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Reseach Article

Technical Efficiency of Melon Farming in Kulon Progo: A Stochastic Frontier Approach (SFA)

by Ananti Yekti, Dwidjono Hadi Darwanto, Jamhari, Slamet Hartono
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 6
Year of Publication: 2015
Authors: Ananti Yekti, Dwidjono Hadi Darwanto, Jamhari, Slamet Hartono
10.5120/ijca2015907428

Ananti Yekti, Dwidjono Hadi Darwanto, Jamhari, Slamet Hartono . Technical Efficiency of Melon Farming in Kulon Progo: A Stochastic Frontier Approach (SFA). International Journal of Computer Applications. 132, 6 ( December 2015), 15-19. DOI=10.5120/ijca2015907428

@article{ 10.5120/ijca2015907428,
author = { Ananti Yekti, Dwidjono Hadi Darwanto, Jamhari, Slamet Hartono },
title = { Technical Efficiency of Melon Farming in Kulon Progo: A Stochastic Frontier Approach (SFA) },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 6 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number6/23597-2015907428/ },
doi = { 10.5120/ijca2015907428 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:28:24.968636+05:30
%A Ananti Yekti
%A Dwidjono Hadi Darwanto
%A Jamhari
%A Slamet Hartono
%T Technical Efficiency of Melon Farming in Kulon Progo: A Stochastic Frontier Approach (SFA)
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 6
%P 15-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Melon is a high-value horticulture commodity which is expected to increase farmer household’s income in Kulon Progo Regency. The purpose of farming is not only to gain the highest resulting output but also the efficiency of input usage. Knowing the magnitude and distribution of technical efficiency has important implications for input allocations and farming managerial capability improvement. FRONTIER 4.1 software helps to estimate the stochastic production frontier and technical efficiency, as well as the ineffiency model as a one step process (simultaneously). The sample of this research were 100 melon farmers in Kulon Progo. Stochastic Frontier Approach using Cobb Douglas production function was applied in this research. The result reveals that 1) land use, quantity of seed, NPK fertilizer, organic fertilizer, pesticide, ricefield agroecosystem and wet season contributed significantly to melon production; 2) technical efficiency indeces ranged from 0.33 to 0.99, with a mean of 0.64; 3) farmer’s age, level of education and large portion of loan for farming capital give significant influence to technical efficiency

References
  1. Badan Pusat Statistik. 2014. Berita Resmi Statistik Indonesia. Jakarta
  2. Direktorat Jendral Hortikultura. 2014. Basis Data Ekspor-Import Komoditi Pertanian. Kementrian Pertanian Republik Indonesia.
  3. Banani, Ade. Muslich Mustadjab. Djoko Koestiono, Syafrial. 2013. Production Management and Technical Efficiency of Red Onion Farming in Brebes Regency. Journal of Basic and Applied Scientific Research. 3(3), 85-90.
  4. Rajendran, Srinivasulu. 2014. Technical Efficiency of Fruits and Vegetables Producers in Tamil Nadu, India: A Stochastic Fronter Approach. Asian Jounal of Agriculture and Development, Vol. 11 No.1, 77-93.
  5. Nahraeni, Wini. S. Hartoyo. Y Syaukat. Kuntjoro. 2012. Pengaruh Kemiringa Lahan Dan Sistem Konservasi terhadap Efisiensi Usahatani Kentang Dataran Tinggi. Jurnal Pertanian. Vol. 3 No. 1, 1-12.
  6. Suharyanto, Mulyo, J.H., Darwanto, D.H., Widodo, S. 2013. Analisis Efisiensi Teknis Pengelolaan Tanaman Terpadu (PTT) Padi Sawah Di Provinsi Bali. Jurnal SEPA Vol. 9. No.2, 219-230
  7. Bravo-Ureta, B. E and Rieger, L. 1991. Dairy Farm Efficiency Management Using Stochastic Frontiers and Neoclassical Duality. American Journal of Agricultural Economics, 73(2), 421-428.
  8. Soekartawi, 2002. Analisis Usahatani. Jakarta : UI Press
  9. Lau, L. J., and P. A. Yotopoulos, 1971. A Test for Relative Efficiency and Aplication to Indian Agriculture. American Journal of Agricultural Economics, 61(3), 94-109
  10. Taraka, Kallika. Mad Nasir Shamsudin. Ismail Abd, Latif. Shaufique bin Ahmad Sidique. 2012. Estimation of Technical Efficiency for Rice Farms in Central Thailand Using Stochastic Frontier Approach. Asian Journal of Agriculture and Fevelopment, Vo. 9. No.2, 1-11.
  11. Dijk, M. van, and A. Szirmai, 2006. Technical Efficiency and Embodied Technical Change in the Indonesian Pulp and Paper Industry’, Journal of International Development, 18, 163-178.
  12. Beattie, Bruce dan C. Robert Taylor. 1994. Ekonomi Produksi. Terjemahan Soeratno Josohardjono dan Gunawan Sumodiningrat. Gadjah Mada Universty Press. Yogyakarta.
  13. Doll, J.P and Orazem, F,. 1978. Production Economics: Theory with Application. Grind Inc. Columbus. Ohio.
  14. Green, W. H. 1993. The Economic Approach to Effciency Analysy. In Fried H.O., C.A.K. Lovel, and P. Schmidt (eds). The Measurment of Productivity Efficiency: Technique and Applications. Oxford University Press. New York.
  15. Saptana. Arief Daryanto. Heny, K. Daryanto. Kuntjoro. 2010. Analisis Efisiensi Teknis Produksi Usahatani Cabai Merah dan Perilaku Petani dalam Menghadapi Risiko. Jurnal Agro Ekonomi. Volume 28 No.2, 153-188.
  16. Battese, G.E. and Coelli, T.J., 1995. A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics. 20, 325-332.
  17. Kompas, Tom. 2001. Cacth Efficiency and Management: a Stochastic Production Analysis of the Australian Northern Prawn Fishery. International and Development Economics Working Paper 1-8. The Australian National University.
  18. Pascoe, S., Kirkley, J.E., Greboval, D., Morrison-Paul, C.J. 2003. Measuring and assessing capacity in fisheries. 2. Issues and methods. FAO Fisheries Technical Paper. No. 433/2. Rome, FAO. 130p
  19. Aigner, D.J., C.A.K. Lovell and P. Schmidt. 1977. Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21-37.
  20. Coelli, T. J., D. S. P. Rao and G.E. Battese. 2005. An Introduction to Efficiency and Productivity Analysis 2nd, Springer Science + Business Media, Inc.
  21. Battese, G.E., and T.J. Coelli. 1995. A Model for Technical Inefficiency Effect in Stochastic Frontier Production Function for Panel Data. Empirical Economics 20 (2), 325-332.
  22. Coelli, T. J. 1996. A Guide to FRONTIER Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation, CEPA Working Paper 96/07, Departemen of Econometrics, University of New England, Armidale, NSW, 2351, Australia.
  23. Sumaryanto, 2001. Estimasi Tingkat Efisiensi Usahatani Padi Dengan Fungsi Produksi Frontir Stokastik. Jurnal Agro Ekonomi. 19 (1), 65-84.
  24. Rahman, K.M.M, M.I.A. Mia and M.K.J. Bhuyan. 2012. A Stochastic Frontier Approach to Model Technical Efficiency of Rice Farmers in Bangladesh: An Empirical Analysis. The Agriculturists 10(2), 9-19.
Index Terms

Computer Science
Information Sciences

Keywords

Melon Farming Technical Efficiency Stochastic Frontier Frontier 4.1.