Allocative Efficiency Analysys Production Function Of Cassava Farming (Manihot, Sp.) In Tenayan Raya Sub-District Of Pekanbaru City

[摘要] Cassava (Manihot sp) has long been known and cultivated by Indonesian farmers. The economic and social potential of cassava aside from foodstuffs can also be used as raw materials for industrial use and animal feed. In Riau Province, Cassva has the potential to be developed considering Cassva is a plant that can easily grow on low altitude to high altitude lands. Cassava does not need a complex maintenance. Conventionally, this plant can be planted and left alone by itself. Cassava roots can be developed to be a processed products that society needs as main foodstuffs ingredients. This research is done in three months and the purpose is to know the influence of input use (pesticide, seeds, fertilizers and labor) on cassava farming to cassava farming by the model of cobb-douglas. Other than that is also the effect on economical efficiency. The method used in this research is a quantitative research by using Cobb-Douglas Function Model. This research was done in the Tenayan Raya sub-district with 55 farmer samples. This research shows Cobb-Douglas Production Function can be used as the predictor for Cassava production function in Tenayan Raya Sub-district of Pekanbaru City. Altogether the production factor used by farmers influence production. Partially only usage of organic fertilizer that does not affect production, while other production factor such as, seeds, pesticides, an-organic fertilizer (urea) and labor affect production by quite a bit. Usage of production factor seeds, urea and pesticides is not yet efficient while usage of organic fertilizer is not efficient and usage of labor on cassava agriculture by respondent farmers is relatively efficient.

[发布机构] Universitas Lancang Kuning, Pekanbaru; 28265, Indonesia^1

[学科分类] 环境科学（综合）

[关键词] Allocative efficiency;Cobb Douglas functions;Cobb-Douglas production function;Economical efficiency;Organic fertilizers;Production factors;Production function;Quantitative research