Using production input and productivity of local shallot with the implementation of Good Agriculture practices in Donggala, Indonesia

Christoporus C., Mustabjad M.M., Hanani N. and Syafrial S.
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Mustabjad M.M.: Agricultural Economics Department, University of Brawijaya
Hanani N.: Agricultural Economics Department, University of Brawijaya
Syafrial S.: Agricultural Economics Department, University of Brawijaya

Russian Journal of Agricultural and Socio-Economic Sciences, 2016, vol. 57, issue 9, 33-40

Abstract: The area of study is Tanantovea; a region located in Donggala Regency, Indonesia, towards 97 farmers participated in Good Agriculture Program (GAP) for local shallot agriculture that has met the Standard Operating Procedure (SOP) and 62 farmers who do not participate in the program. The purpose of the study is analyze the implementation of GAP towards production input between the farmers who participate in GAP and those who do not, and analyze partial productivity and Total Factor of Productivity (TFP) between the farmers who participate in GAP and those who do not. The t-test analyzes the production input shows that it is significant when α 1% two-tail test with probability rate of 0.000< 0.01; these indicate that there is different implementation of GAP towards production input between the farmers who participate in GAP and those who do not. The implementation of production input by GAP participants is higher than those the non-participants in that the participants are able to produce is 81.78% of seeds, 66.67% of organic fertilizer, 79.46% of inorganic fertilizer and 77.76% of pesticide. The amount of labor force by the GAP participants is 89.70 HOK or lower than the amount of labor force by non-participants that is 107.56 HOK. The t-test analyzing partial productivity shows that it is significant when α 10% in two-tailed test with probability rate of 0.052 < 0.10. These indicate there is different partial productivity between the farmers who participate in GAP and those who do not. The partial productivity of GAP participants is 6,289.25 kilograms per hectare and that of non-participants is 6,019.35 kilograms per hectare. For TFP, probability rate is 0.089 < 0.10 and the level of significance is 90% in two-tailed testing. These show significant difference in terms of TFP between the farmers who participate in GAP and those who do not. The average TFP of the GAP participants is 1.0076 kilogram per hectare and that of non-participant is 0.9622 kilograms per hectare.

Keywords: GOOD AGRICULTURE PRACTICESS (GAP); PRODUCTION INPUT; PRODUCTIVITY (search for similar items in EconPapers)
Date: 2016
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