TY - JOUR
T1 - Addressing the social determinants of subjective wellbeing
T2 - the latest challenge for social policy?
AU - Deeming, Christopher
N1 - Christopher Deeming (2013). Addressing the Social Determinants of Subjective Wellbeing: The Latest Challenge for Social Policy. Journal of Social Policy, 42, pp 541-565. doi:10.1017/S0047279413000202.
PY - 2013/7/1
Y1 - 2013/7/1
N2 - The idea that the happiness and wellbeing of individuals should shape government policy has been around since the enlightenment; today such thinking has growing practical policy relevance as governments around the world survey their populations in an effort to design social policies that promote wellbeing. In this article, we consider the social determinants of subjective wellbeing in the UK and draw lessons for social policy. Survey data are taken from the ‘Measuring National Wellbeing Programme’ launched by the UK's Office for National Statistics in 2010. For the empirical strategy, we develop bivariate and multivariate logistic regression models, as well as testing for interaction effects in the data. The findings show that wellbeing is not evenly distributed within the UK. Socio-demographic characteristics such as age, gender, ethnicity, employment, household composition and tenure all matter, as does health status. Influencing population wellbeing is inherently complex, though, that said, there is a clear need to place greater emphasis on the social, given the direction of current policy.
AB - The idea that the happiness and wellbeing of individuals should shape government policy has been around since the enlightenment; today such thinking has growing practical policy relevance as governments around the world survey their populations in an effort to design social policies that promote wellbeing. In this article, we consider the social determinants of subjective wellbeing in the UK and draw lessons for social policy. Survey data are taken from the ‘Measuring National Wellbeing Programme’ launched by the UK's Office for National Statistics in 2010. For the empirical strategy, we develop bivariate and multivariate logistic regression models, as well as testing for interaction effects in the data. The findings show that wellbeing is not evenly distributed within the UK. Socio-demographic characteristics such as age, gender, ethnicity, employment, household composition and tenure all matter, as does health status. Influencing population wellbeing is inherently complex, though, that said, there is a clear need to place greater emphasis on the social, given the direction of current policy.
KW - welfare
KW - wellbeing
KW - social policy
KW - inequality
U2 - 10.1017/S0047279413000202
DO - 10.1017/S0047279413000202
M3 - Article
SN - 0047-2794
VL - 42
SP - 541
EP - 565
JO - Journal of Social Policy
JF - Journal of Social Policy
IS - 3
ER -