| Title |
Income and Happiness in Time of Post-Communist Modernization
|
|---|---|
| Published in |
Social Indicators Research, November 2010
|
| DOI | 10.1007/s11205-010-9749-6 |
| Pubmed ID | |
| Authors |
Krzysztof Zagórski |
| Abstract |
This paper discusses the relations between economic development, family income, and happiness in post-communist Poland from the point of view of Inglehart's theory of modernization. The happiness is understood as satisfaction with income and life, and as psychological well-being. The analysis of survey data yields the conclusion that economic development reduces the strength of the relations between income and satisfaction as well as between income and psychological well-being. These findings may be explained by changes in the value system from collectivist/materialist to individualist/post-materialist, even when these values are not directly measured. The analyzed data are from a series of representative surveys conducted in Poland during a period of political and economic transformation (i.e., between 1989 and 2008). Official statistical data on Polish economic development during the same period are used as a background for survey results. The relations between income and happiness change in Poland in a way consistent with Inglehart's modernization theory. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Colombia | 1 | 2% |
| Slovenia | 1 | 2% |
| France | 1 | 2% |
| Denmark | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 43 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Professor > Associate Professor | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 15 | 30% |
| Economics, Econometrics and Finance | 9 | 18% |
| Psychology | 3 | 6% |
| Computer Science | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 11 | 22% |
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 27 November 2011.
All research outputs
#13,123,643
of 22,653,392 outputs
Outputs from Social Indicators Research
#1,130
of 1,718 outputs
Outputs of similar age
#75,871
of 100,123 outputs
Outputs of similar age from Social Indicators Research
#15
of 16 outputs
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.