Abstract:We investigated 208 households at 18 villages which were respectively located in Shuangliu country and Chongzhou town in Chengdu city.A quantitative analysis framework of household livelihood assets of hexagon was constructed.The differences among livelihoods were taken into consideration according to the region and the households` type.Using Gray relation analysis model and ordinal Logit regression analysis,we analyze the relationship between the divergence of peasant households` livelihoods and their life satisfactions.The results show as follow.Firstly,there exist region spatial differences and type heterogeneity in household livelihood assets.Namely,the peasants` total livelihood assets were the lowest at Yongan town,and its households-one with combined occupations had the highest total livelihood assets and households-two with combined occupations had the lowest total livelihood assets.Secondly,the peasants` life satisfactions were difference according to the regions and peasants` occupations.The trend of peasants` life satisfactions at Yongan town and Jiangyuan town were increasing.Non-farmers and pure farmers` life satisfactions were apparently higher than those farmers with combined occupations.Thirdly,it exist the coupling relationship between peasant households` livelihood assets and their life satisfactions.The gray correlation between peasant households` total livelihood assets and their life satisfactions was 0.4822.Among them,the biggest grey relational coefficient between the peasants` psychological assets and their life satisfactions is 0.6860.On the contrary,the least grey relational coefficient was 0.4806,between the peasants` nature assets and their life satisfactions.Lastly,the livelihood assets had a significant impact on the peasants` life satisfaction.The increase of the human assets,nature assets,social assets and psychological assets could increase the increasing probability of the peasants’ life satisfaction,on the contrast,the increase of the physical assets and financial assets could decrease the increasing probability of the peasants’ life satisfaction.