Time Distance Progress Chart of MDG implementation

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Time Distance Progress Chart of MDG implementation
Author
Pavle Sicherl
Organisation
SICENTER and University of Ljubljana
Date
July and November 2012
Type
Article


Contents

About monitoring implementation of targets with time distance measure

Analysis of MDG implementation needs a clear distinction between the progress made in the world in the analysed period and still considerable delays in the implementation of the MDGs. Progress has been made in all selected indicators and in all world regions (though it has been quite uneven across regions as well as across countries within the regions). 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 new Report brings two positive messages: it has new additional data and a brighter picture than two years ago.

The MDG 2012 Progress Chart (United Nations 2012) is very useful to give a quick assessment of the complex issue of levels, trends and progress made over 16 selected key targets, as it can deal also with qualitative judgments. For a more restricted number of 10 selected indicators related to these targets for which numerical estimates are available we complement the UN Progress Chart with Time Distance Progress Chart of monitoring the progress of implementation. In this way we provide additional information and facts for such judgments and enrich the policy debate and semantics in a dynamic context.

Time distance is first and foremost important as an innovative concept of looking at data in a novel complementary and intuitively understandable way providing new insights from existing data. The time distance approach compares time series in the horizontal dimension, i.e. for a given level of the variable, based on two generic statistical measure: S-time-distance and S-time-step.[1],[2]

The application to monitoring[3] 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). For instance, for the indicator prevalence of underweight children under-five years of age the MDG envisages that for Developing Regions the percentage would decrease by one half from 29 in 1990 to 14.5 in 2015. In 2010 the actual percentage achieved was 18, while that level was assumed to be reached on the line to the 2015 target already in 2009. The time distance metric indicates one year of lag behind the line to the 2015 target.

Overview of MDG implementation for world regions, China, and India

Implementation of the Millennium Development Goals is an important global issue. It requires continuous monitoring and communication of the situation at the world, regional, national and sub-national levels. Monitoring and evaluation of the degree of implementation of policy or business targets are indispensable phases of the policy circle. The question what happened with the implementation of the MDG targets can be approached from several perspectives. Empirically deviations from the line to target, i.e. comparing actual values with target values, forecast, budget, plan, etc. can now be measured in two dimensions: static deviation and Sicherl time distance deviation. The Gaptimer Progress Chart below presents the summary situation in the time perspective for the average for Developing Regions, for 7 world regions, China, and India.

Immediate visualisation of the Gaptimer Progress Chart with 25 graphs

Gaptimer Progress Chart of MDG implementation for world regions

Are we on the track 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

Gaptimer MDG Progress Chart enables immediate visualisation with 25 graphs:

  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 appropiate 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.

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

The Gaptimer Progress Chart allows comparisons of implementation across indicators and regions at a glance providing numerous stories of the situation from the novel time perspective to make the MDG implementation more understandable to policy makers and common people:


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U5MRdevcountries.jpg


Overview of MDG implementation at the country level

UN MDG database does not contain as many points for countries as for world regions. Therefore we cannot repeat fully the analysis done above, here we analyse five selected indicators for which the values around 2010 are available to a greater extend. Even for the restricted selection of five indicators for 153 developing countries there are 160 cases for which either the values for the indicator in general or for 2010 are not available, which amounts to 21% of all possible cases. Nevertheless, the percentages of available cases by being ahead or behind in time from the line to 2015 targets can be for Developing Regions broadly compared to the Gaptimer MDG Progress Chart for world regions for 10 indicators above.

Summary of country results for 5 indicators over developing regions around 2010

5 IND at country level.JPG


With respect to the percentage of cases when the 2015 target was already achieved the values are very similar: about 26% of cases of 10 selected indicators from all 8 MDG areas and about 27% of countries (or 163 cases) with available data for the 5 selected indicators in the second case. For other categories the percentages of achievement are more favourable for the world regions than for the country count. For the latter it was also shown that in about 7% of available cases no progress was registered. The table above enables the analysis of the distribution of cases by time distance categories also for 8 world regions.

For more detailed analysis we have added 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 for the five selected indicators.

EXCEL FILES of S-time-distances for selected developing countries:
IND 4.1 Under-five mortality rate
IND 5.1 Maternal mortality ratio
IND 7.8t improved drinking water
IND 7.9t improved sanitation
IND 8.16 Internet users

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).

For under-five mortality rate the above available Excel file for S-time-distances for 137 countries is re-ordered by countries in a given world region by the descending order of the S-time-distance in 2010. This example shows how tables for a given indicator could look in the regional reports on MDG implementation over the whole period or how it could be compressed by selecting the columns for those years of interest.

Similarly it would be possible to combine values for different indicators for a given country or selection of countries by interest of the user.

Benefits of tracking the implementation of targets with S-Time-Distance measure



See also

References

  1. Sicherl, P. (2011), “New Understanding and Insights from Time-Series Data Based on Two Generic Measures: S-Time-Distance and S-Time-Step”, OECD Statistics Working Papers, 2011/09, OECD Publishing
  2. Sicherl, P. (2012), Time Distance in Economics and Statistics, Edition echoraum, Vienna
  3. Sicherl, P. (2007), Monitoring Implementation of the Millenium Development Goals in the Time Dimension, OECD/ISTAT seminar Dynamic Graphics to Present Statistics, Rome, March 5-6, 2007

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