Tuesday, November 29, 2011
Thursday, November 17, 2011
|AidData Dashboards - coming soon|
|Aleem Walji, World Bank|
|Panel: Tracking Aid|
Steve Davenport and Brad Parks are the new Co-Executive Directors of AidData.
Wednesday, November 16, 2011
Apart from sensitivity to political issues regarding Taiwan, the evidence suggests that Chinese aid is not overwhelmingly influenced by the country's commercial or political interests. Chinese aid allocation patterns seem to generally fall in line with the government’s non-interference policy. Dreher and Fuchs conclude that the use of the term “rogue aid”—see, for example, Moisès Naím's 2007 article in Foreign Policy magazine—to describe Chinese foreign aid is probably unwarranted. China, like DAC donors, uses aid to advance its strategic interests; however, it is more forthright about its policy that foreign assistance should benefit both the recipient country and the donor country.
The Dreher and Fuchs study also provides valuable information about trends in Chinese assistance; aid flows are tracked roughly from 1956 to 2006. Yet the authors admit that incomplete data limits the effectiveness of their study. They argue that greater transparency of aid flows (for more discussion of China and aid transparency, see a post from Monday on the Guardian’s Poverty Matters blog) would be beneficial to China, as it would help address concerns that China’s activities in the developing world are harmful.
This post was written by Austin Strange, a Research Assistant at the College of William and Mary.
Tuesday, November 15, 2011
Wednesday, November 2, 2011
Watch online – Friday, Nov. 4 – Putting Aid Data to Work: Using better information to get better results
The AidData team has been working with partners at the World Bank Institute and the Climate Change and African Stability (CCAPS) program to put together a great all-day event on open data and development, which will be hosted by the World Bank on Friday, November 4. Richard Manning, former Chair of the OECD-DAC, will give the keynote address by video. Then, a series of panel discussions will examine the aid transparency movement and how it is influencing development research and practice. We’ll hear from officials at donor agencies who are working on making aid information more available, mashable, and relevant. We’ll also hear from researchers who are looking into new ways to use aid information to assess aid effectiveness and allocation, with a special focus on climate change issues. Experts from a range of civil society organizations will also talk about how better information can empower citizens to be more engaged in the development process.
Specific initiatives discussed will include a pilot project by AidData, CCAPS, and the World Bank Institute working with the Government of Malawi to track all active aid within one country using interactive maps. The event will also mark the launch of AidData 2.0, with a sneak preview of the new AidData website and a new direction for the AidData program that focuses on transparency, innovation, and country and donor solutions for aid effectiveness.
For more information, including the full agenda and link to the live webcast, please visit the event website. We’ll be tweeting from @aiddata during the event and welcome comments using the #aiddata hashtag.
As a first step, we generated some basic descriptive statistics to gain a better understanding of overall trends in the data. We first converted all six point measures to binary variables: we re-categorized all projects as either “successful” (projects rated moderately satisfactory, satisfactory, or highly satisfactory) or “unsuccessful” (projects rated moderately unsatisfactory, unsatisfactory, or highly unsatisfactory).
After converting the data, we broke down project success by region. The regional groupings fall into three tiers.
Europe, East Asia, and Central Asia all have around 80% project success rates. Meanwhile, Latin America and the Caribbean, the Middle East and North Africa, and South Asia all have close to 75% success rates. Africa lags behind, with project success rates just above 60%. Future research might examine the source of this disparity between Africa and other regions. It would also be interesting to explore the linkages between country performance, World Bank monitoring and evaluation, and project success.
After analyzing the data by region, we also disaggregated project outcomes by the decade in which the project was initiated.
In the coming weeks, we’ll be releasing some more posts with additional analysis of these data. The World Bank's IEG should be commended for placing these data in the public domain. We are not aware of any other donor that has published such comprehensive project implementation and evaluation data.
This post was contributed by AidData research assistants Ben Buch (William and Mary '12) and Doug Nicholson (William and Mary '12).