Pengaruh Efisiensi Teknis Terhadap Pemilihan Lokasi Penjualan pada Usaha Tambak Bandeng di Indonesia

Mahfudlotul Ula


Milkfish farmers in Indonesia have several alternatives in selling their production,but the reality is most of them still sell their production on farm gate level. This is presumably due to the inefficient use of inputs and it has an impact on declining yields. Consequently, there’s a need for input improvement through the technical efficiency in order to increase the amount of yields, so the farmers have a stronger bargaining position and have the opportunity to access markets that offer a higher price. Therefore, the objectives of this study are (1) to measure the technical efficiency, (2) to analyze the correlation between technical efficiency and sales site choice, and (3) to analyze other factors that affect the farmers’ sale site choice. This study used data from census of agriculture 2013 as many as 1015 milkfish farmers in West Java. DEA approach is used to measure the technical efficiency, while logistic regression is used to analyze the factors that influence the farmers’ decisions. The results showed that the milkfish farmers have an average technical efficiency of 0.66. This technical efficiency had a positive influence on the selection of sale sites to the outside,  such as cooperatives, exports, and processing industries. The significant factors were age, institutional membership, education level, pond size, price, and quantity of production.



DEA analysis, farmgate, logistic regression, milkfish, travelling

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Bakhsh K, Ahmad B, Hassan S. 2006. Food Security Through Increasing Technical Efficiency.Asian Journal of Plant Sciences. 5(6): 970-976.

Barrett, C. B. 2008 Smallholder market participation: concepts and evidence from eastern and southern Africa. Food Policy. 33(4): 299–317

Cooper WW, Seiford LM dan Zhu J. 2002. Data Envelopment Analysis: History, Models, and Interpretations. Journal of Econometrics. 46.

Den DT et al. 2007. Technical Efficiency of Prawn Farms in the Mekong Delta, Vietnam. Australian Agricultural and Resource Economics Society New Zealand

Fafchamps M, Hill RV. 2005 Selling at the farmgate or traveling to market. American Journal of Agricultural Economics. 87(3): 717–734.

Fahmeir L, Tutz G. 1994. Multivariate Statistical Modelling Based on Generalized Linier Models. New York (NY): John Willey and Sons, Inc.

Kiet NT et al. 2011. Efficiency Analysis and the Effect of Pollution on Shrimp Farms in the Mekong River Delta. ISSN: 2185-6168.

Mburu LM, Wakhungu, Gitu K. 2007, Determinants of Smallholder Dairy Farmers' Adoption of Various Milk Marketing Channels in Kenya Highlands: Kenya

Sikawa GY, Mugisha J. 2010. Factors Influencing South-Western Uganda Dairy Farmers’ Choice of the Milk Marketing Channel: a Case Study of Kirihura Districtsouth Western Uganda. Research Report Serie. ISSN 0856-9681.

Tajerin, Noor M. 2005. Analisis Efisiensi Teknis Usaha Budidaya Pembesaran Ikan Kerapuh Dalam Keramba Jaring Apung di Perairan Teluk Lampun: Produktivitas, Faktor-faktorr yang Mempengaruhi dan Implikasi Kebijakan Pengembangan Budidayanya. Jurnal Ekonomi Pembangunan. 10(1): 95 – 105.

Xaba BG, Masuku MB. 2012 Factors affecting the choice of marketing channel by vegetable farmers in Swaziland. Sustainable Agriculture Research. 2(1): 112.



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