rural-urban dynamics_report.pdf - Khazar University
rural-urban dynamics_report.pdf - Khazar University
rural-urban dynamics_report.pdf - Khazar University
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80 MACROECONOMIC, TRADE, AND AID DEVELOPMENTS GLOBAL MONITORING REPORT 2013<br />
BOX 1.3<br />
Potential uses of mobile phone surveys<br />
As mobile phone ownership rates have risen dramatically<br />
in Africa, interest has increased in using mobile<br />
telephones as a data collection platform. Face-to-face<br />
household surveys are usually expensive and time<br />
consuming, and mobile phone surveys are proving to<br />
be a cost-effective, flexible, and rapid way to collect<br />
data on a wide range of topics and over time.<br />
South Sudan and Tanzania have both piloted<br />
mobile phone surveys, with reasonable success. In<br />
South Sudan, 1,000 respondents in 10 <strong>urban</strong> areas<br />
were given cell phones in 2010 and surveyed on a<br />
monthly basis. In Tanzania, 550 households were<br />
administered a baseline survey in 2010, and an adult<br />
respondent was selected for a weekly mobile phone<br />
survey (for 25 weeks), later administered every 2<br />
weeks (for 8 weeks). Both surveys collected information<br />
on a wide variety of issues, including health, education,<br />
water, security, nutrition, travel times, prices,<br />
electricity, and governance. The surveys also asked<br />
respondents for their perceptions on the most pressing<br />
problems to be addressed by the city government<br />
and their opinion about a draft constitution, and collected<br />
baseline information for large-scale programs<br />
on food fortification.<br />
The cost per interview in each round in Tanzania<br />
ranged between $4.10 and $7.30, or about $0.42 a<br />
question (plus $50–$150 for a baseline interview).<br />
Thus for long surveys, face-to-face interviews may<br />
be more cost-effective. However, the evidence from<br />
South Sudan and Tanzania suggests that mobile surveys<br />
can collect quality data in a timely manner that<br />
is of use to a wide range of data users. Attrition and<br />
nonresponse need to be dealt with at implementation,<br />
but the ability to modify surveys easily in subsequent<br />
survey rounds is a key benefit.<br />
Last, the data collected in Tanzania were widely<br />
disseminated through a dedicated website, with additional<br />
help from a local television journalist who<br />
ensured that information was widely publicized.<br />
Accountability for public services has <strong>report</strong>edly<br />
increased, suggesting that results need to be disseminated<br />
systematically to civil society, the media, and<br />
the government to be fully effective.<br />
Source: Croke et al. 2013.<br />
Notes<br />
1. The classification of countries is the one used<br />
in the IMF’s World Economic Outlook.<br />
Emerging market and developing countries<br />
are those countries that are not designated<br />
as advanced countries. Countries that are eligible<br />
for financial assistance under the IMF’s<br />
Poverty Reduction and Growth Trust constitute<br />
a subset of emerging market and developing<br />
countries; these countries are denoted<br />
low-income countries although eligibility is<br />
based on other considerations in addition to<br />
income levels. Emerging market and developing<br />
countries that are not eligible for financial<br />
assistance under the Poverty Reduction and<br />
Growth Trust are designated as emerging<br />
market countries. Fragile states are countries<br />
included in the World Bank’s list of Fragile<br />
and Conflict-Affected States as of early 2013.<br />
Appendix table A1.2 includes the list of all<br />
countries and economies.<br />
2. Each low-income country has been assessed<br />
according to a common set of criteria. For<br />
example, a country with a large fiscal deficit<br />
and an unsustainable level of public debt<br />
would be judged to have an unsatisfactory fiscal<br />
policy stance.<br />
3. Somalia and South Sudan have been excluded<br />
from the IMF’s vulnerability exercise for lowincome<br />
countries, because of lack of data.<br />
4. Small low-income countries are those with a<br />
population less than 1.5 million.<br />
5. All data under the vulnerability exercise refer<br />
to the median observation for 72 low-income<br />
countries, unless otherwise noted.<br />
6. Fiscal consolidation would also be needed in<br />
some resource-rich countries to build buffers<br />
over time that would help manage challenges<br />
arising from volatility and exhaustibility of<br />
natural resources.<br />
7. The index uses a globally consistent definition<br />
of settlement concentration based