![]() ![]() Much of the analysis focuses on measuring the short- and long-run effects of changes in income on happiness, but the mutual relationship between happiness and other outcomes that are at least partly economically determined (divorce, fertility and others) has also been discussed.Īt the same time a smaller, but also burgeoning literature on the effects of beauty on various outcomes has emerged (e.g., Hamermesh and Biddle, 1994 Möbius and Rosenblat, 2006, Benjamin and Shapiro, 2009, Mocan and Tekin, 2010, Hitsch et al., 2010). The Frey and Stutzer (2002) survey captured part of the literature, but there has been a continuing outpouring of research on happiness from an economic viewpoint (e.g., Andrew et al., 2008, Stevenson and Justin, 2008, Kahneman and Deaton, 2010, Oswald and Wu, 2011). 10.1016/j.jenvp.2013.07.016 WOS:000330335900020.While economists have studied happiness for several generations (Scitovsky, 1976, Easterlin, 2010), interest in it has burgeoned in the last 15 years. Let the sun shine! Measuring explicit and implicit preference for environments differing in naturalness, weather type and brightness. Effects of moderately bright light on subjective evaluations in healthy elderly women. Kohsaka M, Fukuda N, Honma H, Kobayashi R, Sakakibara S, Koyama E, et al. The impact of climate on life satisfaction. Does diurnal temperature range influence seasonal suicide mortality? Assessment of daily data of the Helsinki metropolitan area from 1973 to 2010. The findings suggest that weather conditions, economic situations, and personal health behaviors are all correlated with levels of happiness. ![]() ![]() Never engaging in physical activity appears to make people less happy. The micro-level analysis indicated that better health status and eating more vegetables or fruits are highly associated with happiness. To distinguish the effects of weather conditions on happiness in different seasons, we also adopted climate zone and seasonal variables. Sensitivity analyses of different intervals for average weather variables showed that macro-level conditions, including temperature, wind speed, elevation, and GDP, are positively correlated with happiness. After processing and filtering 55,081 records of ISSP 2011 survey data from 32 countries, we extracted 5,420 records from China and 25,441 records from 28 other countries. Our geospatial approach incorporates two major global datasets: representative national survey data from the International Social Survey Program (ISSP) and corresponding world weather data from the National Oceanic and Atmospheric Administration (NOAA). We contribute to this literature of happiness studies by using a geospatial approach to examine both macro and micro links to personal happiness. Past studies have shown that personal subjective happiness is associated with various macro- and micro-level background factors, including environmental conditions, such as weather and the economic situation, and personal health behaviors, such as smoking and exercise.
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