Analysis of Technical Efficiency of Small-Scale Rice Farmers in Indonesia

Authors

  • Fitri Wardana Interdisciplinary Graduate School of Agriculture and Engineering University of Miyazaki Gakuen-kibanadai-nishi-1-1, Miyazaki, 889-2192, Japan .
  • Naoyuki Yamamoto Faculty of Agriculture University of Miyazaki Gakuen-kibanadai-nishi-1-1, Miyazaki, 889-2192, Japan
  • Hideyuki Kano Faculty of Agriculture University of Miyazaki Gakuen-kibanadai-nishi-1-1, Miyazaki, 889-2192, Japan

DOI:

https://doi.org/10.11594/jtls.08.02.01

Keywords:

Small-Scale Rice Farmers, Hand Tractor, Data Envelopment Analysis, Technical Efficiency, Indonesia.

Abstract

In this study, we analyzed the performance of small-scale rice farmers who used hand tractors in Jember Regency, Indonesia. Data were collected from 144 small-scale rice farmers in six districts through the use of a questionnaire in September 2015. The Data Envelopment AnalysisSlack-Based Model (DEA-SBM) was used to calculate the technical efficiency of small-scale rice farmers based on seven inputs and one output by determining Overall Technical Efficiency (OTE), Pure Technical Efficiency (PTE), and Scale Efficiency (SE). The results showed that out of 144 small-scale rice farmers, only nine farmers and 14 farmers were evaluated as strongly efficient and weakly efficient, respectively, while the rest were categorized as inefficient. The average values for OTE, PTE, and SE were 0.41, 0.63, and 0.61, respectively. The observed inefficiency was because of both poor input utilization (managerial inefficiency) and failure to operate at an optimal scale (scale inefficiency). Such analysis of technical efficiency can encourage small-scale rice farmers to enhance their performance and profitability.

References

Bappenas (2014) Rencana pembangunan jangka menengah nasional 2015 – 2019. Jakarta, Bappenas.

Statistics Indonesia (2014) Census of agriculture (Various issues), BPS-Statistics Indonesia, 1998-2014. http://www.bps.go.id/. Accessed: March 2017.

Unadi A, Alihamsyah T, Budiarti U (2014) Policy on cus-tom hiring of agricultural machinery in Indonesia. Issue No. 4. Beijing, United Nations Centre for Sustainable Agricultural Mechanization.

Page JM (1980) Technical efficiency and economic per-formance: Some evidence from Ghana. Oxford Economic Papers 32 (2): 319 – 339. doi: 10.1093/oxfordjournals.oep.a041482.

Badan Ketahanan Pangan Jawa Timur dan World Food Programme (WFP) (2015) Peta Ketahanan dan Kerentanan Pangan Jawa Timur 2015. Surabaya, Badan Ketahanan Pangan Jawa Timur dan World Food Programme (WFP).

Brazdik F (2006) Non-parametric analysis of technical efficiency: factors affecting efficiency of West Java rice farms. Working Papers CERGE-EI 286: 1 – 45. doi: 10.2139/ssrn.1148203

Theocaropoulos A, Melfou K, Papanagiotou E (2007) A Microeconomic Approach for Agricultural Development: A DEA Application to Greek Sheep Farms. New Medit 6(4): 48-53.

Poudel K, Yamamoto N, Johnson G et al. (2015) Comparing technical efficiency of organic and conventional coffee farms in Nepal using data envelopment analysis (DEA) ap-proach. Organic Agriculture 5 (4): 263 – 275. doi: 10.1007/s13165-015-0102-x.

Fadzim WR, Aziz MIA, Mat SHC, Maamor S (2016) Estimating technical efficiency of smallholder cocoa farmers in Malaysia. International Journal of Economics and Financial Issues 6 (7S): 1 – 5.

Tipi T, Yildiz N, Nargeleçekenler M, Çetin B (2010) Measuring the technical efficiency and determinants of efficiency of rice (Oryza sativa) farmers in Marmara Region Turkey. New Zealand Journal of Crop and Horticultural Science 37 (2): 121 – 129. doi: 10.1080/01140670909510257.

Kaneva K (2016) Efficiency and productivity of Bulgarian farms. Bulgarian Journal of Agricultural Sciences 22 (2): 176 – 181.

Charnes A (1978) Measuring the efficiency of decision making units. European Journal of Operational Research 2 (6): 429 – 444. doi: 10.1016/0377-2217(78)90138-8.

Vincova K (2005) Using DEA models to measure efficiency. BIATEC, Volume XIII. http://www.nbs.sk/_img/Documents/BIATEC/BIA08_05/24_28. Accessed: March 2017.

Banker RD, Charnes A, Cooper WW (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science 30 (9): 1078-1092. doi: 10.1287/mnsc.30.9.1078.

Tone K (2001) A Slacks-Based Measure of Efficiency in Data Envelopment Analysis. European Journal of Operational Research 130 (3): 489 – 509. doi: 10.1016/S0377-2217(99)00407-5.

Tone K, Tsutsui M (2009) Network DEA: A slack based measure approach. European Journal of Operational Research 197 (1): 243 – 252. doi: 10.1016/j.ejor.2008.05.027.

Downloads

Published

2018-04-20

Issue

Section

Articles