Much of the rest is somewhat opaquely distributed to British universities for research supposedly related to development. As well as reform of this last category, the range of more legitimate activities benefiting from ODA “research and development” calls for innovation in approaches to deliver outcomes. This paper will argue there is a (fuzzy) spectrum of development procedures, for some of which global innovation, evaluation, or “best practice” can be informative, for some of which local evaluation or experimentation can be useful, and for some of which perhaps only practical experience and local wisdom can help. That there is a spectrum of intervention types and research opportunities, and that local evidence is often required, has implications for the kind of research that UK aid can usefully support as part of its R&D program and where that research should happen. In turn, that suggests a reform agenda for the way UK ODA for R&D is currently spent.
Topic:
Development, International Cooperation, Foreign Aid, and Research
Political Geography:
United Kingdom and Europe

2. Automation and AI: Implications for African Development Prospects?

Author:
Charles Kenny
Publication Date:
10-2019
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
Now that computers are capable of taking the jobs that require brain as well as brawn, it may appear there is little left for humans to do. There are many scary forecasts of the capacity of automation and AI to replace a lot of workers very fast. Self-driving vehicles may wipe out opportunities for taxi driv- ers and truckers, for example. Brynjolfsson, Rock, and Syverson note there are 3.5 million people em- ployed driving vehicles in the US. If automation reduced that to 1.5 million, that alone would increase total US labor productivity by 1.7 percent,1 but it would also leave two million drivers looking for work. In 2013, Oxford economists Carl Frey and Michael Osborne made waves by predicting that 47 percent of US employment was automatable over the next two decades, with a higher estimate for developing countries.2 Erin Winick of Technology Review subsequently produced a summary table of job losses and gains estimations on automation.3 Some of the worldwide figures are in Table 1. There are clearly two sides to the ledger, but some of the predicted job loss numbers at the global level are considerable. The forecasts suggest bad news for Africa in particular, given concentration in types of low-skill jobs that might be easy to automate, rising working age populations, and already far too few good jobs to occupy the existing population. Arntz et al. suggest the share of workers at high risk of automation is 40 percent amongst those with a lower secondary education and above 50 percent for those with primary or less education.4 Advanced manufacturing and AI applications including automated call centers might even reverse the trend towards manufacturing and low-skilled services moving to developing countries. That would imperil a recent run of global income convergence. And there have been cases of impact al- ready: Foxconn replacing 30 percent of its workforce when it introduced robots, and 1,000 lost jobs in Vietnam when Adidas shuttered a factory and moved production to “speed factories” in Germany and the US. If this is the beginning of a trend, it would be harmful to African development prospects.
Topic:
Development, Science and Technology, Artificial Intelligence, Automation, and Emerging Technology
Political Geography:
Africa

3. Results-Based Payments Reduce the Real Costs of Corruption in Foreign Aid

Author:
Charles Kenny and William Savedoff
Publication Date:
01-2014
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
Why don't foreign aid programs simply pay recipients for attaining agreed upon results? The idea has been around for decades, but it continues to meet resistance. Some donors worry that programs that pay for outputs or outcomes would not be able to control how funds are used and would thus be vulnerable to corruption. This brief explains why results-based payment systems are actually likely to be less vulnerable to corruption than traditional input-tracking approaches by making the effects of corruption-the failure of programs to deliver results-more visible.
Topic:
Corruption, Development, and Foreign Aid