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The Global eGovernment Experts Workshop in Bahrain
Wednesday, 05 December 2012

Professor Pavle Sicherl prepared a presentation on eGovernment measurement - The role and the time perspective on indicators


United Nation Public Administration Network published under UN E-Government Survey in the News on November 7, 2012 the news – ‘17 Nations Discusses the UN eGovernment Indexes in Bahrain’:

“For the first time in the world, a Global Expert Workshop was organized by the eGovernment Authority (eGA) in order to discuss all the United Nations eGovernment indexes, with the participation of elite countries, the United Nations, International Telecommunication Union (ITU) and ICT experts. Pavle Sicherl, Professor in Economics at the University of Ljubljana in Slovenia presented the first paper of the workshop entitled 'eGovernment Measurement - The role and the Time Perspective on Indicators'. He highlighted the key findings from the 2012 survey which include eGovernment survey rankings by countries and regions, the steady improvement in all the indicators of the eGovernment development index and an imbalance remains in the digital divide between developed and the developing countries.”

Professor Sicherl suggested several points for discussion:
1. Sustainable development requires that the analysis is broadened.
2. Static measures alone are inadequate.
3. To enable the dynamic comparability of the composite indices it would be advisable to make a change in the standardization process.
4. Absolute values of original data and indicators should be analysed in addition to the static comparison and composite indicators, at regional and at the country level.
5. Open data access to selected original data and indicators would be an important help to the countries for comparing the evolution over time.

 
Upgraded visualisation of the Gaptimer MDG Progress Chart
Monday, 10 September 2012

Gaptimer MDG Progress Chart enables immediate visualisation with 25 graphs


We have upgraded earlier visualisations in two ways. Firstly, by clicking on Gaptimer MDG Progress Chart the readers can reach 25 graphs thus providing user friendly access to better understanding and analysis. Time distances for 100 results for indicators and units are presented in a single summary table. For more detailed analysis we have added 5 graphs and Excel files of calculations in which time distance lead or lag from the line to the respective MDG 2015 targets are shown for 111-140 developing countries respectively. Secondly, interested readers can download the Excel files over the analysed period 1990-2010, analyse all individual country results and select results for those countries that they would like to compare with (e.g. by regions like African countries or simply with neighbouring countries).

Gaptimer Progress Chart of MDG implementation for world regions 



Are we on the track, ahead or behind in time measured by S-time-distance in years 
(+ time lag, - time lead) comparing with the line to the 2015 MDG targets around 2010
Gaptimer MDG Progress Chart   Developing Regions Northern Africa Sub-Saharan Africa Latin America and the Caribbean Eastern Asia Southern Asia South-Eastern Asia Western Asia CHINA INDIA IND 4.1 IND 5.1 IND 7.8t IND 7.9t IND 8.16 Proportion of population living below $1 (PPP) per day (2008) Prevalence of underweight children under-five years of age Net enrolment ratio in primary education Ratio of girls to boys in primary education Under-five mortality rate Maternal mortality ratio Tuberculosis patients successfully treated under short course (2009) Proportion of population using an improved drinking water source, total Proportion of population using an improved sanitation facility, total Internet users per 100 inhabitants (2011) The Millennium Development Report 2012 Gaptimer
1. Click on the name of the world region to view the bar chart over the 10 selected indicators
2. Click on the name of the indicator to view the bar chart over the 10 selected units
3. For 5 selected indicators click on the number of the indicator to view the S-time-distance deviation graph for individual developing countries with appropriate data around 2010: 

IND 4.1, Under-five mortality rate, 137 developing countries
IND 5.1, Maternal mortality rate, 127 developing countries
IND 7.8t, Proportion of population using an improved drinking water source (total), 117 countries
IND 7.9t, Proportion of population using an improved sanitation facility (total), 111 countries
IND 8.16, Internet users per 100 inhabitants, 140 developing countries

For charts of time distances for individual countries on the axis with the country names only every fourth name of the country could be displayed due to lack of space.


Excel files of calculations of time distance deviations from the lines to target for 111-140 individual developing countries for the 5 selected indicators are available below. Thus a more detailed analysis is possible so that interested readers can download the files, analyse all individual country results and select from the results those countries that they would like to compare with (e.g. by regions like African countries or simply with neighbouring countries). 

EXCEL FILES of S-time-distances for selected developing countries:

 
Visualisation of MDG implementation with Time Distance Progress Chart
Tuesday, 21 August 2012

Are we ahead or behind in time comparing MDG implementation for 10 selected
indicators for World regions, China and India with the line to the 2015 MDG targets?

Time Distance Progress Chart of Millennium Development Goals implementation

We are using data from the UN, The Millennium Development Report 2012, New York, July 2012 and present the MDG implementation in the time distance perspective. The MDG 2012 Progress Chart (United Nations 2012) gives a quick assessment over 16 selected key targets, as it can deal also with qualitative judgments. For a more restricted number of 10 selected indicators for which numerical estimates are available we complement the UN Progress Chart with Time Distance Progress Chart of monitoring the progress of implementation.

Time distance is first and foremost important as an innovative concept of looking at data in a novel complementary and intuitively understandable way. The application to monitoring is easy to understand and to communicate; it is like comparing actual arrivals with the train (airplane, bus) timetable. S-time-distance measures deviation in time showing whether the actual developments are ahead or behind in time from path to the 2015 MDG targets (+ time lag, - time lead).

Are we ahead or behind in time comparing with the line to the 2015 MDG targets?

The table below examines the situation in more details for Developing Regions, 7 world regions, China, and India. The situation differs among the world regions, but the overall situation shows that for about 26% of cases of 10 selected indicators from all 8 MDG areas the 2015 targets were already achieved, for another 24% of cases the actual developments were ahead of the line to the 2015 targets. From about one half of the cases that were lagging behind about 17% were lagging more than 6 years, especially in Sub-Saharan Africa. China as the most populated country shows excellent results, for six out of ten indicators it already reached their 2015 MDG targets.

Time Distance Progress Chart of MDG implementation for world regions


For each of the analysed units graphical presentation of MDG implementation are provided in the PowerPoint file below. The table above also allows comparisons of implementation across indicators and regions at a glance. From the health domain the three selected indicators stand out as the cases where the MDG targets (with one exception) have not been achieved in any of the world regions. This is true also for the net enrolment ratio in the primary education where the target of full enrolment was set too high in view of the starting positions.

It should be reasonably easy to incorporate the S-time-distance methodology for monitoring implementation of the MDGs in the work of the UN, the World Bank and other agencies or countries on these issues, both at macro and at micro levels.

 
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