Factors Affecting Farmers Revenues In Bali Province (Results Analysis Of Agricultural Household Income Survey 2013)



By : Lin Purwati, S.ST

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Faculties : Fakultas Pertanian

Department : S2 Agribisnis

The agricultural sector in Bali Province is still a sustainable sector in the economy. However, during the last 10 years the contribution of the agricultural sector to the formation of added value and the absorption of labor continues to decline. On the other hand, the farmers' welfare level, which is represented through the Farmers Exchange Rate (NTP) indicates that in general the farmers in Bali Province are relatively prosperous. However, if observed further there are differences in the level of welfare of farmers between various agricultural sub-sectors. Farmers 'welfare can be proxyed from farmers' income level. Therefore, increasing the welfare of farmers one of them can be done by increasing the income of farmers. The purpose of this study is to determine the factors that affect the income of farmers in the sub-sector of food crops, horticulture, plantations, livestock, capture fisheries and aquaculture from the economic side and to know the factors that affect the income of farmers from the institutional side. The data used in this study is secondary data obtained from the Central Bureau of Statistics (BPS), which is the result of Household Income Survey 2013. The analysis method used is multiple linear regression analysis and binary logistic regression analysis. The results obtained from this research are: (1) Farmers do not rely on their income in any of the agricultural sub-sectors, but also integrate various agricultural sub-sectors and agricultural sectors with other sectors outside the agricultural sector to increase their income. (2) Farmers' income in food crop sub-sector is influenced by production value, seed cost and fertilizer cost influence. (3) The income of farmers in the horticulture, plantation and animal husbandry sub-sectors is influenced by the production value, the cost of fertilizer and the wage of workers. (4) Farmers' income in the aquaculture subsector is influenced by production value, seed / seed cost, feed and medicine cost, wage cost of workers, fishery service cost and other cost. (5) Farmers' income in the capture fisheries sub-sector is influenced by the production value, fuel cost, wage cost of workers, other fishing costs, and the cost of fishing services. (6) Farmers' earnings from the institutional side are influenced by aid / subsidies / grants, counseling, cooperative membership, utilization of cooperative facilities, ease of sale of products, financing sources and interactions between grants / subsidies / grants with membership in farmer groups.

Keyword : farmer income, multiple linear regression analysis, binary logistic regression analysis

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