THE ROLE OF AGRICULTURE ON HOUSEHOLD INCOME AND ASSET OF FARMERS AT SAKHE VILLAGE XAYSETTHA DISTRICT ATTAPEU PROVINCE

In this study, a group of students deepened the purpose of the agricultural project to the income of farmers' households using cross-section data collected from a sample group of 425 households in Saka Village...

Abstract

In this study, a group of students deepened the purpose of the agricultural project to the income of farmers' households using cross-section data collected from a sample group of 425 households in Saka Village, Xaysettha District, Ataphu Province, using statistical descriptive methods to compare the frequency, percentage (%), and average values using the Multiple Regression equation estimated using the Ordinary Least Squares method (Ordinary Least Square: OLS) in estimating the role of the biodiversity conservation project on the income of farmers' households in Attaphu Province. The results of the study can be summarized as follows:.
The results of the test of the role of agriculture on the income of the farmers of Sakae Village, Xaysetha District, Ataphu Province found that all the independent variables used in the model can explain the change in household income. (Prob>F>F 0.000, which is less than the statistical significance level of 0.01, indicating that the equation can be used with a statistical confidence level of 99 percent.) There is an opposite effect, which is according to the initial estimate with a confidence level of 99 percent. The highest level of education of the household (Edu2): has a relationship in the same direction with the income of the household, which is according to the hypothesis set with a statistical confidence level of 99%; the profession is a farmer of the household (Job): There is a relationship in the same direction with the household income, which is according to the hypothesis set with a statistical confidence level of 99%; the number of main workers in all households (LF): There is a relationship in the same direction with household income, which is according to the hypothesis set with a statistical confidence level of 99%. Land in agriculture (Area): There is a relationship in the same direction with household income, which is according to the hypothesis set with a statistical confidence level of 95%, the number of employed workers. In agricultural production (PL), there is a relationship in the same direction with household income, which is according to the hypothesis set with a statistical confidence level of 99%. In households that raise animals (cows, goats, and pigs), there is a relationship in the same direction with household income, which is according to the set hypothesis but through a statistical test with a statistical confidence level of 99%. Poultry households (wide): there is a relationship in the same direction with the household income, which is according to the set hypothesis, but through a statistical test with a statistical confidence level of 99%; and crop households (Crop): there is a relationship in the same direction with the household income, which is according to the set hypothesis, but through a statistical test with a statistical confidence level of 99%. Factors that do not affect the income of farmer households are the gender of the head of the household, the status of the household, and whether the household has a business.