{"refrec":{"BRefID":302461,"RR":"<b>Brereton, F.; Clinch, J.P.; Ferreira, S.M.</b> (2008). Happiness, geography and the environment. <i>Ecol. Econ. 65(2)</i>: 386-396. <a href=\"https://dx.doi.org/10.1016/j.ecolecon.2007.07.008\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecolecon.2007.07.008</a>","BEntID":294705,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Ecol. Econ. 65(2)</i>: 386-396. <a href=\"https://dx.doi.org/10.1016/j.ecolecon.2007.07.008\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecolecon.2007.07.008</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Brereton, F.; Clinch, J.P.; Ferreira, S.M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Brereton, F. <i>et al.</i>","Englishabstract":"In recent years, economists have been using socio-economic and socio-demographic characteristics to explain self-reported individual happiness or satisfaction with life. Using Geographical Information Systems (GIS), we employ data disaggregated at the individual and local level to show that while these variables are important, consideration of amenities such as climate, environmental and urban conditions is critical when analyzing subjective well-being. Location-specific factors are shown to have a direct impact on life satisfaction. 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