Large samples of data from the World Values Survey, the US Benchmark Survey and a comparable Canadian survey are used to estimate equations designed to explore the social context of subjective evaluations of well-being, of happiness, and of health. Social capital, as measured by the strength of family, neighbourhood, religious and community ties, is found to support both physical health and subjective well-being. Our new evidence confirms that social capital is strongly linked to subjective well-being through many independent channels and in several different forms. Marriage and family, ties to friends and neighbours, workplace ties, civic engagement (both individually and collectively), trustworthiness and trust: all appear independently and robustly related to happiness and life satisfaction, both directly and through their impact on health.
Large samples of data from the World Values Survey, the US Benchmark Survey and a comparable Canadian survey are used to estimate equations designed to explore the social context of subjective evaluations of well-being, of happiness, and of health. Social capital, as measured by the strength of family, neighbourhood, religious and community ties, is found to support both physical health and subjective well-being.Our new evidence confirms that social capital is strongly linked to subjective well-being through many independent channels and in several different forms. Marriage and family, ties to friends and neighbours, workplace ties, civic engagement (both individually and collectively), trustworthiness and trust: all appear independently and robustly related to happiness and life satisfaction, both directly and through their impact on health.
This paper attempts to explain international and inter-personal differences in subjective well-being over the final fifth of the twentieth century. The empirical work makes use of data from three waves of the World Values survey covering about fifty different countries. The analysis proceeds in stages. First there is a brief review of some reasons for giving a key role to subjective measures of well-being. This is followed by a survey of earlier empirical studies, a description of the main variables used, a report of results and tests, and discussion of the links among social capital, education, income and well-being. The main innovation of the paper, relative to earlier studies of subjective well-being, lies in its use of large international samples of data combining individual and societal level variables, thus permitting the simultaneous identification of individual-level and societal-level determinants of well-being. This is particularly useful in identifying the direct and indirect linkages between social capital and well-being.
The case is made for implementing national accounts of well-being to help policy makers and individuals make better decisions. Well-being is defined as people's evaluations of their lives, including concepts such as life satisfaction and happiness, and is similar to the concept of “utility” in economics. Measures of well-being in organizations, states, and nations can provide people with useful information. Importantly, accounts of well-being can help decision makers in business and government formulate better policies and regulations in order to enhance societal quality of life. Decision makers seek to implement policies and regulations that increase the quality of life, and the well-being measures are one useful way to assess the impact of policies as well as to inform debates about potential policies that address specific current societal issues. This book reviews the limitations of information gained from economic and social indicators, and shows how the well-being measures complement this information. Examples of using well-being for policy are given in four areas: health, the environment, work and the economy, and social life. Within each of these areas, examples are described of issues where well-being measures can provide policy-relevant information. Common objections to using the well-being measures for policy purposes are refuted. The well-being measures that are in place throughout the world are reviewed, and future steps in extending these surveys are described. Well-being measures can complement existing economic and social indicators, and are not designed to replace them.
This research provides the first support for a possible psychological universal: Human beings around the world derive emotional benefits from using their financial resources to help others (prosocial spending). In Study 1, survey data from 136 countries were examined and showed that prosocial spending is associated with greater happiness around the world, in poor and rich countries alike. To test for causality, in Studies 2a and 2b, we used experimental methodology, demonstrating that recalling a past instance of prosocial spending has a causal impact on happiness across countries that differ greatly in terms of wealth (Canada, Uganda, and India). Finally, in Study 3, participants in Canada and South Africa randomly assigned to buy items for charity reported higher levels of positive affect than participants assigned to buy the same items for themselves, even when this prosocial spending did not provide an opportunity to build or strengthen social ties. Our findings suggest that the reward experienced from helping others may be deeply ingrained in human nature, emerging in diverse cultural and economic contexts.
This paper summarizes recent empirical research on the determinants of subjective well-being. Results from national and international samples suggest that measures of social capital, including especially the corollary measures of specific and general trust, have substantial effects on well-being beyond those flowing through economic channels. Cross-national samples (supported by parallel analysis of suicide data) show large well-being effects from social capital and from the quality of government. Finally, Canadian life-satisfaction data show that several non-financial job characteristics, and especially the climate of workplace trust, have very large income-equivalent effects.
Using cross-sectional and pooled data for up to 125 countries over the period from 1960 to 1985, this article evaluates the two-way linkages between democracy and economic growth. The effects of income on democracy are found to be robust and positive. The effects of several measures of democracy and personal freedoms on growth are assessed in a comparative growth framework in which growth of GDP per adult depends negatively on initial income levels, as implied by the convergence hypothesis, and positively on rates of investment in physical and human capital. Adjusting for the simultaneous determination of income and democracy makes the estimated partial effect of democracy on subsequent economic growth negative but insignificant. This nonsignificant negative effect is in any case counterbalanced by the positive indirect effect that democracy exerts on growth via education and investment. The general result of the growth analysis is that it is still not possible to identify any systematic net effects of democracy on subsequent economic growth.
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