scholarly journals Formal institutions and subjective well-being: Revisiting the cross-country evidence

2010 ◽  
Vol 26 (4) ◽  
pp. 419-430 ◽  
Author(s):  
Christian Bjørnskov ◽  
Axel Dreher ◽  
Justina A.V. Fischer
2016 ◽  
Vol 48 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Cheng-Hong Liu ◽  
Yi-Hsing Claire Chiu ◽  
Jen-Ho Chang

Previous studies have shown that Easterners generally perceive themselves as having lower subjective well-being compared with Westerners, and several mechanisms causing such differences have been identified. However, few studies have analyzed the causes of such differences from the perspective of the cross-cultural differences in the meanings of important life events such as whether people receive approval from others. Specifically, events regarding others’ approval might have different meanings to and influences on Easterners and Westerners. Thus, the degree of fluctuation of people’s views of self-worth in response to these events (i.e., others’ approval contingencies of self-worth [CSW]) probably differs between Easterners and Westerners. This may be a reason for cross-cultural differences in subjective well-being. We investigated two samples of undergraduate students from Taiwan and the United States to examine the mediating role of others’ approval CSW in forming cross-cultural differences in subjective well-being. The results revealed that Taiwanese participants exhibited lower subjective well-being and higher others’ approval CSW than American participants. In addition, others’ approval CSW partially mediated the cross-cultural differences in subjective well-being. Thus, one reason for lower subjective well-being among Easterners was likely that their self-esteem was more prone to larger fluctuations depending on whether they receive approval from others in everyday life.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259280
Author(s):  
Säde Stenlund ◽  
Niina Junttila ◽  
Heli Koivumaa-Honkanen ◽  
Lauri Sillanmäki ◽  
David Stenlund ◽  
...  

Background The bidirectional relationship between health behavior and subjective well-being has previously been studied sparsely, and mainly for individual health behaviors and regression models. In the present study, we deepen this knowledge focusing on the four principal health behaviors and using structural equation modeling with selected covariates. Methods The follow-up data (n = 11,804) was derived from a population-based random sample of working-age Finns from two waves (2003 and 2012) of the Health and Social Support (HeSSup) postal survey. Structural equation modeling was used to study the cross-sectional, cross-lagged, and longitudinal relationships between the four principal health behaviors and subjective well-being at baseline and after the nine-year follow-up adjusted for age, gender, education, and self-reported diseases. The included health behaviors were physical activity, dietary habits, alcohol consumption, and smoking status. Subjective well-being was measured through four items comprising happiness, interest, and ease in life, and perceived loneliness. Results Bidirectionally, only health behavior in 2003 predicted subjective well-being in 2012, whereas subjective well-being in 2003 did not predict health behavior in 2012. In addition, the cross-sectional interactions in 2003 and in 2012 between health behavior and subjective well-being were statistically significant. The baseline levels predicted their respective follow-up levels, the effect being stronger in health behavior than in subjective well-being. Conclusion The four principal health behaviors together predict subsequent subjective well-being after an extensive follow-up. Although not particularly strong, the results could still be used for motivation for health behavior change, because of the beneficial effects of health behavior on subjective well-being.


Author(s):  
Ibrahim Niankara ◽  
Ghaleb A. El-Refae ◽  
Amer Qasim

Target 9.c of the 2015 United Nations (UN) sustainable development goals (SDGs) specifically addresses increasing access to information and communication technology (ICT) resources, and striving for universal access to the internet by 2020. The present study seeks to evaluate the effectiveness of the youth related national strategies implemented in this regard by a select number of countries in the Middle East region. The study does so, by relying on a spatial bivariate copula regression analysis of data on youth respondents from five countries, extracted from the 2018 Program for international students’ assessment (PISA). Focusing specifically on evaluating the availability of ICT resources to the youth population, and also identifying the impact of ICT resources on youth subjective well-being in the region, we find that except for the UAE and Qatar that have above OECD average youth performance on the ICT resource index, youth from the remaining countries reported below OECD level average access to ICT resources. The within region cross-country comparative analysis of ICT resources availability to the youth population at home, also highlighted significant heterogeneity across the five countries, post 2015 SDG adoption by UN country members. Furthermore, looking at the impact of ICT resources on youth well-being, controlling for not only cross-country spatial correlations, and factors such as home educational resources, cultural possessions at home, parental occupation status, youth expected occupation status, economic and socio-cultural status, age, gender, and grade level in school; we found that every standard deviation increase in ICT resources to the youth population in the region raises their self-expressed sense of belonging in school by 1.88% standard deviations. Given the empowering nature of ICT resources to youth, and the potential of both to support national as well as regional economic development initiatives, a concerted effort to ease ICT resources diffusion by member countries in the middle east region could assist not only each country in its own development path, but also the region as a whole to live up to its growth potential by the 2030.


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