Title |
Corruption and inequality of wealth amongst the very rich
|
---|---|
Published in |
Quality & Quantity, April 2015
|
DOI | 10.1007/s11135-015-0202-4 |
Pubmed ID | |
Authors |
Philip Hans Franses, Bert de Groot |
Abstract |
Corruption may lead to tax evasion and unbalanced favors and this may lead to extraordinary wealth amongst a few. We study for 13 countries 6 years of Forbes rankings data and we examine whether corruption leads to more inequality amongst the wealthiest. When we correct in our panel model for current and one-year lagged competitiveness and GDP growth rates, we find no such effect. In fact, we find that more competitiveness decreases inequality amongst the wealthiest. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 33% |
Netherlands | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 20% |
Student > Ph. D. Student | 4 | 13% |
Student > Master | 4 | 13% |
Student > Doctoral Student | 2 | 7% |
Lecturer | 2 | 7% |
Other | 7 | 23% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 7 | 23% |
Social Sciences | 7 | 23% |
Business, Management and Accounting | 3 | 10% |
Veterinary Science and Veterinary Medicine | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 6 | 20% |
Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2022.
All research outputs
#13,011,976
of 22,660,862 outputs
Outputs from Quality & Quantity
#294
of 597 outputs
Outputs of similar age
#122,616
of 265,237 outputs
Outputs of similar age from Quality & Quantity
#2
of 9 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 597 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,237 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.