Structural Equation Modeling of Farmer's Quality of Life

This research aims to analyze the structural equation modeling of farmer's quality of life and propose guidelines for promoting and improving the farmers’ quality of life. The results showed that the integrated causal structural factor influencing farmers’ quality of life was consistent with the empirical data. Determined from the harmonization index, it consists of χ2 = 585.945, df = 387, P-Value = 0.085, CFI = 0.921, TLI = 0.936, SRMR = 0.024,RMSEA = 0.048 and χ2/df = 1.514. Every variable has a construct reliability value (ρ_c), between 0.965-0.998 above the threshold (0.60), construct validity values meet the specified criteria. The indicator had an element weight between 0.445-0.976, statistically significant at the 0.01 level for all of them, residual values are between 0.040-5.579. The accuracy (R2) of the structural equation affecting farmers’ quality of life was 0.775. All variables in the model together predicted the farmers’ quality of life by 77.50% with statistical significance at the 0.01 level. The variable that directly affects farmers' quality of life the most is governmental support (G). The most indirect influencing variable was the sufficiency economy lifestyle (S). Together, all variables in the model accounted for 82.70% of the latent variables in quality of life variance. In addition, guidelines for promoting and improving the farmers’ quality of life found that: improving the farmers’ quality of life and peasants should first focus on economic development, farmers' attitudes towards living under the principles of sufficiency economy, dependence, organic farming, chemical fertilizers etc