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Domestic Resources Cost Analysis of Small-Scale Beef Cattle Farming at Upstream Area of Benain-Noelmina Watershed, West Timor, East Nusa Tenggara

Agus Arnold Nalle
  • Corresponding author
  • Doctoral student of Animal Science Faculty, University of Brawijaya, Malang, Indonesia
  • Faculty of Animal Science, Nusa Cendana University, East Nusa Tenggara, Indonesia
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/ B. Hartono / B. Ali Nugroho / H. D. Utami
Published Online: 2017-08-23 | DOI: https://doi.org/10.1515/opag-2017-0045

Abstract

The study aims to evaluate the Domestic Resources Cost (DRC) of beef cattle raised either on grazing, or a tethering system of small-scale beef cattle farming. The study was done using a survey method. A total of 120 respondents were selected purposively to consist of 60 farmers applying the grazing system and another 60 farmers applying the tethering system. The parameters measured were socio-economic characteristic, Domestic Resources Cost Ratio (DRCR) and Private Cost Ratio (PCR). Data were analyzed by applying a method of Policy Analysis Matrix (PAM). The result of the study indicated that 87% of those farmers involved in the grazing system and 85% of those involved in tethered beef cattle production, were within the productive age range. In the grazing system, the cattle farmers upstream of Benain-Noelmina watershed area gain the private and social profit levels which is IDR 406,284,-/AU/year and IDR 688,388,-/AU/year, respectively. Further, in the tethering system, the average of private and social profit gain is IDR 855,222,-/AU/year and IDR 1,385,712,-/AU/year, respectively. The small-scale beef cattle farming upstream of Benain-Noelmina watershed has competitive and comparative advantages, indicated by the value of PCR and DRCR which are less than 1. The PCR value was 0.41 in the grazing system and 0.71 on the tethering system; hence, the DRCR of the grazing system was 0.29 and 0.60 of the tethering system.

Keywords: cattle farmers; grazing system; tethering system

References

  • Bojnec S., Three concepts of competitiveness measures for livestock production in Central and Eastern Europe, Review, Agriculturae Conspectus Scientificus, 2003, 68(3), 209-220Google Scholar

  • BPS, Central Statistic Department of East Nusa Tenggara, 2015, Nusa Tenggara Timur Dalam Angka. Katalog BPS : 1102001.53Google Scholar

  • BPS, Central Statistic Department of East Nusa Tenggara, 2016, Nusa Tenggara Timur Dalam Angka. Katalog BPS : 1102001.53Google Scholar

  • Cafiero C., Agricultural policies in developing countries, Training materials, Ministry of Agriculture and Agrarian Reform, National Agriculture Policy, Damascus, 2003Google Scholar

  • Hartono B., Rohaeni E.S., Contribution to income of traditional beef cattle farmer households in Tanah Laut Regency, South Kalimantan, Indonesia, Livestock Research for Rural Development Journal, 2014, 26(8)Google Scholar

  • Hermansyah M.P., Analisis Biaya Sumberdaya Domestik Sapi Bali untuk Pengembangan Peternakan Rakyat di Kabupaten Lombok Tengah, Provinsi Nusa Tenggara Barat, Dissertation. Doctoral Program of Animal Science, Animal Husbandry Agribusiness, Postgraduate Program of Faculty of Animal Husbandry Brawijaya University, Malang, 2014Google Scholar

  • Hinnant, R.T., What Is an Animal-Unit? A Time to Conform, Rangelands, 1994, 16(1), 33-35Google Scholar

  • Ilham N., Wayan Rusastra I., Daya Saing Komoditas Pertanian : Konsep, Kinerja dan Kebijakan Pengembangan. Dalam Pengembangan Inovasi Pertanian, 2009, 3(1), 38-51Google Scholar

  • Kerven C., Robinson S., Behnke R., Kushenov K., Milner-Gulland EJ., Horseflies, wolves and wells: biophysical and socio-economic factors influencing livestock distribution in Kazakhstan’s rangelands. Land Use Policy, 2016, 52, 392-409CrossrefGoogle Scholar

  • Monke EA., Pearson SR, Policy analysis matrix for agricultural development. Cornell University Press, London, 1989Google Scholar

  • Pearson S.R., Gotsch C., Bahri S., Aplikasi Policy Analysis Matrix pada Pertanian Indonesia. First Edition, Yayasan Obor Indonesia Publishing, Jakarta, 2005Google Scholar

  • Sarma P.K., Raha S.K., Jorgensen H., An economic analysis of beef cattle fattening in selected areas of Pabna and Sirajgonj Districts., Journal of the Bangladesh Agricultural University, 2014, 12(1), 127-134Google Scholar

  • Simatupang P., Hadi P.U., Daya Saing Usaha Peternakan Menuju 2020. Pusat Penelitian dan Pengembangan Sosial Ekonomi Pertanian, WARTAZOA, 2004, 14(2), 45-57Google Scholar

  • Statistics Centre Agency, Indikator Kesejahteraan Rakyat, Jakarta, Indonesia, 2015Google Scholar

  • Waldron S.A., Brown C.G., Chinese and South-East Asian cattle production. In: Kahn, L (Eds.), Beef cattle production and trade, CSERO Publishing, Australia, 2014Google Scholar

  • Yuzaria D., Suryadi D., Analysis of profitability, competitive advantage, comparative advantage and impact of import policy on beef cattle business in West Java province, Agripet, 2011, 11(1), 32-38Google Scholar

About the article

Received: 2016-09-27

Accepted: 2017-05-08

Published Online: 2017-08-23

Published in Print: 2017-02-23


Citation Information: Open Agriculture, Volume 2, Issue 1, Pages 417–424, ISSN (Online) 2391-9531, DOI: https://doi.org/10.1515/opag-2017-0045.

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© 2017. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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