A Study on the Management Efficiency of “Seolhyang” strawberries Farms Used SBM-DEA Model with Undesirable Output

초록

Ninety-nine strawberry farmers were assessed. A slacks-based and data envelopment analysis measure (SBM-DEA) of efficiency with an undesirable output was used to analyze the technical efficiency of farmers by taking carbon dioxide (CO2) as the undesirable output. Only 14 (14.14%) were technically efficient under a constant return to scale (CRS) and scale efficiency, while 30 (30.3%) households were technically efficient under variable return to scale (VRS). On average, the estimated technical efficiency scores of 'Seolhyang' strawberry farmers in the study area under the technical efficiency of the CRS (TECRS) assumption, technical efficiency of the VRS (TEVRS) assumption, and scale efficiency (SE) assumption were approximately 0.35, 0.53, and 0.60, respectively. The Tobit regression model was used to identify the factors influencing the technical efficiency of 'Seolhyang' strawberries. CO2 emissions, heating or not, and the land area negatively affected the technical efficiency, while the organic fertilizer ratio positively affected the technical efficiency. The effects of strawberry planting experience on the technical efficiency were not statistically significant. Therefore, agricultural policies should include measures to reducing the use of pesticides and fuels that emit high emissions and improve the use of organic fertilizers for sustainable strawberry development.

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