E-government versus E-participation

Ever wondered what the practical difference between the UN E-government measures and the UN E-participation measures?

The recently publish data from UNPAN shows us that the differences are practically absent. In the following image, I have plotted the correlation between the E-Government measurements and E-participation measurements.

Correlation between UN E-Government Measure and UN E-Participation Measure

Correlation between UN E-Government Measure and UN E-Participation Measure

A straight diagonal line, which is clearly visible in the plot, means that there is a strong correlation. I.e. that the E-participation measure can be extracted from  (or calculated from) the E-Government measure. If the data looks chaotic, which is not the case here, it means the measures from E-participation and E-Government are independent.

This plot clearly shows a strong correlation. It even has a Pearson Correlation, which is a statistical way of showing that to data sets are correlated, is a staggering 0.66, which is extremely much in the social sciences.

The question which naturally arises is why bother with both measurements?

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3 Responses to E-government versus E-participation

  1. dr.pkaditya says:

    On RTI hyperlink of my website http://www.pkaditya.com, I have shown with respect to egov hyperlink, that proactive disclosure under India’s right to information Act, RTI, is exactly identical to the thre criteria used to define e-participation. The above equivalence with egov readiness further proves the universality of supremeness of citivecs’ participation in policy-making and decision-taking, “in realtime” i.e., online as well as broad-band connectivity. dr.pkaditya@gmail.com

  2. Peride Blind says:

    Almost all variables are highly correlated when it comes to indicators, particularly composite ones, dealt with in social sciences. The rule of thumb in political science is that two variables are considered highly correlated if r (pearson correlation) is equal to or higher than 0.8. The caveat is to be careful when you do regression analysis using these indicators so that multicollinearity is accounted for. As for measuring “egov” and “eparticipation” separately, I think, yes, definitely, this should be the case.

    • Naturally I agree with you that multicollinearity should be taken into account when applying correlation analysis if possible. For this to be carried out, details on the measurement methodologies are required, which are not publicly available. This includes the underlying data for used to compute the E-government and E-participation scores. By using only the high level E-government and E-participation results, which is only what is available from the UNPAN web site, it is not possible to take multicollinearity into account.

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