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Productive Efficiency of the Rose Farming Business: A Comparison of DEA and SFA
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 Title & Authors
Productive Efficiency of the Rose Farming Business: A Comparison of DEA and SFA
Kim, Gi-Tae; Kim, Won-Kyeong; Jeong, Ji-Young;
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The purpose of this study is to examine the production efficiency of Rose farm and to explain the factors of the inefficiency. To analysis the production efficiency, SFA(Stochastic Frontier Analysis) and DEA(Data Envelopment Analysis) methods are measured, and then, Tobit regression model is used to analysis the influential factors on the production efficiency. As a result, first, the production efficiency by SFA is 88.4%, and by DEA, results are 78.5% and 85.2% in the CRS and VRS model, respectively. In particular, the production efficiency of the measurement results of the two methods are complementary, it is described in the same order of efficiency of each management body. Second, the results of tobit model shows that 6 input-factors are significant, and seed/nursery and material costs, which have the largest regression coefficient value and positive effect on production efficiency, are the most influential factors. Therefore, the results of this study indicates Rose farm can enhance their management efficiency by increasing amount of the seed/nursery and material costs.
DEA(Data Envelopment Analysis);Productive Efficiency;Rose Farming Business;SFA(Stochastic Frontier Analysis);Tobit regression;
 Cited by
K. H. Park, S. Y. Huh, D. S. Lee, "Strategic Development of Floricultural Industry for Stable Consumption and Export Industrialization", Korea Rural Economic Institute, 2013.

K. H. Park, S. H. So, "A Comparative Analysis of the Efficiency of Certified Integrated-Logistics Companies Using SFA and DEA" The Asian Journal of Shipping and Logistics, Vol. 79, No. 0, 2013.

J. Y. Choi, K. S. Kim, D. H. Kim, "Productive Efficiency of the Coastal Fishing Business : A Comparison of DEA and SFA", The Journal of The korean Operations Research and Management Science Society, Vol. 35, No. 3, 2010.

K. H. Han, "Total Factor Productivity, Efficiency Change and Technical Progress in Korean Manufacturing Industry: SFA and DEA", The Korean Academic Society of Business Administration, Vol. 53, No. 4, 2005.

D. S. Lee, H. T. Park, K. H. Park, "The Long-term Direction of Floricultural Industry Development", Korea Rural Economic Institute, 1997.

D. S. Lee, H. T. Park, K. H. Park, "Analysis of Management Situation for Cut Flower Farms", Korea Rural Economic Institute, 1998.

J. G. Kang, et al., "Analysis of Cost Structure for Production Cost Reduction in Horticultural Crops", Rural Development Administration, 2004.

J. G. Kang, Y. H. Maeng, I. K. Lee, "Determinants of Growth and Management Performance in Floricultural Industry", Agriculture Management Information 2009-1, Rural Development Administration, 2009.

H. D. Jang, "Analysis on Management Efficiency of Lily Farms Using DEA" Doctoral thesis, Chungnam University, 2007.

S. S. Lee, "A Comparative Study on the Estimation Technical Efficiency for Public Libraries in Korea : SFA and DEA, The Journal of Cultural Policy, Vol. 25, No. 2, 2011.

Aigner, D., C.A.K. Lovell, and P. Schmidt, "Formulation and Estimation of Stochastic Frontier Production Function Models," Journal of Econometrics, Vol. 6, No. 1, 1997: J. Y. Choi, K. S. Kim, D. H. Kim, Op. cit.

Kumbhakar, S.C. and C.A. Lovell, "Stochastic Frontier Analysis", Cambridge University Press, 2000: J. Y. Choi, K. S. Kim, D. H. Kim, op. cit.

S. H. Kim, T. S. Choi, D. W. Lee, "Efficiency Analysis - Theory and Practice", Seoulkyungjaekyungyoung, 2007.

J. D. Lee, D. H. Oh, "Theory of Efficiency Analysis", Jipilmedia, 2012.

J. H. Han, et al, "A Study on the Cost Reduction and Management Analysis of the Major Horticultural Crops", Korea Rural Economic Institute, 2013.

Ministry of Agriculture, Food and Rural Affairs, " Situation of Floriculture Cultivation Situation", 2013.

Rural Development Administration, "Annul Report of Agricultural and Livestock Products Income", 2013.