Abstract
Happiness is considered one of the goals of individuals and nations. Thus, many interdisciplinary efforts have attempted to
determine the factors that lead to happiness. However, most of these efforts have ignored some important but less tangible
factors, such as having a free press and a healthy environment. In this study, we argue that press freedom—a measure of social
capital—along with human and built capital, and natural capital, predicts levels of life satisfaction across nations. Using
data from 161 countries, our study provides empirical support to our theoretical model that forms of capital do not influence
life satisfaction separately but are actually situated in a web of interrelationships. This is consistent with the assumptions
that the road to happiness is not direct. It is a complex path where different forms of capital influence one another before
leading to a happy life.
determine the factors that lead to happiness. However, most of these efforts have ignored some important but less tangible
factors, such as having a free press and a healthy environment. In this study, we argue that press freedom—a measure of social
capital—along with human and built capital, and natural capital, predicts levels of life satisfaction across nations. Using
data from 161 countries, our study provides empirical support to our theoretical model that forms of capital do not influence
life satisfaction separately but are actually situated in a web of interrelationships. This is consistent with the assumptions
that the road to happiness is not direct. It is a complex path where different forms of capital influence one another before
leading to a happy life.
- Content Type Journal Article
- Pages 1-14
- DOI 10.1007/s11205-012-0109-6
- Authors
- Edson C. Tandoc Jr., Missouri School of Journalism, University of Missouri-Columbia, 179 Gannett Hall, Columbia, MO 65201, USA
- Bruno Takahashi, School of Journalism and Department of Communication, Michigan State University, 305 Comm. Arts & Sciences Bldg., MSU Campus, East Lansing, MI 48824, USA
- Journal Social Indicators Research
- Online ISSN 1573-0921
- Print ISSN 0303-8300