LEADER 02648nam a2200337 i 4500001    99131234917606421
005    20231010082018.0
006    m     o  d
007    cr |||||||||||
008    231010s2023    dcu     o     000 0 eng d
024 7  10.1596/1813-9450-10423
035    (CKB)5600000000604668
035    (NjHacI)995600000000604668
035    (EXLCZ)995600000000604668
040    NjHacI |beng |erda |cNjHacl
050  4 TK3001 |b.S458 2023
082 04 621.319 |223
100 1  Seitz, William, |eauthor.
245 10 Blackout or Blanked Out? : |bMonitoring the Quality of Electricity Service in Developing Countries / |cWilliam Seitz, Joao Pedro Azevedo, Yuya Kudo.
264  1 Washington, District of Colombia : |bWorld Bank, |c2023.
300    1 online resource (21 pages).
336    text |btxt |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
490 1  Policy research working papers
588    Description based on publisher supplied metadata and other sources.
520    Access to reliable electricity is a Sustainable Development Goal, and key for both economic growth and individual wellbeing. Yet, in the absence of sophisticated monitoring systems, policy makers in developing countries commonly rely on surveys to measure electricity reliability and prioritize investments. The accuracy of such survey-based methods is unclear. This study built a low-cost national electricity outage monitoring network, using off-the-shelf components in Tajikistan - a country with severe electricity service constraints. The system was introduced alongside a monthly household survey called Listening to Tajikistan, which allowed benchmarking the survey summary statistics against unbiased measures. The results show that although the two measures were well correlated, the survey data suffered from significant and systematic bias. Survey respondents (i) systematically underreported the incidence and severity of electricity outages on average, but (ii) systematically overreported the incidence of outages during a period of abnormally widespread service disruption of long duration. These findings suggest that bias in survey-based measures is sensitive to the salience of outages to the respondent, and that, where feasible, automated electricity monitoring can provide more accurate quality measurement. For survey settings, the results also suggest that estimates are more accurate over short (daily) reference periods.
650  0 Electric power transmission.
650  0 Energy policy.
700 1  Pedro Azevedo, Joao, |eauthor.
700 1  Kudo, Yuya, |eauthor.
830  0 Policy research working papers.
906    BOOK