Analyze data on e-government across countries

[pluralitybook]

Add to the Introduction both text and a figure highlighting international comparisons on e-government development across regime types, possibly including some light regression analysis. A possible source is the UN's E-Government Development Index.

[Jordanu12]

I looked into this using the UN E-Gov Development EDGI score and Freedom House Regime Typology of: Free, Partially Free and Not Free. https://publicadministration.un.org/egovkb/Data-Center I asked Bing to do some crude analysis here are the findings:

• Free countries tend to have higher EGDI scores than partly free or not free countries in all regions, except for MENA where the difference is not significant.
• Very high EGDI scores are mostly found in free countries, especially in Europe and Asia-Pacific. No not free country has a very high EGDI score.
• Low EGDI scores are mostly found in not free countries, especially in Africa. No free country has a low EGDI score.

• Partly free and not free countries have similar EGDI scores in some regions, such as Americas and MENA, but not in others, such as Africa and Asia-Pacific.

  I also explored correcting for GDP Per Capita, which seems to correlate with e-government development, even when their economic development is taken into account, this doesn't seem to make a difference.

  However, there are specific, striking example you can cite of authoritarian regimes scoring higher than democratic governments: UAE, is 13th, Kazakhstan is 28th, and Saudia Arabia is 31, ahead of: Canada 32, Italy 37, Brazil 49, and Mexico 62

  This data can be cited as: United Nations Department of Economic and Social Affairs. E-Government Knowledge Database, 2022. https://publicadministration.un.org/egovkb/Data-Center.

[pluralitybook]

I think a key question here is controlling for level of development. Free countries are richer than unfree ones. My guess is controlling for income, unfree ones are higher EDGI.

From: Jordanu12 @.> Sent: Thursday, August 31, 2023 3:31 PM To: pluralitybook/plurality @.> Cc: pluralitybook @.>; Author @.> Subject: Re: [pluralitybook/plurality] Analyze data on e-government across countries (Issue #15)

I looked into this using the UN E-Gov Development EDGI score and Freedom House Regime Typology of: Free, Partially Free and Not Free. https://publicadministration.un.org/egovkb/Data-Center I asked Bing to do some crude analysis here are the findings:

• Free countries tend to have higher EGDI scores than partly free or not free countries in all regions, except for MENA where the difference is not significant.
• Very high EGDI scores are mostly found in free countries, especially in Europe and Asia-Pacific. No not free country has a very high EGDI score.
• Low EGDI scores are mostly found in not free countries, especially in Africa. No free country has a low EGDI score.
• Partly free and not free countries have similar EGDI scores in some regions, such as Americas and MENA, but not in others, such as Africa and Asia-Pacific.

I also explored correcting for GDP Per Capita, which seems to correlate with e-government development, even when their economic development is taken into account, this doesn't seem to make a difference.

However, there are specific, striking example you can cite of authoritarian regimes scoring higher than democratic governments: UAE, is 13th, Kazakhstan is 28th, and Saudia Arabia is 31, ahead of: Canada 32, Italy 37, Brazil 49, and Mexico 62

This data can be cited as: United Nations Department of Economic and Social Affairs. E-Government Knowledge Database, 2022. https://publicadministration.un.org/egovkb/Data-Center.

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[Jordanu12]

Right, what I thought as well, but per above "I also explored correcting for GDP Per Capita, which correlates with e-government development; however, when economic development is taken into account and corrected for, this doesn't seem to make a difference. There is still a correlation between democracy and EGDI index.

[ccerv1]

OK, this was a cool dataset! I went with @Jordanu12 ideas and came up with two versions. I think the second one is more interesting.

Histogram version:

Facet plot version: