The Business Efficiency of Agroprocessing of Food Crops Commodities and Horticulture in Increasing Product Competitiveness in Central Sulawesi Indonesia
Abstract
The agroprocessing subsystem is an important part of the agricultural process after farming, because it should increase the sale value of the second derivative product if it is done efficiently. The potential use of efficient factors could increase the competitiveness of agroprocessing subsystems products. This study aims to analyze the business efficiency of agroprocessing of food crops commodities and horticulture in increasing product competitiveness in Central Sulawesi. The respondents used in this study were 12 companies from the agroindustry business of fried onion and banana chips and 6 companies from the tofu agroindustry. The Data Envelopment Analysis (DEA) model was used to measure the efficiency of the business. The results showed that the majority of agroindustry businesses’ operations were relatively inefficient, both in terms of technical and allocative efficiency, and so there was potential to increase efficiency. Potential cost reduction ranged from 20.00-28.10%; this could be done by adopting the best technology, ensuring the use of quality raw materials and using a skilled workforce, to increase product competitiveness.
References
[2] Amanor-Boadu, V. 2003. Preparing for Agricultural Value-Adding Business Initiatives: First Things First. Agricultural Marketing Resource Center, Department of Agricultural Economics, Kansas State University, Manhattan. Available at: http://agmanager.info/agribus/busdev/assess/Preparation%20Steps.pdf
[3] Anderson, D.P. and Hanselka, D. 2009. Adding Value to Agricultural products. Texas AgriLife.
[4] Born, H. and Bachmann, J. 2006. Adding Value to Farm Products: An Overview. Appropriate Technology Transfer for Rural Areas - National Center for Appropriate Technology.” Available at: https://attra.ncat.org/attra-pub/summaries/summary.php?pub=270
[5] Brees, M., Parcell, J. and Giddens, N. 2009. Capturing vs. Creating Value. MU Agricultural Guide, University of Missouri Cooperative Extension. Available at: http://extension.missouri.edu/p/G641
[6] Carsono, N. 2008. The Role of Plant Breeding in Increasing Agricultural Production in Indonesia. Presented at the Seminar on Agricultural Sciences, in Tokyo. Available at: http://pustaka.unpad.ac.id/wp-content/uploads/2009/08/peran_pemuliaan_tanaman.pdf
[7] Coelli, T. 1996. A guide to DEAP version 2.1: A data envelopment analysis (computer program). Department of Econometrics, University of New England, Armidale, Australia.
[8] Djanibekov, U. and Finger, R. 2018. Agricultural Risks and Farm Land Consolidation Process in Transition Countries: The Case of Cotton Production in Uzbekistan.” Agricl Syst., 164: 223–235. DOI:https://doi.org/10.1016/j.agsy.2018.03.009
[9] Effendy. 2018. Factors affecting variation of total factor productivity in cocoa farming in the Central Sulawesi, Indonesia. AJCS., 12(04): 655-660.
[10] Effendy, et al. 2019 Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia. PLoS ONE, 14(4), e0214569. DOI:https://doi.org/10.1371/journal.pone.0214569
[11] Joyner, L., Carol, K., Jason, O. and Daniel, K. 2017. Exploring Emotional Response to Images Used in Agritourism Destination Marketing. J of Desti Mark & Manag, DOI:https://doi.org/10.1016/j.jdmm.2017.10.004
[12] Karimov, A. 2013. Productive efficiency of potato and melon growing farms in Uzbekistan: A two stage double bootstrap data envelopment analysis. Agric., 3: 503-515.
[13] Kołodziejczak, A. 2010. Models of agriculture and the spatial diversity of ways of farming in Polish agriculture. UAM, Poznan (in Polish).
[14] Lambert, D.K., Lim, S.H. and Tweeten, K. 2006. Agricultural Value Added: Prospects for North Dakota. Department of Agribusiness and Applied Economics, Agricultural Experiment Station, North Dakota State University. Available at: http://ageconsearch.umn.edu/bitstream/23652/1/ae060008.pdf
[15] Riadi, F., Machfud, Tajuddin, B. and Ilah, S. 2011. Integrated natural rubber agroindustry development model. J of Agro Tech IPB, 21(3). http://jesl.journal.ipb.ac.id/index.php/jurnaltin/article/view/4776
[16] Sarkar, S.F., et al. 2018. Enabling a Sustainable and Prosperous Future through Science and Innovation in the Bioeconomy at Agriculture and Agri-Food Canada. New Biotec., 40: 70–75. DOI:https://doi.org/10.1016/j.nbt.2017.04.001
[17] Singh-Peterson, L. and Iranacolaivalu, M. 2018. Barriers to Market for Subsistence Farmers in Fiji – A Gendered Perspective. J of Rural Stud., 60: 11–20. DOI:https://doi.org/10.1016/j.jrurstud.2018.03.001
[18] Tancoigne, E., Barbier, M., Jean-Philippe, C. and Guy, R. 2014. The Place of Agricultural Sciences in the Literature on Ecosystem Services. Eco Serv., 10: 35–48. DOI:https://doi.org/10.1016/j.ecoser.2014.07.004
[19] Ullah, A. and Perret, S.R. 2014. Technical and environmental-efficiency analysis of irrigated cotton-cropping systems in Punjab, Pakistan using data envelopment analysis. Envi Manag., 54: 288–300.
[20] Womach, J. 2005. Agriculture: A Glossary of Terms, Programs, and Laws, 2005 Edition. Congressional Research Service, Library of Congress, Washington, DC.
[21] Yu, H., et al. 2017. Food Safety and Food Quality Perceptions of Farmers’ Market Consumers in the United States. Food Cont., 79: 266–71. DOI: https://doi.org/10.1016/j.foodcont.2017.04.010
[22] Ziołkowska, J. 2009. Determinants of technical efficiency measured with the DEA method. Zagad Eko Rol.. 3: 124–132.
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