| Title |
Women, Demography, and Politics: How Lower Fertility Rates Lead to Democracy
|
|---|---|
| Published in |
Demography, March 2018
|
| DOI | 10.1007/s13524-018-0655-x |
| Pubmed ID | |
| Authors |
Udi Sommer |
| Abstract |
Where connections between demography and politics are examined in the literature, it is largely in the context of the effects of male aspects of demography on phenomena such as political violence. This project aims to place the study of demographic variables' influence on politics, particularly on democracy, squarely within the scope of political and social sciences, and to focus on the effects of woman-related demographics-namely, fertility rate. I test the hypothesis that demographic variables-female-related predictors, in particular-have an independent effect on political structure. Comparing countries over time, this study finds a growth in democracy when fertility rates decline. In the theoretical framework developed, it is family structure as well as the economic and political status of women that account for this change at the macro and micro levels. Findings based on data for more than 140 countries over three decades are robust when controlling not only for alternative effects but also for reverse causality and data limitations. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Professor | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 23 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 16 | 27% |
| Economics, Econometrics and Finance | 7 | 12% |
| Engineering | 3 | 5% |
| Unspecified | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 25 | 42% |
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 23 July 2018.
All research outputs
#13,015,728
of 23,043,346 outputs
Outputs from Demography
#1,655
of 1,868 outputs
Outputs of similar age
#161,030
of 333,770 outputs
Outputs of similar age from Demography
#24
of 26 outputs
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We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.