Between nature and nurture: The genetic overlap between psychological attributes and selection into public service employment
Published date | 01 July 2023 |
Author | Lei Tao,Hailun Liang,Bo Wen,Tao Huang |
Date | 01 July 2023 |
DOI | http://doi.org/10.1111/puar.13582 |
RESEARCH ARTICLE
Between nature and nurture: The genetic overlap between
psychological attributes and selection into public
service employment
Lei Tao
1,2
|Hailun Liang
1,3
|Bo Wen
2
|Tao Huang
4
1
School of Public Administration and Policy,
Renmin University of China, Beijing, China
2
Department of Public and International Affairs,
City University of Hong Kong, Hong Kong SAR,
China
3
Johns Hopkins Bloomberg School of Public
Health, Johns Hopkins University, Baltimore,
Maryland, USA
4
Department of Epidemiology & Biostatistics,
School of Public Health, Peking University,
Beijing, China
Correspondence
Hailun Liang, Renmin University of China, Beijing
100872. China.
Email: hliang@ruc.edu.cn
Funding information
National Natural Science Foundation of China,
Grant/Award Numbers: 71804183, 72274201
Abstract
Public administration scholars have had a long-lasting interest in examining
individual differences relevant to the attractiveness of public service employment.
However, very few studies have explored the genetic underpinnings of these vari-
ations. This article builds upon recent behavioral genetics literature and explores
whether there are genetic overlaps between psychological attributes and selection
into public service employment. We construct the polygenic risk scores (PRSs) on
two psychological attributes—neuroticism and positive affect—to model the
genetic influence on public service employment in a nationwide UK dataset with
262,795 participants. The results suggest that the PRS of positive affect is a signifi-
cant predictor of individuals’selection into public service employment, implying
that individuals with high innate happiness are more likely to self-select into ser-
vice work. Taking the existing socialization literature and this result into consider-
ation, our findings support that both nature and nurture factors shape individuals’
selection into public service employment.
Evidence for practice
•Individuals with high innate happiness are more likely to self-select into public
service employment.
•Public administration managers should be aware that most individual behaviors
and traits are determined by both genetic dispositions and environmental
influences.
•The research on the heritability of vocational choice does not advocate genomic
selection or bio-determinism but highlights the need to discover and recognize
natural facts.
INTRODUCTION
The intriguing question of why some individuals are
more likely to join the public service workforce than
others has intrigued public administration scholars for
decades (e.g., Bright & Jr, 2015;Lewis&Frank,2002;
Perry & Wise, 1990). Based on the person-environment
(P-E) fit (Kristof, 1996) framework, previous studies
have extensively examined individual characteristics,
including the Big Five personality traits, public service
motivation (PSM), value preference, and socio-
demographic factors (Korac et al., 2019). Although
these studies offer valuable insights into how individual
differences shape public sector preference, most of
them fall short in considering possible natural factors
as critical individual characteristics that influence the
choice of public employment.
Decades of behavioral genetics and twin research
have indicated that nearly all aspects of human individual
differences are determined by both genetic endowments
and environmental influences (Ebstein et al., 2010;
Polderman et al., 2015; Turkheimer, 2000). Genetic factors
generally explain approximately 37 percent–61 percent of
the variation in vocational interests, with the remaining
being attributed to environmental influences (Schermer &
Vernon, 2008). Studies based only on nurture factors may
bias the estimation of the influence of environmental fac-
tors on job selection, as differences in vocational interests
Received: 30 March 2022Revised: 27 October 2022Accepted: 18 November 2022
DOI: 10.1111/puar.13582
Public Admin Rev. 2023;83:809–822. wileyonlinelibrary.com/journal/puar © 2022 American Society for Public Administration.809
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